Articles | Volume 21, issue 8
https://doi.org/10.5194/nhess-21-2581-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2581-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
CHILDA – Czech Historical Landslide Database
CDV – Transport Research Centre, Brno, 636 00, Czechia
Pavel Raška
Department of Geography, J. E. Purkyně University,
Ústí nad Labem, Czechia
Lukáš Dolák
Department of Geography, Masaryk University, Brno, Czechia
Global Change Research Institute of the Czech Academy of Sciences,
Brno, Czechia
Jan Kubeček
CDV – Transport Research Centre, Brno, 636 00, Czechia
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Zdeněk Stachoň, Petr Kubíček, Lukáš Dolák, Radim Štampach, and Jan Řehoř
Abstr. Int. Cartogr. Assoc., 7, 163, https://doi.org/10.5194/ica-abs-7-163-2024, https://doi.org/10.5194/ica-abs-7-163-2024, 2024
Rudolf Brázdil, Petr Zahradník, Péter Szabó, Kateřina Chromá, Petr Dobrovolný, Lukáš Dolák, Miroslav Trnka, Jan Řehoř, and Silvie Suchánková
Clim. Past, 18, 2155–2180, https://doi.org/10.5194/cp-18-2155-2022, https://doi.org/10.5194/cp-18-2155-2022, 2022
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Bark beetle outbreaks are important disturbances to Norway spruce forests. Their meteorological and climatological triggers are analysed for the main oubreaks over the territory of the Czech Republic based on newly created series of such outbreaks, covering the 1781–2021 CE period. The paper demonstrates the shift from windstorms as the main meteorological triggers of past outbreaks to effects of high temperatures and droughts together with windstorms in past decades.
Rudolf Brázdil, Kateřina Chromá, Lukáš Dolák, Jan Řehoř, Ladislava Řezníčková, Pavel Zahradníček, and Petr Dobrovolný
Nat. Hazards Earth Syst. Sci., 21, 1355–1382, https://doi.org/10.5194/nhess-21-1355-2021, https://doi.org/10.5194/nhess-21-1355-2021, 2021
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We present an analysis of fatalities attributable to weather conditions in the Czech Republic during the 2000–2019 period based on our own database created from newspaper reports, on the database of the Czech Statistical Office, and on the database of the police of the Czech Republic as well as on their comparison. Despite some uncertainties, generally declining trends in the number of fatalities appear for the majority of weather variables. The structure of fatalities is described in detail.
Rudolf Brázdil, Gaston R. Demarée, Andrea Kiss, Petr Dobrovolný, Kateřina Chromá, Miroslav Trnka, Lukáš Dolák, Ladislava Řezníčková, Pavel Zahradníček, Danuta Limanowka, and Sylvie Jourdain
Clim. Past, 15, 1861–1884, https://doi.org/10.5194/cp-15-1861-2019, https://doi.org/10.5194/cp-15-1861-2019, 2019
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The paper presents analysis of the 1842 drought in Europe (except the Mediterranean) based on documentary data and instrumental records. First the meteorological background of this drought is shown (seasonal distribution of precipitation, annual variation of temperature, precipitation and drought indices, synoptic reasons) and effects of drought on water management, agriculture, and in society are described in detail with particular attention to human responses.
Rudolf Brázdil, Hubert Valášek, Kateřina Chromá, Lukáš Dolák, Ladislava Řezníčková, Monika Bělínová, Adam Valík, and Pavel Zahradníček
Clim. Past, 15, 1205–1222, https://doi.org/10.5194/cp-15-1205-2019, https://doi.org/10.5194/cp-15-1205-2019, 2019
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The paper analyses a weather diary of the Reverend Šimon Hausner from Buchlovice in south-east Moravia, Czech Republic, in the 1803–1831 period. From daily weather records, series of numbers of precipitation days, cloudiness, strong winds, fogs, and thunderstorms were created. These records were further used to interpret weighted temperature and precipitation indices. Records of Šimon Hausner represent an important contribution to the study of climate fluctuations on the central European scale.
Rudolf Brázdil, Petr Dobrovolný, Miroslav Trnka, Ladislava Řezníčková, Lukáš Dolák, and Oldřich Kotyza
Clim. Past, 15, 1–24, https://doi.org/10.5194/cp-15-1-2019, https://doi.org/10.5194/cp-15-1-2019, 2019
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The paper analyses extreme droughts of the pre-instrumental period (1501–1803) over the territory of the recent Czech Republic. In total, 16 droughts were selected for spring, summer and autumn each and 14 droughts for summer half-year (Apr–Sep). They are characterized by very low values of drought indices, high temperatures, low precipitation and by the influence of high-pressure situations. Selected extreme droughts are described in more detail. Effect of droughts on grain prices are studied.
Rudolf Brázdil, Ladislava Řezníčková, Hubert Valášek, Lukáš Dolák, and Oldřich Kotyza
Clim. Past, 12, 1361–1374, https://doi.org/10.5194/cp-12-1361-2016, https://doi.org/10.5194/cp-12-1361-2016, 2016
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The paper deals with climatic and human impacts of the strong Tambora (Indonesia) volcanic eruption in April 1815 over the Czech Lands territory based on analysis of documentary data and instrumental records. While climatic effects were related particularly to summers 1815 and 1816 (1816 is known as "a Year Without Summer"), quite important were societal impacts represented after bad harvest by steep increase in prices and shortages of food.
R. Brázdil, K. Chromá, L. Řezníčková, H. Valášek, L. Dolák, Z. Stachoň, E. Soukalová, and P. Dobrovolný
Hydrol. Earth Syst. Sci., 18, 3873–3889, https://doi.org/10.5194/hess-18-3873-2014, https://doi.org/10.5194/hess-18-3873-2014, 2014
Related subject area
Databases, GIS, Remote Sensing, Early Warning Systems and Monitoring Technologies
Insights into the development of a landslide early warning system prototype in an informal settlement: the case of Bello Oriente in Medellín, Colombia
AscDAMs: Advanced SLAM-based channel detection and mapping system
Exploring drought hazard, vulnerability, and related impacts to agriculture in Brandenburg
Tsunami hazard perception and knowledge of alert: early findings in five municipalities along the French Mediterranean coastlines
Exploiting radar polarimetry for nowcasting thunderstorm hazards using deep learning
Shoreline and Land Use Land Cover Changes along the 2004 tsunami-affected South Andaman Coast: Understanding Changing Hazard Susceptibility
Machine-learning-based nowcasting of the Vögelsberg deep-seated landslide: why predicting slow deformation is not so easy
Fixed photogrammetric systems for natural hazard monitoring with high spatio-temporal resolution
A neural network model for automated prediction of avalanche danger level
Brief communication: Landslide activity on the Argentinian Santa Cruz River mega dam works confirmed by PSI DInSAR
Impact of topography on in situ soil wetness measurements for regional landslide early warning – a case study from the Swiss Alpine Foreland
Earthquake building damage detection based on synthetic-aperture-radar imagery and machine learning
Assessing riverbank erosion in Bangladesh using time series of Sentinel-1 radar imagery in the Google Earth Engine
Quantifying unequal urban resilience to rainfall across China from location-aware big data
Comparison of machine learning techniques for reservoir outflow forecasting
Development of black ice prediction model using GIS-based multi-sensor model validation
Forecasting vegetation condition with a Bayesian auto-regressive distributed lags (BARDL) model
A dynamic hierarchical Bayesian approach for forecasting vegetation condition
Using a single remote-sensing image to calculate the height of a landslide dam and the maximum volume of a lake
Enhancing disaster risk resilience using greenspace in urbanising Quito, Ecuador
Gridded flood depth estimates from satellite-derived inundations
ProbFire: a probabilistic fire early warning system for Indonesia
Index establishment and capability evaluation of space–air–ground remote sensing cooperation in geohazard emergency response
Brief communication: Monitoring a soft-rock coastal cliff using webcams and strain sensors
Multiscale analysis of surface roughness for the improvement of natural hazard modelling
EUNADICS-AV early warning system dedicated to supporting aviation in the case of a crisis from natural airborne hazards and radionuclide clouds
Are sirens effective tools to alert the population in France?
