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  <front>
    <journal-meta>
<journal-id journal-id-type="publisher">NHESS</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESS</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1684-9981</issn>
<publisher><publisher-name>Copernicus Publications</publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>

    <article-meta>
      <article-id pub-id-type="doi">10.5194/nhess-16-1289-2016</article-id><title-group><article-title>Causes and systematics of inundations of the Krasnodar territory on the
Russian Black Sea coast</article-title>
      </title-group><?xmltex \runningtitle{Causes and systematics of inundations of the Krasnodar territory}?><?xmltex \runningauthor{N. Alexeevsky et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff4">
          <name><surname>Alexeevsky</surname><given-names>Nikolay</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Magritsky</surname><given-names>Dmitry V.</given-names></name>
          <email>magdima@yandex.ru</email>
        <ext-link>https://orcid.org/0000-0002-4953-8376</ext-link></contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1">
          <name><surname>Koltermann</surname><given-names>Klaus Peter</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff2">
          <name><surname>Krylenko</surname><given-names>Inna</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff1 aff3">
          <name><surname>Toropov</surname><given-names>Pavel</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Lomonosov Moscow State University, Moscow, Russia</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>Water Problem Institute, Russian Academy of Sciences, Moscow, Russia</institution>
        </aff>
        <aff id="aff3"><label>3</label><institution>Institute of Geography, Russian Academy of Sciences, Moscow, Russia</institution>
        </aff>
        <aff id="aff4"><label>†</label><institution>Deceased in 2015</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Dmitry V. Magritsky (magdima@yandex.ru)</corresp></author-notes><pub-date><day>8</day><month>June</month><year>2016</year></pub-date>
      
      <volume>16</volume>
      <issue>6</issue>
      <fpage>1289</fpage><lpage>1308</lpage>
      <history>
        <date date-type="received"><day>6</day><month>December</month><year>2015</year></date>
           <date date-type="rev-request"><day>30</day><month>November</month><year>2015</year></date>
           <date date-type="rev-recd"><day>3</day><month>May</month><year>2016</year></date>
           <date date-type="accepted"><day>11</day><month>May</month><year>2016</year></date>
      </history>
      <permissions>
<license license-type="open-access">
<license-p>This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/3.0/">http://creativecommons.org/licenses/by/3.0/</ext-link></license-p>
</license>
</permissions><self-uri xlink:href="https://nhess.copernicus.org/articles/.html">This article is available from https://nhess.copernicus.org/articles/.html</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/articles/.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/articles/.pdf</self-uri>


