Articles | Volume 22, issue 12
https://doi.org/10.5194/nhess-22-3957-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-3957-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
12 Dec 2022
Research article |
| 12 Dec 2022
| 12 Dec 2022
Multiscale flood risk assessment under climate change: the case of the Miño River in the city of Ourense, Spain
Diego Fernández-Nóvoa
CORRESPONDING AUTHOR
Centro de Investigación Mariña (CIM), Universidade de Vigo,
Environmental Physics Laboratory (EPhysLab), Campus da Auga, 32004 Ourense,
Spain
Instituto Dom Luiz (IDL), Faculdade de Ciências da Universidade de Lisboa, 1749-016 Lisbon, Portugal
Orlando García-Feal
Centro de Investigación Mariña (CIM), Universidade de Vigo,
Environmental Physics Laboratory (EPhysLab), Campus da Auga, 32004 Ourense,
Spain
Water and Environmental Engineering Group, Department of Civil
Engineering, Universidade da Coruña, 15071 A Coruña, Spain
José González-Cao
Centro de Investigación Mariña (CIM), Universidade de Vigo,
Environmental Physics Laboratory (EPhysLab), Campus da Auga, 32004 Ourense,
Spain
Maite deCastro
Centro de Investigación Mariña (CIM), Universidade de Vigo,
Environmental Physics Laboratory (EPhysLab), Campus da Auga, 32004 Ourense,
Spain
Moncho Gómez-Gesteira
Centro de Investigación Mariña (CIM), Universidade de Vigo,
Environmental Physics Laboratory (EPhysLab), Campus da Auga, 32004 Ourense,
Spain
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Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
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Miroslav Spano and Jaromir Riha
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Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Ina Pohle, Sarah Zeilfelder, Johannes Birner, and Benjamin Creutzfeldt
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-187, https://doi.org/10.5194/nhess-2024-187, 2024
Revised manuscript accepted for NHESS
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Climate change, the lignite mining phase-out, and structural changes challenge Berlin's water resources management. The 2018–2023 drought uniquely impacted temperature, precipitation, groundwater, and surface water. Reduced water availability and rising demand are creating latent water quality problems. Addressing these challenges requires extensive measures in Berlin and its surrounding areas.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Mithun Deb, Hong-Yi Li, and L. Ruby Leung
EGUsphere, https://doi.org/10.5194/egusphere-2024-2785, https://doi.org/10.5194/egusphere-2024-2785, 2024
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Our study explores how riverine and coastal flooding during hurricanes is influenced by the interaction of atmosphere, land, river and ocean conditions. Using an advanced Earth system model, we simulate Hurricane Irene to evaluate how meteorological and hydrological uncertainties affect flood modeling. Our findings reveal the importance of a multi-component modeling system, how hydrological conditions play critical roles in flood modeling, and greater flood risks if multiple factors are present.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-139, https://doi.org/10.5194/nhess-2024-139, 2024
Revised manuscript accepted for NHESS
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This work introduces RIM2D, a hydrodynamic model for precise and rapid flood predictions, ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-97, https://doi.org/10.5194/nhess-2024-97, 2024
Revised manuscript accepted for NHESS
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The July 2021 flood in Central Europe was one of the deadliest floods in Europe in the past decades and the most expensive flood in Germany. In this paper we show that the hydrological impact of this event in the Ahr valley could have been even worse if the rainfall footprint trajectory was only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps better prepare for future extreme floods.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
Nat. Hazards Earth Syst. Sci., 24, 1607–1634, https://doi.org/10.5194/nhess-24-1607-2024, https://doi.org/10.5194/nhess-24-1607-2024, 2024
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Mountain river confluences are hazardous during localized flooding events. A physical model was used to determine the dominant controls over mountain confluences. Contrary to lowland confluences, in mountain regions, the channel discharges and (to a lesser degree) the tributary sediment concentration control morphological patterns. Applying conclusions drawn from lowland confluences could misrepresent depositional and erosional patterns and the related flood hazard at mountain river confluences.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Cited articles
Alderman, K., Turner, L. R., and Tong, S.: Floods and human health: a
systematic review, Environ. Int., 47, 37–47,
https://doi.org/10.1016/j.envint.2012.06.003, 2012.
Alfieri, L., Bisselink, B., Dottori, F., Naumann, G., de Roo, A., Salamon,
P., Wyser, K., and Feyen, L.: Global projections of river flood risk in a
warmer world, Earth's Future, 5, 171–182.
https://doi.org/10.1002/2016EF000485, 2017.
