Articles | Volume 22, issue 5
https://doi.org/10.5194/nhess-22-1519-2022
© Author(s) 2022. 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-22-1519-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
04 May 2022
Research article |
| 04 May 2022
| 04 May 2022
System vulnerability to flood events and risk assessment of railway systems based on national and river basin scales in China
Weihua Zhu
School of National Safety and Emergency Management, Beijing Normal
University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Beijing Normal
University, Beijing 100875, China
Kai Liu
CORRESPONDING AUTHOR
School of National Safety and Emergency Management, Beijing Normal
University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Beijing Normal
University, Beijing 100875, China
Ming Wang
School of National Safety and Emergency Management, Beijing Normal
University, Beijing 100875, China
Academy of Disaster Reduction and Emergency Management, Beijing Normal
University, Beijing 100875, China
Philip J. Ward
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam,
1081 HV Amsterdam, the Netherlands
Elco E. Koks
Institute for Environmental Studies (IVM), Vrije Universiteit Amsterdam,
1081 HV Amsterdam, the Netherlands
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Giuliano Di Baldassarre, Heidi Kreibich, Sergiy Vorogushyn, Jeroen Aerts, Karsten Arnbjerg-Nielsen, Marlies Barendrecht, Paul Bates, Marco Borga, Wouter Botzen, Philip Bubeck, Bruna De Marchi, Carmen Llasat, Maurizio Mazzoleni, Daniela Molinari, Elena Mondino, Johanna Mård, Olga Petrucci, Anna Scolobig, Alberto Viglione, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 5629–5637, https://doi.org/10.5194/hess-22-5629-2018, https://doi.org/10.5194/hess-22-5629-2018, 2018
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One common approach to cope with floods is the implementation of structural flood protection measures, such as levees. Numerous scholars have problematized this approach and shown that increasing levels of flood protection can generate a false sense of security and attract more people to the risky areas. We briefly review the literature on this topic and then propose a research agenda to explore the unintended consequences of structural flood protection.
Anouk I. Gevaert, Ted I. E. Veldkamp, and Philip J. Ward
Hydrol. Earth Syst. Sci., 22, 4649–4665, https://doi.org/10.5194/hess-22-4649-2018, https://doi.org/10.5194/hess-22-4649-2018, 2018
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Drought is a natural hazard that has severe environmental and socioeconomic impacts around the globe. Here, we quantified the time taken for drought to propagate from precipitation droughts to soil moisture and streamflow droughts. Results show that propagation timescales are strongly related to climate type, with fast responses in tropical regions and slow responses in arid regions. Insight into the timescales of drought propagation globally may help improve seasonal drought forecasting.
Marleen C. de Ruiter, Philip J. Ward, James E. Daniell, and Jeroen C. J. H. Aerts
Nat. Hazards Earth Syst. Sci., 17, 1231–1251, https://doi.org/10.5194/nhess-17-1231-2017, https://doi.org/10.5194/nhess-17-1231-2017, 2017
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This study provides cross-discipline lessons for earthquake and flood vulnerability assessment methods by comparing indicators used in both fields. It appears that there is potential for improvement of these methods that can be obtained for both earthquake and flood vulnerability assessment indicators. This increased understanding is beneficial for both scientists as well as practitioners working with earthquake and/or flood vulnerability assessment methods.
Jidong Wu, Xu Wang, and Elco Koks
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-17, https://doi.org/10.5194/nhess-2017-17, 2017
Preprint withdrawn
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Building stock loss occupied a meaningful part of sudden-onset disasters, while raster-level building asset distribution map is scarce and not sufficient for disaster risk estimation. This paper introduces an efficient way for building asset value mapping by downscaling, given that the statistical building floor area and a building footprint map are available. It is expected that the method used in this paper is transferable to be applied in other cities if the two datasets are all available.
