Articles | Volume 20, issue 10
Nat. Hazards Earth Syst. Sci., 20, 2647–2663, 2020
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.
Nat. Hazards Earth Syst. Sci., 20, 2647–2663, 2020
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
Building hazard maps with differentiated risk perception for flood impact assessment
Punit K. Bhola et al.
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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.
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
Related subject area
Hydrological Hazards
Drought propagation and its impact on groundwater hydrology of wetlands: a case study on the Doode Bemde nature reserve (Belgium)
Modelling the Brumadinho tailings dam failure, the subsequent loss of life and how it could have been reduced
Assessment of probability distributions and analysis of the minimum storage draft rate in the equatorial region
Downsizing parameter ensembles for simulations of rare floods
Dynamic maps of human exposure to floods based on mobile phone data
What controls the coarse sediment yield to a Mediterranean delta? The case of the Llobregat River (NE Iberian Peninsula)
Open check dams and large wood: head losses and release conditions
Forecasting flood hazards in real time: a surrogate model for hydrometeorological events in an Andean watershed
Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study
Evaluation of EURO-CORDEX (Coordinated Regional Climate Downscaling Experiment for the Euro-Mediterranean area) historical simulations by high-quality observational datasets in southern Italy: insights on drought assessment
A multidisciplinary drought catalogue for southwestern Germany dating back to 1801
Simulating historical flood events at the continental-scale: observational validation of a large-scale hydrodynamic model
Land Subsidence due to groundwater pumping: Hazard Probability Assessment through the Combination of Bayesian Model and Fuzzy Set Theory
Simulation of extreme rainfall and streamflow events in small Mediterranean watersheds with a one-way-coupled atmospheric–hydrologic modelling system
Annual flood damage influenced by El Niño in the Kan River basin, Iran
Multivariate statistical modelling of the drivers of compound flood events in south Florida
Challenges in flood modeling over data-scarce regions: how to exploit globally available soil moisture products to estimate antecedent soil wetness conditions in Morocco
A risk-based network analysis of distributed in-stream leaky barriers for flood risk management
Assessing Chinese flood protection and its social divergence
Testing the impact of direct and indirect flood warnings on population behaviour using an agent-based model
Hydrogeomorphological analysis and modelling for a comprehensive understanding of flash-flood damage processes: the 9 October 2018 event in northeastern Mallorca
Hydrological impacts of climate change on small ungauged catchments – results from a global climate model–regional climate model–hydrologic model chain
A revision of the Combined Drought Indicator (CDI) as part of the European Drought Observatory (EDO)
Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios
The impact of hydrological model structure on the simulation of extreme runoff events
Typhoon rainstorm simulation with radar data assimilation in southeast coast of China
Hydrometeorological analysis and forecasting of a 3-day flash-flood-triggering desert rainstorm
Event generation for probabilistic flood risk modelling: multi-site peak flow dependence model vs. weather-generator-based approach
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Skill of large-scale seasonal drought impact forecasts
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Improving early warning of drought-driven food insecurity in southern Africa using operational hydrological monitoring and forecasting products
Invited perspectives: How machine learning will change flood risk and impact assessment
The role of spatial dependence for large-scale flood risk estimation
A method to use proxy data of runoff-related impacts for the evaluation of a model mapping intense storm runoff hazard: application to the railway context
Predictive skill for atmospheric rivers in the western Iberian Peninsula
Estimation of evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman–Monteith temperature (PMT) and Hargreaves–Samani (HS) models under temporal and spatial criteria – a case study in Duero basin (Spain)
Ensemble flood simulation for a small dam catchment in Japan using nonhydrostatic model rainfalls – Part 2: Flood forecasting using 1600-member 4D-EnVar-predicted rainfalls
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A joint probabilistic index for objective drought identification: the case study of Haiti
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An integrated evaluation of the National Water Model (NWM)–Height Above Nearest Drainage (HAND) flood mapping methodology
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Buruk Kitachew Wossenyeleh, Kaleb Asnake Worku, Boud Verbeiren, and Marijke Huysmans
Nat. Hazards Earth Syst. Sci., 21, 39–51, https://doi.org/10.5194/nhess-21-39-2021, https://doi.org/10.5194/nhess-21-39-2021, 2021
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Droughts are mainly caused by a reduction of precipitation, and they affect both surface and groundwater resources. Drought propagates through the hydrological cycle and may impact vulnerable ecosystems. We investigated drought propagation in the hydrological cycle, focusing on assessing its impact on a groundwater-fed wetland ecosystem in the Doode Bemde wetland in central Belgium. We used a method combining meteorological drought indices, water balance models and groundwater models.
