Articles | Volume 21, issue 2
https://doi.org/10.5194/nhess-21-743-2021
© 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-21-743-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Feb 2021
Research article |
| 24 Feb 2021
| 24 Feb 2021
Assessing Chinese flood protection and its social divergence
Dan Wang
School of Environmental and Geographical Sciences, Shanghai Normal
University, Shanghai, China
Paolo Scussolini
Institute for Environmental Studies, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
School of Environmental and Geographical Sciences, Shanghai Normal
University, Shanghai, China
Institute for Environmental Studies, Vrije Universiteit Amsterdam,
Amsterdam, the Netherlands
Institute of Urban Studies, Shanghai Normal University, Shanghai,
China
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Nicole van Maanen, Joël J.-F. G. De Plaen, Timothy Tiggeloven, Maria Luisa Colmenares, Philip J. Ward, Paolo Scussolini, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-137, https://doi.org/10.5194/nhess-2024-137, 2024
Preprint under review for NHESS
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Understanding coastal flood protection is vital for assessing risks from natural disasters and climate change. However, current global data on coastal flood protection is limited and based on simplified assumptions, leading to potential uncertainties in risk estimates. As a step in this direction, we propose a comprehensive dataset, COASTPROS-EU, which compiles coastal flood protection standards in Europe.
Paolo Scussolini, Job Dullaart, Sanne Muis, Alessio Rovere, Pepijn Bakker, Dim Coumou, Hans Renssen, Philip J. Ward, and Jeroen C. J. H. Aerts
Clim. Past, 19, 141–157, https://doi.org/10.5194/cp-19-141-2023, https://doi.org/10.5194/cp-19-141-2023, 2023
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We reconstruct sea level extremes due to storm surges in a past warmer climate. We employ a novel combination of paleoclimate modeling and global ocean hydrodynamic modeling. We find that during the Last Interglacial, about 127 000 years ago, seasonal sea level extremes were indeed significantly different – higher or lower – on long stretches of the global coast. These changes are associated with different patterns of atmospheric storminess linked with meridional shifts in wind bands.
Jaap H. Nienhuis, Jana R. Cox, Joey O'Dell, Douglas A. Edmonds, and Paolo Scussolini
Nat. Hazards Earth Syst. Sci., 22, 4087–4101, https://doi.org/10.5194/nhess-22-4087-2022, https://doi.org/10.5194/nhess-22-4087-2022, 2022
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Humans build levees to protect themselves against floods. We need to know where they are to correctly predict flooding, for example from sea level rise. Here we have looked through documents to find levees, and checked that they exist using satellite imagery. We developed a global levee map, available at www.opendelve.eu, and we found that 24 % of people in deltas are protected by levees.
Bette L. Otto-Bliesner, Esther C. Brady, Anni Zhao, Chris M. Brierley, Yarrow Axford, Emilie Capron, Aline Govin, Jeremy S. Hoffman, Elizabeth Isaacs, Masa Kageyama, Paolo Scussolini, Polychronis C. Tzedakis, Charles J. R. Williams, Eric Wolff, Ayako Abe-Ouchi, Pascale Braconnot, Silvana Ramos Buarque, Jian Cao, Anne de Vernal, Maria Vittoria Guarino, Chuncheng Guo, Allegra N. LeGrande, Gerrit Lohmann, Katrin J. Meissner, Laurie Menviel, Polina A. Morozova, Kerim H. Nisancioglu, Ryouta O'ishi, David Salas y Mélia, Xiaoxu Shi, Marie Sicard, Louise Sime, Christian Stepanek, Robert Tomas, Evgeny Volodin, Nicholas K. H. Yeung, Qiong Zhang, Zhongshi Zhang, and Weipeng Zheng
Clim. Past, 17, 63–94, https://doi.org/10.5194/cp-17-63-2021, https://doi.org/10.5194/cp-17-63-2021, 2021
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The CMIP6–PMIP4 Tier 1 lig127k experiment was designed to address the climate responses to strong orbital forcing. We present a multi-model ensemble of 17 climate models, most of which have also completed the CMIP6 DECK experiments and are thus important for assessing future projections. The lig127ksimulations show strong summer warming over the NH continents. More than half of the models simulate a retreat of the Arctic minimum summer ice edge similar to the average for 2000–2018.