Elco E. Koks, Lorenzo Carrera, Olaf Jonkeren, Jeroen C. J. H. Aerts, Trond G. Husby, Mark Thissen, Gabriele Standardi, and Jaroslav Mysiak
Nat. Hazards Earth Syst. Sci., 16, 1911–1924, https://doi.org/10.5194/nhess-16-1911-2016, https://doi.org/10.5194/nhess-16-1911-2016, 2016
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In this study we analyze the economic consequences for two flood scenarios in the Po River basin in Italy, using three regional disaster impact models: two hybrid IO models and a regionally CGE model. Modelling results indicate that the difference in estimated total (national) economic losses and the regional distribution of those losses may vary by up to a factor of 7 between the three models, depending on the type of recovery path. Total economic impact is negative in all models though.
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.
Yus Budiyono, Jeroen C. J. H. Aerts, Daniel Tollenaar, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 16, 757–774, https://doi.org/10.5194/nhess-16-757-2016, https://doi.org/10.5194/nhess-16-757-2016, 2016
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The paper describes a model framework for assessing flood risk in Jakarta under current and future scenarios (2030 and 2050) including climate change, sea level rise, land use change, and land subsidence. The results shows individual impact of future changes and serve as a basis to evaluate adaptation strategies in cities. They also show while the impacts of climate change alone on flood risk in Jakarta are highly uncertain, the combined impacts of all drivers reveal a strong increase in risk.
D. Lee, P. Ward, and P. Block
Hydrol. Earth Syst. Sci., 19, 4689–4705, https://doi.org/10.5194/hess-19-4689-2015, https://doi.org/10.5194/hess-19-4689-2015, 2015
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This paper presents a global approach to defining high-flow seasons by identifying temporal patterns of streamflow. Simulations of streamflow from the PCR-GLOBWB model are evaluated to define dominant and minor high-flow seasons globally, and verified with GRDC observations and flood records from Dartmouth Flood Observatory.
T. I. E. Veldkamp, S. Eisner, Y. Wada, J. C. J. H. Aerts, and P. J. Ward
Hydrol. Earth Syst. Sci., 19, 4081–4098, https://doi.org/10.5194/hess-19-4081-2015, https://doi.org/10.5194/hess-19-4081-2015, 2015
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Freshwater shortage is one of the most important risks, partially driven by climate variability. Here we present a first global scale sensitivity assessment of water scarcity events to El Niño-Southern Oscillation, the most dominant climate variability signal. Given the found correlations, covering a large share of the global land area, and seen the developments of water scarcity impacts under changing socioeconomic conditions, we show that there is large potential for ENSO-based risk reduction.
W. T. Yang, M. Wang, N. Kerle, C. J. Van Westen, L. Y. Liu, and P. J. Shi
Nat. Hazards Earth Syst. Sci., 15, 817–825, https://doi.org/10.5194/nhess-15-817-2015, https://doi.org/10.5194/nhess-15-817-2015, 2015
B. Merz, J. Aerts, K. Arnbjerg-Nielsen, M. Baldi, A. Becker, A. Bichet, G. Blöschl, L. M. Bouwer, A. Brauer, F. Cioffi, J. M. Delgado, M. Gocht, F. Guzzetti, S. Harrigan, K. Hirschboeck, C. Kilsby, W. Kron, H.-H. Kwon, U. Lall, R. Merz, K. Nissen, P. Salvatti, T. Swierczynski, U. Ulbrich, A. Viglione, P. J. Ward, M. Weiler, B. Wilhelm, and M. Nied
Nat. Hazards Earth Syst. Sci., 14, 1921–1942, https://doi.org/10.5194/nhess-14-1921-2014, https://doi.org/10.5194/nhess-14-1921-2014, 2014
B. Jongman, E. E. Koks, T. G. Husby, and P. J. Ward
Nat. Hazards Earth Syst. Sci., 14, 1245–1255, https://doi.org/10.5194/nhess-14-1245-2014, https://doi.org/10.5194/nhess-14-1245-2014, 2014
P. J. Ward, S. Eisner, M. Flörke, M. D. Dettinger, and M. Kummu
Hydrol. Earth Syst. Sci., 18, 47–66, https://doi.org/10.5194/hess-18-47-2014, https://doi.org/10.5194/hess-18-47-2014, 2014
H. C. Winsemius, L. P. H. Van Beek, B. Jongman, P. J. Ward, and A. Bouwman
Hydrol. Earth Syst. Sci., 17, 1871–1892, https://doi.org/10.5194/hess-17-1871-2013, https://doi.org/10.5194/hess-17-1871-2013, 2013
B. Jongman, H. Kreibich, H. Apel, J. I. Barredo, P. D. Bates, L. Feyen, A. Gericke, J. Neal, J. C. J. H. Aerts, and P. J. Ward
Nat. Hazards Earth Syst. Sci., 12, 3733–3752, https://doi.org/10.5194/nhess-12-3733-2012, https://doi.org/10.5194/nhess-12-3733-2012, 2012
Related subject area
Hydrological Hazards
The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context
Brief communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards
Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam
Tangible and intangible ex post assessment of flood-induced damage to cultural heritage
A multivariate statistical framework for mixed storm types in compound flood analysis
Invited perspectives: safeguarding the usability and credibility of flood hazard and risk assessments
Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress
The effect of wildfires on flood risk: a multi-hazard flood risk approach for the Ebro River basin, Spain
Modelling hazards impacting the flow regime in the Hranice Karst due to the proposed Skalička Dam