      <abstract>
    <p>The inundation situations on the Black Sea coast of the Krasnodar
territory for the period from 1945 until 2013 were analysed and the main
types of inundations at the coast are described. Synoptic factors of the
formation of extreme precipitation and rainfall floods, features and regularities
of the downstream flood wave transformation in the rivers are also studied.
Therefore, assessments of seasonal and maximum flow of the Black Sea coast
rivers for the period of hydrometric measurements were done. Regularities of
change of the occurrence of inundations and their characteristics on the
coastal terrain were analysed, for a year and on a perennial timescale.</p>
    <p>Most catastrophic and exceptional inundations arise in the summer and in
early autumn. Small inundations during the remaining year reflect the
seasonal distribution of river flow and floods in the Black Sea rivers.
Extensive and sometimes extreme precipitation dominates the river flow
regimes. The seasonal distribution of small and moderately dangerous
inundations reflects, on average, a water regime of two groups of rivers of
the coast – to the north and to the south of the Tuapse River. To the north
of the Tuapse River, floods prevail from November until March (up to 70 %
of observed floods took place in this period)
as a result of precipitation and winter snowmelt during frequent thaw
periods. In winter, high waters often overlap to form a multi-peak high water
of 2–3 weeks' duration. In the summer and in early autumn we observe a steady
low flow. The total amount of runoff increases both in a southeast direction,
and with the altitude of the river basins. Interannual variability of mean
annual runoff, as well as maximum runoff, on the contrary decreases in the
southern direction and with an increasing area of the river basins. The coastal
high waters of the rivers of the Sochi part of the coast are typical at any time of the
year, but more often floods in the cold season result from incessant rain,
and thawing snow. Annually up to 25 floods have been observed. The principal
reason of such distribution is the increase of extreme rainfall in the warm
season.</p>
    <p>Orographic features of the coast and detailed features of rainfall only cover
a small number of local river basins and a limited area. The geographical
correlation of individual rainfall and subsequent floods ceases to be
statistically significant for distances over 40–60 km.</p>
    <p>The annual flow cycle is mainly determined by two seasons, winter/spring and
summer, with strong and weak flows, respectively; almost 71 % of all
catastrophic and exceptional inundations took place in July–August
(71 %) and in October–November (29 %). The characteristic features
of dangerous floods are their rapid formation and propagation, a significant
increase of water level (up to 5–7 m and more) and the multiple increase of
water discharges in comparison with low flow period.</p>
    <p>Analysis of the interannual changes of the number of inundations at the
Black Sea coast of the Krasnodar territory has shown some increase of the number
of inundations in the period from the early 1970s until the early years of
the twenty-first century.</p>
    <p>Quantitative assessments of risk, hazard and damage for the population and
economic activities from accidental inundations in the valleys of the Black
Sea coast rivers show that economic and social losses from inundations at
the Black Sea coast of the Krasnodar territory are some of the highest in the
Russian Federation. The basic conclusion from recent inundations is the need
to consider not only the lower reaches and mouths of the Black Sea coast
rivers where the main part of the social and economic development of the
coast is concentrated, but also whole river basins and catchments. Further,
an analysis of the efficiency of the measures applied at the coast to
mitigate inundations and their after-effects is provided.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p>Coasts, valleys and river mouths are often subject to the influence of
various dangerous hydrological phenomena. Of all dangerous phenomena,
inundations result in the most significant economic and ecological damages,
and are the greatest danger to the population. According to numerous data on
the inundations in the river mouths and in the coastal zones of the European
part of Russia (from the eighteenth to the twentieth century until 2013), collected by the
authors of this paper (Alexeevsky et al., 2013), materials of
Taratunin (2000) and other sources, the Black Sea coast of the
Krasnodar territory is the most effected coastal region in Russia. In this
rather small area, there were five catastrophic inundations during the last
10–20 years, which resulted in huge material damages and considerable human
loss. Further, nine large and a number of smaller inundations took place.
Recent devastating inundations happened in July and August 2012.
Inundations on  6–7 July 2012 affected the coast and the northern
slopes of the Caucasus (city of Krymsk), and led to the deaths of about 170
people and to material damage of ca. USD 625 million (Alexeevsky
et al., 2013; Volosuhin and Tkachenko, 2013).</p>
      <p>In general, there is a certain increase in the number and the magnitude of
inundations. If it is so, which factors cause this trend? Is it the reaction
to global and regional climate changes, the intensification of instabilities
of the climate system? What is the effectiveness of the present-day system
of inundation forecasts, prevention and of timely warning people about
floods danger? Which potential means are available to strengthen this
system?</p>
      <p>Unfortunately, there are presently no clear answers for too many of these questions, for several principal reasons. First, despite the known significant
hydrological hazards, a complex survey of the inundation situation at the
Black Sea coast of the Russian Federation has practically not been done
until the present day. Many available publications have a narrative
character and focus on the description of recent catastrophic inundations
and their effects (Vorobyev, 2003; Evsyukov et al., 2013; Ermachkov, 2010;
Taratunin, 2000; Tkachenko, 2012). Important elements of scientific
analysis are found in some works (Barinov, 2009; Belyakova et al., 2013;
Kononova, 2012; Magritsky et al., 2013a, b; Panov et al., 2012; Sergin et al.,
2001; Svanidze et al. 1983; Tkachenko, 2012; Volosuhin and Tkachenko, 2013), in
the Atlas of connatural and technogenic dangers and risks of emergencies
of the Southern Federal district (2007) and in papers of the Kuban State
Agrarian University. Secondly, there is a lack of high-quality data on
inundations observed in the past, especially in the twentieth century, on the basic
characteristics of inundations (areas submerged, their spatial extent, the
intensity of their development and duration, depths of flooding, water
levels and discharges) and information on the amount and the structure of the
estimated damage. Thirdly, it is the lack of necessary details and reliable
long series of observational data. Hydrological monitoring is not available
for all rivers of the coast. The frequency of observations is normally twice a day, and in official hydrological directories the data are
published, in general, averaged over 1 day, whereas high waters form and
pass within some hours. Hydrological gauge stations only have short time
series of observations. Many stations have been discontinued;
there are practically no rivers with several gauging stations along their course.
Moreover, in view of the complex orography and particular spatial and
temporal features of precipitation, the observations at meteorological
stations are not always representative, even for adjacent river basins.
Meteorological radars at the coast were not available until recently.</p>
      <p>The lack of necessary data for detailed research and better
understanding of factors and fundamental physics of the flood phenomenon and
knowledge of key parameters is probably one of the reasons for the inefficiency of
measures applied at the coast to cope with inundations and their effects.
The data collected by the authors and results of our long-term research of
the inundation problem, quantitative, graphic and cartographical
interpretations of available information allows the gap in
knowledge to now be filled, and new research to be initiated.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1" specific-use="star"><caption><p>Average water discharges and season distribution of water flow of
the rivers of the Black Sea coast of the Krasnodar territory.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.9}[.9]?><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="85pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="42pt"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="60pt"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="57pt"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="85pt"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="20pt" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="27pt" colsep="1"/>
     <oasis:colspec colnum="8" colname="col8" align="justify" colwidth="27pt" colsep="1"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="20pt"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">River, <?xmltex \hack{\hfill\break}?>gauging station</oasis:entry>  
         <oasis:entry colname="col2">The basin <?xmltex \hack{\hfill\break}?>area, km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col3">Average <?xmltex \hack{\hfill\break}?>altitude  of <?xmltex \hack{\hfill\break}?>basin, m</oasis:entry>  
         <oasis:entry colname="col4">The period  of<?xmltex \hack{\hfill\break}?>observation</oasis:entry>  
         <oasis:entry colname="col5">Average water <?xmltex \hack{\hfill\break}?>discharge (m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>)<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula>/<?xmltex \hack{\hfill\break}?>variation coefficient<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry rowsep="1" namest="col6" nameend="col9" align="center" colsep="0">Season distribution of water flow (%) </oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3"/>  
         <oasis:entry colname="col4"/>  
         <oasis:entry colname="col5"/>  
         <oasis:entry colname="col6">Spring</oasis:entry>  
         <oasis:entry colname="col7">Summer</oasis:entry>  
         <oasis:entry colname="col8">Autumn</oasis:entry>  
         <oasis:entry colname="col9">Winter</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Gostagayka, <?xmltex \hack{\hfill\break}?>Gostagaevskaya</oasis:entry>  
         <oasis:entry colname="col2">106</oasis:entry>  
         <oasis:entry colname="col3">160</oasis:entry>  
         <oasis:entry colname="col4">1949–2000, <?xmltex \hack{\hfill\break}?>2009–2011</oasis:entry>  
         <oasis:entry colname="col5">0.36/0.59</oasis:entry>  
         <oasis:entry colname="col6">39.8</oasis:entry>  
         <oasis:entry colname="col7">10.8</oasis:entry>  
         <oasis:entry colname="col8">6.2</oasis:entry>  
         <oasis:entry colname="col9">43.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Dyurso, <?xmltex \hack{\hfill\break}?>Abrau-Dyurso</oasis:entry>  
         <oasis:entry colname="col2">51.9</oasis:entry>  
         <oasis:entry colname="col3">190</oasis:entry>  
         <oasis:entry colname="col4">1948–1976</oasis:entry>  
         <oasis:entry colname="col5">0.47/0.36</oasis:entry>  
         <oasis:entry colname="col6">32.3</oasis:entry>  
         <oasis:entry colname="col7">7.2</oasis:entry>  
         <oasis:entry colname="col8">6.3</oasis:entry>  
         <oasis:entry colname="col9">54.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mezyb, Vozrozhdenie</oasis:entry>  
         <oasis:entry colname="col2">100</oasis:entry>  
         <oasis:entry colname="col3">–</oasis:entry>  
         <oasis:entry colname="col4">1983–1994</oasis:entry>  
         <oasis:entry colname="col5">2.0/–</oasis:entry>  
         <oasis:entry colname="col6">–</oasis:entry>  
         <oasis:entry colname="col7">–</oasis:entry>  
         <oasis:entry colname="col8">–</oasis:entry>  
         <oasis:entry colname="col9">–</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Aderba, Sveltyi</oasis:entry>  
         <oasis:entry colname="col2">57.4</oasis:entry>  
         <oasis:entry colname="col3">250</oasis:entry>  
         <oasis:entry colname="col4">1966–1993, <?xmltex \hack{\hfill\break}?>1996–1997</oasis:entry>  
         <oasis:entry colname="col5">0.94/0.36</oasis:entry>  
         <oasis:entry colname="col6">32.5</oasis:entry>  
         <oasis:entry colname="col7">7.6</oasis:entry>  
         <oasis:entry colname="col8">7.7</oasis:entry>  
         <oasis:entry colname="col9">52.2</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Vulan, <?xmltex \hack{\hfill\break}?>Arkhipo-Osipovka</oasis:entry>  
         <oasis:entry colname="col2">265</oasis:entry>  
         <oasis:entry colname="col3">240</oasis:entry>  
         <oasis:entry colname="col4">1948–2006, <?xmltex \hack{\hfill\break}?>2009–2011</oasis:entry>  
         <oasis:entry colname="col5">5.71/0.36</oasis:entry>  
         <oasis:entry colname="col6">28.5</oasis:entry>  
         <oasis:entry colname="col7">8.3</oasis:entry>  
         <oasis:entry colname="col8">9.5</oasis:entry>  
         <oasis:entry colname="col9">53.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Tuapse, <?xmltex \hack{\hfill\break}?>Tuapse</oasis:entry>  
         <oasis:entry colname="col2">351</oasis:entry>  
         <oasis:entry colname="col3">390</oasis:entry>  
         <oasis:entry colname="col4">1938–1942, <?xmltex \hack{\hfill\break}?>1944, 1945, <?xmltex \hack{\hfill\break}?>1949–1996, <?xmltex \hack{\hfill\break}?>2009–2010</oasis:entry>  
         <oasis:entry colname="col5">13.1/0.30</oasis:entry>  
         <oasis:entry colname="col6">28.3</oasis:entry>  
         <oasis:entry colname="col7">7.0</oasis:entry>  
         <oasis:entry colname="col8">18.0</oasis:entry>  
         <oasis:entry colname="col9">46.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Ashe, Ashe</oasis:entry>  
         <oasis:entry colname="col2">282</oasis:entry>  
         <oasis:entry colname="col3">570</oasis:entry>  
         <oasis:entry colname="col4">1956–1982, <?xmltex \hack{\hfill\break}?>1984–1991</oasis:entry>  
         <oasis:entry colname="col5">14.3/0.29</oasis:entry>  
         <oasis:entry colname="col6">30.5</oasis:entry>  
         <oasis:entry colname="col7">9.3</oasis:entry>  
         <oasis:entry colname="col8">18.9</oasis:entry>  
         <oasis:entry colname="col9">41.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Kuapse, <?xmltex \hack{\hfill\break}?>Mamedov Shchel</oasis:entry>  
         <oasis:entry colname="col2">14.6</oasis:entry>  
         <oasis:entry colname="col3">380</oasis:entry>  
         <oasis:entry colname="col4">1946–1991, <?xmltex \hack{\hfill\break}?>1993, 1994, <?xmltex \hack{\hfill\break}?>1996–2011</oasis:entry>  
         <oasis:entry colname="col5">0.74/0.35</oasis:entry>  
         <oasis:entry colname="col6">31.5</oasis:entry>  
         <oasis:entry colname="col7">9.9</oasis:entry>  
         <oasis:entry colname="col8">16.78</oasis:entry>  
         <oasis:entry colname="col9">41.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Psezuapse, Tatyanovka</oasis:entry>  
         <oasis:entry colname="col2">255</oasis:entry>  
         <oasis:entry colname="col3">760</oasis:entry>  
         <oasis:entry colname="col4">1955–1992</oasis:entry>  
         <oasis:entry colname="col5">14.4/0.20</oasis:entry>  
         <oasis:entry colname="col6">35.0</oasis:entry>  
         <oasis:entry colname="col7">11.2</oasis:entry>  
         <oasis:entry colname="col8">17.9</oasis:entry>  
         <oasis:entry colname="col9">35.9</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Shakhe, <?xmltex \hack{\hfill\break}?>Soloh-aul</oasis:entry>  
         <oasis:entry colname="col2">423</oasis:entry>  
         <oasis:entry colname="col3">1010</oasis:entry>  
         <oasis:entry colname="col4">1926–1991, <?xmltex \hack{\hfill\break}?>1993–1994, <?xmltex \hack{\hfill\break}?>1998–2001, <?xmltex \hack{\hfill\break}?>2003–2011</oasis:entry>  
         <oasis:entry colname="col5">28.4/0.22</oasis:entry>  
         <oasis:entry colname="col6">39.7</oasis:entry>  
         <oasis:entry colname="col7">16.3</oasis:entry>  
         <oasis:entry colname="col8">18.0</oasis:entry>  
         <oasis:entry colname="col9">26.0</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Psiy, Tuh-aul</oasis:entry>  
         <oasis:entry colname="col2">20.4</oasis:entry>  
         <oasis:entry colname="col3">700</oasis:entry>  
         <oasis:entry colname="col4">1946–1988</oasis:entry>  
         <oasis:entry colname="col5">1.20/0.20</oasis:entry>  
         <oasis:entry colname="col6">34.6</oasis:entry>  
         <oasis:entry colname="col7">12.4</oasis:entry>  
         <oasis:entry colname="col8">17.6</oasis:entry>  
         <oasis:entry colname="col9">35.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">West Dagomys,<?xmltex \hack{\hfill\break}?>Dagomys</oasis:entry>  
         <oasis:entry colname="col2">49.0</oasis:entry>  
         <oasis:entry colname="col3">–</oasis:entry>  
         <oasis:entry colname="col4">1974–1994,<?xmltex \hack{\hfill\break}?>1996–2003, <?xmltex \hack{\hfill\break}?>2004–2011</oasis:entry>  
         <oasis:entry colname="col5">2.43/0.27</oasis:entry>  
         <oasis:entry colname="col6">29.5</oasis:entry>  
         <oasis:entry colname="col7">10.2</oasis:entry>  
         <oasis:entry colname="col8">22.0</oasis:entry>  
         <oasis:entry colname="col9">38.3</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sochi, Plastunka</oasis:entry>  
         <oasis:entry colname="col2">238</oasis:entry>  
         <oasis:entry colname="col3">840</oasis:entry>  
         <oasis:entry colname="col4">1927–2011</oasis:entry>  
         <oasis:entry colname="col5">15.2/0.22</oasis:entry>  
         <oasis:entry colname="col6">38.2</oasis:entry>  
         <oasis:entry colname="col7">15.6</oasis:entry>  
         <oasis:entry colname="col8">18.8</oasis:entry>  
         <oasis:entry colname="col9">27.4</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sochi, Sochi</oasis:entry>  
         <oasis:entry colname="col2">296</oasis:entry>  
         <oasis:entry colname="col3">720</oasis:entry>  
         <oasis:entry colname="col4">1945–2012</oasis:entry>  
         <oasis:entry colname="col5">16.5/0.21</oasis:entry>  
         <oasis:entry colname="col6">37.1</oasis:entry>  
         <oasis:entry colname="col7">14.4</oasis:entry>  
         <oasis:entry colname="col8">18.8</oasis:entry>  
         <oasis:entry colname="col9">29.7</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Khosta, Khosta</oasis:entry>  
         <oasis:entry colname="col2">98.5</oasis:entry>  
         <oasis:entry colname="col3">480</oasis:entry>  
         <oasis:entry colname="col4">1927–1994, <?xmltex \hack{\hfill\break}?>1997–2011</oasis:entry>  
         <oasis:entry colname="col5">5.06/0.20</oasis:entry>  
         <oasis:entry colname="col6">31.2</oasis:entry>  
         <oasis:entry colname="col7">14.4</oasis:entry>  
         <oasis:entry colname="col8">19.8</oasis:entry>  
         <oasis:entry colname="col9">34.6</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mzymta, <?xmltex \hack{\hfill\break}?>Krasnaya Polyana</oasis:entry>  
         <oasis:entry colname="col2">510</oasis:entry>  
         <oasis:entry colname="col3">1670</oasis:entry>  
         <oasis:entry colname="col4">1945–1994, <?xmltex \hack{\hfill\break}?>1996–2002, <?xmltex \hack{\hfill\break}?>2010–2012</oasis:entry>  
         <oasis:entry colname="col5">34.5/0.16</oasis:entry>  
         <oasis:entry colname="col6">36.9</oasis:entry>  
         <oasis:entry colname="col7">33.7</oasis:entry>  
         <oasis:entry colname="col8">16.6</oasis:entry>  
         <oasis:entry colname="col9">12.8</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mzymta, <?xmltex \hack{\hfill\break}?>Kazachiy Brod</oasis:entry>  
         <oasis:entry colname="col2">839</oasis:entry>  
         <oasis:entry colname="col3">1340</oasis:entry>  
         <oasis:entry colname="col4">1967–2012</oasis:entry>  
         <oasis:entry colname="col5">54.5/0.18</oasis:entry>  
         <oasis:entry colname="col6">36.4</oasis:entry>  
         <oasis:entry colname="col7">26.4</oasis:entry>  
         <oasis:entry colname="col8">18.7</oasis:entry>  
         <oasis:entry colname="col9">18.5</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> Data at some stations extended to longer period of
observations;<?xmltex \hack{\newline}?>
<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> corrected for a negative shift.</p></table-wrap-foot></table-wrap>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p>Maximum water discharges of the rivers of the Black Sea coast.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.9}[.9]?><oasis:tgroup cols="9">
     <oasis:colspec colnum="1" colname="col1" align="justify" colwidth="92pt"/>
     <oasis:colspec colnum="2" colname="col2" align="justify" colwidth="113pt" colsep="1"/>
     <oasis:colspec colnum="3" colname="col3" align="justify" colwidth="27pt" colsep="1"/>
     <oasis:colspec colnum="4" colname="col4" align="justify" colwidth="48pt" colsep="1"/>
     <oasis:colspec colnum="5" colname="col5" align="justify" colwidth="63pt" colsep="1"/>
     <oasis:colspec colnum="6" colname="col6" align="justify" colwidth="18pt" colsep="1"/>
     <oasis:colspec colnum="7" colname="col7" align="justify" colwidth="18pt" colsep="1"/>
     <oasis:colspec colnum="8" colname="col8" align="justify" colwidth="18pt" colsep="1"/>
     <oasis:colspec colnum="9" colname="col9" align="justify" colwidth="18pt"/>
     <oasis:thead>
       <oasis:row>  
         <oasis:entry colname="col1">River, gauging station</oasis:entry>  
         <oasis:entry colname="col2">The period of observation</oasis:entry>  
         <oasis:entry namest="col3" nameend="col5" align="center" colsep="1">Peak water discharge (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry namest="col6" nameend="col9" align="center" colsep="0">Water discharges, m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, </oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry rowsep="1" namest="col3" nameend="col5" align="center" colsep="1"/>  
         <oasis:entry rowsep="1" namest="col6" nameend="col9" align="center" colsep="0">and their probability<inline-formula><mml:math display="inline"><mml:msub><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msub></mml:math></inline-formula></oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">  
         <oasis:entry colname="col1"/>  
         <oasis:entry colname="col2"/>  
         <oasis:entry colname="col3">Medium <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col4">Coefficient of<?xmltex \hack{\hfill\break}?>variation<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col5">Max. <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula></oasis:entry>  
         <oasis:entry colname="col6">1 %</oasis:entry>  
         <oasis:entry colname="col7">2 %</oasis:entry>  
         <oasis:entry colname="col8">5 %</oasis:entry>  
         <oasis:entry colname="col9">10 %</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>  
         <oasis:entry colname="col1">Gostagayka, <?xmltex \hack{\hfill\break}?>Gostagaevskaya</oasis:entry>  
         <oasis:entry colname="col2">1949–2000, <?xmltex \hack{\hfill\break}?>2009–2011</oasis:entry>  
         <oasis:entry colname="col3">12.9</oasis:entry>  
         <oasis:entry colname="col4">0.84</oasis:entry>  
         <oasis:entry colname="col5">43.8/1966</oasis:entry>  
         <oasis:entry colname="col6">53</oasis:entry>  
         <oasis:entry colname="col7">44</oasis:entry>  
         <oasis:entry colname="col8">34</oasis:entry>  
         <oasis:entry colname="col9">27</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Dyurso, <?xmltex \hack{\hfill\break}?>Abrau-Dyurso</oasis:entry>  
         <oasis:entry colname="col2">1948–1976</oasis:entry>  
         <oasis:entry colname="col3">16.5</oasis:entry>  
         <oasis:entry colname="col4">0.65</oasis:entry>  
         <oasis:entry colname="col5">38.3/1967</oasis:entry>  
         <oasis:entry colname="col6">49</oasis:entry>  
         <oasis:entry colname="col7">44</oasis:entry>  
         <oasis:entry colname="col8">37</oasis:entry>  
         <oasis:entry colname="col9">31</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Aderba, Sveltyi</oasis:entry>  
         <oasis:entry colname="col2">1966–1993, 1996–1997</oasis:entry>  
         <oasis:entry colname="col3">63.1</oasis:entry>  
         <oasis:entry colname="col4">0.82</oasis:entry>  
         <oasis:entry colname="col5">178/1981</oasis:entry>  
         <oasis:entry colname="col6">240</oasis:entry>  
         <oasis:entry colname="col7">207</oasis:entry>  
         <oasis:entry colname="col8">165</oasis:entry>  
         <oasis:entry colname="col9">130</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Vulan, <?xmltex \hack{\hfill\break}?>Arkhipo-Osipovka</oasis:entry>  
         <oasis:entry colname="col2">1948–2006, <?xmltex \hack{\hfill\break}?>2009–2011</oasis:entry>  
         <oasis:entry colname="col3">367</oasis:entry>  
         <oasis:entry colname="col4">0.50</oasis:entry>  
         <oasis:entry colname="col5">1050/1980</oasis:entry>  
         <oasis:entry colname="col6">1030</oasis:entry>  
         <oasis:entry colname="col7">870</oasis:entry>  
         <oasis:entry colname="col8">700</oasis:entry>  
         <oasis:entry colname="col9">580</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Tuapse, <?xmltex \hack{\hfill\break}?>Tuapse</oasis:entry>  
         <oasis:entry colname="col2">1938–1942, 1944, 1945, <?xmltex \hack{\hfill\break}?>1949–1996, 2009–2010</oasis:entry>  
         <oasis:entry colname="col3">450</oasis:entry>  
         <oasis:entry colname="col4">0.90</oasis:entry>  
         <oasis:entry colname="col5">2300/1991</oasis:entry>  
         <oasis:entry colname="col6">2330</oasis:entry>  
         <oasis:entry colname="col7">1790</oasis:entry>  
         <oasis:entry colname="col8">1100</oasis:entry>  
         <oasis:entry colname="col9">660</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Ashe, Ashe</oasis:entry>  
         <oasis:entry colname="col2">1956–1982, <?xmltex \hack{\hfill\break}?>1984–1991</oasis:entry>  
         <oasis:entry colname="col3">325</oasis:entry>  
         <oasis:entry colname="col4">0.72</oasis:entry>  
         <oasis:entry colname="col5">1435/1991</oasis:entry>  
         <oasis:entry colname="col6">1340</oasis:entry>  
         <oasis:entry colname="col7">1070</oasis:entry>  
         <oasis:entry colname="col8">750</oasis:entry>  
         <oasis:entry colname="col9">535</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Kuapse, <?xmltex \hack{\hfill\break}?>Mamedov Shchel</oasis:entry>  
         <oasis:entry colname="col2">1946–1991, 1993, <?xmltex \hack{\hfill\break}?>1994, 1996–2011</oasis:entry>  
         <oasis:entry colname="col3">34.1</oasis:entry>  
         <oasis:entry colname="col4">0.62</oasis:entry>  
         <oasis:entry colname="col5">115/1991</oasis:entry>  
         <oasis:entry colname="col6">125</oasis:entry>  
         <oasis:entry colname="col7">105</oasis:entry>  
         <oasis:entry colname="col8">81</oasis:entry>  
         <oasis:entry colname="col9">63</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Psezuapse, Tatyanovka</oasis:entry>  
         <oasis:entry colname="col2">1955–1992</oasis:entry>  
         <oasis:entry colname="col3">320</oasis:entry>  
         <oasis:entry colname="col4">0.59</oasis:entry>  
         <oasis:entry colname="col5">1200/1991</oasis:entry>  
         <oasis:entry colname="col6">1010</oasis:entry>  
         <oasis:entry colname="col7">830</oasis:entry>  
         <oasis:entry colname="col8">645</oasis:entry>  
         <oasis:entry colname="col9">525</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Shakhe, <?xmltex \hack{\hfill\break}?>Soloh-aul</oasis:entry>  
         <oasis:entry colname="col2">1926–1991, <?xmltex \hack{\hfill\break}?>1993–1994, <?xmltex \hack{\hfill\break}?>1998–2001, 2003–2011</oasis:entry>  
         <oasis:entry colname="col3">275</oasis:entry>  
         <oasis:entry colname="col4">0.50</oasis:entry>  
         <oasis:entry colname="col5">938/1982</oasis:entry>  
         <oasis:entry colname="col6">905</oasis:entry>  
         <oasis:entry colname="col7">750</oasis:entry>  
         <oasis:entry colname="col8">555</oasis:entry>  
         <oasis:entry colname="col9">435</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Psiy, Tuh-aul</oasis:entry>  
         <oasis:entry colname="col2">1946–1988</oasis:entry>  
         <oasis:entry colname="col3">28.3</oasis:entry>  
         <oasis:entry colname="col4">0.62</oasis:entry>  
         <oasis:entry colname="col5">88.7/1956</oasis:entry>  
         <oasis:entry colname="col6">93</oasis:entry>  
         <oasis:entry colname="col7">80</oasis:entry>  
         <oasis:entry colname="col8">62</oasis:entry>  
         <oasis:entry colname="col9">49</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">West Dagomys,<?xmltex \hack{\hfill\break}?>Dagomys</oasis:entry>  
         <oasis:entry colname="col2">1974–1994, 1996–2003, <?xmltex \hack{\hfill\break}?>2004–2011</oasis:entry>  
         <oasis:entry colname="col3">140</oasis:entry>  
         <oasis:entry colname="col4">0.79</oasis:entry>  
         <oasis:entry colname="col5">511/1997</oasis:entry>  
         <oasis:entry colname="col6">565</oasis:entry>  
         <oasis:entry colname="col7">480</oasis:entry>  
         <oasis:entry colname="col8">355</oasis:entry>  
         <oasis:entry colname="col9">265</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sochi, Plastunka</oasis:entry>  
         <oasis:entry colname="col2">1927–2011</oasis:entry>  
         <oasis:entry colname="col3">282</oasis:entry>  
         <oasis:entry colname="col4">0.45</oasis:entry>  
         <oasis:entry colname="col5">719/1997</oasis:entry>  
         <oasis:entry colname="col6">715</oasis:entry>  
         <oasis:entry colname="col7">625</oasis:entry>  
         <oasis:entry colname="col8">515</oasis:entry>  
         <oasis:entry colname="col9">440</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Sochi, Sochi</oasis:entry>  
         <oasis:entry colname="col2">1945–2012</oasis:entry>  
         <oasis:entry colname="col3">355</oasis:entry>  
         <oasis:entry colname="col4">0.50</oasis:entry>  
         <oasis:entry colname="col5">990/1997</oasis:entry>  
         <oasis:entry colname="col6">975</oasis:entry>  
         <oasis:entry colname="col7">860</oasis:entry>  
         <oasis:entry colname="col8">710</oasis:entry>  
         <oasis:entry colname="col9">590</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Khosta, Khosta</oasis:entry>  
         <oasis:entry colname="col2">1927–1994, 1997–2011</oasis:entry>  
         <oasis:entry colname="col3">175</oasis:entry>  
         <oasis:entry colname="col4">0.51</oasis:entry>  
         <oasis:entry colname="col5">458/2002</oasis:entry>  
         <oasis:entry colname="col6">485</oasis:entry>  
         <oasis:entry colname="col7">420</oasis:entry>  
         <oasis:entry colname="col8">345</oasis:entry>  
         <oasis:entry colname="col9">287</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mzymta, <?xmltex \hack{\hfill\break}?>Krasnaya Polyana</oasis:entry>  
         <oasis:entry colname="col2">1945–1994, 1996–2002, 2010–2012</oasis:entry>  
         <oasis:entry colname="col3">176</oasis:entry>  
         <oasis:entry colname="col4">0.34</oasis:entry>  
         <oasis:entry colname="col5">360/1997</oasis:entry>  
         <oasis:entry colname="col6">365</oasis:entry>  
         <oasis:entry colname="col7">330</oasis:entry>  
         <oasis:entry colname="col8">287</oasis:entry>  
         <oasis:entry colname="col9">253</oasis:entry>
       </oasis:row>
       <oasis:row>  
         <oasis:entry colname="col1">Mzymta, <?xmltex \hack{\hfill\break}?>Kazachiy Brod</oasis:entry>  
         <oasis:entry colname="col2">1967–2012</oasis:entry>  
         <oasis:entry colname="col3">360</oasis:entry>  
         <oasis:entry colname="col4">0.38</oasis:entry>  
         <oasis:entry colname="col5">730/2003</oasis:entry>  
         <oasis:entry colname="col6">800</oasis:entry>  
         <oasis:entry colname="col7">720</oasis:entry>  
         <oasis:entry colname="col8">615</oasis:entry>  
         <oasis:entry colname="col9">535</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table><table-wrap-foot><p><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">1</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> corrected for a negative shift; <?xmltex \hack{\newline}?><inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>(</mml:mo><mml:mn mathvariant="normal">2</mml:mn><mml:mo>)</mml:mo></mml:mrow></mml:msup></mml:math></inline-formula> based on
probabilities distribution by Kritsky-Menkel and Pearson of type III.</p></table-wrap-foot></table-wrap>