UAV survey method to monitor and analyze geological hazards: the case study of the mud volcano of Villaggio Santa Barbara, Caltanissetta (Sicily)
Timely prediction potential of landslide early warning systems with multispectral remote sensing: a conceptual approach tested in the Sattelkar, Austria
Review article: Detection of actionable tweets in crisis events
Long-term magnetic anomalies and their possible relationship to the latest greater Chilean earthquakes in the context of the seismo-electromagnetic theory
HazMapper: a global open-source natural hazard mapping application in Google Earth Engine
Opportunities and risks of disaster data from social media: a systematic review of incident information
Online urban-waterlogging monitoring based on a recurrent neural network for classification of microblogging text
Predicting power outages caused by extratropical storms
Near-real-time automated classification of seismic signals of slope failures with continuous random forests
Assessing the accuracy of remotely sensed fire datasets across the southwestern Mediterranean Basin
Responses to severe weather warnings and affective decision-making
The object-specific flood damage database HOWAS 21
A spaceborne SAR-based procedure to support the detection of landslides
GIS-based DRASTIC and composite DRASTIC indices for assessing groundwater vulnerability in the Baghin aquifer, Kerman, Iran
Review article: The spatial dimension in the assessment of urban socio-economic vulnerability related to geohazards
Design and implementation of a mobile device app for network-based earthquake early warning systems (EEWSs): application to the PRESTo EEWS in southern Italy
CCAF-DB: the Caribbean and Central American active fault database
Evaluation of a combined drought indicator and its potential for agricultural drought prediction in southern Spain
Study on real-time correction of site amplification factor
Three-dimensional rockfall shape back analysis: methods and implications
Effects of high-resolution geostationary satellite imagery on the predictability of tropical thunderstorms over Southeast Asia
InSAR technique applied to the monitoring of the Qinghai–Tibet Railway
Understanding the spatiotemporal development of human settlement in hurricane-prone areas on the US Atlantic and Gulf coasts using nighttime remote sensing
Christian Werthmann, Marta Sapena, Marlene Kühnl, John Singer, Carolina Garcia, Tamara Breuninger, Moritz Gamperl, Bettina Menschik, Heike Schäfer, Sebastian Schröck, Lisa Seiler, Kurosch Thuro, and Hannes Taubenböck
Nat. Hazards Earth Syst. Sci., 24, 1843–1870, https://doi.org/10.5194/nhess-24-1843-2024, https://doi.org/10.5194/nhess-24-1843-2024, 2024
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Early warning systems (EWSs) promise to decrease the vulnerability of self-constructed (informal) settlements. A living lab developed a partially functional prototype of an EWS for landslides in a Medellín neighborhood. The first findings indicate that technical aspects can be manageable, unlike social and political dynamics. A resilient EWS for informal settlements has to achieve sufficient social and technical redundancy to maintain basic functionality in a reduced-support scenario.
Tengfei Wang, Fucheng Lu, Jintao Qin, Taosheng Huang, Hui Kong, and Ping Shen
EGUsphere, https://doi.org/10.48550/arXiv.2401.13877, https://doi.org/10.48550/arXiv.2401.13877, 2024
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The harsh environment limits the use of drone, satellite, and simultaneous localization and mapping technology to obtain precise channel morphology data. We propose AscDAMs, which include a deviation correction algorithm to reduce errors, a point cloud smoothing algorithm to diminish noise, and a cross section extraction algorithm to quantitatively assess the morphology data. AscDAMs solve the problems and provide researchers with more reliable channel morphology data for further analysis.
Fabio Brill, Pedro Henrique Lima Alencar, Huihui Zhang, Friedrich Boeing, Silke Hüttel, and Tobia Lakes
EGUsphere, https://doi.org/10.5194/egusphere-2024-1149, https://doi.org/10.5194/egusphere-2024-1149, 2024
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Droughts are a threat to agricultural crops, but different factors influence how much damage occurs. This is important to know to create meaningful risk maps and to evaluate adaptation options. We investigate the years 2013–2022 in Brandenburg, Germany, and find in particular the soil quality and meteorological drought in June to be statistically related to the observed damage. Measurement of crop health from satellites are also related to soil quality, and not necessarily to anomalous yields.
Johnny Douvinet, Noé Carles, Pierre Foulquier, and Matthieu Peroche
Nat. Hazards Earth Syst. Sci., 24, 715–735, https://doi.org/10.5194/nhess-24-715-2024, https://doi.org/10.5194/nhess-24-715-2024, 2024
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This study provided an opportunity to assess both the perception of the tsunami hazard and the knowledge of alerts in five municipalities located along the French Mediterranean coastlines. The age and location of the respondents explain several differences between the five municipalities surveyed – more so than gender or residence status. This study may help local authorities to develop future tsunami awareness actions and to identify more appropriate strategies to be applied in the short term.
Nathalie Rombeek, Jussi Leinonen, and Ulrich Hamann
Nat. Hazards Earth Syst. Sci., 24, 133–144, https://doi.org/10.5194/nhess-24-133-2024, https://doi.org/10.5194/nhess-24-133-2024, 2024
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Severe weather such as hail, lightning, and heavy rainfall can be hazardous to humans and property. Dual-polarization weather radars provide crucial information to forecast these events by detecting precipitation types. This study analyses the importance of dual-polarization data for predicting severe weather for 60 min using an existing deep learning model. The results indicate that including these variables improves the accuracy of predicting heavy rainfall and lightning.
Vikas Ghadamode, K. Kumari Aruna, Anand K. Pandey, and Kirti Srivastava
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-191, https://doi.org/10.5194/nhess-2023-191, 2024
Revised manuscript accepted for NHESS
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In the 2004-Tsunami affected southern Andaman region tsunami wave propagation, arrival times, and run-up heights at 13 locations are computed to analyse pre- and post-tsunami shoreline and LULC changes to understand the evolving hazard scenario. The LULC changes and dynamic shoreline changes are observed in Zones 3, 4, and 5 owing to dynamic population changes, infrastructural growth, and Gross State Domestic Product growth. Economic losses would increase five-fold foa a similar tsunami.
Adriaan L. van Natijne, Thom A. Bogaard, Thomas Zieher, Jan Pfeiffer, and Roderik C. Lindenbergh
Nat. Hazards Earth Syst. Sci., 23, 3723–3745, https://doi.org/10.5194/nhess-23-3723-2023, https://doi.org/10.5194/nhess-23-3723-2023, 2023
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Landslides are one of the major weather-related geohazards. To assess their potential impact and design mitigation solutions, a detailed understanding of the slope is required. We tested if the use of machine learning, combined with satellite remote sensing data, would allow us to forecast deformation. Our results on the Vögelsberg landslide, a deep-seated landslide near Innsbruck, Austria, show that the formulation of such a machine learning system is not as straightforward as often hoped for.
Xabier Blanch, Marta Guinau, Anette Eltner, and Antonio Abellan
Nat. Hazards Earth Syst. Sci., 23, 3285–3303, https://doi.org/10.5194/nhess-23-3285-2023, https://doi.org/10.5194/nhess-23-3285-2023, 2023
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We present cost-effective photogrammetric systems for high-resolution rockfall monitoring. The paper outlines the components, assembly, and programming codes required. The systems utilize prime cameras to generate 3D models and offer comparable performance to lidar for change detection monitoring. Real-world applications highlight their potential in geohazard monitoring which enables accurate detection of pre-failure deformation and rockfalls with a high temporal resolution.
Vipasana Sharma, Sushil Kumar, and Rama Sushil
Nat. Hazards Earth Syst. Sci., 23, 2523–2530, https://doi.org/10.5194/nhess-23-2523-2023, https://doi.org/10.5194/nhess-23-2523-2023, 2023
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Snow avalanches are a natural hazard that can cause danger to human lives. This threat can be reduced by accurate prediction of the danger levels. The development of mathematical models based on past data and present conditions can help to improve the accuracy of prediction. This research aims to develop a neural-network-based model for correlating complex relationships between the meteorological variables and the profile variables.
Guillermo Tamburini-Beliveau, Sebastián Balbarani, and Oriol Monserrat
Nat. Hazards Earth Syst. Sci., 23, 1987–1999, https://doi.org/10.5194/nhess-23-1987-2023, https://doi.org/10.5194/nhess-23-1987-2023, 2023
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Landslides and ground deformation associated with the construction of a hydropower mega dam in the Santa Cruz River in Argentine Patagonia have been monitored using radar and optical satellite data, together with the analysis of technical reports. This allowed us to assess the integrity of the construction, providing a new and independent dataset. We have been able to identify ground deformation trends that put the construction works at risk.
Adrian Wicki, Peter Lehmann, Christian Hauck, and Manfred Stähli
Nat. Hazards Earth Syst. Sci., 23, 1059–1077, https://doi.org/10.5194/nhess-23-1059-2023, https://doi.org/10.5194/nhess-23-1059-2023, 2023
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Soil wetness measurements are used for shallow landslide prediction; however, existing sites are often located in flat terrain. Here, we assessed the ability of monitoring sites at flat locations to detect critically saturated conditions compared to if they were situated at a landslide-prone location. We found that differences exist but that both sites could equally well distinguish critical from non-critical conditions for shallow landslide triggering if relative changes are considered.
Anirudh Rao, Jungkyo Jung, Vitor Silva, Giuseppe Molinario, and Sang-Ho Yun
Nat. Hazards Earth Syst. Sci., 23, 789–807, https://doi.org/10.5194/nhess-23-789-2023, https://doi.org/10.5194/nhess-23-789-2023, 2023
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This article presents a framework for semi-automated building damage assessment due to earthquakes from remote-sensing data and other supplementary datasets including high-resolution building inventories, while also leveraging recent advances in machine-learning algorithms. For three out of the four recent earthquakes studied, the machine-learning framework is able to identify over 50 % or nearly half of the damaged buildings successfully.