Spatiotemporal variability of flash floods and their human impacts in the Czech Republic during the 2001–2023 period
Risk of compound flooding substantially increases in the future Mekong River delta
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Floods in the Pyrenees: a global view through a regional database
Algorithmically detected rain-on-snow flood events in different climate datasets: a case study of the Susquehanna River basin
Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems
Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
Multi-scale hydraulic graph neural networks for flood modelling
Monte-Carlo based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in Western Germany
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Probabilistic flood inundation mapping through copula Bayesian multi-modeling of precipitation products
Flood occurrence and impact models for socioeconomic applications over Canada and the United States
Model-based assessment of climate change impact on inland flood risk at the German North Sea coast caused by compounding storm tide and precipitation events
Causes of the exceptionally high number of fatalities in the Ahr valley, Germany, during the 2021 flood
Dynamics and Impacts of Monsoon-Induced Geological Hazards: A 2022 Flood Study along the Swat River in Pakistan
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem
Hydrometeorological controls of and social response to the 22 October 2019 catastrophic flash flood in Catalonia, north-eastern Spain
A downward-counterfactual analysis of flash floods in Germany
Hyper-resolution flood hazard mapping at the national scale
Compound droughts under climate change in Switzerland
Brief communication: SWM – stochastic weather model for precipitation-related hazard assessments using ERA5-Land data
Text mining uncovers the unique dynamics of socio-economic impacts of the 2018–2022 multi-year drought in Germany
The value of multi-source data for improved flood damage modelling with explicit input data uncertainty treatment: INSYDE 2.0
Limited effect of the confluence angle and tributary gradient on Alpine confluence morphodynamics under intense sediment loads
Does a convection-permitting regional climate model bring new perspectives on the projection of Mediterranean floods?
Added value of seasonal hindcasts to create UK hydrological drought storylines
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Current and future rainfall-driven flood risk from hurricanes in Puerto Rico under 1.5 and 2 °C climate change
Using integrated hydrological–hydraulic modelling and global data sources to analyse the February 2023 floods in the Umbeluzi Catchment (Mozambique)
Impact-based flood forecasting in the Greater Horn of Africa
Detection of flooding by overflows of the drainage network: Application to the urban area of Dakar (Senegal)
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
Nat. Hazards Earth Syst. Sci., 25, 247–265, https://doi.org/10.5194/nhess-25-247-2025, https://doi.org/10.5194/nhess-25-247-2025, 2025
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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 ones. 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.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 4609–4615, https://doi.org/10.5194/nhess-24-4609-2024, https://doi.org/10.5194/nhess-24-4609-2024, 2024
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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 ifscenarios, 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 preparedness for future floods.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 24, 4385–4408, https://doi.org/10.5194/nhess-24-4385-2024, https://doi.org/10.5194/nhess-24-4385-2024, 2024
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This study presents a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explore multi-hazard assessment and risk through a machine learning modeling approach. The process includes collecting a database of topography, climate, geology, environment, and building data; developing models for multi-hazard assessment and coding in the Google Earth Engine; and producing credible multi-hazard susceptibility and building exposure maps.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci., 24, 4317–4339, https://doi.org/10.5194/nhess-24-4317-2024, https://doi.org/10.5194/nhess-24-4317-2024, 2024
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
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Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
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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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
EGUsphere, https://doi.org/10.5194/egusphere-2024-2621, https://doi.org/10.5194/egusphere-2024-2621, 2024
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Deep learning methods are increasingly used as surrogates for spatio-temporal flood models but struggle with generalization and speed. Here, we propose a multi-resolution approach using graph neural networks that predicts dike breach floods across different meshes, topographies, and boundary conditions with high accuracy and up to 1000x speedups. The model also generalizes to larger, more complex case studies with just one additional simulation for fine-tuning.
