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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-19-313-2019</article-id><title-group><article-title>Communicating disaster risk? An evaluation of the <?xmltex \hack{\break}?> availability and quality of flood maps</article-title><alt-title>Communicating disaster risk? An evaluation of the availability and quality of flood maps</alt-title>
      </title-group><?xmltex \runningtitle{Communicating disaster risk? An evaluation of the availability and quality of flood maps}?><?xmltex \runningauthor{D.~Henstra et al.}?>
      <contrib-group>
        <contrib contrib-type="author" corresp="yes" rid="aff1">
          <name><surname>Henstra</surname><given-names>Daniel</given-names></name>
          <email>dhenstra@uwaterloo.ca</email>
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Minano</surname><given-names>Andrea</given-names></name>
          
        </contrib>
        <contrib contrib-type="author" corresp="no" rid="aff2">
          <name><surname>Thistlethwaite</surname><given-names>Jason</given-names></name>
          
        </contrib>
        <aff id="aff1"><label>1</label><institution>Department of Political Science, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada</institution>
        </aff>
        <aff id="aff2"><label>2</label><institution>School of Environment, Enterprise and Development, University of Waterloo, Waterloo, Ontario, N2L 3G1, Canada</institution>
        </aff>
      </contrib-group>
      <author-notes><corresp id="corr1">Daniel Henstra (dhenstra@uwaterloo.ca)</corresp></author-notes><pub-date><day>1</day><month>February</month><year>2019</year></pub-date>
      
      <volume>19</volume>
      <issue>1</issue>
      <fpage>313</fpage><lpage>323</lpage>
      <history>
        <date date-type="received"><day>11</day><month>September</month><year>2018</year></date>
           <date date-type="rev-request"><day>4</day><month>October</month><year>2018</year></date>
           <date date-type="rev-recd"><day>11</day><month>January</month><year>2019</year></date>
           <date date-type="accepted"><day>24</day><month>January</month><year>2019</year></date>
      </history>
      <permissions>
        
        
      <license license-type="open-access"><license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</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 id="d1e106">One of the key priorities for disaster risk reduction is to ensure
decision makers, stakeholders, and the public understand their exposure to
disaster risk, so that they can take protective action. Flood maps are a
potentially valuable tool for facilitating this understanding of flood risk,
but previous research has found that they vary considerably in availability
and quality. Using an evaluation framework comprising nine criteria grounded
in existing scholarship, this study assessed the quality of flood maps
available to the public in Canadian communities located in designated flood
risk areas. It found that flood maps in most municipalities (62 %) are
low quality (meeting less than 50 % of the criteria) and the highest score
was 78 % (seven of nine criteria met). The findings suggest that a more concerted
effort to produce high-quality, publicly accessible flood maps is required to
support Canada's international commitment to disaster risk reduction. Further
questions surround possible weighting of quality assessment criteria, whether
and how individuals seek out flood maps, and how flood risk information could
be better communicated using modern technology.</p>
  </abstract>
    </article-meta>
  </front>
<body>
      