Darren Lumbroso, Mark Davison, Richard Body, and Gregor Petkovšek
Nat. Hazards Earth Syst. Sci., 21, 21–37, https://doi.org/10.5194/nhess-21-21-2021, https://doi.org/10.5194/nhess-21-21-2021, 2021
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A tailings dam is an earth embankment used to store the waste from mines, known as tailings. In 2019, the Brumadinho tailings dam in Brazil failed, releasing a mudflow which killed ~ 300 people. This paper details the use of an agent-based model to estimate the risk to people downstream of this dam. The agent-based model represents each individual person. The modelling indicated that if a warning had been issued as the dam failed, the number of fatalities could have been reduced.
Hasrul Hazman Hasan, Siti Fatin Mohd Razali, Nur Shazwani Muhammad, and Firdaus Mohamad Hamzah
Nat. Hazards Earth Syst. Sci., 21, 1–19, https://doi.org/10.5194/nhess-21-1-2021, https://doi.org/10.5194/nhess-21-1-2021, 2021
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This study aims to understand the concept of low-flow drought characteristics and the predictive significance of river storage draft rates in managing sustainable water catchment. This study consists of four types of analyses: streamflow trend analysis, low-flow frequency analysis, determination of the minimum storage draft rates and hydrological-drought characteristics. The results are useful for developing measures to maintain flow variability and can be used to develop water policies.
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.
Matteo Balistrocchi, Rodolfo Metulini, Maurizio Carpita, and Roberto Ranzi
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, https://doi.org/10.5194/nhess-20-3485-2020, https://doi.org/10.5194/nhess-20-3485-2020, 2020
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Flood risk is an increasing threat to urban communities and their strategical assets worldwide. Non-structural practices, such as emergency management plans, can be effective in order to decrease the flood risk in strongly urbanized areas. Mobile phone data provide reliable estimates of the spatiotemporal variability in people exposed to flooding, thus enhancing the preparedness of stakeholders involved in flood risk management. Further, practical advantages emerge with respect to crowdsourcing.
Juan P. Martín-Vide, Arnau Prats-Puntí, and Carles Ferrer-Boix
Nat. Hazards Earth Syst. Sci., 20, 3315–3331, https://doi.org/10.5194/nhess-20-3315-2020, https://doi.org/10.5194/nhess-20-3315-2020, 2020
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An alluvial Mediterranean river changed its riverine and deltaic landscape. The delta has been heavily retreating (up to 800 m) for more than a century. We focus on the river, channelized in the last 50 years, trying to link its sandy sediment yield to the delta evolution. Sediment availability in the last 30 km of the river channel is deemed responsible for the decrease in the sediment yield to the delta. Sediment supply reduction to the coast jeopardizes the future of the delta and beaches.
Guillaume Piton, Toshiyuki Horiguchi, Lise Marchal, and Stéphane Lambert
Nat. Hazards Earth Syst. Sci., 20, 3293–3314, https://doi.org/10.5194/nhess-20-3293-2020, https://doi.org/10.5194/nhess-20-3293-2020, 2020
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Open check dams are flood protection structures trapping sediment and large wood. Large wood obstructs openings of dams, thus increasing flow levels. If flow levels become higher than the dam crest, the trapped large wood may overtop the structure and be suddenly released downstream, which may also eventually obstruct downstream bridges. This paper is based on experiments on small-scale models. It shows how to compute the increase in flow level and conditions leading to sudden overtopping.
María Teresa Contreras, Jorge Gironás, and Cristián Escauriaza
Nat. Hazards Earth Syst. Sci., 20, 3261–3277, https://doi.org/10.5194/nhess-20-3261-2020, https://doi.org/10.5194/nhess-20-3261-2020, 2020
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The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
Jerom P. M. Aerts, Steffi Uhlemann-Elmer, Dirk Eilander, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, https://doi.org/10.5194/nhess-20-3245-2020, https://doi.org/10.5194/nhess-20-3245-2020, 2020
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We compare and analyse flood hazard maps from eight global flood models that represent the current state of the global flood modelling community. We apply our comparison to China as a case study, and for the first time, we include industry models, pluvial flooding, and flood protection standards. We find substantial variability between the flood hazard maps in the modelled inundated area and exposed gross domestic product (GDP) across multiple return periods and in expected annual exposed GDP.