Shahin Khosh Bin Ghomash, Patricio Yeste, Heiko Apel, and Viet Dung Nguyen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-77, https://doi.org/10.5194/nhess-2024-77, 2024
Revised manuscript accepted for NHESS
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Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July 2021. We refine an RIM2D model for the Ahr region, analyzing the impact of various factors using Monte Carlo simulations. Accurate parameter assignment is crucial, with channel roughness and resolution playing key roles. Coarser resolutions are suitable for flood extent predictions, aiding early warning systems. Our work provides guidelines for optimizing hydrodynamic models in the Ahr region.
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.
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, Wang Hao, Adil Poshad Khan, Muhammad Waseem, Yao Shunyu, Muhammad Ramzan, Li Wanhong, and Tashfain Ahmed
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-95, https://doi.org/10.5194/nhess-2024-95, 2024
Revised manuscript accepted for NHESS
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This study examines the 2022 monsoon in the Swat River basin, Pakistan, where record rainfall exceeded averages by 7–8 %, causing catastrophic debris flows and floods. These events worsened challenges for low-income communities, resulting in extensive damage and financial instability. Field investigations, remote sensing, and simulations identified deforestation and steep topography as key factors. The study advocates for disaster mitigation, reforestation, and better land use planning.
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.
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.
Laurent Pascal Malang Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
EGUsphere, https://doi.org/10.5194/egusphere-2023-2458, https://doi.org/10.5194/egusphere-2023-2458, 2024
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We propose a decision support tool that detect the occurrence of flooding by drainage overflow, with sufficiently short calculation times. The simulations are based on a drainage topology on 5m grids, incorporating changes to surface flows induced urbanization. The method can be used for flood mapping in project mode and in real time. It applies to the present situation as well as to any scenario involving climate change or urban growth.
Cited articles
Alfieri, L., Burek, P., Dutra, E., Krzeminski, B., Muraro, D., Thielen, J., and Pappenberger, F.: GloFAS – global ensemble streamflow forecasting and flood early warning, Hydrol. Earth Syst. Sci., 17, 1161–1175, https://doi.org/10.5194/hess-17-1161-2013, 2013.
Arnell, N. W. and Gosling, S. N.: The impacts of climate change on river
flood risk at the global scale, Clim. Change, 134, 387–401,
https://doi.org/10.1007/s10584-014-1084-5, 2016.
Baker, J. W.: An introduction to probabilistic seismic hazard analysis(PSHA), White Paper, Version 1.3, 2008, Stanford University, https://www.jackwbaker.com/Publications/Baker_(2008)_Intro_to_PSHA_v1_3.pdf (last access: 19 May 2020), 2008.
Becker, A. and Grünewald, U.: Flood Risk in Central Europe, Science, 300, 1099, https://doi.org/10.1126/science.1083624, 2003.
Beek, L. P. H. van and Bierkens, M. F. P.: The Global Hydrological Model PCR-GLOBWB: Conceptualization, Parameterization and Verification, Report Department of Physical Geography, Utrecht University, Utrecht, The Netherlands,
http://vanbeek.geo.uu.nl/suppinfo/vanbeekbierkens2009.pdf (last access: 19 May 2020), 2008.
Beek, L. P. H. van, Wada, Y., and Bierkens, M. F. P.: Global monthly water stress: 1. Water balance and water availability, Water Resour. Res., 47, W07517, https://doi.org/10.1029/2010WR009791, 2011.