<sec id="Ch1.S1" sec-type="intro">
  <title>Introduction</title>
      <p id="d1e116">Flooding is a major global problem that affects millions of people annually.
Both the frequency and magnitude of extreme floods have grown over the past
few decades (Berghuijs et al., 2017), while models project increased future
flooding along rivers (Alfieri et al., 2016; Winsemius et al., 2016), in
coastal zones (Vitousek et al., 2017), and in urban areas (Kundzewicz et
al., 2014). Countering this threat requires a strategy of disaster risk reduction, meaning a
concerted effort to “reduce the damage caused by natural
hazards … through an ethic of prevention” (UNISDR, 2018).</p>
      <p id="d1e119">This strategy of disaster risk reduction is embodied in the Sendai Framework
for Disaster Risk Reduction, an international agreement endorsed in 2015 by
187 United Nations members. The framework's first priority – understanding
disaster risk – exhorts member states to “develop, periodically update and
disseminate, as appropriate, location-based disaster risk information,
including risk maps, to decision makers, the general public and communities
at risk of exposure to disaster” (United Nations, 2015, p.15). This
priority supports risk-based decision-making through the transparent
exchange of accessible and up-to-date risk information (United Nations, 2015, p. 14).</p>
      <p id="d1e122">In the context of floods, this priority suggests that stakeholders must
understand the probability of flooding at their location, the likely
inundation zone of a flood of a particular magnitude, possible impacts on
their property and assets, and measures they can take to mitigate the risk.
Flood maps – cartographic depictions of geographic areas that could be
flooded – are a potentially valuable tool for facilitating this
understanding of disaster risk (Dransch et al., 2010). Flood maps are used
for a variety of purposes (e.g., land use decisions, emergency management)
and by various users (Van Alphen et al., 2009). As a result, one kind of
flood map is not suitable for all purposes, so they must be designed with
consideration of who will be using them and for what purpose (Luke et al.,
2018; Sayers et al., 2013).</p>
      <p id="d1e125">One important purpose of flood maps is to communicate risk to public
audiences (Hagemeier-Klose and Wagner, 2009; Kellens et al., 2009; Minano
and Peddle, 2018). Flood maps used for risk communication generally seek<?pagebreak page314?> to
raise public awareness about flood impacts, impart flood preparedness
advice, and increase transparency about government actions for reducing
flood risk. However, flood maps designed for this purpose must ensure that
intended audiences are able to understand and correctly interpret the
information presented (Kellens et al., 2009; Van Kerkvoorde et al., 2018).</p>
      <p id="d1e129">Since one of the key principles of modern flood risk management is to enable
citizens to understand and act on flood risk (Sayers et al., 2013), this
study analyzes the suitability of existing flood maps as tools for
communicating risk to the public. To this end, the article identifies key
characteristics that experts associate with flood maps suitable for public
audiences and combines them into an evaluative framework. This framework is
then applied to evaluate publicly and freely available web-based flood maps
of Canadian communities. It finds that flood maps are often difficult to
locate through online searches and most flood maps available to Canadians
are not suitable for communicating flood risk to the public.</p>
      <p id="d1e132">The paper begins by drawing insights from existing literature about types of
flood maps and previous studies that have sought to evaluate their quality.
It then sets the context for the present study by providing a short history
of flood mapping in Canada. The fourth section describes the study's methods
of data collection and analysis, including how the maps were located and
catalogued and the assessment criteria used to evaluate their quality. Section 5
presents the results of the analysis, describing the availability and
quality of flood maps in Canada, and this is followed by a discussion of the
key findings and implications. The paper concludes with recommendations for
future policy and research on flood mapping.</p>
</sec>
<sec id="Ch1.S2">
  <title>Literature review</title>
      <p id="d1e141">There are two main types of flood maps, which can be differentiated from one
another based on their purpose and content (Canada, 2017, p. 5; EU Environment,
2007, p. 11). Flood <italic>hazard</italic> maps indicate geographic areas, typically
along waterways and coasts, that could be covered by a flood of a particular
magnitude (e.g., the “100-year flood” or “1 % annual exceedance
probability”). They are typically used to support planning and engineering
functions, such as setting zoning regulations and enforcing development
standards (Porter and Demeritt, 2012). In the Canadian province of Ontario,
for example, flood hazard maps are created by conservation
authorities – regional watershed management agencies empowered by provincial
legislation – and are used to regulate development in flood-prone areas along waterways.</p>
      <p id="d1e147">Flood hazard maps sometimes also include additional information, such as the
type of flood, flood extent, water depths, and flow velocity, which can be
useful for raising public awareness about flooding (Paine and Watt, 1992).
As Kjellgren (2013, p. 1857) argues, “by providing a visual image of the
foreseen consequences of flooding, flood hazard maps can enhance people's
knowledge about flood risk, making them more capable of an adequate
response”. Although flood hazard maps provide a rational basis for public
policies and administrative decisions, they typically contain highly
technical data, lack information on potential adverse consequences
associated with flooding, and fail to distinguish among different flood
sources. These characteristics limit their utility for strengthening public
understanding of flood risk.</p>
      <p id="d1e150">Flood <italic>risk</italic> maps include flood hazard information, but also depict assets at risk
(e.g., structures; critical infrastructure) and include indicators of the
adverse consequences associated with floods, typically denoted in terms of
households affected, economic activity likely to be affected, and so on
(Stevens and Hanschka, 2014, p. 909). With their enhanced detail, flood risk
maps are valuable for stimulating policy dialogue about flood risk
management, supporting decisions about strategic investments in structural
and non-structural mitigation, informing insurance underwriting, and
increasing public awareness of flood risk (Albano et al., 2017; Büchele
et al., 2006; Marco, 1994).</p>
      <p id="d1e156">Good flood maps are important for a number of reasons. First, outdated or
poor-quality flood maps allow for faulty planning decisions that put people
and property at risk (Keller et al., 2017; Reid, 2014). Second,
communicating flood risk to stakeholders and the public in an effective way
is important to build trust in the information disseminated by authorities
and to motivate those at risk to take protective actions. Finally, flood
maps that effectively assist people in understanding their risk are
important to legitimate potentially contentious decisions around disaster
risk reduction, such as relocating households out of harm's way (Kellens et
al., 2009). For these reasons, evaluating the quality of flood maps is an
important imperative.</p>
      <p id="d1e160">Flood map analysis and evaluation has a relatively strong scholarly
foundation, as illustrated by a number of studies that have assessed flood
maps over the past decade. Hagemeier-Klose and Wagner (2009), for instance,
compared flood maps across five European countries – Germany, Austria,
Switzerland, the Netherlands, and Great Britain – in order to evaluate them
in terms of readability, design, and content. They found considerable
variation in the comprehensiveness and complexity of the information
presented and differences in the terminology used to describe flood hazard probability.</p>
      <p id="d1e163">In a more comprehensive analysis, de Moel et al. (2009) assessed the
availability and content of flood maps in 29 European countries. This study
was timely, following shortly after the European Floods Directive of 2007,
which directed all EU member states to conduct a national assessment of
their flood hazard, exposure, and vulnerability, which would be used to
develop flood risk maps and flood risk management plans (Fuchs et al., 2017;
Hartmann and Spit, 2016). They found that most states had flood maps
covering the bulk of<?pagebreak page315?> their territory but noted that very few had produced
flood risk maps that include information on the consequences of flooding,
such as economic damage or the number of people likely to be affected. These
findings confirmed those of an earlier study of European flood mapping
practices, which observed “maps that illustrate possible consequences of
inundations or information that helps to mitigate flood damages are rare”
(Merz et al., 2007, p. 234). More recent research evaluating the
implementation of the European Floods Directive indicates that considerable
progress has been made toward the production of flood risk maps (Meyer et
al., 2012), but flood risk management plans have lagged behind, particularly
with respect to mountain flood hazards. Key implementation challenges have
included engaging the public in local risk assessment and navigating legal,
institutional, and professional divides (Hartmann and Driessen, 2017; Nones,
2017; Thaler et al., 2018).</p>
      <p id="d1e166">In Canada, Stevens and Hanschka (2014) collected flood hazard maps from
every municipality in the province of British Columbia and evaluated them
based on 32 good mapping practices, such as whether they included a legend,
indicated the floodway boundary, included the flood elevation for different
probabilities, and showed the boundaries of individual property parcels.
They found that only 43 % of municipalities possessed a flood hazard
map and most of these maps were of poor quality for land use
decision-making, with no map containing more than 15 of the 32 assessment
criteria (i.e., <inline-formula><mml:math id="M1" display="inline"><mml:mrow><mml:mo>&gt;</mml:mo><mml:mn mathvariant="normal">47</mml:mn></mml:mrow></mml:math></inline-formula> %).</p>
</sec>
<sec id="Ch1.S3">
  <title>Study context</title>
      <p id="d1e185">Canada is a large and geographically diverse country, with regional exposure
to all forms of flooding, including riverine (fluvial) inundation, coastal
flooding caused mainly by storms and storm surge, and surface water
(pluvial) flooding caused by heavy precipitation, which flows into streets
and affects nearby structures (Burn and Whitfield, 2016; Tucker, 2000). More
than 80 significant flood disasters have affected various parts of Canada
since the year 2000, and extreme rainfall alone caused more than CAD 20 billion
in losses in urban areas from 2003 to 2012 (Kovacs and Sandink, 2013; Public Safety Canada, 2015).</p>
      <p id="d1e188">Canada is also a federal state, in which sovereign authority is