</sec>
<sec id="Ch1.S2">
  <title>Study area</title>
      <p>The Black Sea coast of the Krasnodar territory of the Russian Federation
includes the Temryuk and Tuapse administrative areas (districts), and the
cities of Novorossiysk, Anapa, Gelendzhik and Sochi (Fig. 1). These cities
also are the main administrative districts by their area, proportion of the
developed and undeveloped territories. The total area of the coast is nearly
8015 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>. As a relatively narrow strip of land (its average width is 23 km)
the coast extends over 350 km (from the Kerch Strait to the Psou
River). The land border of the Black Sea coast coincides with the watershed
line between the basins of the Azov and Black seas.</p>
      <p>The coastal terrain is well developed. Over 1.1 million people live here
constantly. About 90 % of the resident population is concentrated in a
narrow strip with a width from 0.5 to 8 km and 80 % live in cities and
urban settlements (Magritsky et al., 2013a; Data of Federal State Statistics
Service in Krasnodar region). Big cities are Anapa, Novorossiysk, Gelendzhik,
Tuapse, Sochi and Adler. It is the largest recreational region of Russia and
a fast-developing cluster of various sports (in 2014 the XXIIth Olympic
winter games took place in Sochi), as well as a large new business and cultural
centre. The number of tourists per year in the region is about 7 million
(Berlin and Petrov, 2015); most of the tourist industry is concentrated in
the municipal districts along the sea coast.</p>
      <p>This region is an important agricultural area of Russia, with a large centre
of petroleum refining, production of building materials, transfer of dry and
liquid goods and transportation of natural gas and oil products. The important seaports of Gelezny Rog, Novorossiysk and Tuapse are also here.</p>
      <p>The Black Sea coast is not homogeneous by its constitution, composition and
environment (Panov et al., 2012; Sergin et al., 2001; Resourses, 1969). These distinctions
define the specificity of the dangerous natural phenomena in the coastal
areas by their kind and hierarchy, and by their impact regarding their
development in terms of real or potential damages. A contrasting topographical relief
and geological constitution, the irregular distribution of atmospheric
precipitation mainly creates their heterogeneity. Under hydrological aspects,
the Black Sea coast is an isolated basin structured by numerous basins of
small rivers. From the Krasnodar territory, 252 watercourses flow into the Black
Sea; only 16 % have a length of more than 10 km (Resources, 1969). Only
three rivers (the Shakhe, Mzymta and Psou) have a length of more than 50 km
and a drainage area above 400 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Fig. 1). The drainage density
increases in the southeast direction – from 0.3–0.5 (and less) to 1 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">2</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>.
A large water slope characterizes almost all the streams. On
separate reaches, they look like mountain streams with waterfalls. The
floodplain is intermittent and narrow, and usually not developed in the upper
reaches and in gorges. On the seaside part, numerous alluvial cones occupy
the bottom of river valleys.</p>
      <p>Total water resources of the rivers of the Black Sea coast are 7.0–7.5 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> yr<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>,
or about 2 % of the total river flow into the Black Sea.
The total amount of runoff increases both in a southeast direction, and with
the altitude of the river basins. Interannual variability of mean annual
runoff, as well as maximum runoff, on the contrary decreases in the southern
direction and with increasing area of a river basin (Tables 1 and 2).
Reductions of runoff due to economic activities are largest on the rivers of
the cities of Anapa and Novorossiysk, i.e. in arid and foothill watersheds.
Within these terrains, there are many ponds intercepting a part of river
water, and agricultural areas demanding an artificial irrigation. Significant
water use practices take place also in the basin of the river Mzymta, mainly
hydroelectric engineering, and agricultural, industrial and municipal water
consumption. The majority of settlements from Novorossiysk to Sochi are
supplied with water, pumped from the thick alluvial depositions under the
river channels.</p>
      <p>Extensive and sometimes extreme precipitation dominates the river flow
regimes. Therefore, maximum water levels and discharges can be observed in
any month of a year. To the north from the Tuapse, river floods prevail from
November until March (to 70 %). They result from precipitation and winter
snowmelt during frequent thaw periods. High waters in the cold season of the
year often overlap with each other, forming a multipeak high water with 2–3
weeks in duration. In the summer and in early autumn a steady low flow is
observed (Fig. 1). During this period, even rather large rivers can dry up on
separate reaches for several days and even several months. Occasionally the
low flow is interrupted by high waters caused by heavy rain. In total,
10–13 flood waves per year happen on average. The annual flow cycle mainly
determines the inter-seasonal distribution of water flow; for winter and
spring, we find about 82–86 % of annual runoff, and at the Tuapse
River – 75 % (Table 1, Fig. 1).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p>Hydrology of the Black Sea
coast of the Krasnodar territory of the Russian Federation and the water regime of the rivers.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f01.png"/>

