Articles | Volume 20, issue 10
https://doi.org/10.5194/nhess-20-2647-2020
© Author(s) 2020. 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-20-2647-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
06 Oct 2020
Research article |
| 06 Oct 2020
| 06 Oct 2020
Building hazard maps with differentiated risk perception for flood impact assessment
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Jorge Leandro
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
Markus Disse
Chair of Hydrology and River Basin Management, Department of Civil,
Geo and Environmental Engineering,
Technical University of Munich, Arcisstrasse 21, 80333 Munich, Germany
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Punit Kumar Bhola, Jorge Leandro, and Markus Disse
Nat. Hazards Earth Syst. Sci., 19, 1445–1457, https://doi.org/10.5194/nhess-19-1445-2019, https://doi.org/10.5194/nhess-19-1445-2019, 2019
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This study investigates the use of measured water levels to reduce uncertainty bounds of two-dimensional hydrodynamic model output. Uncertainty assessment is generally not reported in practice due to the lack of best practices and too wide uncertainty bounds. Hence, a novel method to reduce the bounds by constraining the model parameter, mainly roughness, is presented. The operational practitioners as well as researchers benefit from the study in the field of flood risk management.
Fabian Merk, Timo Schaffhauser, Faizan Anwar, Ye Tuo, Jean-Martial Cohard, and Markus Disse
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Evapotranspiration (ET) is computed from the vegetation (plant transpiration) and soil (soil evaporation). In western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented using the leaf area index (LAI). In this study, we evaluate the importance of the LAI for ET calculation. We take a close look at this interaction and highlight its relevance. Our work contributes to the understanding of terrestrial water cycle processes .
Timo Schaffhauser, Florentin Hofmeister, Gabriele Chiogna, Fabian Merk, Ye Tuo, Julian Machnitzke, Lucas Alcamo, Jingshui Huang, and Markus Disse
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-89, https://doi.org/10.5194/hess-2024-89, 2024
Revised manuscript under review for HESS
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The glacier-expanded SWAT version, SWAT-GL, was tested in four different catchments. The assessment highlighted the capabilities of the glacier routine. It was evaluated based on the representation of glacier mass balance, snow cover and glacier hypsometry. It was shown that glacier changes over a long time scale could be adequately represented, leading to promising potential future applications in glaciated and high mountain environments.
Lu Tian, Markus Disse, and Jingshui Huang
Hydrol. Earth Syst. Sci., 27, 4115–4133, https://doi.org/10.5194/hess-27-4115-2023, https://doi.org/10.5194/hess-27-4115-2023, 2023
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Anthropogenic global warming accelerates the drought evolution in the water cycle, increasing the unpredictability of drought. The evolution of drought is stealthy and challenging to track. This study proposes a new framework to capture the high-precision spatiotemporal progression of drought events in their evolutionary processes and characterize their feature further. It is crucial for addressing the systemic risks within the hydrological cycle associated with drought mitigation.
Muhammad Fraz Ismail, Wolfgang Bogacki, Markus Disse, Michael Schäfer, and Lothar Kirschbauer
The Cryosphere, 17, 211–231, https://doi.org/10.5194/tc-17-211-2023, https://doi.org/10.5194/tc-17-211-2023, 2023
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Fresh water from mountainous catchments in the form of snowmelt and ice melt is of critical importance especially in the summer season for people living in these regions. In general, limited data availability is the core concern while modelling the snow and ice melt components from these mountainous catchments. This research will be helpful in selecting realistic parameter values (i.e. degree-day factor) while calibrating the temperature-index models for data-scarce regions.
Yang Yu, Markus Disse, Philipp Huttner, Xi Chen, Andreas Brieden, Marie Hinnenthal, Haiyan Zhang, Jiaqiang Lei, Fanjiang Zeng, Lingxiao Sun, Yuting Gao, and Ruide Yu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2020-80, https://doi.org/10.5194/hess-2020-80, 2020
Manuscript not accepted for further review
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The afforestation actions in China have attracted widely attention in recent years. This paper presents a hydro-ecological modeling approach to assess environmental changes and ecosystem services in the largest inland river basin in China. Our result indicates China's tree-planting in the Tarim River Basin is strictly strained by water stress and 25.9 % of the existing area of natural vegetation will be degraded by 2050. It is a warning for decision-makers and stakeholders.