constitutionally divided between one national government and 10 provincial
governments. Flood risk management (including flood mapping) is overseen
predominantly by the provinces, which set regulatory standards for
development, fund structural mitigation works, and provide disaster
assistance to affected communities. The federal government plays an
important role by, for example, providing forecasts of weather conditions
that could lead to flooding, monitoring flood hazards from the Government
Operations Centre, funding small flood mitigation projects, and contributing
to post-flood disaster assistance. Finally, local governments serve several
key flood risk management functions, including using zoning by-laws to
direct development away from flood-prone areas, issuing flood warnings when
conditions seem imminent, and subsidizing property-level flood protection
measures such as backflow preventers.</p>
      <p id="d1e191">The most concerted flood mapping effort in Canada occurred under the Flood
Damage Reduction Program (FDRP), an intergovernmental initiative that
operated between 1975 and 1999, which aimed to identify high-risk flood
areas (de Loë, 2000). Through a general agreement between the government
of Canada and the provinces, the cost of flood mapping was cost-shared on a
50–50 basis, and all provinces and territories except Prince Edward Island
and Yukon participated (Bruce, 1976; Watt, 1995). Nunavut was also not a
part of the FDRP since it did not become an independent territory until 1999
(ECCC, 2013; INAC, 2014). Although some provinces adopted more stringent
standards, the 100-year flood was used as the minimum criterion for the
FDRP, which resulted in the identification of 957 “designated flood risk
areas”, meaning those lands that are subject to recurrent and severe
flooding (ECCC, 2013).</p>
      <p id="d1e194">The FDRP differentiated between large-scale “engineering maps”, which
contained topographic contour lines and delineated floodplains for planning
purposes, and small-scale “public information maps”, which also contained
local features such as roads and buildings, as well as the extent of
historic flood events. The intergovernmental agreement specified that
provincial governments would direct municipalities to regulate or prohibit
development in designated areas, and both the federal and provincial
governments would refuse disaster assistance to these areas once the public
had been made aware of the hazard (de Loë and Wojtanowski, 2001; Page, 1980).</p>
      <p id="d1e198">Although the FDRP made flood risk more transparent, weak enforcement of
floodplain regulations and a general unwillingness among elected politicians
to refuse disaster assistance to designated areas prompted the government of
Canada to withdraw from the initiative in 1999 (Kumar et al., 2001;
de Loë, 2000). There has since been no similar intergovernmental effort to
identify high-risk lands and update flood maps, nor is there a national
repository of flood maps in Canada.</p>
      <p id="d1e201">In recent years, however, public officials have shown renewed interest in
updating existing flood maps and producing new maps to support disaster risk
reduction. In 2015, for instance, the government of Canada launched the
National Disaster Mitigation Program, a 5-year, CAD 200 million
initiative to (1) focus investments on significant, recurring flood risk and
costs and (2) facilitate private residential insurance for overland flooding
(Public Safety Canada, 2017). One of four funding streams pertains to flood
mapping, which permits provinces and territories to apply for support to
develop or modernize flood maps. Flood mapping funding has been allocated in
British Columbia, New Brunswick, and Ontario (Public Safety Canada, 2018a–c).</p>
      <?pagebreak page316?><p id="d1e204"><?xmltex \hack{\newpage}?>Moreover, in 2017 a flood mapping committee comprising six federal
departments, which was advised by a working group that included
representatives from provincial governments, industry, and academia,
released a Federal Floodplain Mapping Framework. Its core objective is to
“facilitate a common national best practice and increase the sharing and
use of flood hazard information” in order to generate a “comprehensive
understanding of hazard exposure in order to inform mitigation and
preventative measures” (Canada, 2017). Finally, a national roundtable
hosted by the federal minister of public safety in November 2017 brought
together representatives from all levels of government, Indigenous leaders,
insurers, non-government organizations, and academics to launch a formal
dialogue on flood risk, which identified current and accurate flood maps as
a central priority (Boyer, 2017).</p>
      <p id="d1e208">The starting point for any such effort, however, is a fulsome understanding
of the strengths and limitations of existing flood maps in order to identify
opportunities for improvement. A preliminary scan commissioned by the
government of Canada found that most flood maps in Canada are dated – with a
median age of 18 years – and that their availability is grossly uneven
across the 10 provinces (MMM Group Limited, 2014). This article seeks to
extend this analysis by evaluating the quality of publicly available flood
maps in Canada using internationally recognized principles of good practice.
The focus here is on flood maps that are freely and publicly accessible
online, given that “the dissemination of flood maps via the Internet is a
very important way of bringing flood information to the public” especially
as more people become accustomed to digital technologies (Hagemeier-Klose
and Wagner, 2009, p. 572). The next section outlines the methods and
analytical framework used to undertake the quality evaluation.</p>
</sec>
<sec id="Ch1.S4">
  <title>Methods</title>
      <p id="d1e217">This study involved four general phases. First, researchers gathered a list
of communities across Canada that are at high risk of flooding. Second, a
thorough online search was conducted to find maps that depict flood hazards
or flood risk in the selected communities. As discussed in detail below,
researchers scanned provincial, regional, and municipal government websites,
followed by a search using an online search engine. Third, a comprehensive
review of scholarly and grey literature was conducted to identify nine
binary criteria by which the quality of publicly accessible flood maps could
be evaluated. Finally, two researchers assessed each map using the selected
criteria. To generate a summary of findings, statistics were computed based
on the highest-ranking flood maps available for each community and its respective municipality.</p><?xmltex \hack{\newpage}?>
<sec id="Ch1.S4.SS1">
  <title>Community selection</title>
      <p id="d1e226">The communities selected for this study (Table 1) included the
957 designated flood risk areas compiled during the FDRP (ECCC, 2013). The FDRP
communities were suitable for the purposes of this research because (1) they
are known to be at high risk of flooding, (2) flood maps are more likely to
be available to the public in these communities, and (3) actions are likely
to have been taken by governments to reduce flood risk in these communities
(e.g., development regulations). Communities in Prince Edward Island, Yukon,
and Nunavut are not a part of the study area since these provinces and
territories did not participate in the FDRP.</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T1"><caption><p id="d1e232">Number and percentage of FDRP communities analyzed by province or territory.</p></caption><oasis:table frame="topbot"><?xmltex \begin{scaleboxenv}{.87}[.87]?><oasis:tgroup cols="4">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="right"/>
     <oasis:colspec colnum="3" colname="col3" align="right"/>
     <oasis:colspec colnum="4" colname="col4" align="center"/>
     <oasis:thead>
       <oasis:row>
         <oasis:entry colname="col1">Province/territory</oasis:entry>
         <oasis:entry colname="col2">Number</oasis:entry>
         <oasis:entry colname="col3">Number</oasis:entry>
         <oasis:entry colname="col4">Percent</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">of FDRP</oasis:entry>
         <oasis:entry colname="col3">of FDRP</oasis:entry>
         <oasis:entry colname="col4">analyzed</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">communities</oasis:entry>
         <oasis:entry colname="col3">communities</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">(total)</oasis:entry>
         <oasis:entry colname="col3">analyzed</oasis:entry>
         <oasis:entry colname="col4"/>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Alberta</oasis:entry>
         <oasis:entry colname="col2">16</oasis:entry>
         <oasis:entry colname="col3">4</oasis:entry>
         <oasis:entry colname="col4">25 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">British Columbia</oasis:entry>
         <oasis:entry colname="col2">216</oasis:entry>
         <oasis:entry colname="col3">86</oasis:entry>
         <oasis:entry colname="col4">40 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Manitoba</oasis:entry>
         <oasis:entry colname="col2">25</oasis:entry>
         <oasis:entry colname="col3">10</oasis:entry>
         <oasis:entry colname="col4">40 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">New Brunswick</oasis:entry>
         <oasis:entry colname="col2">84</oasis:entry>
         <oasis:entry colname="col3">35</oasis:entry>
         <oasis:entry colname="col4">42 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Newfoundland and Labrador</oasis:entry>
         <oasis:entry colname="col2">24</oasis:entry>
         <oasis:entry colname="col3">11</oasis:entry>
         <oasis:entry colname="col4">46 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Northwest Territories</oasis:entry>
         <oasis:entry colname="col2">10</oasis:entry>
         <oasis:entry colname="col3">5</oasis:entry>
         <oasis:entry colname="col4">50 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Nova Scotia</oasis:entry>
         <oasis:entry colname="col2">24</oasis:entry>
         <oasis:entry colname="col3">9</oasis:entry>
         <oasis:entry colname="col4">38 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Ontario</oasis:entry>
         <oasis:entry colname="col2">273</oasis:entry>
         <oasis:entry colname="col3">105</oasis:entry>
         <oasis:entry colname="col4">38 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Quebec</oasis:entry>
         <oasis:entry colname="col2">265</oasis:entry>
         <oasis:entry colname="col3">98</oasis:entry>
         <oasis:entry colname="col4">37 %</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Saskatchewan</oasis:entry>
         <oasis:entry colname="col2">20</oasis:entry>
         <oasis:entry colname="col3">6</oasis:entry>
         <oasis:entry colname="col4">30 %</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Total</oasis:entry>
         <oasis:entry colname="col2">957</oasis:entry>
         <oasis:entry colname="col3">369</oasis:entry>
         <oasis:entry colname="col4">39 %</oasis:entry>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup><?xmltex \end{scaleboxenv}?></oasis:table></table-wrap>

