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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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.
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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.
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Théo St. Pierre Ostrander, Thomé Kraus, Bruno Mazzorana, Johannes Holzner, Andrea Andreoli, Francesco Comiti, and Bernhard Gems
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Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-20, https://doi.org/10.5194/nhess-2024-20, 2024
Revised manuscript accepted for NHESS
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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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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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Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern U.S., 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.
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024, https://doi.org/10.5194/nhess-24-681-2024, 2024
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This study presents a new version of a framework which allows us to model water balance components at any site on a local scale. Compared with the first version, the second incorporates new datasets used to set up and force the model. In particular, we highlight the ability of the framework to provide seasonal forecasts. This gives potential stakeholders (farmers, foresters, policymakers, etc.) the possibility to forecast, for example, soil moisture drought and thus apply the necessary measures.
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024, https://doi.org/10.5194/nhess-24-609-2024, 2024
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The present study focuses on an in-depth analysis of floods in the lower section of the Tagus River from a hydrodynamic perspective by means of the Iber+ numerical model and on the development of dam operating strategies to mitigate flood episodes using the exceptional floods of February 1979 as a benchmark. The results corroborate the model's capability to evaluate floods in the study area and confirm the effectiveness of the proposed strategies to reduce flood impact in the lower Tagus valley.
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
EGUsphere, https://doi.org/10.5194/egusphere-2024-421, https://doi.org/10.5194/egusphere-2024-421, 2024
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Drought is a creeping phenomenon, but it is often still analysed and managed like an event without taking into consideration what happened before and after. In this paper we review the literature and discuss five cases, where drought, its impacts and responses develop differently over time. We look at the hydrological, ecological and social system and their connections. And we provide suggestions for further research and for monitoring, modelling and management.
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024, https://doi.org/10.5194/nhess-24-539-2024, 2024
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We present a global flood model built using a new terrain data set and evaluated in the Central Highlands of Vietnam.
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024, https://doi.org/10.5194/nhess-24-501-2024, 2024
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CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment) is a new physically based and spatially distributed rainfall-runoff model. The main novelties consist of reproducing rainfall-induced geo-hydrological hazards such as shallow landslide, debris flow and watershed erosion through a multi-hazard approach. CRHyME was written in Python, works at a high spatial and temporal resolution, and is a tool suitable for quantifying extreme rainfall consequences at the basin scale.
Leanne Archer, Jeffrey Neal, Paul Bates, Emily Vosper, Dereka Carroll, Jeison Sosa, and Daniel Mitchell
Nat. Hazards Earth Syst. Sci., 24, 375–396, https://doi.org/10.5194/nhess-24-375-2024, https://doi.org/10.5194/nhess-24-375-2024, 2024
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We model hurricane-rainfall-driven flooding to assess how the number of people exposed to flooding changes in Puerto Rico under the 1.5 and 2 °C Paris Agreement goals. Our analysis suggests 8 %–10 % of the population is currently exposed to flooding on average every 5 years, increasing by 2 %–15 % and 1 %–20 % at 1.5 and 2 °C. This has implications for adaptation to more extreme flooding in Puerto Rico and demonstrates that 1.5 °C climate change carries a significant increase in risk.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-21, https://doi.org/10.5194/nhess-2024-21, 2024
Revised manuscript accepted for NHESS
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Our study examines how building the Skalička Dam near the Hranice Karst affects local groundwater. We used advanced modeling to analyze two dam layouts: lateral and through-flow reservoirs. Results show the through-flow variant significantly alters water levels and mineral water discharge, while the lateral layout has less impact.
Luis Cea, Manuel Álvarez, and Jerónimo Puertas
Nat. Hazards Earth Syst. Sci., 24, 225–243, https://doi.org/10.5194/nhess-24-225-2024, https://doi.org/10.5194/nhess-24-225-2024, 2024
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Mozambique is highly exposed to the impact of floods. To reduce flood damage, it is necessary to develop mitigation measures. Hydrological software is a very useful tool for that purpose, since it allows for a precise quantification of flood hazard in different scenarios. We present a methodology to quantify flood hazard in data-scarce regions, using freely available data and software, and we show its potential by analysing the flood event that took place in the Umbeluzi Basin in February 2023.