Benn, J.: Railway bridge failure during flooding in the UK and Ireland,
Proc. Inst. Civ. Eng. Eng., 166, 163–170, 2013.
Chang, H., Lafrenz, M., Jung, I. W., Figliozzi, M., Platman, D., and
Pederson, C.: Potential impacts of climate change on Flood-Induced Travel
Disruptions: A Case Study of Portland, Oregon, USA, Ann. Assoc. Am. Geogr.,
100, 938–952, https://doi.org/10.1080/00045608.2010.497110, 2010.
Chinese Railway Service Website: Train timetable data, https://www.12306.cn/index/, last access: 19 May 2020.
CRPH: High-speed railway emergency response plan, edited by: China railway Publishing House, Beijing,
http://www.nra.gov.cn/xxgkml/xxgk/xxgkml/201908/P020190830510214110215.pdf (last access: 19 May 2020), 2012.
CRPH: Code for design of railway earth structure, edited by China railway Publishing House, Beijing,
https://max.book118.com/html/2019/0930/6035141105002111.shtm (last access: 19 May 2020), 2016.
de Moel, H. and Aerts, J. C. J. H.: Effect of uncertainty in land use,
damage models and inundation depth on flood damage estimates, Nat. Hazards,
58, 407–425, https://doi.org/10.1007/s11069-010-9675-6, 2011.
de Moel, H., Asselman, N. E. M., and Aerts, J. C. J. H.: Uncertainty and sensitivity analysis of coastal flood damage estimates in the west of the Netherlands, Nat. Hazards Earth Syst. Sci., 12, 1045–1058, https://doi.org/10.5194/nhess-12-1045-2012, 2012.
Dottori, F., Salamon, P., Bianchi, A., Alfieri, L., Hirpa, F. A., and Feyen,
L.: Development and evaluation of a framework for global flood hazard
mapping, Adv. Water Resour., 94, 87–102,
https://doi.org/10.1016/j.advwatres.2016.05.002, 2016.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2001.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2002.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2003.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2004.
Editorial Board of China Railway Yearbook : China railway yearbook, China Railway Publishing House, Beijing , ISSN 1009-6957, 2005.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2006.
Editorial Board of China Railway Yearbook : China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2007.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2008.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2009.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2010.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2011.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2012.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2013.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2014.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2015.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2016.
Editorial Board of China Railway Yearbook: China railway yearbook, China Railway Publishing House, Beijing, ISSN 1009-6957, 2017.
Espinet, X., Rozenberg, J., Ogita, K. S. R. S., Singh Rao, K., and Ogita, S.: Piloting the Use of Network Analysis and Decision-Making under Uncertainty in Transport Operations: Preparation and Appraisal of a Rural Roads Project in Mozambique under Changing Flood Risk and Other Deep Uncertainties, Policy Research Working Paper, No. 8490, World Bank, Washington, DC, © World Bank, https://openknowledge.worldbank.org/handle/10986/29943 (last access: 19 May 2020), 2018.
Fraiture, C.: Integrated water and food analysis at the global and basin level. An application of WATERSIM, Water Resour. Manag., 21, 185–198, https://doi.org/10.1007/978-1-4020-5591-1-12, 2007.
GFDRR: Tbilisi disaster needs assessment 2015, https://reliefweb.int/sites/reliefweb.int/files/resources/tbilisi_disaster_needs_assessment_2015.pdf (last access: 19 May 2020), 2015.
Gil, J. and Steinbach, P.: From flood risk to indirect flood impact:
Evaluation of street network performance for effective management, response
and repair, WIT Trans. Ecol. Environ., 118, 335–344,
https://doi.org/10.2495/FRIAR080321, 2008.
Gong, M., Wang, Y., Wang, S., and Liu, W.: Enhancing robustness of
interdependent network under recovery based on a two-layer-protection
strategy, Sci. Rep., 7, 1–13, https://doi.org/10.1038/s41598-017-13063-2, 2017.
Haimes, Y. Y.: On the complex definition of risk: A systems-based approach,
Risk Anal., 29, 1647–1654, https://doi.org/10.1111/j.1539-6924.2009.01310.x, 2009.