      <p id="d1e476">In order to create a dataset of manageable size, but maintain the validity
of the study's results, a random sample of 369 communities was drawn from
the complete list of 957 communities (95 % confidence interval; 4 %
margin of error). This list captured communities in all provinces and
territories that were part of the FDRP (Table 2). The final list of
communities was recorded in a database, with their corresponding designated
flood risk area, province, present-day municipality name (i.e., 2016 census
subdivisions as defined by Statistics Canada), and regional watershed
authority (in Ontario only).</p>

<?xmltex \floatpos{t}?><table-wrap id="Ch1.T2" specific-use="star"><caption><p id="d1e483">Map assessment criteria, examples, and scholarly references.</p></caption><oasis:table frame="topbot"><oasis:tgroup cols="3">
     <oasis:colspec colnum="1" colname="col1" align="left"/>
     <oasis:colspec colnum="2" colname="col2" align="left"/>
     <oasis:colspec colnum="3" colname="col3" align="left"/>
     <oasis:thead>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">Criterion</oasis:entry>
         <oasis:entry colname="col2">Description</oasis:entry>
         <oasis:entry colname="col3">Sources</oasis:entry>
       </oasis:row>
     </oasis:thead>
     <oasis:tbody>
       <oasis:row>
         <oasis:entry colname="col1">Personalized experience</oasis:entry>
         <oasis:entry colname="col2">enables users to find information specific to their</oasis:entry>
         <oasis:entry colname="col3">Kellens et al. (2009)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">property (e.g., postal code search to locate property</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">in relation to flood hazard)</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Local context</oasis:entry>
         <oasis:entry colname="col2">contains identifiable places or landmarks (e.g., major</oasis:entry>
         <oasis:entry colname="col3">Van Kerkvoorde et al. (2018)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">and minor roads, public buildings, neighbourhood</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">names) that help an individual visualize the likely</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">spatial extent of flooding</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Historical context</oasis:entry>
         <oasis:entry colname="col2">depictions of past flood events (e.g., photographs;</oasis:entry>
         <oasis:entry colname="col3">de Moel et al. (2009), Luke</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">victim testimonials) to help users understand</oasis:entry>
         <oasis:entry colname="col3">et al. (2018)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">potential impacts</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Legend legibility</oasis:entry>
         <oasis:entry colname="col2">clear explanation of lines, symbols, colours, and</oasis:entry>
         <oasis:entry colname="col3">EXCIMAP (2007), Fuchs et</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">terminology</oasis:entry>
         <oasis:entry colname="col3">al. (2009)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Flood zone legibility</oasis:entry>
         <oasis:entry colname="col2">easy for the user to distinguish the extents of the</oasis:entry>
         <oasis:entry colname="col3">Hagemeier-Klose and</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">flood hazard zone</oasis:entry>
         <oasis:entry colname="col3">Wagner (2009), Kellens et</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">al. (2009), Van Alphen et al.</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2"/>
         <oasis:entry colname="col3">(2009), Fuchs et al. (2009)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Explanation of technical</oasis:entry>
         <oasis:entry colname="col2">meaning of terms is understandable to a lay audience</oasis:entry>
         <oasis:entry colname="col3">Hagemeier-Klose and</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">terms</oasis:entry>
         <oasis:entry colname="col2">(e.g., properties in 20-year flood zone more likely to</oasis:entry>
         <oasis:entry colname="col3">Wagner (2009),</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">be flooded that those in a 100-year flood zone)</oasis:entry>
         <oasis:entry colname="col3">Meyer et al. (2012)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Risk reduction advice</oasis:entry>
         <oasis:entry colname="col2">paired with information about the consequences of</oasis:entry>
         <oasis:entry colname="col3">Merz et al. (2007), Meyer et</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">flooding and preventative or precautionary actions</oasis:entry>
         <oasis:entry colname="col3">al. (2012), Van Alphen et al.</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">that residents can take (e.g., install a backwater</oasis:entry>
         <oasis:entry colname="col3">(2009)</oasis:entry>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1"/>
         <oasis:entry colname="col2">valve, buy flood insurance)</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Transparency about</oasis:entry>
         <oasis:entry colname="col2">provides information about types of flooding</oasis:entry>
         <oasis:entry colname="col3">Merz et al. (2007)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">limitations and</oasis:entry>
         <oasis:entry colname="col2">depicted and/or potential exposure of areas adjacent</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row rowsep="1">
         <oasis:entry colname="col1">uncertainty</oasis:entry>
         <oasis:entry colname="col2">to the flood lines</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">Depiction of multiple</oasis:entry>
         <oasis:entry colname="col2">depicts all forms of flooding to which a property is</oasis:entry>
         <oasis:entry colname="col3">EA (2010)</oasis:entry>
       </oasis:row>
       <oasis:row>
         <oasis:entry colname="col1">flood hazards</oasis:entry>
         <oasis:entry colname="col2">exposed (e.g., coastal, riverine, and pluvial)</oasis:entry>
         <oasis:entry colname="col3"/>
       </oasis:row>
     </oasis:tbody>
   </oasis:tgroup></oasis:table></table-wrap>