Jan Freihardt and Othmar Frey
Nat. Hazards Earth Syst. Sci., 23, 751–770, https://doi.org/10.5194/nhess-23-751-2023, https://doi.org/10.5194/nhess-23-751-2023, 2023
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In Bangladesh, riverbank erosion occurs every year during the monsoon and affects thousands of households. Information on locations and extent of past erosion can help anticipate where erosion might occur in the upcoming monsoon season and to take preventive measures. In our study, we show how time series of radar satellite imagery can be used to retrieve information on past erosion events shortly after the monsoon season using a novel interactive online tool based on the Google Earth Engine.
Jiale Qian, Yunyan Du, Jiawei Yi, Fuyuan Liang, Nan Wang, Ting Ma, and Tao Pei
Nat. Hazards Earth Syst. Sci., 23, 317–328, https://doi.org/10.5194/nhess-23-317-2023, https://doi.org/10.5194/nhess-23-317-2023, 2023
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Human activities across China show a similar trend in response to rains. However, urban resilience varies significantly by region. The northwestern arid region and the central underdeveloped areas are very fragile, and even low-intensity rains can trigger significant human activity anomalies. By contrast, even high-intensity rains might not affect residents in the southeast.
Orlando García-Feal, José González-Cao, Diego Fernández-Nóvoa, Gonzalo Astray Dopazo, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 22, 3859–3874, https://doi.org/10.5194/nhess-22-3859-2022, https://doi.org/10.5194/nhess-22-3859-2022, 2022
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Extreme events have increased in the last few decades; having a good estimation of the outflow of a reservoir can be an advantage for water management or early warning systems. This study analyzes the efficiency of different machine learning techniques to predict reservoir outflow. The results obtained showed that the proposed models provided a good estimation of the outflow of the reservoirs, improving the results obtained with classical approaches.
Seok Bum Hong, Hong Sik Yun, Sang Guk Yum, Seung Yeop Ryu, In Seong Jeong, and Jisung Kim
Nat. Hazards Earth Syst. Sci., 22, 3435–3459, https://doi.org/10.5194/nhess-22-3435-2022, https://doi.org/10.5194/nhess-22-3435-2022, 2022
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This study advances previous models through machine learning and multi-sensor-verified results. Using spatial and meteorological data from the study area (Suncheon–Wanju Highway in Gurye-gun), the amount and location of black ice were modelled based on system dynamics to predict black ice and then simulated with the geographic information system (m2). Based on the model results, multiple sensors were buried at four selected points in the study area, and the model was compared with sensor data.
Edward E. Salakpi, Peter D. Hurley, James M. Muthoka, Adam B. Barrett, Andrew Bowell, Seb Oliver, and Pedram Rowhani
Nat. Hazards Earth Syst. Sci., 22, 2703–2723, https://doi.org/10.5194/nhess-22-2703-2022, https://doi.org/10.5194/nhess-22-2703-2022, 2022
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The devastating effects of recurring drought conditions are mostly felt by pastoralists that rely on grass and shrubs as fodder for their animals. Using historical information from precipitation, soil moisture, and vegetation health data, we developed a model that can forecast vegetation condition and the probability of drought occurrence up till a 10-week lead time with an accuracy of 74 %. Our model can be adopted by policymakers and relief agencies for drought early warning and early action.
Edward E. Salakpi, Peter D. Hurley, James M. Muthoka, Andrew Bowell, Seb Oliver, and Pedram Rowhani
Nat. Hazards Earth Syst. Sci., 22, 2725–2749, https://doi.org/10.5194/nhess-22-2725-2022, https://doi.org/10.5194/nhess-22-2725-2022, 2022
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The impact of drought may vary in a given region depending on whether it is dominated by trees, grasslands, or croplands. The differences in impact can also be the agro-ecological zones within the region. This paper proposes a hierarchical Bayesian model (HBM) for forecasting vegetation condition in spatially diverse areas. Compared to a non-hierarchical model, the HBM proved to be a more natural method for forecasting drought in areas with different land covers and
agro-ecological zones.
Weijie Zou, Yi Zhou, Shixin Wang, Futao Wang, Litao Wang, Qing Zhao, Wenliang Liu, Jinfeng Zhu, Yibing Xiong, Zhenqing Wang, and Gang Qin
Nat. Hazards Earth Syst. Sci., 22, 2081–2097, https://doi.org/10.5194/nhess-22-2081-2022, https://doi.org/10.5194/nhess-22-2081-2022, 2022
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Landslide dams are secondary disasters caused by landslides, which can cause great damage to mountains. We have proposed a procedure to calculate the key parameters of these dams that uses only a single remote-sensing image and a pre-landslide DEM combined with landslide theory. The core of this study is a modeling problem. We have found the bridge between the theory of landslide dams and the requirements of disaster relief.
C. Scott Watson, John R. Elliott, Susanna K. Ebmeier, María Antonieta Vásquez, Camilo Zapata, Santiago Bonilla-Bedoya, Paulina Cubillo, Diego Francisco Orbe, Marco Córdova, Jonathan Menoscal, and Elisa Sevilla
Nat. Hazards Earth Syst. Sci., 22, 1699–1721, https://doi.org/10.5194/nhess-22-1699-2022, https://doi.org/10.5194/nhess-22-1699-2022, 2022
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We assess how greenspaces could guide risk-informed planning and reduce disaster risk for the urbanising city of Quito, Ecuador, which experiences earthquake, volcano, landslide, and flood hazards. We use satellite data to evaluate the use of greenspaces as safe spaces following an earthquake. We find disparities regarding access to and availability of greenspaces. The availability of greenspaces that could contribute to community resilience is high; however, many require official designation.
Seth Bryant, Heather McGrath, and Mathieu Boudreault
Nat. Hazards Earth Syst. Sci., 22, 1437–1450, https://doi.org/10.5194/nhess-22-1437-2022, https://doi.org/10.5194/nhess-22-1437-2022, 2022
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The advent of new satellite technologies improves our ability to study floods. While the depth of water at flooded buildings is generally the most important variable for flood researchers, extracting this accurately from satellite data is challenging. The software tool presented here accomplishes this, and tests show the tool is more accurate than competing tools. This achievement unlocks more detailed studies of past floods and improves our ability to plan for and mitigate disasters.
Tadas Nikonovas, Allan Spessa, Stefan H. Doerr, Gareth D. Clay, and Symon Mezbahuddin
Nat. Hazards Earth Syst. Sci., 22, 303–322, https://doi.org/10.5194/nhess-22-303-2022, https://doi.org/10.5194/nhess-22-303-2022, 2022
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Extreme fire episodes in Indonesia emit large amounts of greenhouse gasses and have negative effects on human health in the region. In this study we show that such burning events can be predicted several months in advance in large parts of Indonesia using existing seasonal climate forecasts and forest cover change datasets. A reliable early fire warning system would enable local agencies to prepare and mitigate the worst of the effects.
Yahong Liu and Jin Zhang
Nat. Hazards Earth Syst. Sci., 22, 227–244, https://doi.org/10.5194/nhess-22-227-2022, https://doi.org/10.5194/nhess-22-227-2022, 2022
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Through a comprehensive analysis of the current remote sensing technology resources, this paper establishes the database to realize the unified management of heterogeneous sensor resources and proposes a capability evaluation method of remote sensing cooperative technology in geohazard emergencies, providing a decision-making basis for the establishment of remote sensing cooperative observations in geohazard emergencies.
Diego Guenzi, Danilo Godone, Paolo Allasia, Nunzio Luciano Fazio, Michele Perrotti, and Piernicola Lollino
Nat. Hazards Earth Syst. Sci., 22, 207–212, https://doi.org/10.5194/nhess-22-207-2022, https://doi.org/10.5194/nhess-22-207-2022, 2022
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In the Apulia region (southeastern Italy) we are monitoring a soft-rock coastal cliff using webcams and strain sensors. In this urban and touristic area, coastal recession is extremely rapid and rockfalls are very frequent. In our work we are using low-cost and open-source hardware and software, trying to correlate both meteorological information with measures obtained from crack meters and webcams, aiming to recognize potential precursor signals that could be triggered by instability phenomena.
Natalie Brožová, Tommaso Baggio, Vincenzo D'Agostino, Yves Bühler, and Peter Bebi
Nat. Hazards Earth Syst. Sci., 21, 3539–3562, https://doi.org/10.5194/nhess-21-3539-2021, https://doi.org/10.5194/nhess-21-3539-2021, 2021
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Surface roughness plays a great role in natural hazard processes but is not always well implemented in natural hazard modelling. The results of our study show how surface roughness can be useful in representing vegetation and ground structures, which are currently underrated. By including surface roughness in natural hazard modelling, we could better illustrate the processes and thus improve hazard mapping, which is crucial for infrastructure and settlement planning in mountainous areas.