      </fig>

      <p>The high waters of the rivers of the Sochi district are typical at any time
of the year, but more often floods in the cold season result from incessant
rain and thawing snow. The river basins of the Shakhe, Sochi and Psou,
which have significant areas and altitudes, demonstrate a similarity of
spring high water; but only the Mzymta River has a well-distinguished
spring-and-summer high water – from March until August (Fig. 1). It is
formed by the melting of the seasonal snow cover, the permanent high-mountain
snow cover and of snow-patches, glaciers and rain. The duration of the low
flow period is shorter compared to the rivers to the north of the Tuapse
River, and in general, the river discharges are higher in this period because
they are frequently interrupted by floods. Annually up to 25 floods have been
observed (on the average 16–20). Moving from the northern to the southern
borders of the Sochi part of the coast (Table 1) the percentage of the
winter–spring season river flow decreases from 75 to 55–65 %.</p>
      <p>Floods are typical also for small, in fact, temporary water streams
in very narrow valleys (the local people named them “clefts”). Their surface flow only rises in the season of
rainfall and (or) snowmelt. Absence of water in the channels of such
riverbeds during the main part of the year generates the deceptive opinion
about hydrological safety at the bottom of their valleys. Therefore, adverse
consequences of inundations here quite often acquire the features of
catastrophic events.</p>
</sec>
<sec id="Ch1.S3">
  <title>Hydrological data and methods of research</title>
      <p>Long-term observation data at 24 hydrological gauging stations of the Federal
Hydrometeorology and Environmental Monitoring Service (Table 1) form the data
basis for our research. Firstly, the data are presented as average (diurnal,
10-day diurnal, monthly and annual) water levels and water discharges. Data about momentary maximum,
minimum water discharges and water levels are also included in this database. Secondly, numerous documentary data on inundations
are collected. These data are part of information from the electronic
database, Inundations in the river mouths of the European part of Russia,
described in Alexeevsky et al. (2013) which is available on the website of the Natural
Risk Assessment Laboratory (NRAL) of Moscow State University (<uri>http://www.nral.org</uri>). Thirdly, we used critical marks of the height of
water levels which, when exceeded, lead to flooding of floodplains
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">floodplain</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>), to unfavourable (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">UP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) and dangerous
(<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">DP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>) effects for the population and economic activities. They
have unique values at each separate reach of a river channels. Fourthly, we
took into account daily precipitation data at six meteorological stations
(Sochi, Krasnaya Polyana, Tuapse, Dzhubga, Gelendzhik and Anapa) for the
period 1945–2013, and used regional criteria of the level of intensity and
potential danger of precipitation. According to these criteria
(<uri>http://www.yugmeteo.donpac.ru/oj.jsp</uri>), rainfall in the Tuapse and
Sochi districts with an intensity of not less than 50 mm (during no more
than 1 h) are considered as heavy. Rainfall levels of not less than 80 mm (during
no more than 12 h) on the part of the coast from Anapa to the settlement
Dzhubga, 100 mm for the Tuapse district and 120 mm for Sochi are considered
as very heavy. In mountain areas, the lower limit of very heavy rainfall
values is reduced to 50 mm (Tuapse district) and 80 mm (Sochi).</p>
      <p>Additionally we used the following:
<list list-type="order"><list-item>
      <p>field data collected by the research projects of the Geographical Faculty
of Moscow State University (the authors of the present paper) from 2011 to 2014;</p></list-item><list-item>
      <p>the data of continuous monitoring (time interval of 1–10 min) of
water level at 53 gauges of the automated system of water level monitoring of
the flood control system on the rivers of the Krasnodar territory since 2012
(<uri>http://test.emercit.com/overall.html</uri>);</p></list-item><list-item>
      <p>actual and archived data of various
departments and organizations, large-scale maps and charts and data from
Internet sources.</p></list-item></list>
These data confirm past inundations at the Black Sea coast of the Russian
Federation. We compared the documented events of inundations to maximum water
levels (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>) and peak discharges (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>) at the gauges with
critical high-rise marks – <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">floodplain</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">UP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>,
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mi mathvariant="normal">DP</mml:mi></mml:msub></mml:mrow></mml:math></inline-formula>, together with daily totals of precipitation at
meteorological stations. The critical values (or ranges of values) for these
hydrometeorological characteristics have been defined. Based on these
results and long-term series (for the period 1945–2013) of
hydrometeorological characteristics, all probable cases of river inundations
in the past have been determined. The new documented events, which have not
been used in research before, have confirmed the applicability of this
method.</p>
      <p>Part of the statistical analysis (verification of significance of linear
trends using parametric and nonparametric tests for the significance level
<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">α</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> %, the spectral analysis of the data time series, studying the
regression relationship between the magnitude of the inundation and the
scale of material damage, etc.) has been performed with the programme
STATISTICA 10 (company StatSoft).</p>
      <p>The collected materials and their analysis have first allowed inundations on the
Black Sea coast of the Krasnodar territory to be classified by their causes,
and, second, the territory under consideration and its rivers, as well as
the existing (in Russia) classifications of inundations by magnitude and
after-effects, to be adapted for.</p>
</sec>
<sec id="Ch1.S4">
  <title>Inundations and their types</title>
      <p>Inundation in the Russian Federation is perceived as flooding by water of an
area adjoining the river or a water body, which leads to material damage,
loss of health of the population or to loss of human lives (Nezhihovsky,
1988). More expanded and with an ecological component of the interpretation
of this concept, Dobrovolsky and Istomina (2006) suggest the following: “inundation is a
temporary flooding of terrain developed by the human for various purposes,
generating negative consequences of social and economic and ecological
character expressed in a material and non-material damage”. On the
contrary, flooding by water of undeveloped terrains, not accompanied by
damage, is considered as the natural hydrological process accompanying one
of the standard phases of a water regime of a river – spring high water or
a flood. It is not considered as inundation.</p>
      <p>Taking the formation processes and following the new classification, stated
by Alexeevsky and Magritsky (2013), at the coast there are some types of
inundations. River-flow inundations dominate. At the coast they are generated
by high rainfall floods (i.e. during peak discharges and without backwater
effect), which sometimes are transformed into mudflow type. More
infrequently, they are induced by an intensive snowmelt in the drainage
basins (including the contribution of rain), breakages of dams of ponds and
glacial lakes. The floodplains of river valleys and river mouths with
alluvial cones are also subject to flooding by river waters.</p>
      <p>Inundations of river flow and rainfall origin (mixed type no. 1) are next
in order of their occurrence. In general, purely rainfall inundations, which also are
frequent at the coast, are caused by heavy rainfall over the developed areas
and by the inability of the terrain to quickly absorb or drain rainwater
into surface and underground water bodies. The magnitude of rainfall
inundations increases if storm drains function badly; therefore in their most
obvious and dangerous form, they happen in settlements, and their frequency
increases with the increase of the area of the urbanized terrains. That is
why they are also named urban inundations. In the basins of mountain and
foothill rivers, heavy rainfall first leads to rapidly developing flooding
by powerful overland streams formed by rainfall waters and by waters of
“revived” temporary watercourses. Secondly, rainfall induces high and
fast-moving river floods, which are accompanied by river-flow inundations
within the same settlements. The same cause and synchronization of these
inundations, the difficulties in division zones, flooding by river and
rainfall waters and the corresponding damages, as well as lack of data, do
not allow these events to be considered separately. They are named inundations of
mixed type no. 1. These inundations not only affect floodplains, but also
river terraces and sides of the river valley.</p>
      <p>The next type of inundations are the inundations due to storm surges and
wind-wave collapse. If flood in a river coincides with a storm surge at the
coast, i.e. in conditions of a back-water effect from a sea, inundations of
mixed type no. 2 occur. These inundations are possible in river mouths at the
coast. They are part of a group of coastal inundations.</p>
      <p>Other types of inundations (due to ice-jam formations or tsunami) only represent
a potentially small danger to the city of Anapa (Magritsky et al.,
2013a, b).</p>
      <p>Inundations of one generic type differ by their characteristics (frequency,
the area of flooding and the number of the river basins affected by inflow,
height and duration of flooding, etc.), and also by size and structure of
social and economic damage. The authors do not consider elaborating new
approaches concerning such a differentiation. Classifications already existing in
Russia (Dobrovolsky and Istomina, 2006; Dobroumov and Tumanovsky, 2002;
Malik, 2003; Nezhihovsky, 1988; Taratutin et al., 2011) have been used,
including those used by the Ministry of Civil Defence and Emergency
Situations of the Russian Federation. Accordingly, the river-flow inundations
and inundations of the mixed type no. 1 at the Black Sea coast of the Krasnodar
territory – the subject of this study – can be divided into small (I),
moderately dangerous (II), big (III), catastrophic (IV) and exceptional (V).
This classification is based on various qualitative and quantitative
criteria. The most important are the frequency of floods, the value of the
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>H</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> excess over critical high-rise marks, the area of terrain and the
number of the settlements (or basins) covered by the influence of
inundations, the amount of direct material damage (as a rule at an
approximate assessment) and the threat to lives. Among other criteria, we
considered the following: (1) the character of direct damage to industrial objects and road
infrastructure and residential buildings, (2) the area and structure of flooding
of the developed terrain, (3) the degree of infringement of way of life and
industrial activity of people, (4) the necessity of evacuation of people and
(5) the deterioration of ecological conditions. Unfortunately, as is often
the case, comparable data are not available for all the events. In general,
for a separately considered river on the Black Sea coast, the big inundations occur
with a frequency <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> with an average of 4–5 %, catastrophic events
and exceptional ones &lt; 2–2.5 % and &lt; 1 %
respectively.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p>Different examples of synoptic processes: <bold>(a)</bold> typical Mediterranean
cyclone (marked with the L symbol) and an Atlantic anticyclone (marked
with the H symbol) on a bottom pressure analysis map; <bold>(b)</bold> the mesocyclone
which caused catastrophic inundations in Krymsk in July 2012 (NOAA/Goddard Space Center – NASA EOSDIS LANCE-MODIS:
<uri>http://lance-modis.eosdis.nasa.gov/imagery/</uri>).</p></caption>
        <?xmltex \igopts{width=398.338583pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f02.png"/>