      <p id="d1e828">Because some communities have changed their names and/or been amalgamated
with other communities since the time of the FDRP, we matched the
FDRP-designated communities with their present-day municipal boundaries. As
such, though the study area covers 369 FDRP-designated areas, these are
situated within 280 municipalities.</p>
</sec>
<sec id="Ch1.S4.SS2">
  <title>Online search</title>
      <p id="d1e837">Since they vary significantly in scope and content, a flood map was
defined operationally as one that
<list list-type="bullet"><list-item>
      <?pagebreak page317?><p id="d1e842">cartographically depicts flood-prone areas for at least part of the
community of interest;
<?xmltex \hack{\newpage}?></p></list-item><list-item>
      <p id="d1e847">labels flood-prone areas using terminology understandable to a lay audience
(e.g., floodplain, flood zone, flood hazard); and</p></list-item><list-item>
      <p id="d1e851">is published online as either a static image (e.g., PDF document, scanned
image, figure in a report) or dynamic interface (e.g., interactive web map).</p></list-item></list>
Researchers then sought out online flood maps for each of the
280 municipalities included in the study area. Individual online searches were
conducted for each municipality because there is no national repository of
flood maps in Canada, and there has been no coordinated effort among
regional and local governments to produce flood maps since the FDRP. For
each community, one researcher looked for flood maps by
<list list-type="bullet"><list-item>
      <p id="d1e857">using an online search engine to find the community's respective provincial,
municipal, and regional watershed authority website (as applicable);
<?xmltex \hack{\newpage}?></p></list-item><list-item>
      <p id="d1e862">searching these government websites using terms such as “flood”, “maps”,
“land use”, and “development plan”;</p></list-item><list-item>
      <p id="d1e866">seeking out missing maps through relevant departmental web pages, such as
public works, emergency response, planning and development, by-laws,
geographic information systems (GISs), and maps;</p></list-item><list-item>
      <p id="d1e870">conducting an additional Google search using both the municipality name and
“flood map” (e.g., “Calgary flood map”).</p></list-item></list>
As a quality check, a second researcher then reviewed the first researcher's
search and followed the same steps again. Once the map was found by either
researcher, its hyperlink was recorded in the database for its corresponding
community. If a flood map was not found by following the above steps, the
map was recorded as inaccessible to a lay audience. Some flood maps depicted
flood-prone areas in more than one community; in those cases, the same
hyperlink was recorded in the database under multiple communities.
Conversely, some communities had multiple flood maps in cases in which, for
example, both the provincial and municipal governments had produced and
published a flood map. In these cases, both maps were stored in the database
and assessed using the quality evaluation framework, but the results from
only the highest-quality map were retained for analysis and discussion. The
search for flood maps lasted for 6.5 weeks (18 June to 25 July 2018). We
are confident that these communities did not produce and publish maps within
the 6.5-week period (and were therefore miscoded as “inaccessible”)
because to our knowledge none of the four provinces in which these
communities are located (Saskatchewan, Nova Scotia, Ontario, and Manitoba)
had active mapping efforts underway at the time.</p>
</sec>
<?pagebreak page318?><sec id="Ch1.S4.SS3">
  <title>Quality evaluation framework</title>
      <p id="d1e880">Although there are several studies that assess the design of flood maps,
such as the most appropriate colour scheme for depicting floodplains (Seipel
and Lim, 2017), this study focused on key characteristics that international
scholars highlight as important for public risk communication. In this
context, the purpose of the map is to inform the public about flood risks
and motivate individuals to take precautionary actions (Hagemeier-Klose and
Wagner, 2009). Although some of the maps assessed for this study may not
have been created with this explicit objective, our interest was to assess
how well the maps that are currently available to Canadians living in
flood-prone areas inform them about flood risk.</p>
      <p id="d1e883">After conducting a scan of international literature, nine criteria were
identified for the quality assessment framework, including personalized
experience, local context, historical context, legend legibility, flood zone
legibility, explanation of technical terms, risk reduction advice,
transparency about flood modelling limitations, and depiction of multiple
flood hazards (Table 2). In combination, these characteristics make a flood
map more effective for risk communication because they identify an
individual property's flood risk, create relatable depictions of flood
impacts on communities (e.g., using photographs), assist users in
understanding the flood map and its limitations, and establish connections
between hazards and risk mitigation actions.</p>
</sec>
<sec id="Ch1.S4.SS4">
  <title>Quality assessment</title>
      <p id="d1e893">The completed database included 369 FDRP-designated communities and their
associated flood maps. Two researchers then divided these maps and evaluated
them using the evaluation framework discussed above. The flood map was
assigned a score of “1” for each criterion it met, and a score of “0” for
each criterion that was not met. For example, a map that used a distinct
colour to distinguish the flood-prone area from other areas received a
1 for the flood zone legibility criterion. If the map was part of a report
or was linked directly to additional resources (e.g., an interactive web map
with a “Help” link), then the associated resources were also considered in
the quality evaluation. Once the two researchers had completed their
individual assessments, they exchanged results and conducted random “spot
checks” to ensure quality control. As noted above, where multiple maps were
found for a community, only the map with the highest overall quality was
selected to represent the overall quality of flood maps for that community.</p>
</sec>
</sec>
<sec id="Ch1.S5">
  <title>Results</title>
      <p id="d1e904">The results described in this section focus on those communities that had
available flood maps. The evaluation results for the 369 FDRP-designated
communities are grouped by their respective present-day municipalities (<inline-formula><mml:math id="M2" display="inline"><mml:mrow><mml:mi>n</mml:mi><mml:mo>=</mml:mo><mml:mn mathvariant="normal">280</mml:mn></mml:mrow></mml:math></inline-formula>).</p>
<sec id="Ch1.S5.SS1">
  <title>Availability of flood maps</title>
      <p id="d1e924">After completing the online search, researchers found at least one flood map
for 239 of 280 municipalities (85 %) in the study area (Fig. 1). Flood
maps were not found for 41 municipalities (15 %) in the study area. Most
municipalities lacking available flood maps were in Ontario. In many of
those communities, researchers found maps that depicted development-regulated areas, but these did not meet the operational definition of
flood map outlined above (i.e., map did not clearly label flood-prone
areas using terminology understandable to a lay audience).</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F1" specific-use="star"><caption><p id="d1e929">Municipalities in the study area with available flood maps.</p></caption>
          <?xmltex \igopts{width=341.433071pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/19/313/2019/nhess-19-313-2019-f01.png"/>