Hugues Brenot, Nicolas Theys, Lieven Clarisse, Jeroen van Gent, Daniel R. Hurtmans, Sophie Vandenbussche, Nikolaos Papagiannopoulos, Lucia Mona, Timo Virtanen, Andreas Uppstu, Mikhail Sofiev, Luca Bugliaro, Margarita Vázquez-Navarro, Pascal Hedelt, Michelle Maree Parks, Sara Barsotti, Mauro Coltelli, William Moreland, Simona Scollo, Giuseppe Salerno, Delia Arnold-Arias, Marcus Hirtl, Tuomas Peltonen, Juhani Lahtinen, Klaus Sievers, Florian Lipok, Rolf Rüfenacht, Alexander Haefele, Maxime Hervo, Saskia Wagenaar, Wim Som de Cerff, Jos de Laat, Arnoud Apituley, Piet Stammes, Quentin Laffineur, Andy Delcloo, Robertson Lennart, Carl-Herbert Rokitansky, Arturo Vargas, Markus Kerschbaum, Christian Resch, Raimund Zopp, Matthieu Plu, Vincent-Henri Peuch, Michel Van Roozendael, and Gerhard Wotawa
Nat. Hazards Earth Syst. Sci., 21, 3367–3405, https://doi.org/10.5194/nhess-21-3367-2021, https://doi.org/10.5194/nhess-21-3367-2021, 2021
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The purpose of the EUNADICS-AV (European Natural Airborne Disaster Information and Coordination System for Aviation) prototype early warning system (EWS) is to develop the combined use of harmonised data products from satellite, ground-based and in situ instruments to produce alerts of airborne hazards (volcanic, dust, smoke and radionuclide clouds), satisfying the requirement of aviation air traffic management (ATM) stakeholders (https://cordis.europa.eu/project/id/723986).
Johnny Douvinet, Anna Serra-Llobet, Esteban Bopp, and G. Mathias Kondolf
Nat. Hazards Earth Syst. Sci., 21, 2899–2920, https://doi.org/10.5194/nhess-21-2899-2021, https://doi.org/10.5194/nhess-21-2899-2021, 2021
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This study proposes to combine results of research regarding the spatial inequalities due to the siren coverage, the political dilemma of siren activation, and the social problem of siren awareness and trust for people in France. Surveys were conducted using a range of complementary methods (GIS analysis, statistical analysis, questionnaires, interviews) through different scales. Results show that siren coverage in France is often determined by population density but not risks or disasters.
Fabio Brighenti, Francesco Carnemolla, Danilo Messina, and Giorgio De Guidi
Nat. Hazards Earth Syst. Sci., 21, 2881–2898, https://doi.org/10.5194/nhess-21-2881-2021, https://doi.org/10.5194/nhess-21-2881-2021, 2021
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In this paper we propose a methodology to mitigate hazard in a natural environment in an urbanized context. The deformation of the ground is a precursor of paroxysms in mud volcanoes. Therefore, through the analysis of the deformation supported by a statistical approach, this methodology was tested to reduce the hazard around the mud volcano. In the future, the goal is that this dangerous area will become both a naturalistic heritage and a source of development for the community of the area.
Doris Hermle, Markus Keuschnig, Ingo Hartmeyer, Robert Delleske, and Michael Krautblatter
Nat. Hazards Earth Syst. Sci., 21, 2753–2772, https://doi.org/10.5194/nhess-21-2753-2021, https://doi.org/10.5194/nhess-21-2753-2021, 2021
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Multispectral remote sensing imagery enables landslide detection and monitoring, but its applicability to time-critical early warning is rarely studied. We present a concept to operationalise its use for landslide early warning, aiming to extend lead time. We tested PlanetScope and unmanned aerial system images on a complex mass movement and compared processing times to historic benchmarks. Acquired data are within the forecasting window, indicating the feasibility for landslide early warning.
Anna Kruspe, Jens Kersten, and Friederike Klan
Nat. Hazards Earth Syst. Sci., 21, 1825–1845, https://doi.org/10.5194/nhess-21-1825-2021, https://doi.org/10.5194/nhess-21-1825-2021, 2021
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Messages on social media can be an important source of information during crisis situations. This article reviews approaches for the reliable detection of informative messages in a flood of data. We demonstrate the varying goals of these approaches and present existing data sets. We then compare approaches based (1) on keyword and location filtering, (2) on crowdsourcing, and (3) on machine learning. We also point out challenges and suggest future research.
Enrique Guillermo Cordaro, Patricio Venegas-Aravena, and David Laroze
Nat. Hazards Earth Syst. Sci., 21, 1785–1806, https://doi.org/10.5194/nhess-21-1785-2021, https://doi.org/10.5194/nhess-21-1785-2021, 2021
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We developed a methodology that generates free externally disturbed magnetic variations in ground magnetometers close to the Chilean convergent margin. Spectral analysis (~ mHz) and magnetic anomalies increased prior to large Chilean earthquakes (Maule 2010, Mw 8.8; Iquique 2014, Mw 8.2; Illapel 2015, Mw 8.3). These findings relate to microcracks within the lithosphere due to stress state changes. This physical evidence should be thought of as a last stage of the earthquake preparation process.
Corey M. Scheip and Karl W. Wegmann
Nat. Hazards Earth Syst. Sci., 21, 1495–1511, https://doi.org/10.5194/nhess-21-1495-2021, https://doi.org/10.5194/nhess-21-1495-2021, 2021
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For many decades, natural disasters have been monitored by trained analysts using multiple satellite images to observe landscape change. This approach is incredibly useful, but our new tool, HazMapper, offers researchers and the scientifically curious public a web-accessible
cloud-based tool to perform similar analysis. We intend for the tool to both be used in scientific research and provide rapid response to global natural disasters like landslides, wildfires, and volcanic eruptions.
Matti Wiegmann, Jens Kersten, Hansi Senaratne, Martin Potthast, Friederike Klan, and Benno Stein
Nat. Hazards Earth Syst. Sci., 21, 1431–1444, https://doi.org/10.5194/nhess-21-1431-2021, https://doi.org/10.5194/nhess-21-1431-2021, 2021
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In this paper, we study when social media is an adequate source to find metadata about incidents that cannot be acquired by traditional means. We identify six major use cases: impact assessment and verification of model predictions, narrative generation, recruiting citizen volunteers, supporting weakly institutionalized areas, narrowing surveillance areas, and reporting triggers for periodical surveillance.
Hui Liu, Ya Hao, Wenhao Zhang, Hanyue Zhang, Fei Gao, and Jinping Tong
Nat. Hazards Earth Syst. Sci., 21, 1179–1194, https://doi.org/10.5194/nhess-21-1179-2021, https://doi.org/10.5194/nhess-21-1179-2021, 2021
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We trained a recurrent neural network model to classify microblogging posts related to urban waterlogging and establish an online monitoring system of urban waterlogging caused by flood disasters. We manually curated more than 4400 waterlogging posts to train the RNN model so that it can precisely identify waterlogging-related posts of Sina Weibo to timely determine urban waterlogging.
Roope Tervo, Ilona Láng, Alexander Jung, and Antti Mäkelä
Nat. Hazards Earth Syst. Sci., 21, 607–627, https://doi.org/10.5194/nhess-21-607-2021, https://doi.org/10.5194/nhess-21-607-2021, 2021
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Predicting the number of power outages caused by extratropical storms is a key challenge for power grid operators. We introduce a novel method to predict the storm severity for the power grid employing ERA5 reanalysis data combined with a forest inventory. The storms are first identified from the data and then classified using several machine-learning methods. While there is plenty of room to improve, the results are already usable, with support vector classifier providing the best performance.
Michaela Wenner, Clément Hibert, Alec van Herwijnen, Lorenz Meier, and Fabian Walter
Nat. Hazards Earth Syst. Sci., 21, 339–361, https://doi.org/10.5194/nhess-21-339-2021, https://doi.org/10.5194/nhess-21-339-2021, 2021
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Mass movements constitute a risk to property and human life. In this study we use machine learning to automatically detect and classify slope failure events using ground vibrations. We explore the influence of non-ideal though commonly encountered conditions: poor network coverage, small number of events, and low signal-to-noise ratios. Our approach enables us to detect the occurrence of rare events of high interest in a large data set of more than a million windowed seismic signals.
Luiz Felipe Galizia, Thomas Curt, Renaud Barbero, and Marcos Rodrigues
Nat. Hazards Earth Syst. Sci., 21, 73–86, https://doi.org/10.5194/nhess-21-73-2021, https://doi.org/10.5194/nhess-21-73-2021, 2021
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This paper aims to provide a quantitative evaluation of three remotely sensed fire datasets which have recently emerged as an important resource to improve our understanding of fire regimes. Our findings suggest that remotely sensed fire datasets can be used to proxy variations in fire activity on monthly and annual timescales; however, caution is advised when drawing information from smaller fires (< 100 ha) across the Mediterranean region.