Lorenzo Alfieri, Andrea Libertino, Lorenzo Campo, Francesco Dottori, Simone Gabellani, Tatiana Ghizzoni, Alessandro Masoero, Lauro Rossi, Roberto Rudari, Nicola Testa, Eva Trasforini, Ahmed Amdihun, Jully Ouma, Luca Rossi, Yves Tramblay, Huan Wu, and Marco Massabò
Nat. Hazards Earth Syst. Sci., 24, 199–224, https://doi.org/10.5194/nhess-24-199-2024, https://doi.org/10.5194/nhess-24-199-2024, 2024
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This work describes Flood-PROOFS East Africa, an impact-based flood forecasting system for the Greater Horn of Africa. It is based on hydrological simulations, inundation mapping, and estimation of population and assets exposed to upcoming river floods. The system supports duty officers in African institutions in the daily monitoring of hydro-meteorological disasters. A first evaluation shows the system performance for the catastrophic floods in the Nile River basin in summer 2020.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-206, https://doi.org/10.5194/nhess-2023-206, 2024
Revised manuscript accepted for NHESS
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Climate change is leading in the Pyrenees Massif to a change in socioeconomic increasing their sensitivity to natural risks such as floods. However, until now, no systematic study like this one had been carried out that would allow evaluating the frequency, distribution and main meteorological features of these events on a massif scale. In 35 years there have been 181 flood events that have produced 154 fatalities.
Nejc Bezak, Panos Panagos, Leonidas Liakos, and Matjaž Mikoš
Nat. Hazards Earth Syst. Sci., 23, 3885–3893, https://doi.org/10.5194/nhess-23-3885-2023, https://doi.org/10.5194/nhess-23-3885-2023, 2023
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Extreme flooding occurred in Slovenia in August 2023. This brief communication examines the main causes, mechanisms and effects of this event. The flood disaster of August 2023 can be described as relatively extreme and was probably the most extreme flood event in Slovenia in recent decades. The economic damage was large and could amount to well over 5 % of Slovenia's annual gross domestic product; the event also claimed three lives.
Ana Paez-Trujilo, Jeffer Cañon, Beatriz Hernandez, Gerald Corzo, and Dimitri Solomatine
Nat. Hazards Earth Syst. Sci., 23, 3863–3883, https://doi.org/10.5194/nhess-23-3863-2023, https://doi.org/10.5194/nhess-23-3863-2023, 2023
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This study uses a machine learning technique, the multivariate regression tree approach, to assess the hydroclimatic characteristics that govern agricultural and hydrological drought severity. The results show that the employed technique successfully identified the primary drivers of droughts and their critical thresholds. In addition, it provides relevant information to identify the areas most vulnerable to droughts and design strategies and interventions for drought management.
Bouchra Zellou, Nabil El Moçayd, and El Houcine Bergou
Nat. Hazards Earth Syst. Sci., 23, 3543–3583, https://doi.org/10.5194/nhess-23-3543-2023, https://doi.org/10.5194/nhess-23-3543-2023, 2023
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In this study, we underscore the critical importance of strengthening drought prediction capabilities in the Mediterranean region. We present an in-depth evaluation of current drought forecasting approaches, encompassing statistical, dynamical, and hybrid statistical–dynamical models, and highlight unexplored research opportunities. Additionally, we suggest viable directions to enhance drought prediction and early warning systems within the area.
Francisco Rodrigues do Amaral, Nicolas Gratiot, Thierry Pellarin, and Tran Anh Tu
Nat. Hazards Earth Syst. Sci., 23, 3379–3405, https://doi.org/10.5194/nhess-23-3379-2023, https://doi.org/10.5194/nhess-23-3379-2023, 2023
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We propose an in-depth analysis of typhoon-induced compound flood drivers in the megacity of Ho Chi Minh, Vietnam. We use in situ and satellite measurements throughout the event to form a holistic overview of its impact. No evidence of storm surge was found, and peak precipitation presents a 16 h time lag to peak river discharge, which evacuates only 1.5 % of available water. The astronomical tide controls the river level even during the extreme event, and it is the main urban flood driver.