        </fig>

</sec>
<sec id="Ch1.S5.SS2">
  <title>Quality of flood maps</title>
      <p id="d1e944">The evaluation found that flood maps in most municipalities (62 %) are low
quality – meeting less than 50 % of the criteria (i.e. score of <inline-formula><mml:math id="M3" display="inline"><mml:mrow><mml:mo>&lt;</mml:mo><mml:mn mathvariant="normal">4</mml:mn></mml:mrow></mml:math></inline-formula> out
of 9) – and are therefore ill-suited for communicating flood risk to
public audiences. Only 16 % of municipalities had access to a flood map
that met or exceeded five of the nine quality criteria. There were no flood
maps that met all of the evaluation criteria; the highest score was 78 % (seven out of nine).</p>
      <p id="d1e957">Figure 2 illustrates how different quality scores were assessed. For example,
it is possible to see the weaknesses of the flood map for Barriere, British
Columbia, particularly in how it is difficult to distinguish the extent of
the flood-prone area. The flood maps for Saint-Césaire, Quebec, show the
flood hazards, but include neither measures of the consequences of flooding
nor information on how residents could reduce their flood risk. The flood
map for Cox's Cove, Newfoundland, scored 78 % (seven out of nine) since it showed
local features (buildings and roads) vulnerable to flooding, historical
photos of past floods in Cox's Cove, explanation of what is meant by
“designated floodway”, but it was limited to depicting river floods.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F2" specific-use="star"><caption><p id="d1e962">Comparison of flood maps and associated quality scores.
<bold>(a)</bold> Barriere, British Columbia, score of 22 % (two out of nine) for including
a legend and limitations of flood modelling. <bold>(b)</bold> Saint-Césaire,
Quebec, score of 44 % (four out of nine) for including an address search, local context,
legend, and legible flood zone. <bold>(c)</bold> Cox's Cove, Newfoundland and
Labrador, score of 78 % (seven out of nine) for including identifiable buildings in the
community, local context, legend, historical photographs and description,
legible flood zone, explanation of technical terminology, and a brief
description about flood risk reduction at the property level (e.g., building a
barrier around a building).</p></caption>
          <?xmltex \igopts{width=497.923228pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/19/313/2019/nhess-19-313-2019-f02.png"/>