Philippe Weyrich, Anna Scolobig, Florian Walther, and Anthony Patt
Nat. Hazards Earth Syst. Sci., 20, 2811–2821, https://doi.org/10.5194/nhess-20-2811-2020, https://doi.org/10.5194/nhess-20-2811-2020, 2020
Patric Kellermann, Kai Schröter, Annegret H. Thieken, Sören-Nils Haubrock, and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 20, 2503–2519, https://doi.org/10.5194/nhess-20-2503-2020, https://doi.org/10.5194/nhess-20-2503-2020, 2020
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The flood damage database HOWAS 21 contains object-specific flood damage data resulting from fluvial, pluvial and groundwater flooding. The datasets incorporate various variables of flood hazard, exposure, vulnerability and direct tangible damage at properties from several economic sectors. This paper presents HOWAS 21 and highlights exemplary analyses to demonstrate the use of HOWAS 21 flood damage data.
Giuseppe Esposito, Ivan Marchesini, Alessandro Cesare Mondini, Paola Reichenbach, Mauro Rossi, and Simone Sterlacchini
Nat. Hazards Earth Syst. Sci., 20, 2379–2395, https://doi.org/10.5194/nhess-20-2379-2020, https://doi.org/10.5194/nhess-20-2379-2020, 2020
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In this article, we present an automatic processing chain aimed to support the detection of landslides that induce sharp land cover changes. The chain exploits free software and spaceborne SAR data, allowing the systematic monitoring of wide mountainous regions exposed to mass movements. In the test site, we verified a general accordance between the spatial distribution of seismically induced landslides and the detected land cover changes, demonstrating its potential use in emergency management.
Mohammad Malakootian and Majid Nozari
Nat. Hazards Earth Syst. Sci., 20, 2351–2363, https://doi.org/10.5194/nhess-20-2351-2020, https://doi.org/10.5194/nhess-20-2351-2020, 2020
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The present study estimated the Kerman–Baghin aquifer vulnerability using DRASTIC and composite DRASTIC (CDRASTIC) indices with the aid of geographic information system (GIS) techniques. The aquifer vulnerability maps indicated very similar results, identifying the north-west parts of the aquifer as areas with high to very high vulnerability. According to the results, parts of the studied aquifer have a high vulnerability and require protective measures.
Diana Contreras, Alondra Chamorro, and Sean Wilkinson
Nat. Hazards Earth Syst. Sci., 20, 1663–1687, https://doi.org/10.5194/nhess-20-1663-2020, https://doi.org/10.5194/nhess-20-1663-2020, 2020
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The socio-economic condition of the population determines their vulnerability to earthquakes, tsunamis, volcanic eruptions, landslides, soil erosion and land degradation. This condition is estimated mainly from population censuses. The lack to access to basic services, proximity to hazard zones, poverty and population density highly influence the vulnerability of communities. Mapping the location of this vulnerable population makes it possible to prevent and mitigate their risk.
Simona Colombelli, Francesco Carotenuto, Luca Elia, and Aldo Zollo
Nat. Hazards Earth Syst. Sci., 20, 921–931, https://doi.org/10.5194/nhess-20-921-2020, https://doi.org/10.5194/nhess-20-921-2020, 2020
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We developed a mobile app for Android devices which receives the alerts generated by a network-based early warning system, predicts the expected ground-shaking intensity and the available lead time at the user position, and provides customized messages to inform the user about the proper reaction to the alert. The app represents a powerful tool for informing in real time a wide audience of end users and stakeholders about the potential damaging shaking in the occurrence of an earthquake.
Richard Styron, Julio García-Pelaez, and Marco Pagani
Nat. Hazards Earth Syst. Sci., 20, 831–857, https://doi.org/10.5194/nhess-20-831-2020, https://doi.org/10.5194/nhess-20-831-2020, 2020
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The Caribbean and Central American region is both tectonically active and densely populated, leading to a large population that is exposed to earthquake hazards. Until now, no comprehensive fault data covering the region have been available. We present a new public fault database for Central America and the Caribbean that synthesizes published studies with new mapping from remote sensing to provide fault sources for the CCARA seismic hazard and risk analysis project and to aid future research.
María del Pilar Jiménez-Donaire, Ana Tarquis, and Juan Vicente Giráldez
Nat. Hazards Earth Syst. Sci., 20, 21–33, https://doi.org/10.5194/nhess-20-21-2020, https://doi.org/10.5194/nhess-20-21-2020, 2020
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A new combined drought indicator (CDI) is proposed that integrates rainfall, soil moisture and vegetation dynamics. The performance of this indicator was evaluated against crop damage data from agricultural insurance schemes in five different areas in SW Spain. Results show that this indicator was able to predict important droughts in 2004–2005 and 2011–2012, marked by crop damage of between 70 % and 95 % of the total insured area. This opens important applications for improving insurance schemes.
Quancai Xie, Qiang Ma, Jingfa Zhang, and Haiying Yu
Nat. Hazards Earth Syst. Sci., 19, 2827–2839, https://doi.org/10.5194/nhess-19-2827-2019, https://doi.org/10.5194/nhess-19-2827-2019, 2019
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This paper evaluates a new method for modeling the site amplification factor. Through implementing this method and making simulations for different cases, we find that this method shows better performance than the previous method and JMA report. We better understand the advantages and disadvantages of this method, although there are some problems that need to be considered carefully and solved; it shows good potential to be used in future earthquake early warning systems.
David A. Bonneau, D. Jean Hutchinson, Paul-Mark DiFrancesco, Melanie Coombs, and Zac Sala
Nat. Hazards Earth Syst. Sci., 19, 2745–2765, https://doi.org/10.5194/nhess-19-2745-2019, https://doi.org/10.5194/nhess-19-2745-2019, 2019
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In mountainous regions around the world rockfalls pose a hazard to infrastructure and society. To aid in our understanding and management of these complex hazards, an inventory can be compiled. Three-dimensional remote sensing data can be used to locate the source zones of these events and generate models of areas which detached. We address the way in which the shape of a rockfall object can be measured. The shape of a rockfall has implications for forward modelling of potential runout zones.
Kwonmin Lee, Hye-Sil Kim, and Yong-Sang Choi
Nat. Hazards Earth Syst. Sci., 19, 2241–2248, https://doi.org/10.5194/nhess-19-2241-2019, https://doi.org/10.5194/nhess-19-2241-2019, 2019
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This study examined the advances in the predictability of thunderstorms using geostationary satellite imageries. Our present results show that by using the latest geostationary satellite data (with a resolution of 2 km and 10 min), thunderstorms can be predicted 90–180 min ahead of their mature state. These data can capture the rapidly growing cloud tops before the cloud moisture falls as precipitation and enable prompt preparation and the mitigation of hazards.
Qingyun Zhang, Yongsheng Li, Jingfa Zhang, and Yi Luo
Nat. Hazards Earth Syst. Sci., 19, 2229–2240, https://doi.org/10.5194/nhess-19-2229-2019, https://doi.org/10.5194/nhess-19-2229-2019, 2019
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Before the opening of the railway, the deformation of the Qinghai–Tibet Railway was very small and considered stable. After opening, the overall stability of the railway section was good. The main deformation areas are concentrated in the areas where railway lines turn and geological disasters are concentrated. In order to ensure the safety of railway operation, it is necessary to carry out long-term time series observation along the Qinghai–Tibet Railway.
Xiao Huang, Cuizhen Wang, and Junyu Lu
Nat. Hazards Earth Syst. Sci., 19, 2141–2155, https://doi.org/10.5194/nhess-19-2141-2019, https://doi.org/10.5194/nhess-19-2141-2019, 2019
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This study examined the spatiotemporal dynamics of nighttime satellite-derived human settlement in response to different levels of hurricane proneness in a period from 1992 to 2013. It confirms the
Snow Belt-to-Sun BeltUS population shift trend. The results also suggest that hurricane-exposed human settlement has grown in extent and area, as more hurricane exposure has experienced a larger increase rate in settlement intensity.
Cited articles
Alimohammadlou, Y., Najafi, A., and Yalcin, A. Landslide process and impacts: A proposed classification method. CATENA, 104, 219–232, https://doi.org/10.1016/j.catena.2012.11.013, 2013.
Bíl, M. and Müller, I.: The origin of shallow landslides in Moravia (Czech Republic) in the spring of 2006, Geomorphology, 99, 246–253, https://doi.org/10.1016/j.geomorph.2007.11.004, 2008.
Bíl, M., Krejčí, O., Bílová, M., Kubeček, J., Sedoník, J., and Krejčí, V.: A Chronology of landsliding and its impactss on the village of Halenkovice, Outer Western Carpathians, Geografie, 119, 342–363, https://doi.org/10.37040/geografie2014119040342, 2014.