Shiqiang Du, Xiaotao Cheng, Qingxu Huang, Ruishan Chen, Philip J. Ward, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 19, 715–719, https://doi.org/10.5194/nhess-19-715-2019, https://doi.org/10.5194/nhess-19-715-2019, 2019
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A mega-flood in 1998 caused tremendous losses in China and triggered major policy adjustments in flood-risk management. This paper rethinks these policy adjustments and discusses how China should adapt to newly emerging flood challenges. We suggest that China needs novel flood-risk management approaches to address the new challenges from rapid urbanization and climate change. These include risk-based urban planning and a coordinated water governance system.
Paolo Scussolini, Jeroen C. J. H. Aerts, Brenden Jongman, Laurens M. Bouwer, Hessel C. Winsemius, Hans de Moel, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 16, 1049–1061, https://doi.org/10.5194/nhess-16-1049-2016, https://doi.org/10.5194/nhess-16-1049-2016, 2016
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Assessments of flood risk, on global to local scales, are becoming more urgent with ongoing climate change and with rapid socioeconomic developments. Such assessments need information about existing flood protection, still largely unavailable. Here we present the first open-source database of FLood PROtection Standards, FLOPROS, which enables more accurate modelling of flood risk. We also invite specialists to contribute new information to this evolving database.
P. Scussolini, E. van Sebille, and J. V. Durgadoo
Clim. Past, 9, 2631–2639, https://doi.org/10.5194/cp-9-2631-2013, https://doi.org/10.5194/cp-9-2631-2013, 2013
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Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Belinda Rhein and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2024-2066, https://doi.org/10.5194/egusphere-2024-2066, 2024
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The 2021 flood killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-119, https://doi.org/10.5194/nhess-2024-119, 2024
Revised manuscript accepted for NHESS
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data, but face issues due to rare rainfall events, lack of data, and climate change. Counterfactuals, or "what if" scenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve future flood preparation.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
EGUsphere, https://doi.org/10.5194/egusphere-2024-909, https://doi.org/10.5194/egusphere-2024-909, 2024
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Edward Robert Schenk, Alex Wood, Allen Haden, Gabriel Baca, Jake Fleishman, and Joe Loverich
EGUsphere, https://doi.org/10.5194/egusphere-2023-2163, https://doi.org/10.5194/egusphere-2023-2163, 2023
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Post-wildfire flooding and debris is dangerous and damaging. This study used three different sediment models to predict post-wildfire sediment sources and transport amounts downstream of the 2019 Museum Fire in northern Arizona, USA. The predictions were compared with real-world measurements of sediment that was cleaned out of the city of Flagstaff after four large floods in 2021. Results provide avenues for continued model refinement and an example of potential mitigation strategies.
Cited articles
Aerts, J.: A Review of Cost Estimates for Flood Adaptation, Water, 10, 33,
https://doi.org/10.3390/w10111646, 2018.
Aerts, J. C. J. H., Botzen, W. J. W., Emanuel, K., Lin, N., de Moel, H., and
Michel-Kerjan, E. O.: Evaluating Flood Resilience Strategies for Coastal
Megacities, Science, 344, 472–474, https://doi.org/10.1126/science.1248222,
2014.
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon, P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a
warmer world, Earths Future, 5, 171–182,
https://doi.org/10.1002/2016ef000485, 2017.
Anselin, L.: Local Indicators of Spatial Association – LISA, Geogr.
Anal., 27, 93–115, https://doi.org/10.1111/j.1538-4632.1995.tb00338.x,
1995.
Bai, X., Shi, P., and Liu, Y.: Realizing China's urban dream, Nature, 509,
158–160, https://doi.org/10.1038/509158a, 2014.