Hirabayashi, Y., Mahendran, R., Koirala, S., Konoshima, L., Yamazaki, D.,
Watanabe, S., Kim, H., and Kanae, S.: Global flood risk under climate change,
Nat. Clim. Chang., 3, 816–821, https://doi.org/10.1038/nclimate1911, 2013.
Hong, L., Ouyang, M., Peeta, S., He, X., and Yan, Y.: Vulnerability
assessment and mitigation for the Chinese railway system under floods,
Reliab. Eng. Syst. Saf., 137, 58–68,
https://doi.org/10.1016/j.ress.2014.12.013, 2015.
Horacio, J., Ollero, A., Noguera, I., and Fernández-Pasquier, V.:
Flooding, channel dynamics and transverse infrastructure: a challenge for
Middle Ebro river management, J. Maps, 15, 310–319,
https://doi.org/10.1080/17445647.2019.1592719, 2019.
Janic, M. and Vleugel, J.: Estimating potential reductions in externalities
from rail–road substitution in Trans-European freight transport corridors,
Transp. Res. Part D Transp. Environ., 17, 154–160,
https://doi.org/10.1016/j.trd.2011.09.015, 2012.
Jongman, B., Hochrainer-Stigler, S., Feyen, L., Aerts, J. C. J. H., 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.
Chang., 4, 264–268, https://doi.org/10.1038/nclimate2124, 2014.
Kellermann, P., Schöbel, A., Kundela, G., and Thieken, A. H.: Estimating flood damage to railway infrastructure – the case study of the March River flood in 2006 at the Austrian Northern Railway, Nat. Hazards Earth Syst. Sci., 15, 2485–2496, https://doi.org/10.5194/nhess-15-2485-2015, 2015.
Kellermann, P., Schönberger, C., and Thieken, A. H.: Large-scale application of the flood damage model RAilway Infrastructure Loss (RAIL), Nat. Hazards Earth Syst. Sci., 16, 2357–2371, https://doi.org/10.5194/nhess-16-2357-2016, 2016.
Koks, E. E. and Haer, T.: A high-resolution wind damage model for Europe,
Sci. Rep., 10, 1–11, https://doi.org/10.1038/s41598-020-63580-w, 2020.
Koks, E. E., Rozenberg, J., Zorn, C., Tariverdi, M., Vousdoukas, M., Fraser,
S. A., Hall, J. W., and Hallegatte, S.: A global multi-hazard risk analysis
of road and railway infrastructure assets, Nat. Commun., 10, 1–11,
https://doi.org/10.1038/s41467-019-10442-3, 2019.
Kundzewicz, Z. W., Pińskwar, I., and Brakenridge, R.: Large floods in Europe, 1985–2009, Int. Assoc. Sci. Hydrol. Bull., 58, 1–7, https://doi.org/10.1080/02626667.2012.745082, 2013.
Lamb, R., Garside, P., Pant, R., and Hall, J. W.: A Probabilistic Model of
the Economic Risk to Britain's Railway Network from Bridge Scour During
Floods, Risk Anal., 39, 2457–2478, https://doi.org/10.1111/risa.13370, 2019.
Lavers, D. A., Allan, R. P., Villarini, G., Lloydhughes, B., Brayshaw, D. J., and Wade, A. J.: Future changes in atmospheric rivers and their implications
for winter flooding in Britain, Environ. Res. Lett., 8, 34010, https://doi.org/10.1088/1748-9326/8/3/034010, 2013.
Liu, K., Wang, M., Cao, Y., Zhu, W., Wu, J., and Yan, X.: A comprehensive
risk analysis of transportation networks affected by rainfall-Induced
multihazards, Risk Anal., 38, 1618–1633, https://doi.org/10.1111/risa.12968, 2018a.
Liu, K., Wang, M., Cao, Y., Zhu, W., and Yang, G.: Susceptibility of existing
and planned Chinese railway system subjected to rainfall-induced
multi-hazards, Transp. Res. Part A Policy Pract., 117, 214–226, 2018b.