Punit Kumar Bhola, Jorge Leandro, and Markus Disse
Nat. Hazards Earth Syst. Sci., 19, 1445–1457, https://doi.org/10.5194/nhess-19-1445-2019, https://doi.org/10.5194/nhess-19-1445-2019, 2019
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This study investigates the use of measured water levels to reduce uncertainty bounds of two-dimensional hydrodynamic model output. Uncertainty assessment is generally not reported in practice due to the lack of best practices and too wide uncertainty bounds. Hence, a novel method to reduce the bounds by constraining the model parameter, mainly roughness, is presented. The operational practitioners as well as researchers benefit from the study in the field of flood risk management.
Dagnenet Fenta Mekonnen, Zheng Duan, Tom Rientjes, and Markus Disse
Hydrol. Earth Syst. Sci., 22, 6187–6207, https://doi.org/10.5194/hess-22-6187-2018, https://doi.org/10.5194/hess-22-6187-2018, 2018
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Understanding responses by changes in land use and land cover (LULC) and climate over the past decades on streamflow in the upper Blue Nile River basin is important for water management and water resource planning. Streamflow in the UBNRB has shown an increasing trend over the last 40 years, while rainfall has shown no trend change. LULC change detection findings indicate increases in cultivated land and decreases in forest coverage prior to 1995.
Beatrice Dittes, Maria Kaiser, Olga Špačková, Wolfgang Rieger, Markus Disse, and Daniel Straub
Nat. Hazards Earth Syst. Sci., 18, 1327–1347, https://doi.org/10.5194/nhess-18-1327-2018, https://doi.org/10.5194/nhess-18-1327-2018, 2018
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We study flood protection options in a pre-alpine catchment in southern Germany. Protection systems are evaluated probabilistically, taking into account climatic and other uncertainties as well as the possibility of future adjustments. Despite large uncertainty in damage, cost, and climate, we arrive at a rough recommendation. Hence, one can make good decisions under large uncertainty. The results also show it is preferable to plan risk-based rather than protecting from a specific design flood.
Dagnenet Fenta Mekonnen and Markus Disse
Hydrol. Earth Syst. Sci., 22, 2391–2408, https://doi.org/10.5194/hess-22-2391-2018, https://doi.org/10.5194/hess-22-2391-2018, 2018
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In this study we used multimodel GCMs (because of recognized intervariable biases in host GCMs) and two widely used statistical downscaling techniques (LARS-WG and SDSM) to see comparative performances in the Upper Blue Nile River basin, where there is high climate variability. The result from the two downscaling models suggested that both SDSM and LARS-WG approximate the observed climate data reasonably well and project an increasing trend for precipitation and maximum and minimum temperature.
Erwin Isaac Polanco, Amr Fleifle, Ralf Ludwig, and Markus Disse
Hydrol. Earth Syst. Sci., 21, 4907–4926, https://doi.org/10.5194/hess-21-4907-2017, https://doi.org/10.5194/hess-21-4907-2017, 2017
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In this research, SWAT was used to model the upper Blue Nile Basin where comparisons between ground and CFSR data were done. Furthermore, this paper introduced the SWAT error index (SEI), an additional tool to measure the level of error of hydrological models. This work proposed an approach or methodology that can effectively be followed to create better and more efficient hydrological models.
Markus Disse
Proc. IAHS, 373, 25–29, https://doi.org/10.5194/piahs-373-25-2016, https://doi.org/10.5194/piahs-373-25-2016, 2016
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The Tarim Basin in Xinjiang province in northwest China is characterized by a hyper arid climate. Climate change and a strong increase in agricultural land use are major challenges for sustainable water management. The largest competition for water resources exists between irrigated fields and natural riparian vegetation. The Sino-German project SuMaRiO provided a decision support system based on ecosystem services and will implement sustainable water management measures in the next 5-year plan.