Areu-Rangel, O. S., Cea, L., Bonasia, R., and Espinosa-Echavarria, V. J.:
Impact of urban growth and changes in land use on river flood hazard in
Villahermosa, Tabasco (Mexico), Water, 11, 304,
https://doi.org/10.3390/w11020304, 2019.
Arnell, N. W. and Gosling, S. N.: The impacts of climate change on river
flood risk at the global scale, Climatic Change, 134, 387–401,
https://doi.org/10.1007/s10584-014-1084-5, 2016.
Benito, G., Machado, M. J., and Pérez González, A.: Climate change
and flood sensivity in Spain, in: Global continental Changes: the context of palaeohydrology, edited by: Brarndson, J., Brown, A. G. and Gregory, K.
L.,
Geological Society Special Publication no. 115, 85–98,
Londres, https://doi.org/10.1144/GSL.SP.1996.115.01.08, 1996.
Benito, G., Díez-Herrero, A., and de Villalta, M.: Magnitude and
frequency of flooding in the Tagus Basin (Central Spain) over the last
millennium, Climatic Change, 58, 171–192, 2003.
Benito, G., Brázdil, R., Herget, J., and Machado, M. J.: Quantitative historical hydrology in Europe, Hydrol. Earth Syst. Sci., 19, 3517–3539, https://doi.org/10.5194/hess-19-3517-2015, 2015.
Bladé, E., Cea, L., Corestein, G., Escolano, E., Puertas, J., Vázquez-Cendón, E., Dolz, J., and Coll, A.: Iber – River modelling simulation tool, Rev. Int. Métod. Numér., 30, 1–10, https://doi.org/10.1016/j.rimni.2012.07.004, 2014.
Blöschl, G., Hall, J., Parajka, J., Perdigão, R. A. P., Merz, B., Arheimer, B., Aronica, G. T., Bilibashi, A., Bonacci, O., Borga, M., Čanjevac, I., Castellarin, A., Chirico, G. B., Claps, P., Fiala, K., Frolova, N., Gorbachova, L., Gül, A., Hannaford, J., Harrigan, S., Kireeva, M., Kiss, A., Kjeldsen, T. R., Kohnová, S., Koskela, J. J., Ledvinka, O., Macdonald, N., Mavrova-Guirguinova, M., Mediero, L., Merz, R., Molnar, P., Montanari, A., Murphy, C., Osuch, M., Ovcharuk, V., Radevski, I., Rogger, M., Salinas, J. L., Sauquet, E., Šraj, M., Szolgay, J., Viglione, A., Volpi, E., Wilson, D., Zaimi, K., and Živković, N.: Changing climate shifts timing of European floods,
Science, 357, 588–590, https://doi.org/10.1126/science.aan2506#con16, 2017.
Cea, L. and Fraga, I.: Incorporating antecedent moisture conditions and
intraevent variability of rainfall on flood frequency analysis in poorly
gauged basins, Water Resour. Res., 54, 8774–8791,
https://doi.org/10.1029/2018WR023194, 2018.
CLC: CORINE Land Cover, European Union, Copernicus Land Monitoring Service,
European Environment Agency (EEA), https://land.copernicus.eu/ (last access: March 2022), 2018.
Cox, R. J., Shand, T. D., and Blacka, M. J.: Australian Rainfall and Runoff
revision project 10: appropriate safety criteria for people, Water Research
Laboratory, P10/S1/006, ISBN 978-085825-9454, 2010.
Cutter, S., Osman-Elasha, B., Campbell, J., Cheong, S.-M., McCormick, S.,
Pulwarty, R., Supratid, S., and Ziervogel, G.: Managing the risks from
climate extremes at the local level. In: Managing the Risks of Extreme
Events and Disasters to Advance Climate Change Adaptation, A Special Report of Working Groups I and II of the
Intergovernmental Panel on Climate Change (IPCC), edited by: Field, C. B.,
Barros, V., Stocker, T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea,
M. D., Mach, K. J., Plattner, G.-K., Allen, S. K., Tignor, M., and Midgley, P.M., Cambridge University
Press, Cambridge, UK, and New York, NY, USA, 291–338, 2012.
Dankers, R. and Feyen, L.: Climate change impact on flood hazard in Europe:
An assessment based on high-resolution climate simulations, J. Geophys.