Bíl, M., Andrášik, R., Zahradníček, P., Kubeček, J., Sedoník, J., and Štěpánek, P.: Total water content thresholds for shallow landslides, Outer Western Carpathians, Landslides, 13, 337–347, https://doi.org/10.1007/s10346-015-0570-9, 2016.
Bíl, M., Andrášik, R., Kubeček, J., Křivánková, Z., and Vodák, R.: RUPOK: An Online Landslide Risk Tool for Road Networks, Advancing Culture of Living with Landslides, Vol 5: Landslides in Different Environments, edited by: Mikoš, M., Vilímek, V., Yin, Y., and Sassa, K., Springer International Publishing Ag, Cham, 19–26 pp., 2017.
Bíl, M., Krejčí, O., Dolák, L., Krejčí, V., Martínek, J., and Svoboda, J.: A chronology of landsliding based on archaeological and documentary data: Pavlovské vrchy Hills, Western Carpathian Flysch Belt, Sci. Rep.-UK, 10, 976, https://doi.org/10.1038/s41598-020-57551-4, 2020.
Brázdil, R., Dobrovolný, P., Štekl, J., Kotyza, O., Valášek, H., and Jež, J.: History of weather and climate in the Czech Lands. VI, Strong winds, 1st published edn., History of Weather and Climate in the Czech Lands, Masaryk University, Brno, 377 pp., 2004.
Brázdil, R., Řezníčková, L., Valášek, H., Havlíček, M., Dobrovolný, P., Soukalová, E., Řehánek, T., and Skokanová, H.: Fluctuations of floods of the River Morava (Czech Republic) in the 1691–2009 period: interactions of natural and anthropogenic factors, Hydrolog. Sci. J., 56, 468–485, https://doi.org/10.1080/02626667.2011.564175, 2011.
Brázdil, R., Dobrovolný, P., Trnka, M., Kotyza, O.,
Řezníčková, L., Valášek, H.,
Zahrádníček, P., and Štěpánek, P.:
Droughts in the Czech Lands, 1090–2012 AD, Clim. Past, 9, 1985–2002, https://doi.org/10.5194/cp-9-1985-2013, 2013a.
Brázdil, R., Kotyza, O., Dobrovolný, P., Řezníčková, L., and Valášek, H.: Climate of the Sixteenth Century in the Czech Lands, History of Weather and Climate in the Czech Lands, Masaryk University, Brno, 286 pp., 2013b.
Brázdil, R., Raška, P., Trnka, M., Zahradníček, P., Valášek, H., Dobrovolný, P., Řezníčková, L., Treml, P., and Stachoň, Z.: The Central European drought of 1947: causes and consequences, with particular reference to the Czech Lands, Clim. Res., 70, 161–178, https://doi.org/10.3354/cr01387, 2016a.
Brázdil, R., Řezníčková, L.,
Valášek, H., Dolák, L., and Kotyza, O.: Climatic effects and impacts of the 1815 eruption of Mount Tambora in the Czech Lands, Clim. Past, 12, 1361–1374, https://doi.org/10.5194/cp-12-1361-2016, 2016b.
Brázdil, R., Szabó, P., Dobrovolný, P., Řezníčková, L., Kotyza, O., Suchánková, S., and Valášek, H.: Windstorm of the eighteenth century in the Czech Lands: course, extent, impacts, Theor. Appl. Climatol., 129, 623–632, https://doi.org/10.1007/s00704-016-1806-x, 2017.
Brázdil, R., Kiss, A., Luterbacher, J., Nash, D. J., and
Řezníčková, L.: Documentary data and the study of past droughts: a global state of the art, Clim. Past, 14, 1915–1960, https://doi.org/10.5194/cp-14-1915-2018, 2018a.
Brázdil, R., Stucki, P., Szabó, P., Řezníčková, L., Dolák, L., Dobrovolný, P., Tolasz, R., Kotyza, O., Chromá, K., and Suchánková, S.: Windstorms and forest disturbances in the Czech Lands: 1801–2015, Agr. Forest Meteorol., 250, 47–63, https://doi.org/10.1016/j.agrformet.2017.11.036, 2018b.
Brázdil, R., Dobrovolný, P., Trnka, M.,
Řezníčková, L., Dolák, L., and Kotyza, O.: Extreme droughts and human responses to them: the Czech Lands in the pre-instrumental period, Clim. Past, 15, 124, https://doi.org/10.5194/cp-15-1-2019, 2019.
Burda, J., Hartvich, F., Valenta, J., Smítka, V., and Rybář, J.: Climate-induced landslide reactivation at the edge of the Most Basin (Czech Republic) – progress towards better landslide prediction, Nat. Hazards Earth Syst. Sci., 13, 361–374, https://doi.org/10.5194/nhess-13-361-2013, 2013.
Cajz, V.: The České středohoří Mts.: volcanostratigraphy and geochemistry, Geolines, 9, 21–28, 1999.
Caloiero, T., Pasqua, A. A., and Petrucci, O.: Damaging Hydrogeological Events: A Procedure for the Assessment of Severity Levels and an Application to Calabria (Southern Italy), Water, 6, 3652–3670, https://doi.org/10.3390/w6123652 2014.
Caracciolo, D., Arnone, E., Conti, F. L., and Noto, L. V.: Exploiting historical rainfall and landslide data in a spatial database for the derivation of critical rainfall thresholds, Environ. Earth Sci.,76, 222, https://doi.org/10.1007/s12665-017-6545-5 2017.
Crozier, M. J. and Glade, T.: Frequency and magnitude of landsliding: Fundamental research issues, Z. Geomorphol. Supp., 115, 141–155, https://doi.org/10.1127/zfgsuppl/115/1999/141, 1999.
Cruden, D. M.: The First Classification of Landslides?, Environmental and Engineering Geoscience, 9, 197–200, https://doi.org/10.2113/9.3.197, 2003.
Čermák, J.: Sesutí stráně a hrazené jezero u Mladotic: předběžná zpráva [Landslide and the landslide-dammed lake of Mladotice: a preliminary report], Sborník České společnosti zeměvědné, 18, 19–23, 1912.
CHILDA – Czech Historical Landslide Database: available at: https://childa.cz, last access: 9 April 2021.
CHMI – Czech Hydrometeorological Institute: available at: http://www.chmi.cz, last access: 9 April 2021.
Czech Geological Survey: available at: http://www.geology.cz (last access: 8 February 2021), 2012a.
Czech Geological Survey Map Server: available at: https://mapy.geology.cz/arcgis/rest/services/Inspire/GM2_5mil/MapServer?f=jsapi (last access: 5 March 2021), 2012b.
Damm, B. and Klose, M.: The landslide database for Germany: Closing the gap at national level, Geomorphology, 249, 82–93, https://doi.org/10.1016/j.geomorph.2015.03.021, 2015.
Dědina, V.: Sesouvání stráně na Chlomku u Ml. Boleslavě [Landsliding at Chloumek by Ml. Boleslav town], Sborník České společnosti zeměvědné, 2, 40–41, 1896.
Dědina, V.: Sesutí půdy pod Chlomkem u Ml. Boleslavi [Landslide of earth at Chloumek by Ml. Boleslav town], Sborník České společnosti zeměvědné, 22, 160–166, 1916.
Devoli, G., Morales, A., and Høeg, K.: Historical landslides in Nicaragua – collection and analysis of data, Landslides, 4, 5–18, https://doi.org/10.1007/s10346-006-0048-x, 2007.
Dolák, L., Brázdil, R., Řezníčková, L., and Valášek, H.: Selected drought impacts in South Moravia in the 18th and 20th centuries based on documentary evidence, In: Otmar Urban, Mirka Šprtová, Karel Klem. Global Change: A Complex Challenge. Conference Proceedings. Global Change Research Centre, The Czech Academy of Sciences, v.v.i., Brno, 30–33 pp., 23–24 March 2015, 2015.
Elleder, L., Krejčí, J., Racko, S., Daňhelka, J., Šírová, J., and Kašpárek, L.: Reliability check of flash-flood in Central Bohemia on 25 May 1872, Global Planet. Change, 187, 103094, https://doi.org/10.1016/j.gloplacha.2019.103094, 2020.
Elliott, A. and Kirschbaum, M.: The preliminary landslide history database of Utah, 1850–1978, Utah Geological Survey, 514, 5, 2007.
Forczek, I.: Destruction of marginal parts of sandstone plateaus in the protected landscape area Bohemian Paradise, Acta Geodyn. Geomater., 5, 267–274, 2008.
Froude, M. J. and Petley, D. N.: Global fatal landslide occurrence from 2004 to 2016, Nat. Hazards Earth Syst. Sci., 18, 2161–2181, https://doi.org/10.5194/nhess-18-2161-2018, 2018.