C. Rumbaur, N. Thevs, M. Disse, M. Ahlheim, A. Brieden, B. Cyffka, D. Duethmann, T. Feike, O. Frör, P. Gärtner, Ü. Halik, J. Hill, M. Hinnenthal, P. Keilholz, B. Kleinschmit, V. Krysanova, M. Kuba, S. Mader, C. Menz, H. Othmanli, S. Pelz, M. Schroeder, T. F. Siew, V. Stender, K. Stahr, F. M. Thomas, M. Welp, M. Wortmann, X. Zhao, X. Chen, T. Jiang, J. Luo, H. Yimit, R. Yu, X. Zhang, and C. Zhao
Earth Syst. Dynam., 6, 83–107, https://doi.org/10.5194/esd-6-83-2015, https://doi.org/10.5194/esd-6-83-2015, 2015
P. Fiener, K. Auerswald, F. Winter, and M. Disse
Hydrol. Earth Syst. Sci., 17, 4121–4132, https://doi.org/10.5194/hess-17-4121-2013, https://doi.org/10.5194/hess-17-4121-2013, 2013
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Miroslav Spano and Jaromir Riha
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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.
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.
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
Alfieri, L., Feyen, L., Salamon, P., Thielen, J., Bianchi, A., Dottori, F., and Burek, P.: Modelling the socio-economic impact of river floods in Europe, Nat. Hazards Earth Syst. Sci., 16, 1401–1411, https://doi.org/10.5194/nhess-16-1401-2016, 2016.
Bartels, J., Seidel, J., Bardossy, A., Bliefernicht, J., Kunstmann, H.,
Kunstmann, H., Johst, M., and Demuth, N.: Bewertung von
Ensemble-Abflussvorhersagen für die operationelle Hochwasserwarnung,
Hydrol. Wasserbewirts., 61, 297–310,
https://doi.org/10.5675/HyWa_2017,5_1, 2017.
Bates, P. D., Pappenberger, F., and Romanowicz, R. J.: Uncertainty in Flood
Inundation Modelling, in: Applied Uncertainty Analysis for Flood Risk
Management, edited by: Beven, K., and Hall, J., Imperial College Press,
London, UK, 232–269, ISBN 978-1-78326-312-7, 2014.
Beg, M. N. A., Leandro, J., Bhola, P., Konnerth, I., Amin, K., Koeck, F.,
Carvalho, R. F., and Disse, M.: Flood Forecasting with Uncertainty Using a
Fully Automated Flood Model Chain: A Case Study for the City of Kulmbach,
HIC 2018, in: 13th International Conference on Hydroinformatics, 1–5 July 2018, Palermo, Italy,
2018.
Bermúdez, M. and Zischg, A. P.: Sensitivity of flood
loss estimates to building representation and flow depth attribution methods
in micro-scale flood modelling, Nat. Hazards, 92, 1633–1648. https://doi.org/10.1007/s11069-018-3270-7, 2018.
Beven, K. and Binley, A.: GLUE: 20 years on, Hydrol. Process., 28,
5897–5918, https://doi.org/10.1002/hyp.10082, 2014.
Beven, K., Leedal, D., and McCarthy, S.: Framework for assessing uncertainty
in fluvial flood risk mapping, CIRIA, London, UK, 58 pp., 2014.
Beven, K., Lamb, R., Leedal, D., and Hunter, N.: Communicating uncertainty
in flood inundation mapping: a case study, Intl. J. River Basin Management,
13, 285–295, https://doi.org/10.1080/15715124.2014.917318, 2015.
Beven, K. J., Almeida, S., Aspinall, W. P., Bates, P. D., Blazkova, S., Borgomeo, E., Freer, J., Goda, K., Hall, J. W., Phillips, J. C., Simpson, M., Smith, P. J., Stephenson, D. B., Wagener, T., Watson, M., and Wilkins, K. L.: Epistemic uncertainties and natural hazard risk assessment – Part 1: A review of different natural hazard areas, Nat. Hazards Earth Syst. Sci., 18, 2741–2768, https://doi.org/10.5194/nhess-18-2741-2018, 2018.
Bhola, P., Leandro, J., and Disse, M.: Framework for Offline Flood
Inundation Forecasts for Two-Dimensional Hydrodynamic Models, Geosciences,
8, 346, https://doi.org/10.3390/geosciences8090346, 2018a.
Bhola, P. K., Nair, B. B., Leandro, J., Rao, S. N., and Disse, M.: Flood
inundation forecasts using validation data generated with the assistance of
computer vision, J. Hydroinform., 21, 240–256, https://doi.org/10.2166/hydro.2018.044,
2018b.
