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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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.
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ET is computed from vegetation (plant transpiration) and soil (soil evaporation). In Western Africa, plant transpiration correlates with vegetation growth. Vegetation is often represented with the leaf-area-index (LAI). In this study, we evaluate the importance of LAI for the ET calculation. We take a close look at the LAI-ET interaction and show the relevance to consider both, LAI and ET. Our work contributes to the understanding of the processes of the terrestrial water cycle.
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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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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.
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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.
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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
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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.
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Revised manuscript accepted for NHESS
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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.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian Grams
EGUsphere, https://doi.org/10.5194/egusphere-2024-415, https://doi.org/10.5194/egusphere-2024-415, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but is still difficult to predict on long time scales. A recent example of this were the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allow us to better understand and predict such events.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
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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.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-26, https://doi.org/10.5194/nhess-2024-26, 2024
Revised manuscript accepted for NHESS
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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.
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.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-22, https://doi.org/10.5194/nhess-2024-22, 2024
Revised manuscript accepted for NHESS
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The study proposes a new framework, named FLEXTH, to estimate flood water depths and improve satellite-based flood monitoring using topographical data. FLEXTH aims to reduce the impact of floods and is readily available as a computer code, offering a practical and scalable solution for estimating flood depths quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
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.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
EGUsphere, https://doi.org/10.5194/egusphere-2024-29, https://doi.org/10.5194/egusphere-2024-29, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges are coinciding, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Our model based scenario analysis shows 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.
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.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Boutzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
EGUsphere, https://doi.org/10.5194/egusphere-2023-2862, https://doi.org/10.5194/egusphere-2023-2862, 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.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
EGUsphere, https://doi.org/10.22541/essoar.167751627.70583046/v2, https://doi.org/10.22541/essoar.167751627.70583046/v2, 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 details. 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 of population displaced of 18 % in Canada and 14 % in the U.S.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-206, https://doi.org/10.5194/nhess-2023-206, 2024
Revised manuscript accepted for NHESS
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Climate change is leading in the Pyrenees Massif to a change in socioeconomic increasing their sensitivity to natural risks such as floods. However, until now, no systematic study like this one had been carried out that would allow evaluating the frequency, distribution and main meteorological features of these events on a massif scale. In 35 years there have been 181 flood events that have produced 154 fatalities.
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.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
Nat. Hazards Earth Syst. Sci., 23, 3305–3317, https://doi.org/10.5194/nhess-23-3305-2023, https://doi.org/10.5194/nhess-23-3305-2023, 2023
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In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
Clément Houdard, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
Nat. Hazards Earth Syst. Sci., 23, 3111–3124, https://doi.org/10.5194/nhess-23-3111-2023, https://doi.org/10.5194/nhess-23-3111-2023, 2023
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We developed a system able to to predict, knowing the appropriate characteristics of the flood defense structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty.
The model is a combination of statistical and empirical methods that have been applied to a Mediterranean earthen dike. This shows that the most important characteristics of the dyke are its geometrical features, such as its height and slope angles.
Lisa Köhler, Torsten Masson, Sabrina Köhler, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 23, 2787–2806, https://doi.org/10.5194/nhess-23-2787-2023, https://doi.org/10.5194/nhess-23-2787-2023, 2023
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We analyzed the impact of flood experience on adaptive behavior and self-reported resilience. The outcomes draw a paradoxical picture: the most experienced people are the most adapted but the least resilient. We find evidence for non-linear relationships between the number of floods experienced and resilience. We contribute to existing knowledge by focusing specifically on the number of floods experienced and extending the rare scientific literature on the influence of experience on resilience.