Flageollet, J.-C.: The time dimension in the study of mass movements. Geomorphology, 15, 185–190, https://doi.org/10.1016/0169-555X(95)00069-H, 1996.
Gariano, S. L. and Guzzetti, F.: Landslides in a changing climate, Earth-Sci. Rev., 162, 227–252, https://doi.org/10.1016/j.earscirev.2016.08.011, 2016.
Glade, T., Albini, P., and Frances, F.: An introduction to the use of historical data in natural hazard assessments, Use of Historical Data in Natural Hazard Assessments, edited by: Glade, T., Albini, P., and Frances, F., Springer, Dordrecht, 2001.
Guzzetti, F., Cardinali, M., and Reichenbach, P.: The AVI project: A bibliographical and archive inventory of landslides and floods in Italy, Environ. Manage., 18, 623–633, https://doi.org/10.1007/BF02400865, 1994.
Hermanns, R., Hansen, L., Sletten, K., Böhme, M., Bunkholt, H., Dehls, J., Eilertsen, R., Fischer, L., L'Heureux, J.-S., Høgaas, F., Nordahl, B., Oppikofer, T., Rubensdotter, L., Solberg, I.-L., Stalsberg, K., and Yugsi Molina, F. X.: Systematic geological mapping for landslide understanding in the Norwegian context, in: Landslide and engineered slopes: protecting society through improved understanding, edited by: Eberhardt, E., Froese, C., Turner, A. K., and Leroueil, S., Taylor and Francis Group, London, 265–271, 2013.
Herrera, G., Mateos, R. M., García-Davalillo, J. C., Grandjean, G., Poyiadji, E., Maftei, R., Filipciuc, T.-C., Jemec Auflič, M., Jež, J., Podolszki, L., Trigila, A., Iadanza, C., Raetzo, H., Kociu, A., Przyłucka, M., Kułak, M., Sheehy, M., Pellicer, X. M., McKeown, C., Ryan, G., Kopačková, V., Frei, M., Kuhn, D., Hermanns, R. L., Koulermou, N., Smith, C. A., Engdahl, M., Buxó, P., Gonzalez, M., Dashwood, C., Reeves, H., Cigna, F., Liščák, P., Pauditš, P., Mikulėnas, V., Demir, V., Raha, M., Quental, L., Sandić, C., Fusi, B., and Jensen, O. A.: Landslide databases in the Geological Surveys of Europe, Landslides, 15, 359–379, https://doi.org/10.1007/s10346-017-0902-z, 2018.
Hroch, Z., Kycl, P., and Šebesta, J.: Landslide hazards in North Bohemia, in: Landslides: Proceedings of the First European Conference on Landslides, edited by: Rybář, J., Stemberk, J., and Wagner, P., Swets and Zeitlinger, Lisse, 207–212, 24–26 June 2002, 2002.
Hungr, O., Leroueil, S., and Picarelli, L.: The Varnes classification of landslide types, an update, Landslides, 11, 167–194, https://doi.org/10.1007/s10346-013-0436-y, 2014.
Hutter, T.: Die Stadt Bilin und ihre Geschichte von der ältesten Zeit bis auf unsere Tage (1890), Verlag des Bürgermeisteramtes, Bilin, 168 pp., 1891.
Jüttner, K.: Die Rutschgebiete an den Hängen der Pollauer Berge, Firgenwald, 4, 108–121, 1931.
Jüttner, K.: Die erdgeschichtliche Entwicklung des Bodens der Gemeinde Pollau, Deutsch-mähr.-schles. Heimat, 11/12, 23, 1–6, 1937.
Kalvoda, J. and Balatka, B.: Chronodynamics of the Labe River antecedence in the Děčínská vrchovina Highland, Czech Republic, Acta Montana IRSM AS CR Series A, 8, 43–60, 1995.
Kárník, V., Michal, E., and Molnár, A.: Erdbebenkatalog der Tschechoslowakei bis zum Jahre 1956, Travaux Géophysiques, 69, 411–598, 1957.
Kjeldsen, T. R., Macdonald, N., Lang, M., Mediero, L., Albuquerque, T., Bogdanowicz, E., Brázdil, R., Castellarin, A., David, V., Fleig, A., Gul, G. O., Kriauciuniene, J., Kohnová, S., Merz, B., Nicholson, O., Roald, L. A., Salinas, J. L., Sarauskiene, D., Šraj, M., Strupczewski, W., Szolgay, J., Toumazis, A., Vanneuville, W., Veijalainen, N., and Wilson, D.: Documentary evidence of past floods in Europe and their utility in flood frequency estimation, J. Hydrol., 517, 963–973, https://doi.org/10.1016/j.jhydrol.2014.06.038, 2014.
Klimeš, J., Stemberk, J., Blahut, J., Krejčí, V., Krejčí, O., Hartvich, F., and Kycl, P.: Challenges for landslide hazard and risk management in “low-risk” regions, Czech Republic-landslide occurrences and related costs (IPL project no. 197), Landslides, 14, 771–780, https://doi.org/10.1007/s10346-017-0798-7, 2017.
Klimeš, J., Müllerová, H., Woitsch, J., Bíl, M., and Křížová, B.: Century-long history of rural community landslide risk reduction, Int. J. Disast. Risk. Re., 51, 101756, https://doi.org/10.1016/j.ijdrr.2020.101756, 2020.
Klose, M., Maurischat, P., and Damm, B.: Landslide impacts in Germany: A historical and socioeconomic perspective, Landslides, 13, 183–199, https://doi.org/10.1007/s10346-015-0643-9 2016.
Kozák, J. and Rybář, J.: Special Contribution: Pictorial Series of the Manifestations of the Dynamics of the Earth: 3. Historical Images of Landslides and Rock Falls, Stud. Geophys. Geod., 47, 221–232, https://doi.org/10.1023/A:1022220126463, 2003.
Krejčí, J.: Sesuvná území na Zlínsku [Landslide areas in the Zlín region], Práce Moravské přírodovědecké společnosti, 15, F156, 1943.
Krejčí, O., Krejčí, V., Kycl, P., Paleček, M., and Rybář, J.: Bohyně in Děčín district – the largest landslide area in the Czech Republic, Geoscience Research Reports, 50, 227–234, https://doi.org/10.3140/zpravy.geol.2017.38 2017.
Krejčí, O., Baroň, I., Bíl, M., Hubatka, F., Jurová, Z., and Kirchner, K.: Slope movements in the Flysch Carpathians of Eastern Czech Republic triggered by extreme rainfalls in 1997: a case study, Phys. Chem. Earth, Pt. A/B/C, 27, 1567–1576, https://doi.org/10.1016/S1474-7065(02)00178-X, 2002.
Kryčer, R.: Dějiny obcí Bavory, Bulhary, Klentnice, Mušov, Pavlov, Perná, Sedlec, Dolní Věstonice, Horní Věstonice [Histories of the municipalities of Bavory, Bulhary, Klentnice, Mušov, Pavlov, Perná, Sedlec, Dolní Věstonice and Horní Věstonice], The State District Archive in Břeclav, (undated document).
Maca, J.: Pollauer Heimatbuch: 1334–1946: Geschichte und Schicksal einer deutschen Gemeinde in Südmähren, Selbstverlag, Wien, 551 pp., 1994.
Marc, O., Stumpf, A., Malet, J.-P., Gosset, M., Uchida, T., and Chiang, S.-H.: Initial insights from a global database of rainfall-induced landslide inventories: the weak influence of slope and strong influence of total storm rainfall, Earth Surf. Dynam., 6, 903–922, https://doi.org/10.5194/esurf-6-903-2018, 2018.
Mauder, E.: Chronik von Bodenbach, Verlag der Stadtgemeinde, Tetschen-Bodenbach, 445 pp., 1931.
Pánek, T., Brázdil, R., Klimeš, J., Smolková, V., Hradecký, J., and Zahradníček, P.: Rainfall-induced landslide event of May 2010 in the eastern part of the Czech Republic, Landslides, 8, 507–516, https://doi.org/10.1007/s10346-011-0268-6, 2011.
Pereira, S., Zêzere, J. L., Quaresma, I. D., and Bateira, C.: Landslide incidence in the North of Portugal: Analysis of a historical landslide database based on press releases and technical reports, Geomorphology, 214, 514–525, https://doi.org/10.1016/j.geomorph.2014.02.032, 2014.
Piacentini, D., Troiani, F., Daniele, G., and Pizziolo, M.: Historical geospatial database for landslide analysis: the Catalogue of Landslide OCcurrences in the Emilia-Romagna Region (CLOCkER), Landslides, 15, 811–822, https://doi.org/10.1007/s10346-018-0962-8, 2018.
Pilous, V.: Strukturní mury v Krkonoších – 1. část, Opera Corcontica, 10, 15–69, 1973.