David J. Peres, Alfonso Senatore, Paola Nanni, Antonino Cancelliere, Giuseppe Mendicino, and Brunella Bonaccorso
Nat. Hazards Earth Syst. Sci., 20, 3057–3082, https://doi.org/10.5194/nhess-20-3057-2020, https://doi.org/10.5194/nhess-20-3057-2020, 2020
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Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with
high-density and high-quality ground-based observational datasets. We propose a general methodology and identify the more skilful models able to reproduce precipitation and temperature variability as well as drought characteristics.
Mathilde Erfurt, Georgios Skiadaresis, Erik Tijdeman, Veit Blauhut, Jürgen Bauhus, Rüdiger Glaser, Julia Schwarz, Willy Tegel, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 20, 2979–2995, https://doi.org/10.5194/nhess-20-2979-2020, https://doi.org/10.5194/nhess-20-2979-2020, 2020
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Droughts are multifaceted hazards with widespread negative consequences for the environment and society. This study explores different perspectives on drought and determines the added value of multidisciplinary datasets for a comprehensive understanding of past drought events in southwestern Germany. A long-term evaluation of drought frequency since 1801 revealed that events occurred in all decades, but a particular clustering was found in the mid-19th century and the most recent decade.
Oliver E. J. Wing, Andrew M. Smith, Michael L. Marston, Jeremy R. Porter, Mike F. Amodeo, Christopher C. Sampson, and Paul D. Bates
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-344, https://doi.org/10.5194/nhess-2020-344, 2020
Revised manuscript accepted for NHESS
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Global flood models are difficult to validate. They generally output theoretical flood events of a given probability, rather than an observed event they can be tested against. Here, we adapt a US-wide flood model to enable the rapid simulation of historical flood events in order to more robustly understand model biases. For 35 flood events, we highlight the challenges of model validation amidst observational data errors, yet evidence the increasing skill of large-scale models.
Huijun Li, Lin Zhu, Gaoxuan Guo, Yan Zhang, Zhenxue Dai, Xiaojuan Li, Linzhen Chang, and Pietro Teatini
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-309, https://doi.org/10.5194/nhess-2020-309, 2020
Revised manuscript accepted for NHESS
Corrado Camera, Adriana Bruggeman, George Zittis, Ioannis Sofokleous, and Joël Arnault
Nat. Hazards Earth Syst. Sci., 20, 2791–2810, https://doi.org/10.5194/nhess-20-2791-2020, https://doi.org/10.5194/nhess-20-2791-2020, 2020
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Can numerical models simulate intense rainfall events and consequent streamflow in a mountainous area with small watersheds well? We applied state-of-the-art one-way-coupled atmospheric–hydrologic models and we found that, despite rainfall events simulated with low errors, large discrepancies between the observed and simulated streamflow were observed. Shifts in time and space of the modelled rainfall peak are the main reason. Still, the models can be applied for climate change impact studies.
Farhad Hooshyaripor, Sanaz Faraji-Ashkavar, Farshad Koohyian, Qiuhong Tang, and Roohollah Noori
Nat. Hazards Earth Syst. Sci., 20, 2739–2751, https://doi.org/10.5194/nhess-20-2739-2020, https://doi.org/10.5194/nhess-20-2739-2020, 2020
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The effect of El Niño on flood damage was investigated. The methodology was based on the calculation of increasing rainfall amount during El Niño events compared to normal conditions. With the southern oscillation index equal to −1.0 as the threshold of El Niño, the annual percentage of increased rainfall is 12.2 %. The annual change factor may not necessarily be transferred to extreme values. Nonetheless, the change factor was applied for generating simulated storms of different return periods.
Robert Jane, Luis Cadavid, Jayantha Obeysekera, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 20, 2681–2699, https://doi.org/10.5194/nhess-20-2681-2020, https://doi.org/10.5194/nhess-20-2681-2020, 2020
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Full dependence is assumed between drivers in flood protection assessments of coastal water control structures in south Florida. A 2-D analysis of rainfall and coastal water level showed that the magnitude of the conservative assumption in the original design is highly sensitive to the regional sea level rise projection considered. The vine copula and HT04 model outperformed five higher-dimensional copulas in capturing the dependence between rainfall, coastal water level, and groundwater level.