Birkmann, J., Welle, T., Solecki, W., Lwasa, S., and Garschagen, M.: Boost
resilience of small and mid-sized cities, Nature, 537, 605–608,
https://doi.org/10.1038/537605a, 2016.
Chakravorty, S., Koo, J., and Lall, S. V.: Metropolitan industrial clusters;
patterns and processes, the World Bank, the United States,
2003.
Cheng, X. and Li, C.: The Evolution Trend, Key Features and Countermeasures
of Urban Flood Risk, China Flood & Drought Management, 25, 6–9,
https://doi.org/10.16867/j.cnki.cfdm.2015.03.002, 2015.
Cheng, X., Wan, H., Huang, S., Li, C., and Zhang, H.: Lessons learned from
the 2016 Yangtze River flood in Anhui province, China, International Journal
of River Basin Management, 16, 307–314,
https://doi.org/10.1080/15715124.2018.1437741, 2018.
Cross, J. A.: Megacities and small towns: different perspectives on hazard
vulnerability, Global Environmental Change Part B: Environmental Hazards, 3,
63–80, https://doi.org/10.1016/S1464-2867(01)00020-1, 2001.
De Boer, J., Botzen, W. J. W., and Terpstra, T.: Improving Flood Risk
Communication by Focusing on Prevention-Focused Motivation, Risk Anal.,
34, 309–322, https://doi.org/10.1111/risa.12091, 2014.
Deng, Y., Wu, H., Sun, D., and Zhao, Z.: Flood protection capacity analysis
on levee of Taihu Lake, China Flood Drought Management, 25, 72–75,
https://doi.org/10.16867/j.cnki.cfdm.2015.05.022, 2015.
Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Salinas, J. L., and Blöschl, G.: Socio-hydrology: conceptualising human-flood interactions, Hydrol. Earth Syst. Sci., 17, 3295–3303, https://doi.org/10.5194/hess-17-3295-2013, 2013.
Di Baldassarre, G., Viglione, A., Carr, G., Kuil, L., Yan, K., Brandimarte, L., and Bloeschl, G.: DebatesPerspectives on socio-hydrology: Capturing
feedbacks between physical and social processes, Water Resour. Res.,
51, 4770–4781, https://doi.org/10.1002/2014wr016416, 2015.
Division of Urban Social and Economic Survey of National Bureau of
Statistics: Statistical Yearbook of Chinese Cities, China Statistical Press,
Beijing, 2016.
Du, S., Cheng, X., Huang, Q., Chen, R., Ward, P. J., and Aerts, J. C. J. H.: Brief communication: Rethinking the 1998 China floods to prepare for a nonstationary future, Nat. Hazards Earth Syst. Sci., 19, 715–719, https://doi.org/10.5194/nhess-19-715-2019, 2019.
Du, S., Scussolini, P., Ward, P. J., Zhang, M., Wen, J., Wang, L., Koks, E.,
Diaz-Loaiza, A., Gao, J., Ke, Q., and Aerts, J. C. J. H.: Hard or soft flood
adaptation? Advantages of a hybrid strategy for Shanghai, Global
Environ. Chang., 61, 102037,
https://doi.org/10.1016/j.gloenvcha.2020.102037, 2020.
Du, S., Shen, J., Fang, J., Fang, J., Liu, W., Wen, J., Huang, X., and Chen, S.: Policy delivery gaps in the land-based flood risk management in China: A
wider partnership is needed, Environ. Sci. Policy, 116,
128–135, https://doi.org/10.1016/j.envsci.2020.11.005, 2021.
Du, S. Q., He, C. Y., Huang, Q. X., and Shi, P. J.: How did the urban land
in floodplains distribute and expand in China from 1992–2015?, Environ.
Res. Lett., 13, 034018, https://doi.org/10.1088/1748-9326/aaac07, 2018.
Fang, Y. Q., Du, S. Q., Scussolini, P., Wen, J. H., He, C. Y., Huang, Q. X.,
and Gao, J.: Rapid Population Growth in Chinese Floodplains from 1990 to
2015, Int. J. Env. Res. Pub. He., 15, 1602,
https://doi.org/10.3390/ijerph15081602, 2018.