Raška, P., Hartvich, F., Cajz, V., and Adamovič, J.: Structural setting of the Certovka landslide (Usti nad Labem, Czech Republic): morphostructural analysis and electrical resistivity tomography, Geol. Q., 58, 85–98, https://doi.org/10.7306/gq.1134, 2014a.
Raška, P., Zábranský, V., Dubišar, J., Kadlec, A., Hrbáčová, A., and Strnad, T.: Documentary proxies and interdisciplinary research on historic geomorphologic hazards: a discussion of the current state from a central European perspective, Nat. Hazards, 70, 705–732, https://doi.org/10.1007/s11069-013-0839-z, 2014b.
Raška, P., Klimeš, J., and Dubišar, J.: Using Local Archive Sources to Reconstruct Historical Landslide Occurrence in Selected Urban REgions of the Czech Republic: Examples from Regions with Different Historical Development, Land Degrad. Dev., 26, 142–157, https://doi.org/10.1002/ldr.2192, 2015.
Raška, P., Zábranský, V., Brázdil, R., and Lamková, J.: The late Little Ice Age landslide calamity in North Bohemia: Triggers, impacts and post-landslide development reconstructed from documentary data (case study of the Kozí vrch Hill landslide), Geomorphology, 255, 95–107, https://doi.org/10.1016/j.geomorph.2015.12.009, 2016.
Raška, P. and Dubišar, J.: Impacts of natural hazards on an early industrial community: A case study of North Bohemia and its implications for long-term vulnerability assessment, Morav. Geogr. Rep., 25, 13–23, https://doi.org/10.1515/mgr-2017-0002, 2017.
Raška, P.: Contextualizing community-based landslide risk reduction: an evolutionary perspective, Landslides, 16, 1747–1762, https://doi.org/10.1007/s10346-018-1099-5 2019.
Remondo, J., Bonachea, J., and Cendrero, A.: Quantitative landslide risk assessment and mapping on the basis of recent occurrences, Geomorphology, 94, 496–507, https://doi.org/10.1016/j.geomorph.2006.10.041, 2008.
Řezníčková, L., Brázdil, R., Kotyza, O., and Valášek, H.: Documentary evidence as a source of data for studying droughts in the Czech Lands, In: Global Change: A Complex Challenge. Conference Proceedings. Brno: Global Change Research Centre, The Czech Academy of Sciences, v.v.i., Brno, 26–29 pp., 23—24 March 2015, 2015.
Rossi, M., Guzzetti, F., Salvati, P., Donnini, M., Napolitano, E., and Bianchi, C.: A predictive model of societal landslide risk in Italy. Earth-Sci. Rev., 196:102849, https://doi.org/10.1016/j.earscirev.2019.04.021, 2019.
Salvati, P., Rossi, M., Bianchi, C., and Guzzetti, F.: Landslide risk to the population of Italy and its geographical and temporal variations, in: Extreme Events, edited by: Chavez, M., Ghil, M., and Urrutia-Fucugauchi, J., 177–194, https://doi.org/10.1002/9781119157052.ch14, American Geophysical Union, Washington, D.C., 2015.
Smetana, J.: Nejstarší kronikářské záznamy litoměřických radních písařů [The earliest chronicle records of councillor scribes in Litoměřice], Vlastivědný sborník Litoměřicko, 14, 119–142, 1978.
Stejskal, J.: Svážná území na Pavlovských vrších [Landslide areas of the Pavlovské vrchy Hills], Sborník československé akademie zemědělské, 6, 55–94, 1931.
Strnad, A.: Chronologisches Verzeichnis der Naturbegebenheiten im Königsreich Böhmen vom Jahre Christi 633 bis 1700, Prague, 139 pp., 1790.
Špůrek, M.: Historická analýza působení klimatického sesuvného faktoru v Českém masivu [Historical analysis of the climatic effect on landsliding in the Bohemian Massif], Archive of the Czech Geological Survey – Geofond Prague, 42 pp., 1967.
Špůrek, M.: Historical catalogue of slide phenomena, Stud Geographica, ČSAV, Brno, 178 pp., 1972.
Špůrek, M.: Československá bibliografie svahových deformací. Dodatky 1. 1, 105 [The Czechoslovak bibliography of slope deformations, Amendments 1.1.105], MS Geofond, Prague, non-paginated pp., 1985.
Štefková-Vajayová, M.: Kronika obce Pavlov [Chronicle of Pavlov municipality], Municipal office, Pavlov, 168 pp., 2001.
Taylor, F. E., Malamud, B. D., Freeborough, K., and Demeritt, D.: Enriching Great Britain's National Landslide Database by searching newspaper archives, Geomorphology, 249, 52–68, https://doi.org/10.1016/j.geomorph.2015.05.019, 2015.
Tropeano, D. and Turconi, L.: Using Historical Documents for Landslide, Debris Flow and Stream Flood Prevention. Applications in Northern Italy, Nat. Hazards, 31, 663–679, https://doi.org/10.1023/B:NHAZ.0000024897.71471.f2 2004.
Třebízský, V. B.: Paměti Jiřího Václava Paroubka, někdy vikáře a faráře v Líbeznicích (1740–1774) [Memoirs of Jiří Václav Paroubek, a vicar and a priest in Líbeznice (1740–1774)], Sborník historický, 2, 73–87, 1885.
UNDRR: Sendai Framework for Disaster Risk Reduction 2015–2030, United Nations, 2015.
Van Den Eeckhaut, M., Muys, B., Van Loy, K., Poesen, J., and Beeckman, H.: Evidence for repeated re-activation of old landslides under forest, Earth Surf. Proc. Land., 34, 352–365, https://doi.org/10.1002/esp.1727, 2009.
Van Den Eeckhaut, M., and Hervás, J.: State of the art of national landslide databases in Europe and their potential for assessing landslide susceptibility, hazard and risk, Geomorphology, 139–140, 545–558, https://doi.org/10.1016/j.geomorph.2011.12.006, 2012.
Woldřich, J. and Stejskal, J.: Geologický profil hliništěm a svážení v cihelně u Dolních Věstonic na Moravě [Geological profile of clay-pit in brickfield by Dolní Věstonice village in Moravia], Věda přírodní: měsíčník pro šíření a pěstování věd přírodních: časopis pro přírodovědeckou vlastivědu. Zvláštní otisk z časopisu Věda přírodní, 15, 129–137, 1934.
Woldřich, J. N.: Sesutí u Klapého z roku 1898 [Landslide at Klapý in 1989], Královská česká společnost nauk. Věstník Královské české společnosti nauk. Třída mathematicko-přírodovědecká, non-paginated, 1899.
Wu, C. Y. and Yeh, Y. C.: A Landslide Probability Model Based on a Long-Term Landslide Inventory and Rainfall Factors, Water, 12, 17, https://doi.org/10.3390/w12040937, 2020.
Zahálka, Č.: O ssutinách čedičových a znělcových v Českém středohoří [On basaltic and phonolitic scree slopes of the České středohoří Mts.], Vesmír, 20, 66–67, 1890.
Záruba, Q.: Studie o sesuvných terénech na Vsatsku a Valašsku [A study on landslide terrains of the Vsatsko and Valašsko regions], Časopis Moravského musae zemského, 20–21, 170–180, 1922.
Záruba, Q.: Studie o sesouvání půdy na Hlučínsku [A study on landsliding in the Hlučínsko area], Technický obzor, 37, 8, 1923.
Záruba, Q.: Sesouvání půdy v oblasti českého útvaru křídového [Landsliding in the Bohemian Cretaceous Basin], Věstník státního geologického ústavu, 2, 226–235, 1926.
Záruba, Q.: Sesuvy v Lyském průsmyku a jejich význam pro komunikační stavby [Landslides in the Lysský průsmyk pass and their significance for the communication buildings], Technický obzor, 46, 1–29, 1938.
Záruba, Q. and Myslivec, A.: Sesuvy při komunikačních stavbách ve flyšovém území [Landslides at transportation constructions in flysch area], Technický obzor, 50, 199–230 1942.
Záruba, Q. and Mencl, V.: Inženýrská geologie [Engineering Geology], Academia, Prague, 428 pp., 1954.
Zvelebil, J., Vařilová, Z., and Paluš, M.: Tools for
Rock Fall Risk Integrated Management in Sandstone Landscape of the Bohemian
Switzerland National Park, Czech Republic (M121), in: Landslides, edited
by: Sassa, K., Fukuoka, H., Wang, F., and Wang, G., Springer, Berlin, Heidelberg, 119–126,
2005.
Short summary
The online landslide database CHILDA (Czech Historical Landslide Database) summarises information about landslides which occurred in the area of Czechia (the Czech Republic). The database is freely accessible via the https://childa.cz/ website. It includes 699 records (spanning the period of 1132–1989). Overall, 55 % of all recorded landslide events occurred only within 15 years of the extreme landslide incidence.
The online landslide database CHILDA (Czech Historical Landslide Database) summarises...
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