Res.-Atmos., 113, D19105, https://doi.org/10.1029/2007JD009719, 2008.
Davis, J., O'Grady, A. P., Dale, A., Arthington, A. H., Gell, P. A., Driver,
P. D., Bond, N., Casanova, M., Finalyson, M., Watts, R. J., Capon, S. J.,
Nagelkerken, I., Tingley, R., Fry, B., Page, T. J., and Specht, A.: When
trends intersect: The challenge of protecting freshwater ecosystems under
multiple land use and hydrological intensification scenarios, Sci. Total
Environ., 534, 65–78, https://doi.org/10.1016/j.scitotenv.2015.03.127, 2015.
deCastro, M., Lorenzo, N., Taboada, J. J., Sarmiento, M., Alvarez, I., and
Gomez-Gesteira, M.: Influence of teleconnection patterns on precipitation
variability and on river flow regimes in the Miño River basin (NW
Iberian Peninsula), Clim. Res., 32, 63–73, https://doi.org/10.3354/cr032063,
2006.
Déry, S. J., Hernández-Henríquez, M. A., Burford, J. E., and
Wood, E. F.: Observational evidence of an intensifying hydrological cycle in
northern Canada, Geophys. Res. Lett., 36, L31402,
https://doi.org/10.1029/2009GL038852, 2009.
Des, M., Fernández-Nóvoa, D., deCastro, M., Gómez-Gesteira, J.
L., Sousa, M. C., and Gómez-Gesteira, M.: Modeling salinity drop in
estuarine areas under extreme precipitation events within a context of
climate change: Effect on bibalve mortality in Galician Rias Baixas, Sci.
Total Environ., 790, 148147,
https://doi.org/10.1016/j.scitotenv.2021.148147, 2021.
Di Sante, F., Coppola, F., and Giorgi, F.: Projections of river floods in
Europe using EURO-CORDEX, CMIP5 and CMIP6 simulations, Int. J. Climatol.,
41, 3203–3221, https://doi.org/10.1002/joc.7014, 2021.
EURO-CORDEX: Coordinated Downscaling Experiment – European Domain, World Climate Research Program (WCRP) [data set], https://www.euro-cordex.net/060378/index.php.en, last access: March 2022.
Fekete, A., Tzavella, K., and Baumhauer, R.: Spatial exposure aspects
contributing to vulnerability and resilience assessments of urban critical
infrastructure in a flood and blackout context, Nat. Hazards, 86,
151–176, https://doi.org/10.1007/s11069-016-2720-3, 2017.
Feldman, A. D.: Hydrologic Modeling System HEC-HMS: Technical Reference
Manual, USA Army Corps of Engineers, Washington, DC, USA, Hydrologic
Engineering Center, Davis, CA, USA, https://www.hec.usace.army.mil/software/hec-hms/documentation/HEC-HMS_Technical Reference Manual_(CPD-74B).pdf (last access: March 2022), 2000.
Fernández-Nóvoa, D., deCastro, M., Des, M., Costoya, X., Mendes, R.,
and Gómez-Gesteira, M.: Characterization of Iberian turbid plumes by
means of synoptic patterns obtained through MODIS imagery, J. Sea Res., 126,
12–25, https://doi.org/10.1016/j.seares.2017.06.013, 2017.
Fernández-Nóvoa, D., García-Feal, O., González-Cao, J., de
Gonzalo, C., Rodríguez-Suárez, J. A., Ruiz del Portal, C., and
Gómez Gesteira, M.: MIDAS: A New Integrated Flood Early Warning System
for the Miño River, Water, 12, 2319, https://doi.org/10.3390/w12092319,
2020.
Fraga, I., Cea, L., and Puertas, J.: MERLIN: a flood hazard forecasting
system for coastal river reaches, Nat. Hazards, 100, 1171–1193.
https://doi.org/10.3390/w12092319, 2020.
García-Feal, O., González-Cao, J., Gomez-Gesteira, M., Cea, L.,
Domínguez, J. M., and Formella, A.: An accelerated tool for flood
modelling based on Iber, Water 10, 1459,
https://doi.org/10.3390/w10101459, 2018.
Garijo, C. and Mediero, L.: Influence of climate change on flood magnitude
and seasonality in the Arga River catchment in Spain, Acta Geophys., 66,
769–790, https://doi.org/10.1007/s11600-018-0143-0, 2018.