Frigerio, I., Carnelli, F., Cabinio, M., and De Amicis, M.: Spatiotemporal
Pattern of Social Vulnerability in Italy, Int. J. Disast. Risk Sc., 9,
249–262, https://doi.org/10.1007/s13753-018-0168-7, 2018.
Goodchild, M. F. and Glennon, J. A.: Crowdsourcing geographic information
for disaster response: a research frontier, Int. J. Digit. Earth, 3,
231–241, https://doi.org/10.1080/17538941003759255, 2010.
Gu, H., Du, S., Liao, B., Wen, J., Wang, C., Chen, R., and Chen, B.: A
hierarchical pattern of urban social vulnerability in Shanghai, China and
its implications for risk management, Sustain. Cities Soc., 41,
170–179, https://doi.org/10.1016/j.scs.2018.05.047, 2018.
Haer, T., Husby, T. G., Botzen, W. J. W., and Aerts, J. C. J. H.: The safe
development paradox: An agent-based model for flood risk under climate
change in the European Union, Global Environ. Chang., 60, 102009,
https://doi.org/10.1016/j.gloenvcha.2019.102009, 2020.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future
flood losses in major coastal cities, Nat. Clim. Change, 3, 802–806,
https://doi.org/10.1038/nclimate1979, 2013.
Han, J., Zhang, Z., and Qi, Q.: Analysis and Visualization of the Uneven
Distribution of Population in China, Geo-Information Science, 9,
14–19, https://doi.org/10.3969/j.issn.1560-8999.2007.06.003, 2007.
Han, Y. P., Huang, Q. X., He, C. Y., Fang, Y. Q., Wen, J. H., Gao, J., and
Du, S. Q.: The growth mode of built-up land in floodplains and its impacts
on flood vulnerability, Sci. Total Environ., 700, 134462,
https://doi.org/10.1016/j.scitotenv.2019.134462, 2020.
He, C., Huang, Q., Dou, Y., Wei, T., and Liu, J.: The population in China's
earthquake-prone areas has increased by over 32 million along with rapid
urbanization, Environ. Res. Lett., 11, 074028,
https://doi.org/10.1088/1748-9326/aa5dec, 2016.
Huang, Q., Yin, D., He, C., Yan, J., Liu, Z., Meng, S., Ren, Q., Zhao, R.,
and Inostroza, L.: Linking ecosystem services and subjective well-being in
rapidly urbanizing watersheds: Insights from a multilevel linear model,
Ecosyst. Serv., 43, 101106, https://doi.org/10.1016/j.ecoser.2020.101106, 2020.
Jiang, Y., Zhi, Y., Zhao, H., Liang, L., Cao, Y., and Gu, J.: Research
status and prospects on water conservancy big data, Journal of Hydroelectric
Engineering, 39, 1–32, https://doi.org/10.11660/slfdxb.20201001, 2020.
Jongman, B.: Effective adaptation to rising flood risk COMMENT, Nat.
Commun., 9, 1986, https://doi.org/10.1038/s41467-018-04396-1, 2018.
Jongman, B., Ward, P. J., and Aerts, J. C. J. H.: Global exposure to river
and coastal flooding: Long term trends and changes, Global Environ.
Chang., 22, 823–835, https://doi.org/10.1016/j.gloenvcha.2012.07.004, 2012.
Jongman, B., Hochrainer-Stigler, S., Feyen, L., Aerts, J., Mechler, R.,
Botzen, W. J. W., Bouwer, L. M., Pflug, G., Rojas, R., and Ward, P. J.:
Increasing stress on disaster-risk finance due to large floods, Nat.
Clim. Change, 4, 264–268, https://doi.org/10.1038/nclimate2124, 2014.
Jonkman, S. N.: Advanced flood risk analysis required, Nat. Clim.
Change, 3, 1004, https://doi.org/10.1038/nclimate2031, 2013.