      </fig>

</sec>
<sec id="Ch1.S5">
  <title>Synoptic conditions of the formation of high floods</title>
      <p>High floods leading to river-flow inundations, and also flooding by rainfall
waters and by overland streams, are formed by the availability of large
volumes of water in form of abundant and steady precipitation, by storm rain
and, as a special case, as a result of the destruction of waterspouts over
the land. Most catastrophic inundations are a consequence of mesoscale
atmospheric processes arising in typical synoptic conditions that form
especially powerful overcast. For the Black Sea coast of the Krasnodar
territory, the formation of abnormal precipitation results from the
topographical relief forcing the air upward and, hence, the process of cloud
formation and precipitation.</p>
      <p>To analyse the dynamics of the atmospheric circulation one can use
circulation indices. Among the most well-known are the North Atlantic Oscillation (NAO) index, the
East Atlantic/West Russia (EA/WR index) and the Scandinavian pattern (SCAND index). These
indices are useful in the analysis of large-scale circulation pattern using
results from numerical modelling. For a detailed analysis of the synoptic
situation, these indexes are often not representative. We find it more
appropriate to use the classic synoptic classifications, based on a detailed
description of synoptic processes of the study area. In Russia, one of the
most popular is Dzerdzeevsky's classification (Dzerdzeevsky, 1975; Kononova,
2012). It uses the concept of “elementary circulation mechanisms”, and all
synoptic processes combine the four basic types: one-zonal circulation, two-zonal
and meridional circulation, three-meridional north, four-meridional south. All
synoptic processes can be attributed to one of these groups. We use this
approach in this study for the detection of the synoptic processes causing
strong flooding. We therefore consider these synoptic circulation patterns to
cause floods on the Black Sea coast.</p>
      <p>Mediterranean cyclones generated at the polar front advect abundant rainfall.
The greatest recurrence and intensity of these processes is observed from
October until March. However, in summer months these processes are also not
infrequent. Cyclones bring intensive precipitation to the Black Sea coast
with a high moisture content of wet tropical air, formed over the
Mediterranean Sea. During wintertime, these cyclones advect not only abundant
precipitation in the form of rain and snow, but also a heatwave, causing
intensive snowmelt and thus formation of floods of mixed-type origin. This
happened for example on 13 March 2013 in the south of Sochi. In the summer,
cyclogenesis over the Mediterranean Sea becomes more active in conditions of
large-scale northeasterly flow in the lower and central troposphere. Colder
air moves over warm seawater areas and interacts with tropical air masses
formed over North Africa. These conditions are very favourable for the
formation of an explosive cyclogenesis over the Mediterranean Sea. Similar
schemes of circulation are realized in various conditions of the large-scale
atmospheric circulation.</p>
      <p>Firstly, there are abnormal northern locations of the Azores anticyclone. In
recent years, the Azores anticyclone location has moved 1000–1500 km to the north
of its normal climatic position. In such a situation over the Mediterranean
Sea, from the Iberian Peninsula to the Balkans, strong cyclogenesis (Fig. 2)
becomes active. Small in size, but active, cyclones move from the west to the
east. Some enter the terrain of Turkey, but some move through the Black
Sea to the Krasnodar and Stavropol territories, the Rostov region and the
mid-Volga region.</p>
      <p>Secondly, owing to the formation of a warm blocking anticyclone over Eastern
Europe (over the water area of the Mediterranean Sea), northeasterly winds are
formed. A distinctive feature of this synoptic process is stopping the
Mediterranean cyclone over the Black Sea, because the inactive area of high
atmospheric pressure blocks the cyclone path to the north or the northeast.
Catastrophic inundations were caused by such a cyclone on 6–7 July 2012 in
Gelendzhik, Novorossiysk and the Krymsk district of the Krasnodar territory
(Fig. 2).</p>
      <p>Thirdly, the polar front zone activation, with its axis at about
40<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mo>∘</mml:mo></mml:msup></mml:math></inline-formula> N latitude, leads to intensification of cyclogenesis over the
Mediterranean. It is often observed in the autumn, when the active
frontogenesis combined with high sea surface temperature. During the transit
of cold atmospheric fronts of extensive Atlantic cyclones settling down over
Eastern Europe or from accompanying quickly displaced deepening cyclones from
the northwest, from Scandinavia, abundant precipitation falls. Forced
convection in a frontal region in combination with an orographic rise of warm
and humid air forms powerful cumulonimbus rain clouds and, hence, strong
downpours, thunderstorms and tornadoes. Such conditions led to inundations on
22 August 2012 in the Tuapse district.</p>
      <p>In all above events, formation of so-called polar mesocyclones over the Black
Sea waters was apparent – the axisymmetric vortex resembling tropical
hurricanes. Since the first time this phenomenon was noticed in high
latitudes, it has been called a “polar low” (Markowsky and Richardson, 2002;
Rasmussen and Turner, 2003). However, these cyclones are also often generated
over the Mediterranean and the Black Sea. A polar low is a small, but fairly
intense maritime cyclone that forms poleward of the main baroclinic zone (the
polar front or other major baroclinic zone) (Rasmussen and Turner, 2003). The
horizontal scale of the polar low is approximately between 100 and 1000 km.
At least a dozen different length-scale limits for the mesoscale have been
defined since Ligda's article. According to this paper (Ligda, 1951), the
first radar-detected precipitation area was a thunderstorm observed using a
10 cm radar in England on 20 February 1941. Organized atmospheric science
research using radars was delayed until after World War II due to the
importance of the relatively new technology to military interests and the
secrecy surrounding radar development. The most popular definitions are those
proposed by Orlanski (1975) and Fujita (1981). Orlanski
defined the mesoscale as ranging from 2 to 2000 km, with subclassifications
of meso-<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula>, meso-<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> and meso-<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">γ</mml:mi></mml:math></inline-formula> scales referring to
horizontal scales of 200–2000, 20–200 and 2–20 km, respectively.
Fujita (1981) proposed a much narrower range of length scales in his
definition of the mesoscale, where the mesoscale ranged from 4 to 400 km,
with sub-classifications of meso-<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">α</mml:mi></mml:math></inline-formula> and meso-<inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">β</mml:mi></mml:math></inline-formula> scales referring
to horizontal scales of 40–400 and 4–40 km, respectively. According to
these two classifications, a polar low is a phenomenon of subsynoptic scale
(the horizontal-scale synoptic processes of more than 1000 km, and the same
mesoscale processes of less than 100 km) (Markowsky and Richardson, 2002).
The above definition can be extended, if necessary, by specifying the
dominant physical mechanism responsible for the development of the low, such
as, for example a “baroclinic polar low” or a “convective polar low”, the
latter being driven primarily by organized convection (Rasmussen and Turner,
2003). A striking example is the weather condition prior to the flooding in
Krymsk and Gelendzhik on 6 July 2012. The daily sum of precipitation was
150 mm in Krymsk (27 % of the annual norm), and 255 mm in Gelendzhik
(36 % annual norm) (Arkhipkin et al., 2013).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3"><caption><p>The fluctuations of water level of the Vulan River: at the gauging
station of Tekos at 13 km upstream of the river mouth <bold>(a)</bold>, at gauging
station Arkhipo-Osipovka in a river mouth <bold>(b)</bold> and the diagram of the amount
of daily rainfall from 3 to 4 August 2013 <bold>(c)</bold>. Symbols: (1) – rainfall at
meteorological station Gelendzhik, (2) – rainfall at meteorological station
Dzhubga. Levels are relative to gauge-datum. The velocity of the flood was
2.4 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (at a longitudinal gradient on the reach of 0.004). UP and
DP – height of water levels, the excess of which leads to unfavourable (UP)
and dangerous (DP) consequences for the population and the economic
activities.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f03.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F4" specific-use="star"><caption><p>The Black Sea coast of the Russian Federation: difference in value
of the greatest possible increase of water levels in river channels, and
after-effects of inundations.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f04.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F5"><caption><p>Reconstruction of flooding zone borders and water depths during
the river-flow inundations in the settlement of Novomikhailovskiy in 2010
and 2012 (Magritsky et al., 2013).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f05.png"/>

      </fig>

      <p>In these synoptic situations, the probability of the formation of waterspouts
is high. According to the meteorological station data of Tuapse during
1946–1988, 46 cases of formation of waterspouts were recorded. From 2002
until 2011, the Federal Hydrometeorology and Environmental Monitoring Service
recorded the formation of about 38 spouts (Baselyuk, 2012). Waterspouts happen mainly in
June–September over well-heated coastal regions, in warm and wet unstably
stratified air, especially during the advection of cold and rather dry air by
a cold atmospheric front. Spouts “descend” from cumulonimbus clouds. The
lifetime of a waterspout is from several minutes to several tens of minutes,
and they can pass a significant distance. In height, these spouts can reach
several hundred metres, with diameters of order of tens of metres. There are
eyewitness reports that waterspouts at Novorossiysk on 8 August 2002 had a
diameter of 200 m and a height over 1 km. The spouts formed in the coastal
region sometimes cause landfall and move over mountain ridges. As a result,
the seawater involved in the circulation of a spout falls into river basins.
It is impossible to resolve this process with standard observations;
therefore, some experts are sceptical about a “fatal” role of waterspouts
in the formation of powerful inundations (Sergin et al., 2001). Nevertheless,
evidence of local residents and special research of the Krasnodar branch of
Federal Hydrometeorology and Environmental Monitoring Service do not exclude
such a possibility. For example, according to data collected during field
research after the 8 August 2002 event, the settlement of Abrau-Dyurso
suffered a catastrophic inundation when local residents found fish from the sea in
their courtyards, and the river water had a saltish taste. The second example
– strong downpours on 20 June 1988 (179 mm for 4 h and 50 min) around
Novorossiysk – was observed after the formation of a powerful waterspout
over an open part of the sea and its arrival on the east coast of the
Tsemessky Bay (Volosuhin and Tkachenko, 2013). Most of the precipitation may be associated
with the destruction of the tornado over the coast. Perhaps, it did not even
rain; seawater (drawn into the twister) flowed down as a result of the
destruction of the tornado. On the western coast of the bay, there was no
rain during this day. This fact confirms a local phenomenon (which is
characteristic of a tornado).</p>
      <p>For the formation of high and dangerous floods, besides the amount of
precipitation and their intensity (in the first few hours), the amount of
precipitation for previous days and the degree of humidifying of the
watershed is important. At strong downpours of 50–100 mm (and more)
in 1–2 h, the intensity of raising the water level in the rivers increases.</p>
</sec>
<sec id="Ch1.S6">
  <title>Features and regularities of flood routing</title>
      <p>Formation of high and dangerous floods is probable in the upper and middle
reaches of the rivers on the Black Sea coast. In a case of heavy rains in
the lower river reaches and in a river mouth, flooding depends not so much
on raising the water level in the river, but on powerful overland streams
from the slopes of the valley. Quite often at the lower reaches of a
channel, flood formation starts earlier because the atmospheric water flux
moves uphill from the sea, i.e. from the river mouth. For small rivers, a
flood can be observed almost momentarily along the entire length of the
channel. For large rivers, such a hydrological situation leads to the
formation of especially high and destructive floods.</p>
      <p>Flood waves in the mountains and foothills move with great speed. It varies
depending on the slope of the channels and the amount of water discharges.
From the source to the mouth of the rivers, <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> increases; this
supports a high speed of flood propagation, despite a reduction of the slope
of the channels. The maximum flow velocities (<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>) during average
height floods range from 1.5–2 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (Gostargayka and Dyurso rivers)
to 3.5–4.5 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> (the rivers to the south from city of Gelendzhik).
The highest flow velocities vary from 5.5 to 7 m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>, but can be even
higher. On 7 October 1970 a maximum velocity was measured on the Kuapse river
of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>V</mml:mi><mml:mo>max⁡</mml:mo></mml:msub><mml:mo>=</mml:mo><mml:mn>8.75</mml:mn></mml:mrow></mml:math></inline-formula> m s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>. Average flow velocities are almost 1.5
times less than the observed maximum. The velocity of propagation of flood
waves is also lower (Fig. 3), but because of the lack of reliable data, this
is difficult to ascertain.</p>
      <p>High floods at the Black Sea Coast rivers – due to the storm character of
rainfall, large gradients of surface and rather small dimensions of the
basins – are characterized by short duration and an extremely fast rise and
subsequent fall of the water level (Fig. 3). Floods, or their series, can
last a number of days. However, the main part of the flood wave passes, as a
rule, within several hours – routinely no longer than 0.5–1 days.
However, the part of a flood that leads to flooding is even shorter. For
example, the catastrophic flood on the Tuapse River in 1991 lasted
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4.5 days, its basic part, though, passed approximately within
1 day, and flooding of the floodplain lasted less than 4.5 h (Panov et
al., 2012). Residual flooding of floodplains remains longer.</p>
      <p>The maximum rise of level (<inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>H</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>) in the valleys of the Black Sea
coast rivers can reach 5–7 m and even higher values (Fig. 4). The extreme
water level rise is possible for catastrophic floods at parts of narrowing
river valleys and channels, or upstream of bridges. The afflux component of
rising water levels upstream of bridges and dams of wooden debris can be
0.5–2 m, but possibly exceeds this value. For example, during the catastrophic
flood on 1 August 1991 between the settlements of Kirpichny and Tsypka at a
reach of the narrowing valley of the Tuapse River, the water level rise over
pre-flood water level amounted to 10–11 m, and upstream of the road bridge
in the city of Tuapse was approximately 10 m. At the hydrological gauging
station of Tuapse a level of <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="normal">Δ</mml:mi><mml:msub><mml:mi>H</mml:mi><mml:mo>max⁡</mml:mo></mml:msub><mml:mo>=</mml:mo><mml:mn>6.72</mml:mn></mml:mrow></mml:math></inline-formula> m was observed.
However, on the coastal rivers there are dominating parts where the rise of
water level did not exceed a range of 1 to 3 m.</p>
      <p>During abnormally high floods, practically the entire bottom of a river
valley is inundated: the width of a stream very quickly increases in time,
even by 15–20 times. For example, in 2012, during a flash flood, the width
of the Nechepsukho River in the settlement of Novomikhailovskiy, normally with a low
flow channel of 20–50 m, increased at the time of the flood to 300–700 m (Fig. 5).</p>
      <p>The flood wave undergoes its basic and final transformation at the lowermost
reach of the river and in the river mouth, i.e. downstream of the confluence
of the last large tributaries. The conditions are an essential widening of
the river valley, a reduction of the water slope and a backwater effect from the sea
(or from pebble and sand bars blocking the river mouth). As a result, the
most dangerous flooding happens (Figs. 5–6) where human settlements
are usually found, with resort facilities and other infrastructure objects. The
maximum depths of flooding by river waters reach more than 3 m, and by
overland streams up to 0.5 m. After the inundation culmination, the largest
part of water quickly flows down from floodplains into the river or
directly into the sea.</p>
      <p>The frequency of flooding of floodplains by river waters is controlled by the
elevation of the area and protective dams, and the value and the probability
of critical water levels and discharges. Vertical bed deformations,
artificial deepening of the channels and the embankment and transformation of
natural riverbeds in canals greatly influence the critical value of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>.
Therefore, over time the values of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> change. In 1970, near the
village of Gostagaevskaya, the water outflow into the floodplain already occurred (in
the absence of ice jams) at <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> with a probability of
10 %, whereas now the probability (due to natural and artificial bottom
improvement) is <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> &lt; 3%. In the early 1950s, the
floodplain near the village of Tatyanovka (at the Psezuapse river) could be flooded
at <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> with a probability &lt; 80%; in the early 1990s the
probability was <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> &lt; 22 %. There are numerous such
examples. This feature greatly complicates the development of effective
methods of forecasting dangerous floods and resulting inundations.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F6"><caption><p>Borders of flooding zones in the mouths of the rivers Shapsukho
(settlement of Lermontovo; area of flooding <inline-formula><mml:math display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.83 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), Vulan
(settlement of Arkhipo-Osipovka; <inline-formula><mml:math display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.73 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>), Tuapse (Tuapse;
<inline-formula><mml:math display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 2.1 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula>, Mezyb (settlement of Divnomorskiy;
<inline-formula><mml:math display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.44 km<inline-formula><mml:math display="inline"><mml:mrow><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup><mml:mo>)</mml:mo></mml:mrow></mml:math></inline-formula> and Dzhubga (settlement of Dzhubga; <inline-formula><mml:math display="inline"><mml:mi>F</mml:mi></mml:math></inline-formula> <inline-formula><mml:math display="inline"><mml:mo>≈</mml:mo></mml:math></inline-formula> 0.8 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula>) during
the big and catastrophic inundations.</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f06.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F7"><caption><p>Consequences of a catastrophic flood high water in August 2012.
Settlement Novomikhailovskiy (Tuapse district). <bold>(a)</bold> Depositions of river
sediments and refuse in the city stadium (August 2012; <uri>www.livekuban.ru</uri>);
<bold>(b)</bold> clearing the channel from deposits and vegetation (October, 2012,
D. V. Magritsky); <bold>(c)</bold> turbid plume in the mouth of the Nechepsukho river
(August, 2012; <uri>http://ria.ru/</uri>).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f07.jpg"/>