Boelee, L., Lumbroso, D. M., Samuels, P. G., and Cloke, H. L.: Estimation of
uncertainty in flood forecasts – A comparison of methods, J. Flood Risk.
Manag., e12516, https://doi.org/10.1111/jfr3.12516, 2018.
Botzen, W. J. W., Aerts, J. C. J. H., and van den Bergh, J. C. J. M.:
Dependence of flood risk perceptions on socioeconomic and objective risk
factors, Water Res., 45, W10440, https://doi.org/10.1029/2009WR007743,
2009.
Bruen, M., Krahe, P., Zappa, M., Olsson, J., Vehvilainen, B., Kok, K., and
Daamen, K.: Visualizing flood forecasting uncertainty: some current European
EPS platforms – COST731 working group 3, Atmos. Sci. Lett., 11, 92–99,
https://doi.org/10.1002/asl.258, 2010.
Brunner, G. W., United, S., Army, Corps of, E., Institute for Water, R., and
Hydrologic Engineering, C.: HEC-RAS river analysis system: hydraulic
reference manual Version 5.0, US Army Corps of Engineers, Institute for
Water Resources, Hydrologic Engineering Center, Davis, CA, 2016.
Cloke, H. L. and Pappenberger, F.: Ensemble flood forecasting: A review, J.
Hydrol., 375, 613–626, https://doi.org/10.1016/j.jhydrol.2009.06.005, 2009.
Demuth, N. and Rademacher, S.: Chapter 5 – Flood Forecasting in Germany –
Challenges of a Federal Structure and Transboundary Cooperation, in: Flood
Forecasting, edited by: Adams, T. E. and Pagano, T. C., Academic Press,
Boston, 125–151, 2016.
Di Baldassarre, G. and Montanari, A.: Uncertainty in river discharge observations: a quantitative analysis, Hydrol. Earth Syst. Sci., 13, 913–921, https://doi.org/10.5194/hess-13-913-2009, 2009.
Di Baldassarre, G., Schumann, G., Bates, P. D., Freer, J. E., and Beven, K.
J.: Flood-plain mapping: a critical discussion of deterministic and
probabilistic approaches, Hydrolog. Sci. J., 55, 364–376,
https://doi.org/10.1080/02626661003683389, 2010.
Disse, M., Konnerth, I., Bhola, P. K., and Leandro, J.:
Unsicherheitsabschätzung für die Berechnung von dynamischen
Überschwemmungskarten – Fallstudie Kulmbach, in: Vorsorgender und
nachsorgender Hochwasserschutz: Ausgewählte Beiträge aus der
Fachzeitschrift WasserWirtschaft Band 2, edited by: Heimerl, S., Springer
Fachmedien Wiesbaden, Wiesbaden, 350–357, 2018.
Dotto, C. B. S., Mannina, G., Kleidorfer, M., Vezzaro, L., Henrichs, M.,
McCarthy, D. T., Freni, G., Rauch, W., and Deletic, A.: Comparison of
different uncertainty techniques in urban stormwater quantity and quality
modelling, Water Res., 46, 2545–2558, https://doi.org/10.1016/j.watres.2012.02.009,
2012.
Doyle, E. E. H., Johnston, D. M., Smith, R., and Paton, D.: Communicating
model uncertainty for natural hazards: A qualitative systematic thematic
review, Int. J. Disast. Risk Re., 33, 449–476, https://doi.org/10.1016/j.ijdrr.2018.10.023, 2019.
Dutta, D., Herath, S., and Musiake, K.: A mathematical
model for flood loss estimation, J. Hydrol., 277, 24–49, https://doi.org/10.1016/S0022-1694(03)00084-2, 2003.
European Union: Directive 2007/60/EC of the European Parliament and of the
Council of 23 October 2007 on the assessment and management of flood risks,
2007.
Gebbeken, N., Videkhina, I., Pfeiffer, E., Garsch, M., and Rüdiger, L.:
Risikobewertung und Schutz von baulichen Infrastrukturen bei
Hochwassergefahr, Bautechnik, 93, 199–213, https://doi.org/10.1002/bate.201600003, 2016.