Kates, R. W., Colten, C. E., Laska, S., and Leatherman, S. P.:
Reconstruction of New Orleans after Hurricane Katrina: A research
perspective, P. Natl. Acad. Sci. USA, 103, 14653–14660,
https://doi.org/10.1073/pnas.0605726103, 2006.
Koks, E. E., Jongman, B., Husby, T. G., and Botzen, W. J. W.: Combining
hazard, exposure and social vulnerability to provide lessons for flood risk
management, Environ. Sci. Policy, 47, 42–52,
https://doi.org/10.1016/j.envsci.2014.10.013, 2015.
Kwadijk, J. C. J., Haasnoot, M., Mulder, J. P. M., Hoogvliet, M. M. C.,
Jeuken, A. B. M., van der Krogt, R. A. A., van Oostrom, N. G. C.,
Schelfhout, H. A., van Velzen, E. H., van Waveren, H., and de Wit, M. J. M.:
Using adaptation tipping points to prepare for climate change and sea level
rise: a case study in the Netherlands, Wires Clim. Change, 1, 729–740,
https://doi.org/10.1002/wcc.64, 2010.
Li, Y. H., Jia, L. R., Wu, W. H., Yan, J. Y., and Liu, Y. S.: Urbanization
for rural sustainability – Rethinking China's urbanization strategy, J.
Clean Prod., 178, 580–586, https://doi.org/10.1016/j.jclepro.2017.12.273,
2018.
Liang, P., Xu, W., Ma, Y., Zhao, X., and Qin, L.: Increase of Elderly
Population in the Rainstorm Hazard Areas of China, Int. J. Env. Res. Pub. He., 14, 963,
https://doi.org/10.3390/ijerph14090963, 2017.
Liu, S.: Calculation of Flood Control Capacity in Quzhou under Current
Conditions, Journal of Zhejiang University of Water Resources and Electric
Power, 29, 27–31, available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=ZJSL201705007&DbName=CJFQ2017 (last access: 22 February 2021), 2017.
Liu, Y. S. and Li, Y. H.: Revitalize the world's countryside, Nature, 548,
275–277, https://doi.org/10.1038/548275a, 2017.
Meng, X.: People Flocking to China's Cities, Science, 343, 138–139,
https://doi.org/10.1126/science.1244814, 2014.
Mokrech, M., Kebede, A. S., Nicholls, R. J., Wimmer, F., and Feyen, L.: An
integrated approach for assessing flood impacts due to future climate and
socio-economic conditions and the scope of adaptation in Europe, Climatic
Change, 128, 245–260, https://doi.org/10.1007/s10584-014-1298-6, 2015.
National Bureau of Statistics of China: China Statistical Yearbook 2014,
Beiijing, China, 2015.
Qiang, Y.: Disparities of population exposed to flood hazards in the United
States, J. Environ. Manage., 232, 295–304,
https://doi.org/10.1016/j.jenvman.2018.11.039, 2019.
Rudari, R., Silvestro, F., Campo, L., Rebora, N., Boni, G., and Herold, C.:
Improvement of the global food model for the GAR 2015, United Nations Office
for Disaster Risk Reduction (UNISDR), Centro Internazionale in Monitoraggio
Ambientale (CIMA), UNEP GRID, Arendal, 69, 2015.
Salvati, P., Petrucci, O., Rossi, M., Bianchi, C., Pasqua, A. A., and
Guzzetti, F.: Gender, age and circumstances analysis of flood and landslide
fatalities in Italy, Sci. Total Environ., 610, 867–879,
https://doi.org/10.1016/j.scitotenv.2017.08.064, 2018.
Scussolini, P., Aerts, J. C. J. H., Jongman, B., Bouwer, L. M., Winsemius, H. C., de Moel, H., and Ward, P. J.: FLOPROS: an evolving global database of flood protection standards, Nat. Hazards Earth Syst. Sci., 16, 1049–1061, https://doi.org/10.5194/nhess-16-1049-2016, 2016.
Shen, J., Du, S. Q., Huang, Q. X., Yin, J., Zhang, M., Wen, J. H., and Gao, J.: Mapping the city-scale supply and demand of ecosystem flood regulation
services-A case study in Shanghai, Ecol. Indic., 106, 8,
https://doi.org/10.1016/j.ecolind.2019.105544, 2019.