      </fig>

      <p>In general, horizontal and vertical changes of river channels can reach
significant values and create a definite threat for objects in the channel
and on the banks. Thus, the flood, similar to the mudflow, on the Matsesta
River in September 1913, led to erosion of the riverbanks and shifted the
shoreline by more than 400 m. During and after the inundation on the Tuapse
River in August 1945, vertical channel erosion at the site of the gauging
station and further downstream reached 2 m. The channel of the Ashamba River
after a catastrophic high water on  6–7 July 2012 deepened by 2–2.5 m, and
at the edge of the floodplain it became wider by 8 to 10 m (up to
15 m in places) (Evsyukov et al., 2013). Movement of catastrophic floodwater on the
river Shirokaya Balka led to an outwash of channel depositions 10 m deep,
reaching the bedrock, on 9 August 2002 (Barinov, 2009). There are again
many examples of this kind.</p>
      <p>During floods, together with the water, great volumes of deposits and debris
are moved downstream. Quite often floods transform into mudflows, possessing
even greater destructive ability, which leads to greater hydromorphological
changes, economic losses and negative ecological effects. The main part of
deposits accumulates, firstly, on the floodplain in the lower reaches and
at the mouths of the Black Sea coastal rivers. Therefore, besides
destruction, the river water unloads a thick layer (10–20 cm and more) of
deposits, of debris and of refuse (Fig. 7a) on the floodplain. This is another
aspect of the adverse effects of inundations together with channel
deformations, deterioration of water quality in rivers and the near-shore zone
of the sea. Deposits from floods and particularly mudflows seriously increase
flood damage on developed terrain and of civil constructions.</p>
      <p>Secondly, a significant part of deposits are accumulated in channels that
lead to a reduction of their water transport capacity. If a channel is not
periodically dredged, its transport capacity quickly diminishes. As a
result, the frequency of dangerous flooding increases. It also happened
in the settlement of Novomikhailovskiy in 2010 and 2012, despite
considerable protection measures against the inundations in the settlement
in the twentieth century, including high and continuous dams, and a wide and
improved channel. Only after the last inundation, has the channel cleaning
started (Fig. 7b).</p>
      <p>Thirdly, parts of the deposits remain in river mouths where these
depositions quite often form a bar shoal which is later washed away during
strong autumn–winter–spring storms. Other parts (very fine-sediment particle
fractions) are carried away into the sea, forming a strongly pronounced
turbid plume, unfavourable for recreational activities of resorts and
deteriorating habitat conditions of aquatic organisms (Fig. 7c).</p>
</sec>
<sec id="Ch1.S7">
  <title>Temporal regularities of inundations</title>
      <p>Despite a characteristic distribution of floods and of water flow within a
year (Table 1, Fig. 1), almost 71 % of all catastrophic and exceptional
inundations took place in July–August (71 %) and in October–November
(29 %). Some 52 % of large inundations happen in the summer and
26 % in the September–October period. The principal reason of such
distribution is the increase of extreme rainfall in the warm season.
According to meteorological records, nine rain events with a total
precipitation &gt; 100 mm d<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> happened in the last 50 years in
November–February while in May–October such downpours were observed at
least 46 times, and in 85 % of cases in June–September. In March–April,
there are no records of such rainfall. Besides, heavy rains in the cold
season have a longer time duration than in the warm period. This reduces the
probability of the formation of dangerous high waters. The contribution from
water tornadoes formed in the coastal region from June until October can be
one more factor for increasing flood levels.</p>
      <p>Conversely, the seasonal distribution of small and moderately dangerous
inundations reflects, on average, a water regime of two groups of rivers of
the coast – to the north of the Tuapse River, and to the south. It is
characterized by sufficient uniformity. Some 30 % of such inundations take
place in winter, in the spring 12 %, in the summer 28 % and in autumn
30 %. The safest months with respect to inundations of all types are March
(3.5 %) and especially April (1.5 %).</p>
      <p>At longer timescales, we can observe a non-linear and statistically
insignificant trend of the increase of the number of inundations and, hence,
of the expected damage (Fig. 8). It is caused by a noticeable increase of the
number of inundations, mainly in the period from the beginning of 1970s until the
early years of the twenty-first century. This positive trend can be challenged,
but the objective reasons for it, nevertheless, exist. Firstly, these are the
climatic changes observed in the region (Kononova, 2012; Panov et al., 2012;
Sergin et al., 2001; Volosuhin and Tkachenko, 2013). The increase in water flow
at a number of rivers (absolutely unequally distributed at the different
rivers in this small territory), and mainly peak water discharges (especially
in last quarter of the twentieth century) and maximum flow extremes (Fig. 9) are
considered as the hydrological reaction to these processes. This is true
particularly, for example, for the increase of anomalously high peak
discharges of water, such as in 1980, 1991, 1997, 2002, 2010 and 2012 and the
statistically significant (at <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">α</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> %) violation of
homogeneity of time series of the peak discharges (at the some rivers) in
respect of the dispersion.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F8" specific-use="star"><caption><p>Interannual changes of the number of inundations at the Black Sea
coast of the Krasnodar territory <bold>(a)</bold> and fluctuation of total duration for a
year of groups of types of atmospheric circulation of the Northern Hemisphere in
B. L. Dzerdzeevsky's typification in 1945–2013 (<bold>b</bold>; by data from site:
<uri>http://atmospheric-circulation.ru/datas/</uri>).</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f08.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F9" specific-use="star"><caption><p>Long-term fluctuations of the maximum water discharges of the
rivers Vulan <bold>(a)</bold>, Tuapse <bold>(b)</bold>, Shakhe <bold>(c)</bold> and Sochi <bold>(d)</bold>: 1 – maximum water
discharges, 2 – mean annual water discharge, 3 – maximum deviation from the
mean annual water discharge by 1 <inline-formula><mml:math display="inline"><mml:mi mathvariant="italic">σ</mml:mi></mml:math></inline-formula>.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f09.png"/>

      </fig>

      <?xmltex \floatpos{t}?><fig id="Ch1.F10" specific-use="star"><caption><p>Land use change, new buildings and infrastructure: mouth of the
Dagomys River (the city resort of Sochi) in the beginning of the twentieth century
and in the beginning of the twenty-first century. The image in <bold>(a)</bold>
is Prokudin-Gorskiy's photo (1910–1915, Library of the Congress of the USA). The
image in <bold>(b)</bold> is a photo from an online resource; <uri>http://www.panoramio.com</uri>, user
no. 6172839l (on 18 August 2013).</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f10.jpg"/>