        </fig>

      <p id="d1e980">The municipalities with the highest-ranking flood maps were situated
primarily in the provinces of<?pagebreak page319?> Newfoundland and Labrador and New Brunswick.
Newfoundland and Labrador's flood maps were created during the FDRP and
ranked particularly high because the depictions of flood hazard were paired
with additional locally relevant information, such as photographs of
historical floods, the number of homes evacuated, the costs of flood damage,
and explanations of technical terms (e.g., 1-in-20-year flood). This
confirms that the evaluation criteria are not biased towards newer maps or
those generated with modern technologies (e.g., web GIS portal), but rather
privilege maps that include information to improve public understanding of
flood risk.</p>
</sec>
<sec id="Ch1.S5.SS3">
  <title>Characteristics of flood maps</title>
      <p id="d1e989">Individual characteristics of flood maps were analyzed to identify which
criteria were the most frequent (Fig. 3). In summary, residents of
flood-prone municipalities typically have access to flood maps that include
(1) a legible legend, (2) a legible flood zone, and (3) local contextual
features, such as road names and neighbourhood names.</p>

      <?xmltex \floatpos{t}?><fig id="Ch1.F3" specific-use="star"><caption><p id="d1e994">Characteristics of flood maps available to municipalities.</p></caption>
          <?xmltex \igopts{width=369.885827pt}?><graphic xlink:href="https://nhess.copernicus.org/articles/19/313/2019/nhess-19-313-2019-f03.png"/>

        </fig>

      <p id="d1e1003">By contrast, less than 45 % of municipalities have access to a flood map
that would enable residents to identify their individual property relative
to the flood hazard. For example, despite ranking high overall, several
flood maps available to Newfoundland and Labrador communities depicted
general flood risk for the community, rather than identifying individual
property parcels (Fig. 2). Similarly, only a small proportion of available
flood maps (21 %) were paired with information that would assist a user in
understanding the technical terminology such as 100-year flood and floodplain.</p>
      <p id="d1e1006">Few flood maps (14 %) included information that would engender an
emotional response to flood risks among<?pagebreak page320?> residents, such as photographs of
past floods or testimonials from past flood victims, which would make them
more likely to understand their risk. Even fewer (5 %) connected the flood
hazards portrayed on the map to actions residents could take to reduce flood
impacts. Finally, only nine municipalities (3 %) had access to a map that
depicted multiple flood hazards. All of these maps were published by
Ontario's conservation authorities and they depicted both coastal (lake)
flood hazards and riverine floodplains. Most maps found for the 280
municipalities depicted only riverine floodplains, whereas none of the maps
we evaluated included information on risks from stormwater.</p>
</sec>
</sec>
<sec id="Ch1.S6">
  <title>Discussion</title>
      <p id="d1e1016">The availability of flood maps in high-risk Canadian communities is poor.
Unlike other countries such as the United Kingdom, Canada lacks a central
portal through which the public can access flood map information. Instead,
flood maps are located on many different government websites, and there is
inconsistency from one province to another. For example, in Alberta, New
Brunswick, and Quebec, flood maps for many communities could be found in one
central location, such as a provincial web GIS portal, but even in these
cases, maps for individual communities and properties were difficult to find.</p>
      <p id="d1e1019">Riverine flood maps in British Columbia are posted on a provincial
government website that groups flood maps according to regions (e.g.,
Vancouver Island) and designated floodplains (e.g., Cowichan River, Nanaimo
River). Links on this base map then direct users to a map series index where
individual flood maps can be accessed. To find a flood map for a specific
community, however, users must identify their respective designated area and
then look through a map series index to find their community, an effort that
few individuals would be likely to expend.</p>
      <p id="d1e1022"><?xmltex \hack{\newpage}?>Broader information access barriers experienced by the researchers included
(1) difficulties finding flood extents in web GIS applications (i.e., layer
turned off by default or only visible when zoomed in), (2) long load and
refresh times for web applications, and (3) web applications developed with
outdated software (e.g., Silverlight) that cannot be processed by modern web browsers.</p>
      <p id="d1e1026">The quality of flood maps in high-risk Canadian communities is also poor.
Scholarly literature distinguishes between flood maps created for
experts and for lay users/non-experts (EXCIMAP, 2007; Van Kerkvoorde
et al., 2018). With prior knowledge of hydrology and engineering, for
instance, expert users of a flood map can “handle more complex tools” and
typically demand more detailed information (Van Kerkvoorde et al., 2018,
p. 62). By contrast, lay users require a simpler, more intuitive flood map.
Most flood maps available to the public in Canada's most flood-prone
communities are more suited for expert audiences than for lay users. For
instance, publicly accessible flood maps typically depict riverine
floodplains and use technical terms (e.g., return periods) without providing
explanations. Although these maps might be useful for experts who would
understand their limitations, they are not suitable for enabling citizens to
understand their disaster risk.</p>
      <p id="d1e1030">Historically, flood maps meant for public use were created to raise
awareness about floods and encourage acceptance of government initiatives,
such as the establishment of regulated floodplains (Handmer, 1980). Today,
by contrast, governments are increasingly interested in shifting some
responsibility for flood risk management to the public by, for example,
encouraging their uptake of private flood insurance and installation of
private flood protection measures (Thistlethwaite et al., 2018). Such risk
transfer policies are often motivated by declining budgets for structural
protections, and increasing risk awareness through information is<?pagebreak page321?> an
essential prerequisite for their success (Holub and Fuchs, 2009). In most
of the municipalities we analyzed, however, maps did not depict
property-level flood risk or offer advice as to how property owners could
reduce their risk. This highlights a strategic policy imperative for Canada:
to create maps that are explicitly designed to foster public understanding
of flood risks. Such maps must be compelling (i.e., property-specific, set
in historical context), understandable (i.e., contextually appropriate,
legible, transparent), and actionable (i.e., paired with risk reduction advice).</p>
</sec>
<sec id="Ch1.S7" sec-type="conclusions">
  <title>Conclusion</title>
      <p id="d1e1039">One of the key principles of disaster risk reduction, as articulated through
the Sendai Framework, is that stakeholders and the public must first
understand their disaster risk, as a prerequisite to reducing the damage
caused by natural hazards. With this in mind, our study sought to assess the
suitability of existing flood maps as tools for communicating risk to the
public. Specifically, we assessed the availability and quality of
publicly accessible, online flood maps in Canada's most flood-prone
communities, namely those designated under the Flood Damage Reduction
Program as being subject to recurrent and severe flooding.</p>
      <p id="d1e1042">Among the 280 municipalities targeted for analysis (which represented 369
FDRP-designated areas), 85 % had flood maps available online. However,
many of these maps were difficult to locate and most were found to be
generally unsuitable for risk communication purposes. Most lacked
characteristics that would assist users in understanding information
depicted on the map, such as explanations of technical terms and modelling
limitations, and few included features that might motivate protective
responses, such as photographs of historical floods, potential consequences
for property owners, and multiple types of flooding.</p>
      <p id="d1e1045">As governments look to increase public involvement in flood risk management,
greater effort will be required to effectively communicate flood risk to the
public. Flood maps play a significant role in this effort, but questions
remain about what these maps should contain and how they should be made
accessible. As evidenced in countries such as Austria, Belgium, Germany,
France, and the United Kingdom, surveys or focus groups could be useful
tools for determining user preferences concerning map design options, such
as colours, scale, terminology, and so on (Meyer et al., 2012; Van Kerkvoorde
et al., 2018). A further consideration is who should produce and
maintain flood maps to ensure their completeness, quality, and currency. A
decentralized approach, as in Canada, can result in considerable variation
in the quality of flood maps from one community to another, and this raises
questions about equity when national or regional flood risk management
policies expect more responsibility to be shouldered by individuals.</p>
      <p id="d1e1048"><?xmltex \hack{\newpage}?>The evaluation framework used in this study represents a first attempt to
assess the quality of flood maps in Canada in order to identify their key
strengths and limitations. Future research might involve weighting the
various quality criteria based on feedback from lay users. Moreover, in
light of the barriers faced by the research team in accessing flood maps, it
would be valuable to survey individuals to explore whether and how they seek
out flood maps or flood risk information, and how to make it more easily
accessible. Finally, whereas in the past it was not feasible to present the
public with detailed, property-level flood risk data, modern technology and
data intensive applications now allow for this functionality, and this is an
opportunity for governments to provide meaningful information to support the
public in disaster risk reduction.</p>
</sec>