El Mahdi El Khalki, Yves Tramblay, Christian Massari, Luca Brocca, Vincent Simonneaux, Simon Gascoin, and Mohamed El Mehdi Saidi
Nat. Hazards Earth Syst. Sci., 20, 2591–2607, https://doi.org/10.5194/nhess-20-2591-2020, https://doi.org/10.5194/nhess-20-2591-2020, 2020
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In North Africa, the vulnerability to floods is high, and there is a need to improve the flood-forecasting systems. Remote-sensing and reanalysis data can palliate the lack of in situ measurements, in particular for soil moisture, which is a crucial parameter to consider when modeling floods. In this study we provide an evaluation of recent globally available soil moisture products for flood modeling in Morocco.
Barry Hankin, Ian Hewitt, Graham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, and Rob Lamb
Nat. Hazards Earth Syst. Sci., 20, 2567–2584, https://doi.org/10.5194/nhess-20-2567-2020, https://doi.org/10.5194/nhess-20-2567-2020, 2020
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With growing support for nature-based solutions to reduce flooding by local communities, government authorities and international organisations, it is still important to improve how we assess risk reduction. We demonstrate an efficient, simplified 1D network model that allows us to explore the
whole-systemresponse of numerous leaky barriers placed in different stream networks, whilst considering utilisation, synchronisation effects and cascade failure, and we provide advice on their siting.
Dan Wang, Paolo Scussolini, and Shiqiang Du
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-264, https://doi.org/10.5194/nhess-2020-264, 2020
Revised manuscript accepted for NHESS
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Flood protection level (FPL) is vital for risk analysis and management, but scarce in realty particularly for developing countries. This paper develops a policy-based FPL dataset for China and validated it using local FPL designs and plans. The FPLs are much higher than that in global database, suggesting Chinese flood risk should be lower with the required FPLs. Moreover, the FPLs are lower for western China and the vulnerable people, implying a spatial and social divergence of the FPLs.
Thomas O'Shea, Paul Bates, and Jeffrey Neal
Nat. Hazards Earth Syst. Sci., 20, 2281–2305, https://doi.org/10.5194/nhess-20-2281-2020, https://doi.org/10.5194/nhess-20-2281-2020, 2020
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Outlined here is a multi-disciplinary framework for analysing and evaluating the nature of vulnerability to, and capacity for, flood hazard within a complex urban society. It provides scope beyond the current, reified, descriptors of
flood riskand models the role of affected individuals within flooded areas. Using agent-based modelling coupled with the LISFLOOD-FP hydrodynamic model, potentially influential behaviours that give rise to the flood hazard system are identified and discussed.
Joan Estrany, Maurici Ruiz-Pérez, Raphael Mutzner, Josep Fortesa, Beatriz Nácher-Rodríguez, Miquel Tomàs-Burguera, Julián García-Comendador, Xavier Peña, Adolfo Calvo-Cases, and Francisco J. Vallés-Morán
Nat. Hazards Earth Syst. Sci., 20, 2195–2220, https://doi.org/10.5194/nhess-20-2195-2020, https://doi.org/10.5194/nhess-20-2195-2020, 2020
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A catastrophic flash-flood event hit the northeastern part of Mallorca in 2018, causing 13 casualties and impacting on the international opinion in one of the most important tourist resorts. The analysis of the rainfall–runoff processes illustrated an unprecedented flashy behaviour in Europe triggering the natural disaster. UAVs and hydrogeomorphological precision techniques were used as a rapid post-catastrophe decision-making tool, playing a key role during the rescue searching tasks.
Aynalem T. Tsegaw, Marie Pontoppidan, Erle Kristvik, Knut Alfredsen, and Tone M. Muthanna
Nat. Hazards Earth Syst. Sci., 20, 2133–2155, https://doi.org/10.5194/nhess-20-2133-2020, https://doi.org/10.5194/nhess-20-2133-2020, 2020
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Hydrological impacts of climate change are generally performed by following steps from global to regional climate modeling through data tailoring and hydrological modeling. Usually, the climate–hydrology chain primary focuses on medium to large catchments. To study impacts of climate change on small catchments, a high-resolution regional climate model and hydrological model are required. The results from high-resolution models help in proposing specific adaptation strategies for impacts.