Gloor, M., Brienen, R. J. W., Galbraith, D., Feldpausch, T. R.,
Schöngart, J., Guyot, J.-L., Espinoza, J. C., Lloyd, J., and Phillips,
O. L.: Intensification of the amazon hydrological cycle over the last two
decades, Geophys. Res. Lett., 40, 1729–1733,
https://doi.org/10.1002/grl.50377, 2013.
González-Cao, J., García-Feal, O., Fernández-Nóvoa, D., Domínguez-Alonso, J. M., and Gómez-Gesteira, M.: Towards an automatic early warning system of flood hazards based on precipitation forecast: the case of the Miño River (NW Spain), Nat. Hazards Earth Syst. Sci., 19, 2583–2595, https://doi.org/10.5194/nhess-19-2583-2019, 2019.
González-Cao, J., Fernández-Nóvoa, D., García-Feal, O.,
Figueira, J. R., Vaquero, J. M., Trigo, R. M., and Gómez-Gesteira, M.:
Numerical reconstruction of historical extreme floods: The Guadiana event of
1876, J. Hydrol., 599, 126292,
https://doi.org/10.1016/j.jhydrol.2021.126292, 2021.
Gouveia, N. A., Gherardi, D. F. M., and Aragao, L. E. O. C.: The Role of the
Amazon River Plume on the Intensification of the Hydrological Cycle,
Geophys. Res. Lett., 46, 12221–12229, https://doi.org/10.1029/2019GL084302,
2019.
Huang, S., Hattermann, F. F., Krysanova, V., Bronstert, A.: Projections of
climate change impacts on river flood conditions in Germany by combining
three different RCMs with a regional eco-hydrological model, Climatic
Change, 116, 631–663, https://doi.org/10.1007/s10584-012-0586-2, 2013.
IPCC: Managing the Risks of Extreme Events and Disasters to Advance Climate
Change Adaptation, A Special Report of Working Groups I and II of the
Intergovernmental Panel on Climate Change, edited by: Field, C. B., Barros, V., Stocker,
T. F., Qin, D., Dokken, D. J., Ebi, K. L., Mastrandrea, M. D., Mach, K. J.,
Plattner, G.-K., Allen, S. K., Tignor, M., Midgley, P. M., Cambridge
University Press, Cambridge, UK, and New York, NY, USA, 582 pp., 2012.
Jacob, D., Petersen J., Eggert, B., Alias, A., Christensen, O. B., Bouwer, L. M., Braun, A., Colette, A., Déqué, M., Georgievski, G., Georgopoulou, E., Gobiet, A., Menut, L., Nikulin, G., Haensler, A., Hempelmann, N., Jones, C., Keuler, K., Kovats, S., Kröner, N., Kotlarski, S., Kriegsmann, A., Martin, E., van Meijgaard, E., Moseley, C., Pfeifer, S., Preuschmann, S., Radermacher, C., Kadtke, K., Rechid, D., Rounsevell, M., Samuelsson, P., Somot, S., Soussana, J. F., Teichmann, C., Valentini, R., Vautard, R., Weber, B., and Yiou, P.: EURO-CORDEX: new high-resolution climate change
projections for European impact research, Reg. Environ. Change, 14, 563–578,
2014.
Jongman, B.: Effective adaptation to rising flood risk, Nat. Commun., 9,
1986, https://doi.org/10.1038/s41467-018-04396-1, 2018.
Jonkman, S. N.: Global perspectives on loss of human life caused by floods,
Nat. Hazards, 34, 151–175, https://doi.org/10.1007/s11069-004-8891-3,
2005.
Kundzewicz, Z. W., Lugeri, N., Dankers, R., Hirabayashi, Y., Döll, P.,
Pińskwar, I., Dusarz, T., Hochrainer, S., and Matczak, P.: Assessing
river flood risk and adaptation in Europe – review of projections for the
future, Mitig. Adapt. Strat. Gl., 15, 641–656,
https://doi.org/10.1007/s11027-010-9213-6, 2010.
Lavers, D. A., Allan, R. P., Wood, E. F., Villarini, G., Brayshaw, D. J.,
and Wade, A. J.: Winter floods in Britain are connected to atmospheric
rivers, Geophys. Res. Lett., 38, L23803, https://doi.org/10.1029/2011GL049783,
2011.
Lorenzo, M. N. and Alvarez, I.: Climate change patterns in precipitation
over Spain using CORDEX projections for 2021–2050, Sci. Total Environ.,
723, 138024, https://doi.org/10.1016/j.scitotenv.2020.138024, 2020.