Smith, A., Bates, P. D., Wing, O., Sampson, C., Quinn, N., and Neal, J.: New
estimates of flood exposure in developing countries using high-resolution
population data, Nat. Commun., 10, 7,
https://doi.org/10.1038/s41467-019-09282-y, 2019.
The World Bank: Health Nutrition and Population Statistics: Population
estimates and projections, the World Bank, the United States, 2019.
Tian, Q. and Lemos, M. C.: Household Livelihood Differentiation and
Vulnerability to Climate Hazards in Rural China, World Dev.,
108, 321–331, https://doi.org/10.1016/j.worlddev.2017.10.019, 2018.
United Nations: World Urbanization Prospects: The 2018 Revision, United Nations, the United States, 2018.
Wang, Z., Yu, Y., Ji, Y., and He, X.: Discussion on the mechanism of
temporary settlement and supply guarantee for residents in the detention
basin, Journal of Economics of Water Resources, 34, 75–78+82,
available at: https://kns.cnki.net/kcms/detail/detail.aspx?FileName=SLJJ201605018&DbName=CJFQ2016 (last access: 22 February 2021), 2016.
Ward, P. J., Jongman, B., Weiland, F. S., Bouwman, A., van Beek, R.,
Bierkens, M. F. P., Ligtvoet, W., and Winsemius, H. C.: Assessing flood risk
at the global scale: model setup, results, and sensitivity, Environ.
Res. Lett., 8, 044019, https://doi.org/10.1088/1748-9326/8/4/044019, 2013.
Ward, P. J., Jongman, B., Aerts, J., Bates, P. D., Botzen, W. J. W., Loaiza, A. D., Hallegatte, S., Kind, J. M., Kwadijk, J., Scussolini, P., and
Winsemius, H. C.: A global framework for future costs and benefits of
river-flood protection in urban areas, Nature Clim. Change, 7,
642–646,
https://doi.org/10.1038/nclimate3350, 2017.
Willner, S. N., Levermann, A., Zhao, F., and Frieler, K.: Adaptation
required to preserve future high-end river flood risk at present levels,
Sci. Adv., 4, 1914, https://doi.org/10.1126/sciadv.aao1914, 2018.
Winsemius, H. C., Jongman, B., Veldkamp, T. I. E., Hallegatte, S.,
Bangalore, M., and Ward, P. J.: Disaster risk, climate change, and poverty:
assessing the global exposure of poor people to floods and droughts,
Environ. Dev. Econ., 23, 328–348, https://doi.org/10.1017/s1355770x17000444,
2018.
Wu, J., Huang, L., Liu, Y., Peng, J., Li, W., Gao, S., and Kang, C.: Traffic
Flow Simulation Based on Call Detail Records, Acta Geogr. Sin., 67,
1657–1665, https://doi.org/10.11821/xb201212007, 2012.
Zhou, Z.: Research on Influence of Land Subsidence on Flood Control Capacity
in the Downstream Area of Daqing River, Yellow River 40, 43–48,
https://doi.org/10.3969/j.issn.1000-1379.2018.06.010, 2018.
Zhu, B., Fu, Y., Liu, J. L., He, R. X., Zhang, N., and Mao, Y.: Detecting
the priority areas for health workforce allocation with LISA functions: an
empirical analysis for China, BMC Health Serv. Res., 18, 14,
https://doi.org/10.1186/s12913-018-3737-y, 2018.
Short summary
Flood protection level (FPL) is vital for risk analysis and management but scarce in realty particularly for developing countries. This paper develops a policy-based FPL dataset for China and validates it using local FPL designs. The FPLs are much higher than that in a global database, suggesting Chinese flood risk could be lower with the policy-required FPLs. Moreover, the FPLs are lower for western China and vulnerable people, implying a spatial and social divergence of the FPLs.
Flood protection level (FPL) is vital for risk analysis and management but scarce in realty...
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