Goerigk, M., Hamacher, H. W., and Kinscherff, A.: Ranking robustness and its
application to evacuation planning, Eur. J. Oper. Res., 264, 837–846, https://doi.org/10.1016/j.ejor.2016.05.037, 2018.
Haag, I. and Bremicker, M.: Möglichkeiten und Grenzen der
Schneesimulation mit dem Hochwasservorhersagemodell LARSIM, Forum für
Hydrol. Wasserbewirts., 33, 47–58, 2013.
Haag, I., Johst, M., Sieber, A., and Bremicher, M.: Guideline for the
Calibration of LARSIM Water Balance Models for operational Application in
Flood Forecasting, LARSIM Entwicklergemeinschaft – Hochwasserzentralen
LUBW, BLfU, LfU RP, HLNUG, BAFU, 2016.
Hagemeier-Klose, M. and Wagner, K.: Evaluation of flood hazard maps in print and web mapping services as information tools in flood risk communication, Nat. Hazards Earth Syst. Sci., 9, 563–574, https://doi.org/10.5194/nhess-9-563-2009, 2009.
Hammond, M. J., Chen, A. S., Djordjevi, S., Butler, D., and Mark, O.: Urban
flood impact assessment: A state-of-the-art review, Urban Water J., 12,
14–29, https://doi.org/10.1080/1573062X.2013.857421, 2013.
Henonin, J., Russo, B., Mark, O., and Gourbesville, P.: Real-time Urban Flood Forecasting and Modelling – a State of the Art, J. Hydroinform., 15, 717–736, https://doi.org/10.2166/hydro.2013.132, 2013.
Jonkman, S. N., Bockarjova, M., Kok, M., and Bernardini, P.: Integrated
hydrodynamic and economic modelling of flood damage in the Netherlands, Ecol. Econ. 66, 77–90, https://doi.org/10.1016/j.ecolecon.2007.12.022, 2008.
Kauffeldt, A., Wetterhall, F., Pappenberger, F., Salamon, P., and Thielen,
J.: Technical review of large-scale hydrological models for implementation
in operational flood forecasting schemes on continental level, Environ.
Modell. Softw., 75, 68–76, https://doi.org/10.1016/j.envsoft.2015.09.009, 2016.
Kolen, B., Kutschera, G., and Helsloot, I.: A comparison between
the Netherlands and Germany of evacuation in case of extreme
flooding, Urban flood Conference, 26–27 September, Paris, 2010.
Kreibich, H., Seifert, I., Merz, B., and Thieken, A. H.:
Development of FLEMOcs – a new model for the estimation of flood losses in
the commercial sector, Hydrolog. Sci. J., 55, 1302–1314, https://doi.org/10.1080/02626667.2010.529815, 2010.
Krieger, K., Schmitt, T. G., and Illgen, M.: Risikomanagement in der
kommunalen Überflutungsvorsorge nach DWA-Merkblatt M 119, GWF Wasser
Abwasser, 158, 34–39, 2017.
Kuchar, S., Golasowski, M., Vavrik, R., Podhoranyi, M., Sir, B., and
Martinovic, J.: Using High Performance Computing for Online Flood Monitoring
and Prediction, Int. J. Env. Chem. Ecolog. Geolog. Geophy. Eng., 101, 432–437, 2015.
Laurent, S., Hangen-Brodersen, C., Ehret, U., Meyer, I., Moritz, K., Vogelbacher, A., and Holle, F.-K.: Forecast uncertainties in the operational flood forecasting of the Bavarian Danube catchment, in: Hydrological Processes of the Danube River Basin, edited by: Brilly, M., Springer, Dordrecht, Netherlands, 367–387, 2010.
Leandro, J., Leitão, J. P., and de Lima, J. L. M. P.: Quantifying the
uncertainty in the Soil Conservation Service flood hydrographs: a case study
in the Azores Islands, J. Flood Risk. Manag., 6, 279–288, https://doi.org/10.1111/jfr3.12010, 2013.
Leandro, J., Chen, A. S., and Schumann, A.: A 2D parallel diffusive wave
model for floodplain inundation with variable time step (P-DWave), J.
Hydrol., 517, 250–259, https://doi.org/10.1016/j.jhydrol.2014.05.020, 2014.