Mel, R. A., Viero, D. P., Carniello, L., and D'Alpaos, L.: Optimal floodgate
operation for river flood management: The case study of Padova (Italy), J.
Hydrol. Reg. Stud., 30, 100702, https://doi.org/10.1016/j.ejrh.2020.100702,
2020.
MeteoGalicia: The Regional Meteorological Agency of Galicia, MeteoGalicia [data set], https://www.meteogalicia.gal/observacion/estacions/estacions.action?request_locale=e last access: March 2022.
Munoz, S. E., Giosa, L., Therrell, M. D., Remo, J. W. F., Shen, Z.,
Sullivan, R. M., Wiman, C., O'Donnell, M., and Donnelly, J. P.: Climatic
control of Mississippi River flood hazard amplified by river engineering,
Nature, 556, 95–98, https://doi.org/10.1038/nature26145, 2018.
Noji, E. K.: The public health consequences of disasters, Prehospital and Disaster Medicine, 15, 147–157, 2000.
Ortega, J. A. and Garzón, G.: A contribution to improved flood magnitude estimation in base of palaeoflood record and climatic implications – Guadiana River (Iberian Peninsula), Nat. Hazards Earth Syst. Sci., 9, 229–239, https://doi.org/10.5194/nhess-9-229-2009, 2009.
Padulano, R., Rianna, G., Costabile, P., Costanzo, C., Del Giudice, G.,
Mercogliano, P.: Propagation of variability in climate projections within
urban flood modelling: A multi-purpose impact analysis, J. Hydrol., 602,
126756, https://doi.org/10.1016/j.jhydrol.2021.126756, 2021.
Paprotny, D., Sebastian, A., Morales-Nápoles, O., and Jonkman, S. N.:
Trends in flood losses in Europe over the past 150 years, Nat. Commun.,
9, 1985, https://doi.org/10.1038/s41467-018-04253-1, 2018.
Peixoto, J. P. and Oort, A. H.: Physics of Climate, American
Institute of Physics, New York, NY, 412–433, ISBN 978-0-88318-712-8, 1992.
Pereira, S., Ramos, A. M., Zêzere, J. L., Trigo, R. M., and Vaquero, J. M.: Spatial impact and triggering conditions of the exceptional hydro-geomorphological event of December 1909 in Iberia, Nat. Hazards Earth Syst. Sci., 16, 371–390, https://doi.org/10.5194/nhess-16-371-2016, 2016.
Peres, D. J., Senatore, A., Nanni, P., Cancelliere, A., Mendicino, G., and Bonaccorso, B.: 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, Nat. Hazards Earth Syst. Sci., 20, 3057–3082, https://doi.org/10.5194/nhess-20-3057-2020, 2020.
Perkins, S. E., Pitman, A. J., Holbrook, N. J., and McAneney, J.: Evaluation
of the AR4 Climate Models' Simulated Daily Maximum Temperature, Minimum
Temperature, and Precipitation over Australia Using Probability Density
Functions, J. Climate, 20, 4356–4376, https://doi.org/10.1175/JCLI4253.1,
2007.
Pierce, D. W., Barnett, T. P., Santer, B. D., and Gleckler, J.: Selecting
global climate models for regional climate change studies, P. Natl. Acad. Sci. USA, 106,
8441–8446, https://doi.org/10.1073/pnas.0900094106, 2009.
Portugués-Mollá, I., Bonache-Felici, X., Mateu-Bellés, J., and
Marco-Segura, J.: A GIS-Based Model for the analysis of an urban flash flood
and its hydro-geomorphic response. The Valencia event of 1957, J. Hydrol.,
541, 582–596, https://doi.org/10.1016/j.jhydrol.2016.05.048, 2016.
Rebelo, L., Ramos, A. M., Pereira, S., and Trigo, R. M.: Meteorological
Driving Mechanisms and Human Impacts of the February 1979 Extreme
Hydro-Geomorphological Event in Western Iberia, Water, 10, 454,
https://doi.org/10.3390/w10040454, 2018.
Scharffenberg, B., Bartles, M., Brauer, T., Fleming, M., and Karlovits, G.:
Hydrologic Modeling System (HEC-HMS), User's Manual, Version 4.3, USA Army
Corps of Engineers, Washington, DC, USA, https://www.hec.usace.army.mil/software/hec-hms/documentation/HEC-HMS_Users_Manual_4.3.pdf, 2018.