Carmelo Cammalleri, Carolina Arias-Muñoz, Paulo Barbosa, Alfred de Jager, Diego Magni, Dario Masante, Marco Mazzeschi, Niall McCormick, Gustavo Naumann, Jonathan Spinoni, and Jürgen Vogt
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-204, https://doi.org/10.5194/nhess-2020-204, 2020
Revised manuscript accepted for NHESS
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Building on almost ten years of expertise and operational application of the Combined Drought Indicator (CDI) for the monitoring of agricultural droughts in Europe within the European Commission’s European Drought Observatory (EDO), this paper proposes a revised version of the index. This paper shows that the proposed revised CDI reliably reproduces the evolution of major droughts, out-performing the current version of the indicator, especially for long-lasting events.
Aloïs Tilloy, Bruce D. Malamud, Hugo Winter, and Amélie Joly-Laugel
Nat. Hazards Earth Syst. Sci., 20, 2091–2117, https://doi.org/10.5194/nhess-20-2091-2020, https://doi.org/10.5194/nhess-20-2091-2020, 2020
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Estimating risks induced by interacting natural hazards remains a challenge for practitioners. An approach to tackle this challenge is to use multivariate statistical models. Here we evaluate the efficacy of six models. The models are compared against synthetic data which are comparable to time series of environmental variables. We find which models are more appropriate to estimate relations between hazards in a range of cases. We highlight the benefits of this approach with two examples.
Gijs van Kempen, Karin van der Wiel, and Lieke Anna Melsen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-154, https://doi.org/10.5194/nhess-2020-154, 2020
Revised manuscript accepted for NHESS
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In this study, we combine climate model results with a hydrological model, to investigate uncertainties in flood and drought risk. With the climate model, 2000 years of ‘current climate’ was created. The hydrological model consisted of several building blocks that we could adapt. In this way, we could investigate the effect of these hydrological building blocks on flood and drought risk, in four different climate zones with return periods of up to 500 years.
Jiyang Tian, Ronghua Liu, Liuqian Ding, Liang Guo, and Bingyu Zhang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-146, https://doi.org/10.5194/nhess-2020-146, 2020
Revised manuscript accepted for NHESS
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Typhoon always comes along with heavy rainfall, which lead to great loss. The aim of this study is to explore reasonable use of Doppler radar data assimilation to correct the initial and lateral boundary conditions of the Numerical Weather Prediction (NWP) systems for typhoon rainstorms forecast at catchment scale. The results shows that assimilating radial velocity with time interval of 1 h can significantly improve the rainfall simulations and outperforms the other assimilation modes.
Yair Rinat, Francesco Marra, Moshe Armon, Asher Metzger, Yoav Levi, Pavel Khain, Elyakom Vadislavsky, Marcelo Rosensaft, and Efrat Morin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-189, https://doi.org/10.5194/nhess-2020-189, 2020
Revised manuscript accepted for NHESS
Benjamin Winter, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, https://doi.org/10.5194/nhess-20-1689-2020, https://doi.org/10.5194/nhess-20-1689-2020, 2020
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In this paper two different methods to generate spatially coherent flood events for probabilistic flood risk modelling are compared: on the one hand, a semi-conditional multi-variate dependence model applied to discharge observations and, on the other hand, a continuous hydrological modelling of synthetic meteorological fields generated by a multi-site weather generator. The results of the two approaches are compared in terms of simulated spatial patterns and overall flood risk estimates.
Heiko Apel, Mai Khiem, Nguyen Hong Quan, and To Quang Toan
Nat. Hazards Earth Syst. Sci., 20, 1609–1616, https://doi.org/10.5194/nhess-20-1609-2020, https://doi.org/10.5194/nhess-20-1609-2020, 2020
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This study deals with salinity intrusion in the Mekong Delta, a pressing issue in the third-largest river delta on Earth. It presents a simple, efficient, and cross-validated seasonal forecast model for salinity intrusion during the dry season based on logistic regression using ENSO34 or standardized streamflow indexes as predictors. The model performs exceptionally well, enabling a reliable forecast of critical salinity threshold exceedance up to 9 months prior to the dry season.
Samuel J. Sutanto, Melati van der Weert, Veit Blauhut, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 20, 1595–1608, https://doi.org/10.5194/nhess-20-1595-2020, https://doi.org/10.5194/nhess-20-1595-2020, 2020
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Present-day drought early warning systems only provide information on drought hazard forecasts. Here, we have developed drought impact functions to forecast drought impacts up to 7 months ahead using machine learning techniques, logistic regression, and random forest. Our results show that random forest produces a higher-impact forecasting skill than logistic regression. For German county levels, drought impacts can be forecasted up to 4 months ahead using random forest.