Leandro, J., Schumann, A., and Pfister, A.: A step towards considering the
spatial heterogeneity of urban key features in urban hydrology flood
modelling, J. Hydrol., 535, 356–365, https://doi.org/10.1016/j.jhydrol.2016.01.060,
2016.
Leedal, D., Neal, J., Beven, K., Young, P., and Bates, P.: Visualization
approaches for communicating real-time flood forecasting level and
inundation information, J. Flood Risk. Manag., 3, 140–150, https://doi.org/10.1111/j.1753-318X.2010.01063.x, 2010.
Luce, A., Haag, I., and Bremicker, M.: Daily discharge forecasting with
operational water-balance models in Baden-Württemberg, Hydrol.
Wasserbewirts., 50, 58–66, 2006.
Ludwig, K. and Bremicker, M.: The water balance model LARSIM: design,
content and applications, Inst. für Hydrologie der Univ., Freiburg i.
Br., User Manual of Software, 2006.
Martins, R., Leandro, J., Chen, A. S., and Djordjević, S.: A comparison
of three dual drainage models: shallow water vs local inertial vs diffusive
wave, J. Hydroinform., 19, 331–348, https://doi.org/10.2166/hydro.2017.075, 2017.
Meyer, V., Scheuer, S., and Haase, D.: A multicriteria approach for flood
risk mapping exemplified at the Mulde river, Germany, Nat. Hazards, 48, 17–39, https://doi.org/10.1007/s11069-008-9244-4, 2009.
Molinari, D., Ballio, F., Handmer, J., and Menoni, S.: On the modeling of
significance for flood damage assessment, Int. J. Disast. Risk Re., 10,
381–391, https://doi.org/10.1016/j.ijdrr.2014.10.009, 2014.
Moya Quiroga, V., Kure, S., Udo, K., and Mano, A.: Application of 2D
numerical simulation for the analysis of the February 2014 Bolivian Amazonia
flood: Application of the new HEC-RAS version 5, RIBAGUA – Rev. Iberoam. Agua, 3, 25–33,
https://doi.org/10.1016/j.riba.2015.12.001, 2016.
Nester, T., Komma, J., Viglione, A., and Blöschl, G.: Flood forecast
errors and ensemble spread – A case study, Water Resour. Res., 48, W10502, https://doi.org/10.1029/2011wr011649, 2012.
Oudin, L., Andréassian, V., Mathevet, T., Perrin, C., and Michel, C.:
Dynamic averaging of rainfall-runoff model simulations from complementary
model parameterizations, Water Resour. Res., 42, W07410, https://doi.org/10.1029/2005wr004636,
2006.
Pappenberger, F. and Beven, K. J.: Ignorance is bliss: Or seven reasons not
to use uncertainty analysis, Water Resour. Res., 42, W05302, https://doi.org/10.1029/2005WR004820, 2006.
Pappenberger, F., Harvey, H., Beven, K., Hall, J., and Meadowcroft, I.:
Decision tree for choosing an uncertainty analysis methodology: a wiki
experiment, Hydrol. Process., 20, 3793–3798, https://doi.org/10.1002/hyp.6541, 2006.
Pappenberger, F., Beven, K. J., Ratto, M., and Matgen, P.: Multi-method
global sensitivity analysis of flood inundation models, Adv. Water Resour.,
31, 1–14, https://doi.org/10.1016/j.advwatres.2007.04.009, 2008.
Patel, D. P., Ramirez, J. A., Srivastava, P. K., Bray, M., and Han, D.:
Assessment of flood inundation mapping of Surat city by coupled 1D/2D
hydrodynamic modeling: a case application of the new HEC-RAS 5, Nat. Hazards,
89, 93–130, https://doi.org/10.1007/s11069-017-2956-6, 2017.
Schanze, J.: A hybrid multi-model approach to river level forecasting, in:
Flood Risk Management: Hazards, Vulnerability and Mitigation Measures,
edited by: Schanze, J., Zeman, E., and Marsalek, J., Flood Risk Management:
Hazards, Vulnerability and Mitigation Measures, Springer Netherlands,
Dordrecht, 1–20, 2006.
See, L. and Openshaw, S.: A hybrid multi-model approach to river level
forecasting, Hydrolog. Sci. J., 45, 523–536, https://doi.org/10.1080/02626660009492354,
2000.