Lyu, H. M., Xu, Y. S., Cheng, W. C., and Arulrajah, A.: Flooding hazards
across Southern China and prospective sustainability measures, Sustain.,
10, 1–18, https://doi.org/10.3390/su10051682, 2018.
Marsden, M. J.: Quadratic spline interpolation, Bull. Am. Math. Soc., 80,
903–906, https://doi.org/10.1090/S0002-9904-1974-13566-4, 1974.
Meshram, S. G., Powar, P. L., and Meshram, C.: Comparison of cubic,
quadratic, and quintic splines for soil erosion modeling, Appl. Water Sci.,
8, 1–7, https://doi.org/10.1007/s13201-018-0807-6, 2018.
Metropolis, N.: The beginning of the Monte Carlo method, Los Alamos Science, (1987 Special Issue dedicated to Stanislaw Ulam), 1, 125–130, https://sgp.fas.org/othergov/doe/lanl/pubs/00326866.pdf (last access: 19 May 2020), 1987.
Moran, A. P., Thieken, A. H., Schöbel, A., and Rachoy, C.: Documentation of Flood Damage on Railway Infrastructure, in: Data
and Mobility, edited by: Düh, J., Hufnagl, H., Juritsch, E., Pfliegl, R., Schimany, H.-K., and Schönegger, H., AISC 81, Heidelberg, 61–70, https://doi.org/10.1007/978-3-642-15503-1_6, 2010.
Newman, M. E.: Networks An Introduction, Oxford University
Press, United States, https://doi.org/10.1093/acprof:oso/9780199206650.001.0001, 2010.
Nones, M. and Pescaroli, G.: Implications of cascading effects for the EU
Floods Directive, Int. J. River Basin Manag., 14, 195–204,
https://doi.org/10.1080/15715124.2016.1149074, 2016.
OpenStreetMap: Geographic railway system, https://www.openstreetmap.org/, last access: 19 May 2020.
Pregnolato, M., Ford, A., Wilkinson, S. M., and Dawson, R. J.: The impact of
flooding on road transport: A depth-disruption function, Transp. Res. Part D
Transp. Environ., 55, 67–81, https://doi.org/10.1016/j.trd.2017.06.020, 2017.
Prudhomme, C. and Genevier, M.: Can atmospheric circulation be linked to
flooding in Europe?, Hydrol. Process., 25, 1180–1190,
https://doi.org/10.1002/hyp.7879, 2011.
Resource and Environment Science and Data Center: River basin map, http://www.resdc.cn/, last access: 19 May 2020.
Reed, D. W.: A review of British railway bridge flood failures, Hydrol. Sci. Pract., 21st Century, I, 210–216, https://www.researchgate.net/profile/Duncan_Reed/publication/267254265_A_review_of_British_railway_bridge_flood_failures/links/5512efd60cf240060b2df24c.pdf (last access: 19 May 2020), 2004.
Rezvani, Z., Jansson, J., and Bodin, J.: Advances in consumer electric
vehicle adoption research: A review and research agenda, Transp. Res. Part D
Transp. Environ., 34, 122–136, https://doi.org/10.1016/j.trd.2014.10.010, 2015.
Rodrigue, J. P., Comtois, C., and Slack, B.: The geography of transport systems 4th edn., Taylor & Francis, https://doi.org/10.4324/9781315618159, 2016.
Rojas, R., Feyen, L., and Watkiss, P.: Climate change and river floods in the
European Union: Socio-economic consequences and the costs and benefits of
adaptation, Glob. Environ. Chang., 23, 1737–1751,
https://doi.org/10.1016/J.GLOENVCHA.2013.08.006, 2013.
Sampson, C. C., Smith, A. M., Bates, P. D., Neal, J. C., Alfieri, L., and Freer, J. E.: A high-resolution global flood hazard model, Water Resour. Res., 51, 7785–7789, https://doi.org/10.1002/2015WR016954, 2015.
Samuels, P. and Gouldby, B.: Language of Risk – Project definitions, 2nd ed., FLOODsite, Wallingford, UK, https://repository.tudelft.nl/islandora/object/uuid:268e1ef4-7b45-4b4d-8504-13d2f252e4d9?collection=research (last access: 19 May 2020), 2009.