      </fig>

      <p>The climatic origin of the long-term dynamics of the number of inundations
is obviously a combination of the number of inundations and the total (for a
year) duration of southern longitude-type circulations of the Northern
Hemisphere (in B.L. Dzerdzeevsky's typification), characterized by the
intensifying role of southern cyclones. According to Kononova (2012), from the end of
the 1950s onwards, the increase of the duration of this type of circulation (Fig. 8b)
is noted. In the early sixties, for the first time in 112 years of
record (from 1899 until 2012) southern longitude processes exceeded
their average number. An unprecedented growth of the duration of southern
longitude processes began in the 1980s and only after 2000 started to
drop, but they are still above the average level. The same dynamics can be found in the annual total numbers of
precipitation in the region of the Krasnodar territory (Volosuhin and
Tkachenko, 2013). Simultaneously, with weakening of the southern longitude
processes in the 2000s, a significant increase in the frequency of northern
longitude processes is noted.</p>
      <p>Secondly, the growth of the number of extreme inundations can be a
consequence of a wide scale and not always prudent economic activity. It often
includes intensive construction works at floodplains and on alluvial cones
of river mouths (Fig. 10), where 100 years ago there still was no activity,
and in the late eighties, with the beginning of the 1990s where in most
cases only temporary constructions and kitchen gardens were established. The
other reasons could be the termination (or decrease in scales) of works in
the Post-Soviet period of dredging channels and maintaining protective dams
in good condition (Fig. 7), and unreasonable and intensive land use on
watersheds. A number of scientists connect the increase in the twentieth century
(in comparison with the nineteenth century) of inundations, mudflows, rockfalls
and landslides to the last factor. In general, the anthropogenic
contribution to inundations for the Black Sea coast is considerable; its
effect constantly grows, breaking the relations between characteristics of
inundations both of natural climatic and hydrological factors, and enhancing
differences in their interannual variability, and finally increasing the
magnitude of inundations. The last example is an inundation on 7 July  2012
in Krymsk. According to the prevailing weather conditions, it would have
been considerable, but has outgrown any expectations due to a combination of
several anthropogenic factors. They are as follows: (1) the accumulation of the large
volume of water in fish-breeding ponds and the headwater upstream of the
bridge, and its subsequent outbreak, (2) the destruction of trees in the
river basin, (3) the location of residential buildings in an area of
potential flooding, (4) the untimely informing of the population.</p>
      <p>Without a thorough discussion of this point, it will be impossible to
quantify and respond to hydrological hazards, and to predict changes of
inundations in the future. Recent work supports the tendency we observe for
the future (Matveeva et al., 2013). The data of the climate model
ECHAM5/MPI-OM (scenario A2) have highlighted that during the summer
season of 2046–2065, an intensive frontal zone (one of the synoptic
predictors of abundant precipitation) will occur double as often than in
1981–2000, and 3 times more than in 1961–1980. For the winter season a reverse
relationship is observed: in the conditions of climate warming, the number
of cases with an intensive frontal zone will be lower by 1.75 times and 1.4
times in comparison with 1981–2000 and 1961–1980 periods accordingly
(Matveeva et al., 2013).</p>
      <p>Another feature of the interannual dynamics of the number of inundations at
the Black Sea coast of the Russian Federation is their recurrence with a
duration of cycles from 6–7 to 10–12 years (Fig. 9). The spectral
analysis of the time series with the program STATISTICA 10 (for five basic
transformations and at different window width of the sliding average) has
revealed the highest peak of the periodogram and spectral density for the
period of <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 8 years' duration and essentially smaller in height
at 7 years. Smaller peaks are found for the periods of 3.5, 5.0 and 23 and
at 11–12 years. A similar recurrence was found in the number of inundations
in the whole North Caucasus during 1980–2013 (Magritsky et al., 2013b) and by
Volosuhin and Tkachenko (2013) in the change of the quantity of floods of
category DP on the rivers of the Krasnodar territory. Therefore, a temporary
reduction of the number and magnitude of inundations does not mean that in
the near future (during a specified period) there will be no new
complications of the situation with inundations. The tragic events of 2002,
2010 and 2012 show what can happen in cases of self-complacency.</p>
</sec>
<sec id="Ch1.S8">
  <title>Geographical features and hazard of inundations</title>
      <p>Orographic features of the coast and features of rainfall, river-flow
inundations and inundations of the mixed type no. 1 as a rule cover only a
small number of local river basins and a limited area, especially in the case
of rain showers of tornado origin. Therefore, the spatial correlation of
<inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> for the coastal rivers is rather insignificant and quickly
decreases with distance between watersheds. Within the first 50 km, the
correlation coefficient (<inline-formula><mml:math display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>) still can reach significant values – more than
0.6–0.7 (at a wide range of fluctuations – from 0 to 0.9). Within 50–75 km, <inline-formula><mml:math display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula>
drops to 0.5–0.6 and less, within 75–125 km, <inline-formula><mml:math display="inline"><mml:mrow><mml:mi>r</mml:mi><mml:mspace width="0.125em" linebreak="nobreak"/><mml:mo>≤</mml:mo><mml:mn> 0.5</mml:mn></mml:mrow></mml:math></inline-formula>–0.4 and
for distances of 125–150 km and more, <inline-formula><mml:math display="inline"><mml:mi>r</mml:mi></mml:math></inline-formula> decreases to 0.2–0.1
and less. On average, the correlation for <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula> ceases to be
statistically significant (at the level of significance <inline-formula><mml:math display="inline"><mml:mrow><mml:mi mathvariant="italic">α</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">5</mml:mn></mml:mrow></mml:math></inline-formula> % and
the available duration of records) for the distances over 40–60 km. The
time of the maximum water discharges for a year on the Black Sea rivers and
subsequent inundations sometimes coincides with <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>. Inundations are
observed on the rivers of the northern slope of the Caucasus, such as the
rivers of Novorossiysk and Gelendzhik – with the rivers on the stretch from
the Gechepsin River to the Afips River, on the rivers of the Tuapse
district and the northern part of Sochi and on the rivers in the basins of
the Psekups, Pshish and Belaya. The last observed event took place in July
2012. Catastrophic inundations can cover even larger extended areas,
affecting even the southern extremity of the arid Anapa municipal district as
in August 2002.</p>
      <p>Inundations at the Black Sea coast of the Krasnodar administrative territory
vary irregularly, despite their small spatial dimensions. The least affected
are Temryuk (not including the delta of the Kuban River) and the Anapa
municipal districts, because the conditions are mostly flat and foothill
terrain, a small amount of precipitation and rarely a channel network.
Significant damage was recorded here from local storm rainfall floods: in
Temryuk district, about six cases are known since 1972, in Anapa about 11
cases since 1960. In the summer of 2003 such an inundation caused destruction
in the village of Taman with a damage of RUB 2.5 million  (Magritsky et
al., 2013a). Because of the low and flat coast between Anapa and the
settlement of Veselovka, the shallow sea near the coast and the spoon-like shape
of the shore, there is a certain potential danger of storm surges and of
tsunami. In addition, numerous artificial water reservoirs (ponds) are
potentially dangerous from the point of view of their possible outbreak. In
the Anapa district such reservoirs are very numerous: nearly 39 in number and
with the total area of 3.5 km<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">2</mml:mn></mml:msup></mml:math></inline-formula> (Panov et al., 2012). The ponds are
formed by dams on the rivers; these constructions are usually old and not
robust. During the high flood the dam outbreak can increase the magnitude of
the event dramatically. For example, according to our data, such a catastrophic flood
took place on the Durso River in the summer of 2002.</p>
      <p>In the Novorossiysk, Gelendzhik, Tuapse and Sochi municipal areas, floods
caused by extreme rain and powerful slope streams often lead to inundations.
River-flow inundations result from snowmelt runoff to a much lesser extent
(as in 1981, the rivers of Mezyb and Vulan; 2003 and 2013, the Mzymta
river), or by breaking of dammed lakes (in 1968, the Mzymta river) and ponds
(in 1977, the Mzymta river) or a combination of several factors. Even more
often, mass media report about local flooding of settlements by storm
waters and by slope streams. Additionally in this part of the coast,
powerful floods are possible during wind-wave surges. Seaport infrastructure
and objects of the resort/recreational economic sector, first of all, suffer
from these. Similar events were noted, for example, in 1968 in the mouth of
the Dagomys River, in 1992 on the reach between Sochi and Adler and in 2003 and
2009 in the mouth of the Mzymta River.</p>
      <p>The average interannual repeatability of river flow and of inundations of the
mixed type no. 1 in the Novorossiysk, Gelendzhik, Tuapse areas and in Sochi
is approximately once in 2.1, 0.9, 0.7 and 0.45 years respectively. For
comparison, in Anapa it happens once in 6 years, and for the whole Black Sea
coast once in 0.3 year. The percentage of small and moderately dangerous
inundations is equal to 87 % in Novorossiysk, Gelendzhik and Tuapse
districts. In Sochi, this percentage reaches 92 %, in Anapa almost
100 %. Other cases are big, catastrophic and exceptional inundations. Most
catastrophic and exceptional inundations, in total four, occurred between
1945 and
2013 on the rivers of the Tuapse district.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F11"><caption><p>Empirical relationship between direct material damage (millions of
US dollars) and type of inundation (river flow and the mixed type no. 1
inundations), or probability of <inline-formula><mml:math display="inline"><mml:mrow><mml:msub><mml:mi>Q</mml:mi><mml:mo>max⁡</mml:mo></mml:msub></mml:mrow></mml:math></inline-formula>.
<inline-formula><mml:math display="inline"><mml:mi>a</mml:mi></mml:math></inline-formula> is the lower part of the curve (zoom between categories 1–3).</p></caption>
        <?xmltex \igopts{width=241.848425pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f11.png"/>

      </fig>

      <p>In Sochi, large hazards of inundations are conditioned by the large area of
the terrain, the number and length of the rivers, the higher amount of
precipitation and the number of settlements. Most casualties were recorded
for the Novorossiysk, Gelendzhik and Tuapse districts. One of the factors of
such regularity is the greater level of water level rise, inherent to the
rivers of Novorossiysk, Gelendzhik and Tuapse area (Fig.3); another, is the
fast formation and transit of floods on the rivers of these areas, because
of their small dimensions, and often the mudflow character of the floods.</p>
      <p>Most inundations happen in the lower reaches and the mouths of the
Black Sea coastal rivers and there is, accordingly, greater damage and higher losses.
Large economical activities and larger populations are concentrated there,
and most of the factors of “spontaneous behaviour” of river, rainfall and
seawater take place. Therefore, a stricter approach is necessary for this
terrain with a higher degree of scrutiny with respect to issuing permission
for the placement of social and industrial objects in this region (land use
and land planning), for the estimation of cost of their insurance and of the
protective action and for the population evacuation in case of emergency.</p>
      <p>During catastrophic inundations, the resultant damage is huge without
depending on the information on dimensions of the terrain and the number of watersheds
subjected to storm precipitation and rising water level in the rivers.
According to data of the electronic database “Inundations in the river
mouths of the European part of Russia” (Alexeevsky et al., 2013), the damage
from exceptional inundations in August 1991 was estimated at approximately
RUB 400 million (or USD 680 million, according to the official exchange
rates of the Central Bank of the Russian Federation for different years),
from which RUB 363 million (USD 615 million) was attributed to the
terrain of the coast. The number of casualties reached about 40 people,
including 11 people who were missing. Inundations in August 2002 led to damage of
roughly RUB 1.7 billion (USD 54 million) and casualties
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 60 (including missing people); in October, 2010 – in RUB 2.5
billion  (USD 80 million) and 24 people dead; in August 2012 – RUB 1 billion
(USD 32 million) and four people lost their lives. The
exceptional inundation in July 2012 is not included in this list, as the
main impact of the natural disaster and the damage was in the Krasnodar
territory outside the Black Sea coast. During the big inundations, human
casualties also are possible; the size of direct material damage varies from
several hundred thousand to several millions dollars, but, according to the
available scarce data, has not exceeded 4–5 million dollars for the Black Sea coast rivers.</p>
      <p>Between the magnitude of inundation and the value of direct material damage
there is an obvious and explainable relationship where the value of the
damage increases (when moving from small inundations to more destructive
ones) as the curve is close to an exponential function, but with higher
steepness (Fig. 11). Certainly, the reliability of the relationship
developed by the authors of the paper still is low; the confidence interval
is wide. The reasons are the small number of cases (17 values) and the low
reliability of the initial data. However, similar relationships
essentially dictate our understanding of the danger of those or other inundations.</p>
      <p>In general, the annual economic risk of river-flow inundations and
inundations of the mixed type no. 1 can be estimated approximately for all
the Black Sea coast of the Russian Federation at USD 13.2 million,
and the social risk at 2.1 human lives. In the area of possible flooding, the
risk varies from 49 (data of the authors) to 74 settlements (open information
of the Ministry of Civil Defence and Emergency Situations for the Krasnodar
territory), and about 3100 residence houses and 18 200 inhabitants.</p>
</sec>
<sec id="Ch1.S9">
  <title>Countermeasures for inundations and their efficiency</title>
      <p>Economic and social losses from inundations at the Black Sea coast of the
Krasnodar territory are one of the highest in the Russian Federation.
Therefore, one important direction for safe and sustainable development of
this area remains in the implementation of various actions for a reduction
of this hazard. The last catastrophic events and the preceding conditions
have highlighted weaknesses of traditional measures, consequences of their
non-observance and initiated the search for new solutions.</p>
      <p>The basic conclusion from recent inundations consists of the need to
consider (as objects of the efforts) not only the lower reaches and mouths
of the Black Sea coast rivers where the main part of the social and economic
development of the coast is concentrated, but also whole river basins and
catchments (Magritsky et al., 2013a; Sergin et al., 2001). This is the
watershed, where its physiographic features determine the time of
concentration of surface runoff water in river channels, the saturation of a
river stream by suspended load, debris and other refuse and the
transformation of a common flood into a mudflow. Therefore, the
countermeasures for inundations should necessarily include well-defined
actions on river watersheds. These measures should include steps aiming
towards the improvement of the water-controlling ability of reservoirs (by means of
stopping woodcutting in mountain forests, optimization of composition of
forest vegetation, etc.), the reduction of erosion of bedrock and the reduction of littering of slopes of river valleys and riverbanks.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F12" specific-use="star"><caption><p>An example of numerical modelling of inundation in the valley of
the Ashamba River (terrain of city resort Gelendzhik): <bold>(a)</bold> terrain before
flood, <bold>(b)</bold> calculated maximum flood depths.</p></caption>
        <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/16/1289/2016/nhess-16-1289-2016-f12.jpg"/>