Juliette Godet, Olivier Payrastre, Pierre Javelle, and François Bouttier
Nat. Hazards Earth Syst. Sci., 23, 3355–3377, https://doi.org/10.5194/nhess-23-3355-2023, https://doi.org/10.5194/nhess-23-3355-2023, 2023
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This article results from a master's research project which was part of a natural hazards programme developed by the French Ministry of Ecological Transition. The objective of this work was to investigate a possible way to improve the operational flash flood warning service by adding rainfall forecasts upstream of the forecasting chain. The results showed that the tested forecast product, which is new and experimental, has a real added value compared to other classical forecast products.
Florian Roth, Bernhard Bauer-Marschallinger, Mark Edwin Tupas, Christoph Reimer, Peter Salamon, and Wolfgang Wagner
Nat. Hazards Earth Syst. Sci., 23, 3305–3317, https://doi.org/10.5194/nhess-23-3305-2023, https://doi.org/10.5194/nhess-23-3305-2023, 2023
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In August and September 2022, millions of people were impacted by a severe flood event in Pakistan. Since many roads and other infrastructure were destroyed, satellite data were the only way of providing large-scale information on the flood's impact. Based on the flood mapping algorithm developed at Technische Universität Wien (TU Wien), we mapped an area of 30 492 km2 that was flooded at least once during the study's time period. This affected area matches about the total area of Belgium.
Clément Houdard, Adrien Poupardin, Philippe Sergent, Abdelkrim Bennabi, and Jena Jeong
Nat. Hazards Earth Syst. Sci., 23, 3111–3124, https://doi.org/10.5194/nhess-23-3111-2023, https://doi.org/10.5194/nhess-23-3111-2023, 2023
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We developed a system able to to predict, knowing the appropriate characteristics of the flood defense structure and sea state, the return periods of potentially dangerous events as well as a ranking of parameters by order of uncertainty.
The model is a combination of statistical and empirical methods that have been applied to a Mediterranean earthen dike. This shows that the most important characteristics of the dyke are its geometrical features, such as its height and slope angles.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2023-152, https://doi.org/10.5194/nhess-2023-152, 2023
Revised manuscript accepted for NHESS
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Machine learning (ML) models have growingly received attention for predicting flood events. However, there has been concerns about the transferability of these models (their capability in predicting out-of-sample events). Here, we showed that ML models can be transferable for hindcasting maximum river flood depths across major events (Hurricanes Ida, Isaias, Sandy, and Irene) in coastal watersheds when informed by the spatial distribution of pertinent features and underlying physical processes.
Lisa Köhler, Torsten Masson, Sabrina Köhler, and Christian Kuhlicke
Nat. Hazards Earth Syst. Sci., 23, 2787–2806, https://doi.org/10.5194/nhess-23-2787-2023, https://doi.org/10.5194/nhess-23-2787-2023, 2023
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We analyzed the impact of flood experience on adaptive behavior and self-reported resilience. The outcomes draw a paradoxical picture: the most experienced people are the most adapted but the least resilient. We find evidence for non-linear relationships between the number of floods experienced and resilience. We contribute to existing knowledge by focusing specifically on the number of floods experienced and extending the rare scientific literature on the influence of experience on resilience.
Helen Hooker, Sarah L. Dance, David C. Mason, John Bevington, and Kay Shelton
Nat. Hazards Earth Syst. Sci., 23, 2769–2785, https://doi.org/10.5194/nhess-23-2769-2023, https://doi.org/10.5194/nhess-23-2769-2023, 2023
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Ensemble forecasts of flood inundation produce maps indicating the probability of flooding. A new approach is presented to evaluate the spatial performance of an ensemble flood map forecast by comparison against remotely observed flooding extents. This is important for understanding forecast uncertainties and improving flood forecasting systems.