Sene, K.: Flood warning, forecasting and emergency response, Springer, Berlin, Heidelberg, https://doi.org/10.1007/978-3-540-77853-0, 2008.
Singh, P., Sinha, V. S. P., Vijhani, A., and Pahuja, N.: Vulnerability
assessment of urban road network from urban flood, Int. J. Disaster Risk
Reduct., 28, 237–250, https://doi.org/10.1016/j.ijdrr.2018.03.017, 2018.
Speight, L. J., Hall, J. W., and Kilsby, C. G.: A multi-scale framework for
flood risk analysis at spatially distributed locations, J. Flood Risk
Manag., 10, 124–137, https://doi.org/10.1111/jfr3.12175, 2017.
Sun, W. and Yuan, Y.-X.: Optimization theory and methods:
nonlinear programming, edited by: Pardalos, P. M., Springer Science & Business Media, LLC, 233 Spring Street, New York, NY 10013, USA, ISBN 978-0-387-24975-9, 2006.
UNISDR: Global Assessment Report on Disaster Risk Reduction,
Revealing Risk, Redefining Development, https://www.preventionweb.net/english/hyogo/gar/2011/en/home/foreword.html (last access: 19 May 2020), 2011.
Vandebogert, K.: Method of quadratic interpolation, 1–22, https://people.math.sc.edu/kellerlv/Quadratic_Interpolation.pdf (last access: 19 May 2020), 2017.
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. C. J. H., Bates, P. D., Botzen, W. J.
W., DIaz Loaiza, A., 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, Nat. Clim. Chang., 7, 642–646,
https://doi.org/10.1038/nclimate3350, 2017.
Wei, S., Yuan, J., Qiu, Y., Luan, X., Han, S., Zhou, W., and Xu, C.:
Exploring the potential of open big data from ticketing websites to
characterize travel patterns within the Chinese high-speed rail system, PLoS
One, 12, 1–13, https://doi.org/10.1371/journal.pone.0178023, 2017.
Winsemius, H. C., Van Beek, L. P. H., Jongman, B., Ward, P. J., and Bouwman, A.: A framework for global river flood risk assessments, Hydrol. Earth Syst. Sci., 17, 1871–1892, https://doi.org/10.5194/hess-17-1871-2013, 2013.
Winsemius, H. C., Aerts, J. C. J. H., Van Beek, L. P. H., Bierkens, M. F.
P., Bouwman, A., Jongman, B., Kwadijk, J. C. J., Ligtvoet, W., Lucas, P. L.,
Van Vuuren, D. P., and Ward, P. J.: Global drivers of future river flood
risk, Nat. Clim. Chang., 6, 381–385, https://doi.org/10.1038/nclimate2893, 2016.
World Bank: GLOFRIS global fluvial flood hazard, https://datacatalog.worldbank.org/search/dataset/0038584, last access: 19 May 2020.
Wu, Q.: Risk analysis of seismic hazard correlation between nuclear power plants, in Risk Analysis Based on Data and Crisis Response Beyond Knowledge, edited by: Huang, C. and Nivolianitou, Z. S., 550–556, CRC Press, ISBN 9780429286346, 2019.
Yang, D., Pan, K., and Wang, S.: On service network improvement for shipping
lines under the one belt one road initiative of China, Transp. Res. Part E
Logist. Transp. Rev., 117, 82–95,
https://doi.org/10.1016/j.tre.2017.07.003, 2018.
Zhu, W., Liu, K., Wang, M., and Koks, E. E.: Seismic Risk Assessment of the
Railway Network of China's Mainland, Int. J. Disaster Risk Sci., 11,
452–465, https://doi.org/10.1007/s13753-020-00292-9, 2020.
Short summary
We present a simulation framework to analyse the system vulnerability and risk of the Chinese railway system to floods. To do so, we develop a method for generating flood events at both the national and river basin scale. Results show flood system vulnerability and risk of the railway system are spatially heterogeneous. The event-based approach shows how we can identify critical hotspots, taking the first steps in developing climate-resilient infrastructure.
We present a simulation framework to analyse the system vulnerability and risk of the Chinese...
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