      
      </body>
    <back><notes notes-type="dataavailability">

      <p id="d1e1056">Data for this study can be found in the Supplement.</p>
  </notes><app-group>
        <supplementary-material position="anchor"><p id="d1e1059">The supplement related to this article is available online at: <inline-supplementary-material xlink:href="https://doi.org/10.5194/nhess-19-313-2019-supplement" xlink:title="pdf">https://doi.org/10.5194/nhess-19-313-2019-supplement</inline-supplementary-material>.</p></supplementary-material>
        </app-group><notes notes-type="authorcontribution">

      <p id="d1e1068">DH performed background research, co-wrote the literature
review and analytical framework, and completed the revisions. AM designed the
map evaluation criteria, collected the maps, organized the database, and
co-supervised the research assistants. JT performed background research,
co-wrote the literature review and analytical framework, and co-supervised
the research assistants.</p>
  </notes><notes notes-type="competinginterests">

      <p id="d1e1074">The authors declare that they have no conflict of interest.</p>
  </notes><ack><title>Acknowledgements</title><p id="d1e1080">The authors gratefully acknowledge the helpful comments and suggestions of
the editor and two reviewers, which improved the paper significantly.
The authors would like to thank Sarah Wilkinson and Jordan Blake for their
assistance in finding and coding the maps. This research was conducted with
funding from the Social Sciences and Humanities Research Council of Canada
and the Marine Environmental Observation Prediction and Response (MEOPAR) Network. <?xmltex \hack{\newline}?><?xmltex \hack{\newline}?>
Edited by: Kai Schröter <?xmltex \hack{\newline}?>
Reviewed by: Michael Nones and Sven Fuchs</p></ack><?xmltex \hack{\newpage}?><?xmltex \hack{\newpage}?><ref-list>
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  </ref-list></back>
    <!--<article-title-html>Communicating disaster risk? An evaluation of the  availability and quality of flood maps</article-title-html>
<abstract-html><p>One of the key priorities for disaster risk reduction is to ensure
decision makers, stakeholders, and the public understand their exposure to
disaster risk, so that they can take protective action. Flood maps are a
potentially valuable tool for facilitating this understanding of flood risk,
but previous research has found that they vary considerably in availability
and quality. Using an evaluation framework comprising nine criteria grounded
in existing scholarship, this study assessed the quality of flood maps
available to the public in Canadian communities located in designated flood
risk areas. It found that flood maps in most municipalities (62&thinsp;%) are
low quality (meeting less than 50&thinsp;% of the criteria) and the highest score
was 78&thinsp;% (seven of nine criteria met). The findings suggest that a more concerted
effort to produce high-quality, publicly accessible flood maps is required to
support Canada's international commitment to disaster risk reduction. Further
questions surround possible weighting of quality assessment criteria, whether
and how individuals seek out flood maps, and how flood risk information could
be better communicated using modern technology.</p></abstract-html>
<ref-html id="bib1.bib1"><label>1</label><mixed-citation>
Albano, R., Mancusi, L., and Abbate, A.: Improving flood risk analysis for
effectively supporting the implementation of flood risk management plans: The
case study of “Serio” Valley, Environ. Sci. Policy, 75, 158–172,
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