Betina I. Guido, Ioana Popescu, Vidya Samadi, and Biswa Bhattacharya
Nat. Hazards Earth Syst. Sci., 23, 2663–2681, https://doi.org/10.5194/nhess-23-2663-2023, https://doi.org/10.5194/nhess-23-2663-2023, 2023
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We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood mitigation across the Little Pee Dee and Lumber River watershed, the Carolinas, US. This area is strongly affected by climatic disasters, which are expected to increase due to climate change and urbanization, so exploring an NBS approach is crucial for adapting to future alterations. Our research found that NBSs can have visible effects on the reduction in hurricane-driven flooding.
Maliko Tanguy, Michael Eastman, Eugene Magee, Lucy J. Barker, Thomas Chitson, Chaiwat Ekkawatpanit, Daniel Goodwin, Jamie Hannaford, Ian Holman, Liwa Pardthaisong, Simon Parry, Dolores Rey Vicario, and Supattra Visessri
Nat. Hazards Earth Syst. Sci., 23, 2419–2441, https://doi.org/10.5194/nhess-23-2419-2023, https://doi.org/10.5194/nhess-23-2419-2023, 2023
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Droughts in Thailand are becoming more severe due to climate change. Understanding the link between drought impacts on the ground and drought indicators used in drought monitoring systems can help increase a country's preparedness and resilience to drought. With a focus on agricultural droughts, we derive crop- and region-specific indicator-to-impact links that can form the basis of targeted mitigation actions and an improved drought monitoring and early warning system in Thailand.
Leon Scheiber, Mazen Hoballah Jalloul, Christian Jordan, Jan Visscher, Hong Quan Nguyen, and Torsten Schlurmann
Nat. Hazards Earth Syst. Sci., 23, 2313–2332, https://doi.org/10.5194/nhess-23-2313-2023, https://doi.org/10.5194/nhess-23-2313-2023, 2023
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Numerical models are increasingly important for assessing urban flooding, yet reliable input data are oftentimes hard to obtain. Taking Ho Chi Minh City as an example, this paper explores the usability and reliability of open-access data to produce preliminary risk maps that provide first insights into potential flooding hotspots. As a key novelty, a normalized flood severity index is presented which combines flood depth and duration to enhance the interpretation of hydro-numerical results.
Claudia Herbert and Petra Döll
Nat. Hazards Earth Syst. Sci., 23, 2111–2131, https://doi.org/10.5194/nhess-23-2111-2023, https://doi.org/10.5194/nhess-23-2111-2023, 2023
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This paper presents a new method for selecting streamflow drought hazard indicators for monitoring drought hazard for human water supply and river ecosystems in large-scale drought early warning systems. Indicators are classified by their inherent assumptions about the habituation of people and ecosystems to the streamflow regime and their level of drought characterization, namely drought magnitude (water deficit at a certain point in time) and severity (cumulated magnitude since drought onset).
Maryse Charpentier-Noyer, Daniela Peredo, Axelle Fleury, Hugo Marchal, François Bouttier, Eric Gaume, Pierre Nicolle, Olivier Payrastre, and Maria-Helena Ramos
Nat. Hazards Earth Syst. Sci., 23, 2001–2029, https://doi.org/10.5194/nhess-23-2001-2023, https://doi.org/10.5194/nhess-23-2001-2023, 2023
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This paper proposes a methodological framework designed for event-based evaluation in the context of an intense flash-flood event. The evaluation adopts the point of view of end users, with a focus on the anticipation of exceedances of discharge thresholds. With a study of rainfall forecasts, a discharge evaluation and a detailed look at the forecast hydrographs, the evaluation framework should help in drawing robust conclusions about the usefulness of new rainfall ensemble forecasts.
Min Li, Mingfeng Zhang, Runxiang Cao, Yidi Sun, and Xiyuan Deng
Nat. Hazards Earth Syst. Sci., 23, 1453–1464, https://doi.org/10.5194/nhess-23-1453-2023, https://doi.org/10.5194/nhess-23-1453-2023, 2023
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It is an important disaster reduction strategy to forecast hydrological drought. In order to analyse the impact of human activities on hydrological drought, we constructed the human activity factor based on the method of restoration. With the increase of human index (HI) value, hydrological droughts tend to transition to more severe droughts. The conditional distribution model involving of human activity factor can further improve the forecasting accuracy of drought in the Luanhe River basin.
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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