Giuliano Di Baldassarre, Fernando Nardi, Antonio Annis, Vincent Odongo, Maria Rusca, and Salvatore Grimaldi
Nat. Hazards Earth Syst. Sci., 20, 1415–1419, https://doi.org/10.5194/nhess-20-1415-2020, https://doi.org/10.5194/nhess-20-1415-2020, 2020
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Global floodplain mapping has rapidly progressed over the past few years. Different methods have been proposed to identify areas prone to river flooding, resulting in a plethora of available products. Here we assess the potential and limitations of two main paradigms and provide guidance on the use of these global products in assessing flood risk in data-poor regions.
Shraddhanand Shukla, Kristi R. Arsenault, Abheera Hazra, Christa Peters-Lidard, Randal D. Koster, Frank Davenport, Tamuka Magadzire, Chris Funk, Sujay Kumar, Amy McNally, Augusto Getirana, Greg Husak, Ben Zaitchik, Jim Verdin, Faka Dieudonne Nsadisa, and Inbal Becker-Reshef
Nat. Hazards Earth Syst. Sci., 20, 1187–1201, https://doi.org/10.5194/nhess-20-1187-2020, https://doi.org/10.5194/nhess-20-1187-2020, 2020
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The region of southern Africa is prone to climate-driven food insecurity events, as demonstrated by the major drought event in 2015–2016. This study demonstrates that recently developed NASA Hydrological Forecasting and Analysis System-based root-zone soil moisture monitoring and forecasting products are well correlated with interannual regional crop yield, can identify below-normal crop yield events and provide skillful crop yield forecasts, and hence support early warning of food insecurity.
Dennis Wagenaar, Alex Curran, Mariano Balbi, Alok Bhardwaj, Robert Soden, Emir Hartato, Gizem Mestav Sarica, Laddaporn Ruangpan, Giuseppe Molinario, and David Lallemant
Nat. Hazards Earth Syst. Sci., 20, 1149–1161, https://doi.org/10.5194/nhess-20-1149-2020, https://doi.org/10.5194/nhess-20-1149-2020, 2020
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This invited perspective paper addresses how machine learning may change flood risk and impact assessments. It goes through different modelling components and provides an analysis of how current assessments are done without machine learning, current applications of machine learning and potential future improvements. It is based on a 2-week-long intensive collaboration among experts from around the world during the Understanding Risk Field lab on urban flooding in June 2019.
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 20, 967–979, https://doi.org/10.5194/nhess-20-967-2020, https://doi.org/10.5194/nhess-20-967-2020, 2020
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For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
Isabelle Braud, Lilly-Rose Lagadec, Loïc Moulin, Blandine Chazelle, and Pascal Breil
Nat. Hazards Earth Syst. Sci., 20, 947–966, https://doi.org/10.5194/nhess-20-947-2020, https://doi.org/10.5194/nhess-20-947-2020, 2020
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A method for the evaluation of a model that maps the susceptibility of a territory to surface runoff is presented. It is based on proxy data of localized impacts related to runoff. It accounts for the hazard level, the vulnerability of the study area and possible mitigation actions taken to reduce the risk. The evaluation is made on a 80 km railway line in Normandy (north of France), where a comprehensive database of runoff-related impacts on the railway has been gathered over the 20th century.
Alexandre M. Ramos, Pedro M. Sousa, Emanuel Dutra, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 20, 877–888, https://doi.org/10.5194/nhess-20-877-2020, https://doi.org/10.5194/nhess-20-877-2020, 2020
Rubén Moratiel, Raquel Bravo, Antonio Saa, Ana M. Tarquis, and Javier Almorox
Nat. Hazards Earth Syst. Sci., 20, 859–875, https://doi.org/10.5194/nhess-20-859-2020, https://doi.org/10.5194/nhess-20-859-2020, 2020
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The estimation of ETo using temperature is particularly attractive in places where air humidity, wind speed and solar radiation data are not readily available. In this study we used, for the estimation of ETo, seven models against Penman–Monteith FAO 56 with temporal (annual and seasonal) and spatial perspective over Duero basin (Spain). The results of the tested models can be useful for adopting appropriate measures for efficient water management under the limitation of agrometeorological data.