Shamseldin, A. Y., O'Connor, K. M., and Liang, G. C.: Methods for combining
the outputs of different rainfall – runoff models, J. Hydrol., 197, 203–229,
https://doi.org/10.1016/S0022-1694(96)03259-3, 1997.
Shultz, S.: The Extent and Nature of Potential Flood Damage to Commercial
Property Structures in the Midwestern United States, J. Contemp. Water Res.
Educ., 161, 81–91, https://doi.org/10.1111/j.1936-704X.2017.3253.x, 2017.
Thieken, A. H., Müller, M., Kreibich, H., and Merz, B.: Flood damage and
influencing factors: New insights from the August 2002 flood in Germany,
Water Resour. Res., 41, W12430, https://doi.org/10.1029/2005wr004177, 2005.
Thieken, A. H., Olschewski, A., Kreibich, H., Kobsch, S., and Merz, B.:
Development and evaluation of FLEMOps – a new Flood Loss Estimation Model for the private sector, in: Flood Recovery, Innovation and Response I. Flood Recovery, Innovation And Response 2008, London, England, 2–3 July 2008, edited by: Proverbs, D., Brebbia, C. A., and
Penning-Rowsell, E., WIT Press, Southampton, UK, 315–324, 2008.
Thieken, A. H., Bessel, T., Kienzler, S., Kreibich, H., Müller, M., Pisi, S., and Schröter, K.: The flood of June 2013 in Germany: how much do we know about its impacts?, Nat. Hazards Earth Syst. Sci., 16, 1519–1540, https://doi.org/10.5194/nhess-16-1519-2016, 2016.
Todini, E.: Flood Forecasting and Decision Making in the new Millennium,
Where are We?, Water Res. Manag., 31, 3111–3129, https://doi.org/10.1007/s11269-017-1693-7, 2017.
Triglav-Čekada, M. and Radovan, D.: Using volunteered geographical information to map the November 2012 floods in Slovenia, Nat. Hazards Earth Syst. Sci., 13, 2753–2762, https://doi.org/10.5194/nhess-13-2753-2013, 2013.
Uusitalo, L., Lehikoinen, A., Helle, I., and Myrberg, K.: An overview of
methods to evaluate uncertainty of deterministic models in decision support,
Environ. Modell. Softw., 63, 24–31, https://doi.org/10.1016/j.envsoft.2014.09.017,
2015.
Voigt, S., Kemper, T., Riedlinger, T., Kiefl, R., Scholte, K., and Mehl, H.:
Satellite Image Analysis for Disaster and Crisis-Management Support, IEEE T.
Geosci. Remote., 45, 1520–1528, https://doi.org/10.1109/TGRS.2007.895830, 2007.
Wasserwirtschaftsamt Hof: Gebiet des Mains: available at:
https://www.wwa-ho.bayern.de/hochwasser/hochwasserereignisse/januar2011/main/index.htm
(last access: 27 March 2019), 2011.
Weigel, A. P., Liniger, M. A., and Appenzeller, C.: Can multi-model
combination really enhance the prediction skill of probabilistic ensemble
forecasts?, Q. J. Roy. Meteor. Soc., 134, 241–260, https://doi.org/10.1002/qj.210,
2008.
Zarzar, C. M., Hosseiny, H., Siddique, R., Gomez, M., Smith, V., Mejia, A.,
and Dyer, J.: A Hydraulic MultiModel Ensemble Framework for Visualizing
Flood Inundation Uncertainty, J. Am. Water Resour. As., 54, 807–819, https://doi.org/10.1111/1752-1688.12656, 2018.
Zheng, X., Tarboton, D. G., Maidment, D. R., Liu, Y. Y., and Passalacqua,
P.: River Channel Geometry and Rating Curve Estimation Using Height above
the Nearest Drainage, J. Am. Water Resour. As., 54, 785–806, https://doi.org/10.1111/1752-1688.12661, 2018.
Short summary
In operational flood risk management, a single best model is used to assess the impact of flooding, which might misrepresent uncertainties in the modelling process. We have used quantified uncertainties in flood forecasting to generate flood hazard maps that were combined based on different exceedance probability scenarios with the purpose to differentiate impacts of flooding and to account for uncertainties in flood hazard maps that can be used by decision makers.
In operational flood risk management, a single best model is used to assess the impact of...
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