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, https://doi.org/10.5194/nhess-23-2769-2023, 2023
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Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
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We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
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Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2313–2332, https://doi.org/10.5194/nhess-23-2313-2023, https://doi.org/10.5194/nhess-23-2313-2023, 2023
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Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
Patrick Ludwig, Florian Ehmele, Mário J. Franca, Susanna Mohr, Alberto Caldas-Alvarez, James E. Daniell, Uwe Ehret, Hendrik Feldmann, Marie Hundhausen, Peter Knippertz, Katharina Küpfer, Michael Kunz, Bernhard Mühr, Joaquim G. Pinto, Julian Quinting, Andreas M. Schäfer, Frank Seidel, and Christina Wisotzky
Nat. Hazards Earth Syst. Sci., 23, 1287–1311, https://doi.org/10.5194/nhess-23-1287-2023, https://doi.org/10.5194/nhess-23-1287-2023, 2023
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Heavy precipitation in July 2021 led to widespread floods in western Germany and neighboring countries. The event was among the five heaviest precipitation events of the past 70 years in Germany, and the river discharges exceeded by far the statistical 100-year return values. Simulations of the event under future climate conditions revealed a strong and non-linear effect on flood peaks: for +2 K global warming, an 18 % increase in rainfall led to a 39 % increase of the flood peak in the Ahr river.
Nadav Peleg, Herminia Torelló-Sentelles, Grégoire Mariéthoz, Lionel Benoit, João P. Leitão, and Francesco Marra
Nat. Hazards Earth Syst. Sci., 23, 1233–1240, https://doi.org/10.5194/nhess-23-1233-2023, https://doi.org/10.5194/nhess-23-1233-2023, 2023
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Floods in urban areas are one of the most common natural hazards. Due to climate change enhancing extreme rainfall and cities becoming larger and denser, the impacts of these events are expected to increase. A fast and reliable flood warning system should thus be implemented in flood-prone cities to warn the public of upcoming floods. The purpose of this brief communication is to discuss the potential implementation of low-cost acoustic rainfall sensors in short-term flood warning systems.
Katharina Lengfeld, Paul Voit, Frank Kaspar, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 1227–1232, https://doi.org/10.5194/nhess-23-1227-2023, https://doi.org/10.5194/nhess-23-1227-2023, 2023
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Estimating the severity of a rainfall event based on the damage caused is easy but highly depends on the affected region. A less biased measure for the extremeness of an event is its rarity combined with its spatial extent. In this brief communication, we investigate the sensitivity of such measures to the underlying dataset and highlight the importance of considering multiple spatial and temporal scales using the devastating rainfall event in July 2021 in central Europe as an example.
Paul D. Bates, James Savage, Oliver Wing, Niall Quinn, Christopher Sampson, Jeffrey Neal, and Andrew Smith
Nat. Hazards Earth Syst. Sci., 23, 891–908, https://doi.org/10.5194/nhess-23-891-2023, https://doi.org/10.5194/nhess-23-891-2023, 2023
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We present and validate a model that simulates current and future flood risk for the UK at high resolution (~ 20–25 m). We show that UK flood losses were ~ 6 % greater in the climate of 2020 compared to recent historical values. The UK can keep any future increase to ~ 8 % if all countries implement their COP26 pledges and net-zero ambitions in full. However, if only the COP26 pledges are fulfilled, then UK flood losses increase by ~ 23 %; and potentially by ~ 37 % in a worst-case scenario.
Dirk Eilander, Anaïs Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 23, 823–846, https://doi.org/10.5194/nhess-23-823-2023, https://doi.org/10.5194/nhess-23-823-2023, 2023
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In coastal deltas, flooding can occur from interactions between coastal, riverine, and pluvial drivers, so-called compound flooding. Global models however ignore these interactions. We present a framework for automated and reproducible compound flood modeling anywhere globally and validate it for two historical events in Mozambique with good results. The analysis reveals differences in compound flood dynamics between both events related to the magnitude of and time lag between drivers.
Omar Seleem, Georgy Ayzel, Axel Bronstert, and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 23, 809–822, https://doi.org/10.5194/nhess-23-809-2023, https://doi.org/10.5194/nhess-23-809-2023, 2023
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Data-driven models are becoming more of a surrogate that overcomes the limitations of the computationally expensive 2D hydrodynamic models to map urban flood hazards. However, the model's ability to generalize outside the training domain is still a major challenge. We evaluate the performance of random forest and convolutional neural networks to predict urban floodwater depth and investigate their transferability outside the training domain.
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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