Kenichiro Kobayashi, Le Duc, Apip, Tsutao Oizumi, and Kazuo Saito
Nat. Hazards Earth Syst. Sci., 20, 755–770, https://doi.org/10.5194/nhess-20-755-2020, https://doi.org/10.5194/nhess-20-755-2020, 2020
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The feasibility of flood forecasting with 1600 rainfall forecasts was investigated. The rainfall forecasts were obtained from an advanced data assimilation system. The high probability of flood occurrence was predicted, which is not possible by the single deterministic forecast. The necessity of emergency flood operation was shown with a long leading time. This suggests that it is worth investing in increasing numbers of meteorological ensembles to improve flood forecasting.
Michael L. Follum, Ricardo Vera, Ahmad A. Tavakoly, and Joseph L. Gutenson
Nat. Hazards Earth Syst. Sci., 20, 625–641, https://doi.org/10.5194/nhess-20-625-2020, https://doi.org/10.5194/nhess-20-625-2020, 2020
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AutoRoute is one of the tools used by the US Military to create
high-resolution flood inundation maps at regional to continental scales. Although proven to be useful in simulating floods in remote regions of the world, the accuracy of the model has had only limited testing for nonextreme flood cases. This paper presents improvements to AutoRoute to accurately simulate both extreme and nonextreme flood cases while improving the applicability in a production setting.
Anaïs Couasnon, Dirk Eilander, Sanne Muis, Ted I. E. Veldkamp, Ivan D. Haigh, Thomas Wahl, Hessel C. Winsemius, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 20, 489–504, https://doi.org/10.5194/nhess-20-489-2020, https://doi.org/10.5194/nhess-20-489-2020, 2020
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When a high river discharge coincides with a high storm surge level, this can exarcebate flood level, depth, and duration, resulting in a so-called compound flood event. These events are not currently included in global flood models. In this research, we analyse the timing and correlation between modelled discharge and storm surge level time series in deltas and estuaries. Our results provide a first indication of regions along the global coastline with a high compound flooding potential.
Beatrice Monteleone, Brunella Bonaccorso, and Mario Martina
Nat. Hazards Earth Syst. Sci., 20, 471–487, https://doi.org/10.5194/nhess-20-471-2020, https://doi.org/10.5194/nhess-20-471-2020, 2020
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This study proposes a new drought index that combines meteorological and agricultural drought aspects. The index is scalable, transferable all over the globe, can be updated in near real time and is a
remote-sensing product, since only satellite-based datasets were employed. A set of rules to objectively identify drought events is also implemented. We found that the set of rules, applied together with the new index, outperformed conventional drought indices in identifying droughts in Haiti.
Hélène Roux, Arnau Amengual, Romu Romero, Ernest Bladé, and Marcos Sanz-Ramos
Nat. Hazards Earth Syst. Sci., 20, 425–450, https://doi.org/10.5194/nhess-20-425-2020, https://doi.org/10.5194/nhess-20-425-2020, 2020
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The performances of flash-flood forecasts are evaluated using a meteorological model forcing a rainfall-runoff model. Both deterministic (single forecast of the most likely weather) and ensemble forecasts (set or ensemble of forecasts) have been produced on three subcatchments of the eastern Pyrenees exhibiting different rainfall regimes. Results show that both overall discharge forecast and flood warning are improved by the ensemble strategies with respect to the deterministic forecast.
María Teresa Contreras and Cristián Escauriaza
Nat. Hazards Earth Syst. Sci., 20, 221–241, https://doi.org/10.5194/nhess-20-221-2020, https://doi.org/10.5194/nhess-20-221-2020, 2020
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In this investigation we study the effects of high sediment concentrations on the dynamics of flash floods in mountain regions, with an application to a river in the Andes that has produced catastrophic events in the city of Santiago, Chile. We develop an advanced computational model to understand the effects of floods with high sediment loads on steep channels. These new insights can be used to design early warning systems and contribute to urban planning in cities near mountain rivers.
Chunbo Jiang, Qi Zhou, Wangyang Yu, Chen Yang, and Binliang Lin
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-355, https://doi.org/10.5194/nhess-2019-355, 2019
Revised manuscript accepted for NHESS
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We proposed a new dynamic coupling model for flood simulation and prediction. The model assesses both hydrologic and hydraulic process based on characteristic theory. It was validated by several classic numerical test cases as well as experiments data, and it was implemented to a real study case. The results show that the model proposed is capable and accurate for flood simulation and further risk assessment.