Schwalm, C. R., Glendon, S., and Duffy, P. B.: RCP8.5 tracks cumulative CO2
emissions, P. Natl. Acad. Sci. USA, 117, 19656–19657,
https://doi.org/10.1073/pnas.2007117117, 2020.
Stoleriu, C. C., Urzica, A., and Mihu-Pintilie, A.: Improving flood risk map
accuracy using high-density LiDAR data and the HEC-RAS river analysis
system: A case study from north-eastern Romania, J. Flood Risk Manag., 13,
e12572, https://doi.org/10.1111/jfr3.12572, 2020.
te Linde, A. H., Bubeck, P., Dekkers, J. E. C., de Moel, H., and Aerts, J. C. J. H.: Future flood risk estimates along the river Rhine, Nat. Hazards Earth Syst. Sci., 11, 459–473, https://doi.org/10.5194/nhess-11-459-2011, 2011.
Trigo, I. F.: Climatology and interannual variability of storm-tracks in the
Euro-Atlantic sector: a comparison between ERA-40 and NCEP/NCAR reanalyses,
Clim. Dynam., 26, 127–143, https://doi.org/10.1007/s00382-005-0065-9, 2006.
Trigo, R. M., Pozo-Vázquez, D., Osborn, T. J., Castro-Díez, Y.,
Gámiz-Fortis, S., and Esteban-Parra, M. J.: North Atlantic Oscillation
influence on precipitation, river flow and water resources in the Iberian
Peninsula, Int. J. Climatol., 24, 925–944.
https://doi.org/10.1002/joc.1048, 2004.
Trigo, R. M., Varino, F., Ramos, A. M., Valente, M. A., Zêzere, J. L.,
Vaquero, J. M., Gouveia, C. M., and Russo, A.: The record precipitation and
flood event in Iberia in December 1876: description and synoptic analysis,
Front. Earth Sci., 2, 3, https://doi.org/10.3389/feart.2014.00003, 2014.
Trigo, R. M., Ramos, C., Pereira, S. S., Ramos, A. M., Zêzere, J. L.,
and Liberato, M. L.: The deadliest storm of the 20th century striking
Portugal: Flood impacts and atmospheric circulation, J. Hydrol., 541,
597–610, https://doi.org/10.1016/j.jhydrol.2015.10.036, 2016.
U.S. Army Corps of Engineers: Hydrologic Modeling System (HEC-HMS) User's
Manual, Version 4.3, Institute for Water Resources Davis: Hydrologic
Engineering Center, https://www.hec.usace.army.mil/software/hec-hms/documentation/ (last access: March 2022), 2018.
U.S. Army Corps of Engineers: HEC-HMS, U.S. Army Corps of Engineers [data set], https://www.hec.usace.army.mil/software/hec-hms/downloads.aspx, last access: March 2022.
Wallemacq, P., House, R., Below, R., and McLean, D.: Economic Losses,
Poverty & Disasters: 1998–2017; Centre for Research on the Epidemiology
of Disasters (CRED); United Nations Officce for Disaster Risk Reduction
(UNISDR), Brussels, Belgium, https://www.undrr.org/publication/economic-losses-poverty-disasters-1998-2017 (last access: March 2022), 2018.
Zêzere, J. L., Pereira, S., Tavares, A. O., Bateira, C., Trigo, R. M.,
Quaresma, I., Santos, P. P., Santos, M., and Verde, J.: DISASTER: a GIS
database on hydro-geomorphologic disasters in Portugal, N. Hazards, 72,
503–532, https://doi.org/10.1007/s11069-013-1018-y, 2014.
Zhu, Y., Lin, Z., Zhao, Y., Li, H., He, F., Zhai, J., Wang, L., and Wang,
Q.: Flood simulations and uncertainty analysis for the Pearl River basin
using the coupled land surface and hydrological model system, Water, 9,
391, https://doi.org/10.3390/w9060391, 2017.
Short summary
A multiscale analysis, where the historical and future precipitation data from the CORDEX project were used as input in a hydrological model (HEC-HMS) that, in turn, feeds a 2D hydraulic model (Iber+), was applied to the case of the Miño-Sil basin (NW Spain), specifically to Ourense city, in order to analyze future changes in flood hazard. Detailed flood maps indicate an increase in the frequency and intensity of future floods, implying an increase in flood hazard in important areas of the city.
A multiscale analysis, where the historical and future precipitation data from the CORDEX...
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