      </fig>

      <p>Definitely, basic measures are necessary in the middle and especially in the
lower reaches of the rivers. Among engineering measures, for a long time and
successfully carried out here, these are the construction of bank dams,
deepening and improving river channels, and reinforcement and protection
of riverbanks against flood erosion. For example, out of 48 rivers
discharging to the sea between Tuapse and the settlement of Leselidze, 20
channels, i.e. 42 %, were improved. However, these measures are only effective
if the embankments/dams are in good condition and of sufficient height, the
river channel is constantly cleaned from depositions and debris, the channel
improved and maintaining sufficient transport capacity, not only for water
but also for the considerable quantity of deposits, debris and that this
capacity remains maintained under the bridges. Default, or infringement of
these and other requirements lead to those consequences, which all can
observe, for example in the settlement of Novomikhailovskiy during the large
inundations in 2010 and 2012.</p>
      <p>At the same time, dredging channels and the removal of boulders, pebbles, gravel
and sand from a channel and from floodplains should be carried out, taking
into account possible adverse consequences of this action. Accompanying this
action, there are many that can overturn any positive effect:
<list list-type="bullet"><list-item>
      <p>decrease of the low flow water level in rivers,</p></list-item><list-item>
      <p>lowering of ground water level,</p></list-item><list-item>
      <p>the almost inevitable water supply infringement,</p></list-item><list-item>
      <p>undermining and infringement of the stability of hydraulic
constructions in the channel and on the banks,</p></list-item><list-item>
      <p>change of the balance of beach-forming deposits and intensifying of the
vulnerability of sea beaches.</p></list-item></list>
Other engineering measures such as the increase in height of dams around the
objects of importance, channel replacement, as in a case in the lower
reach of the Tuapse River, maintenance of free drainage or filtration of
rainwater in inhabited terrains are also suggested. At present, the operative
practice of artificial dam-breaking of coastal barriers in the river mouth
is rarely applied. Coastal barriers formed by sea waves and storm surges
block the river channel and do not allow the river waters to flow freely into
the sea. At the approach of the flood wave, the coastal dam, which routinely
protects the mouths of the Black Sea rivers from wind-induced sea surges,
is at the initial moment of the development of inundations a serious obstacle
for the free discharge of river water into the sea; i.e. this is one more
factor to contribute to inundation.</p>
      <p>Regulating the maximum flow by water reservoirs on the Black Sea rivers is
ineffective, owing to the impossibility of building in this region large
regulating storage capacity. They fill up fast with sediment, including
landslip and mudflow deposits. Additionally there is a high danger of
destruction of the dams because of the high seismicity of the terrain. Where
artificial reservoirs nevertheless are built, they are an additional factor
leading to powerful natural/anthropogenic river-flow inundations. Therefore,
such hydraulic engineering structures should be constructed under
multi-hazard aspects and designed very reliably.</p>
      <p>Among non-engineering approaches, it is necessary to pay attention, first, to
an increase of efficacy of the preliminary forecasts of the maximum water
levels and discharge, the timely warning of the population and subjects of
economy about the approach of the flood. Modernization of the
hydrometeorological monitoring system for this purpose is required. The
first steps in this direction have already been made by the Ministry of
Emergency and Civil Defence in the Krasnodar territory. Since November 2012,
the computerized system of monitoring flood situations on the rivers and
reservoirs (<uri>http://test.emercit.com/overall.html</uri>) in the region has been in place.
The installation of several rain radar-tracking stations for monitoring the
intensity and quantity of precipitation is required. Vulnerability assessment
and an increase of preparedness of the local population are also important aspects
among measures of flood risk minimization (Zemtsov, 2014).</p>
      <p>For the next steps, a clear understanding of the reasons, features and
systematics of the origin and development of inundations and their adverse
hydrologic-ecological, morphological, social and economic consequences is
necessary. Here are good prospects for numerical modelling and
GIS technologies (Fig. 12). Modelling of water and debris flow is required
to estimate flooding borders, water levels, depths and flow velocities in
key areas. Such data could be the base for a detailed hazard assessment and
zonation of the river valleys (Petrakov et al., 2012).</p>
      <p>Different restrictions (by various means – from administrative measures to
flexible flood insurance) are necessary for the process of developing the
territory in order to reduce its potential flooding hazard. For this
purpose, these limits (for inundations different in their dimensions) should
be made known and the terrains differentiated at the degree of their
hydrological hazards. This will be required for solid land-use planning and
planning permissions.</p>
</sec>
<sec id="Ch1.S10" sec-type="conclusions">
  <title>Conclusions</title>
      <p>The list of the dangerous natural phenomena at the Black Sea coast of the
Krasnodar territory of the Russian Federation is extensive, but inundations
cause the greatest damage. Such a situation arises from the influence and
interactions of many different factors. Among natural factors are the
specific location of the area, the complex orography of the territory, the
high drainage density, small basins area and the big water slopes and weak
regulating ability of river watersheds. An important role is played by the
large quantity and the extremeness of rainfall, and the intense flood
regimes of the rivers. Extreme floods are formed and move down along the
valley rapidly. This leads to a fast substantial increase of water levels,
the frequent transformation of rain floods into mudflow-like streams, the
contribution of powerful storm and overland streams to additional terrain
flooding. Among anthropogenic factors are the location of the main part of
settlements, objects of the industry, social sphere and the resort industry,
the transport infrastructure in river valleys and the mouths of the Black
Sea coastal rivers.</p>
      <p>At origin on the Black Sea coast, inundations are generated by river flow and
river flow, combined with rainstorms (inundations of the mixed type no. 1). They
dominate in number, repeatability and damage values. At the coast and in
river mouths the inundation can be caused also by storm surges, or by storm-wave-induced surges, and the interaction of river and the sea. We can
distinguish inundations by terrain coverage (the number of involved
watersheds and rivers) and intensity, and by magnitude of the damage –
small, moderately dangerous, large, catastrophic and exceptional inundations.
The probability of their occurrence accordingly is <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 20,
<inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 10, <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 4–5, <inline-formula><mml:math display="inline"><mml:mo>∼</mml:mo></mml:math></inline-formula> 2–2.5 and &lt; 1 % respectively.</p>
      <p>The floods, which lead to river-flow inundations and the mixed type no. 1 inundations,
are formed by abundant and heavy storm rainfall. This occurs with the transit of
southern cyclones, cold atmospheric fronts of extensive Atlantic cyclones
covering Eastern Europe or accompanying cyclones quickly arriving from the
northwest. As a special case, extreme rainfall discharges as a result of the
destruction of seaborne tornadoes on land. The mountain relief has a
considerable role in the formation of abundant precipitation. Catastrophic
inundations are generated by an abnormal combination of synoptic processes
and convective phenomena.</p>
      <p>The characteristic features of dangerous floods are their rapid formation and
propagation, a significant increase of water level (up to 5–7 m and more)
and multiple increase of water discharges (at times practically from values
close to zero to several hundred m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula> and even &gt; 1000 m<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mn mathvariant="normal">3</mml:mn></mml:msup></mml:math></inline-formula> s<inline-formula><mml:math display="inline"><mml:msup><mml:mi/><mml:mrow><mml:mo>-</mml:mo><mml:mn mathvariant="normal">1</mml:mn></mml:mrow></mml:msup></mml:math></inline-formula>).
During floods, practically the entire bottom of the river valley can be
submerged, therefore all this terrain becomes a region of significant risks
for land use and management. The flood wave undergoes main and dangerous
transformations at the lowermost reach of the channel and in the river mouth
where settlements and basic economic objects routinely are developed. The
maximum heights of flooding by river waters can reach 2–3 m here, and in
slope streams 0.5 m. Flooding lasts some hours routinely; residual floods
continue longer. Floods carry great volumes of sediments and debris together with the water. Quite often, floods transform into mudflow streams with
a high destructive capability, and have, different from floods, severe
hydrological-morphological, economic and ecological consequences.</p>
      <p>Most catastrophic and exceptional inundations arise in the summer and in the
early autumn. Small inundations during the remaining year reflect the
seasonal distribution of river flow and floods in the Black Sea rivers.</p>
      <p>On the interannual scale, the increase of the number of inundations, and,
hence, the damage involved, is implicit. It is mainly caused by an
appreciable increase of the number of inundations in the period from the
early 1970s until the early years of the twenty-first century. The main reason is
found in a changing climate but another influence, especially regarding the
extreme inundations, is anthropogenic influences such as irrational and badly planned
economic activities in channels, flooded terrains and on river watersheds.
The mean annual frequency of inundations and dangerous floods on the entire
coast is about once in 0.3 years. The number of inundations in the region
varies with a duration of cycles from 6–7 to 10–12 years.</p>
      <p>Not all administrative areas of the coast are equally at risk and vulnerable
to river inundations. The most dangerous areas are the Novorossiysk,
Gelendzhik, Tuapse and Sochi municipal districts. The larger Sochi area is
in danger of a high frequency of inundations, whereas in the other three
areas the high danger results from higher extremes of storm rain floods. Not
surprisingly, here are more cases of catastrophic inundations and loss of
human lives. In general, the total annual economic and social risk from
river inundation can be approximately estimated at USD 13.3 million
and two human lives at the Black Sea coast of the Russian Federation.</p>
      <p>Our systematic analysis will increase awareness of the public to raise the
level of safety and security of the terrain, and objects and population in
the Black Sea Coast area not only by improving engineering actions, but also
by the optimization of the terrain, and the increase of system effectiveness
of the monitoring and forecasting critical hydrometeorological situations,
resulting in improved early danger warnings.</p>
</sec>

      
      </body>
    <back><ack><title>Acknowledgements</title><p>The authors are grateful for the support of their database collections,
field investigations, and hazard estimations as members of the Natural Risk
Assessment Laboratory (NRAL) of Lomonosov Moscow State University under
grant no. 11.G34.31.0007. Analysis of floods characteristics, features and
regularities of flood routing, and mapping of flooding zones were
financially supported by the Russian Science Foundation (grant no.
14-17-00155). Part of the research related to the analysis of synoptic
conditions was supported by grant RFBR 13-05-41058. Inundation
typification, methodology of flood cases identification based on
hydrometeorological data and the design of countermeasures were developed
as part of the grant of the Russian Science Foundation (grant no. 14-37-00038).</p><p>The authors gratefully acknowledge the careful attention and suggestions of
Sven Fuchs and an anonymous referee, which led to a significant improvement of
the paper.<?xmltex \hack{\\\\}?>Edited by: I. Didenkulova<?xmltex \hack{\\}?>
Reviewed by: S. Fuchs and one anonymous referee</p></ack><ref-list>
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  </ref-list><app-group content-type="float"><app><title/>

    </app></app-group></back>
    <!--<article-title-html>Causes and systematics of inundations of the Krasnodar territory on the
Russian Black Sea coast</article-title-html>
<abstract-html><p class="p">The inundation situations on the Black Sea coast of the Krasnodar
territory for the period from 1945 until 2013 were analysed and the main
types of inundations at the coast are described. Synoptic factors of the
formation of extreme precipitation and rainfall floods, features and regularities
of the downstream flood wave transformation in the rivers are also studied.
Therefore, assessments of seasonal and maximum flow of the Black Sea coast
rivers for the period of hydrometric measurements were done. Regularities of
change of the occurrence of inundations and their characteristics on the
coastal terrain were analysed, for a year and on a perennial timescale.</p><p class="p">Most catastrophic and exceptional inundations arise in the summer and in
early autumn. Small inundations during the remaining year reflect the
seasonal distribution of river flow and floods in the Black Sea rivers.
Extensive and sometimes extreme precipitation dominates the river flow
regimes. The seasonal distribution of small and moderately dangerous
inundations reflects, on average, a water regime of two groups of rivers of
the coast – to the north and to the south of the Tuapse River. To the north
of the Tuapse River, floods prevail from November until March (up to 70 %
of observed floods took place in this period)
as a result of precipitation and winter snowmelt during frequent thaw
periods. In winter, high waters often overlap to form a multi-peak high water
of 2–3 weeks' duration. In the summer and in early autumn we observe a steady
low flow. The total amount of runoff increases both in a southeast direction,
and with the altitude of the river basins. Interannual variability of mean
annual runoff, as well as maximum runoff, on the contrary decreases in the
southern direction and with an increasing area of the river basins. The coastal
high waters of the rivers of the Sochi part of the coast are typical at any time of the
year, but more often floods in the cold season result from incessant rain,
and thawing snow. Annually up to 25 floods have been observed. The principal
reason of such distribution is the increase of extreme rainfall in the warm
season.</p><p class="p">Orographic features of the coast and detailed features of rainfall only cover
a small number of local river basins and a limited area. The geographical
correlation of individual rainfall and subsequent floods ceases to be
statistically significant for distances over 40–60 km.</p><p class="p">The annual flow cycle is mainly determined by two seasons, winter/spring and
summer, with strong and weak flows, respectively; almost 71 % of all
catastrophic and exceptional inundations took place in July–August
(71 %) and in October–November (29 %). The characteristic features
of dangerous floods are their rapid formation and propagation, a significant
increase of water level (up to 5–7 m and more) and the multiple increase of
water discharges in comparison with low flow period.</p><p class="p">Analysis of the interannual changes of the number of inundations at the
Black Sea coast of the Krasnodar territory has shown some increase of the number
of inundations in the period from the early 1970s until the early years of
the twenty-first century.</p><p class="p">Quantitative assessments of risk, hazard and damage for the population and
economic activities from accidental inundations in the valleys of the Black
Sea coast rivers show that economic and social losses from inundations at
the Black Sea coast of the Krasnodar territory are some of the highest in the
Russian Federation. The basic conclusion from recent inundations is the need
to consider not only the lower reaches and mouths of the Black Sea coast
rivers where the main part of the social and economic development of the
coast is concentrated, but also whole river basins and catchments. Further,
an analysis of the efficiency of the measures applied at the coast to
mitigate inundations and their after-effects is provided.</p></abstract-html>
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hazardous hydrological phenomena in the Krasnodar region of Russia,
Geogr. Environ. Sustain., 7, 95–118, 2014.
</mixed-citation></ref-html>--></article>