José González-Cao, Orlando García-Feal, Diego Fernández-Nóvoa, José Manuel Domínguez-Alonso, and Moncho Gómez-Gesteira
Nat. Hazards Earth Syst. Sci., 19, 2583–2595, https://doi.org/10.5194/nhess-19-2583-2019, https://doi.org/10.5194/nhess-19-2583-2019, 2019
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An early-warning system (EWS) for flood prediction was developed in the upper reach of the Miño River and the city of Lugo (NW Spain). This EWS can provide accurate results in less than 1 h, for a forecast horizon of 3 d, and report an alert situation to decision makers in order to mitigate the consequences of floods. In addition, this EWS can be easily adapted for any area of the world since the required input data and software are freely available.
Jorge Lorenzo-Lacruz, Arnau Amengual, Celso Garcia, Enrique Morán-Tejeda, Víctor Homar, Aina Maimó-Far, Alejandro Hermoso, Climent Ramis, and Romualdo Romero
Nat. Hazards Earth Syst. Sci., 19, 2597–2617, https://doi.org/10.5194/nhess-19-2597-2019, https://doi.org/10.5194/nhess-19-2597-2019, 2019
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On 9 October 2018, an extreme convective storm (> 300 mm accumulated in 6 h) generated a flash flood (305 m3 s−1) in the Ses Planes torrent that devastated the town of Sant Llorenç (Mallorca, Spain). Water reached a depth of 3 m in the most affected areas, and there was greatly increased flow velocity at bridges crossing the town. The floodwaters were very powerful and modified the channel morphology: more than 5000 t of sediment was deposited in the 2 km reach upstream of the town.
Leila Goodarzi, Mohammad E. Banihabib, Abbas Roozbahani, and Jörg Dietrich
Nat. Hazards Earth Syst. Sci., 19, 2513–2524, https://doi.org/10.5194/nhess-19-2513-2019, https://doi.org/10.5194/nhess-19-2513-2019, 2019
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We developed a novel approach in using Bayesian networks (BNs) for ensemble flood forecasting in a case study in Iran. This allows fast early warning without the need for hydrological modelling. We recommend to combine precipitation ensembles with hydrological initial conditions in the BN. The number of observed flood events is low by nature. Under the limited amount of data, BN outperformed artificial neural networks with good results. Future work will validate the concept further.
J. Michael Johnson, Dinuke Munasinghe, Damilola Eyelade, and Sagy Cohen
Nat. Hazards Earth Syst. Sci., 19, 2405–2420, https://doi.org/10.5194/nhess-19-2405-2019, https://doi.org/10.5194/nhess-19-2405-2019, 2019
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The coupled National Water Model (NWM)–Height Above Nearest Drainage flood mapping methodology provides the basis for operational flood forecasting across the continental United States. This paper evaluates how the method performs for 28 case studies using a historic archive of flood extents and a retrospective run of the NWM. We provide a summary of the results and discuss where the method is performing reliably, the general reasons for poor forecasts, and how the method might be improved.
Manuela I. Brunner, Katharina Liechti, and Massimiliano Zappa
Nat. Hazards Earth Syst. Sci., 19, 2311–2323, https://doi.org/10.5194/nhess-19-2311-2019, https://doi.org/10.5194/nhess-19-2311-2019, 2019
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The 2018 drought event had severe ecological, economic, and social impacts. How extreme was it in Switzerland? We addressed this question by looking at different types of drought, including meteorological, hydrological, agricultural, and groundwater drought, and at the two characteristics deficit and deficit duration. The return period estimates depended on the region, variable, and return period considered.
Adam Griffin, Gianni Vesuviano, and Elizabeth Stewart
Nat. Hazards Earth Syst. Sci., 19, 2157–2167, https://doi.org/10.5194/nhess-19-2157-2019, https://doi.org/10.5194/nhess-19-2157-2019, 2019
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Classical statistical methods for flood frequency estimation assume flooding characteristics do not change over time. Recent focus on climate change has raised questions of the validity of such assumptions. Near-natural catchments are used to focus on climate (not land-use) change, investigating the sensitivity of trend estimates to the period of record. Some key statistics were very sensitive, but conclusive spatial patterns were not found. Smaller floods were most affected by these trends.
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.
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.
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.
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.
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.
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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