Articles | Volume 18, issue 11
https://doi.org/10.5194/nhess-18-3063-2018
© Author(s) 2018. 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-18-3063-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Nov 2018
Research article |
| 19 Nov 2018
| 19 Nov 2018
Flood depth estimation by means of high-resolution SAR images and lidar data
Department of Economics, University of Venice Ca' Foscari, Venice,
30121, Italy
Mattia Marconcini
DFD German Aerospace Center (DFD-DLR), 82234 Weßling, Germany
Pietro Ceccato
International Research Institute for Climate and Society (IRI),
Columbia University, New York, USA
Carlo Giupponi
Department of Economics, University of Venice Ca' Foscari, Venice,
30121, Italy
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Stefano Balbi, Ferdinando Villa, Vahid Mojtahed, Karin Tessa Hegetschweiler, and Carlo Giupponi
Nat. Hazards Earth Syst. Sci., 16, 1323–1337, https://doi.org/10.5194/nhess-16-1323-2016, https://doi.org/10.5194/nhess-16-1323-2016, 2016
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This study develops a novel methodology to assess flood risk to people by integrating people’s vulnerability and ability to cushion hazards through coping and adapting. The model is used to estimate the effect of improving an existing early warning system. The proposed approach extends traditional risk assessments beyond material damages, complements quantitative and semi-quantitative data with subjective and local knowledge, and improves the use of commonly available information.
J. L. Olsen, S. Miehe, P. Ceccato, and R. Fensholt
Biogeosciences, 12, 4407–4419, https://doi.org/10.5194/bg-12-4407-2015, https://doi.org/10.5194/bg-12-4407-2015, 2015
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Limitations of satellite-based normalized difference vegetation index (NDVI) for monitoring vegetation trends are investigated using observations from the Widou Thiengoly test site in northern Senegal. NDVI do not reflect the large differences found in biomass production and species composition between grazed and ungrazed plots. This is problematic for vegetation trend analysis in the context of drastically increasing numbers of Sahelian livestock in recent decades.
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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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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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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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Andrea Betterle and Peter Salamon
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Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
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Paul Voit and Maik Heistermann
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Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
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Melody Gwyneth Whitehead and Mark Stephen Bebbington
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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.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Tran Ba, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
EGUsphere, https://doi.org/10.5194/egusphere-2024-949, https://doi.org/10.5194/egusphere-2024-949, 2024
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We look at how compound flooding from the combination of river flooding and storm tide (storm surge plus 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 potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means that managers of deltas such as the Mekong can assess options for improving existing flood defences.
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.
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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Explore our paper on improving flood prediction using advanced weather models. We coupled the WRF model with WRF-Hydro and HEC-HMS to enhance accuracy. Discover how our findings contribute to adaptive atmospheric-hydrologic systems for effective flood forecasting.
Nils Poncet, Philippe Lucas-Picher, Yves Tramblay, Guillaume Thirel, Humberto Vergara, Jonathan Gourley, and Antoinette Alias
Nat. Hazards Earth Syst. Sci., 24, 1163–1183, https://doi.org/10.5194/nhess-24-1163-2024, https://doi.org/10.5194/nhess-24-1163-2024, 2024
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High-resolution convection-permitting climate models (CPMs) are now available to better simulate rainstorm events leading to flash floods. In this study, two hydrological models are compared to simulate floods in a Mediterranean basin, showing a better ability of the CPM to reproduce flood peaks compared to coarser-resolution climate models. Future projections are also different, with a projected increase for the most severe floods and a potential decrease for the most frequent events.
Wilson C. H. Chan, Nigel W. Arnell, Geoff Darch, Katie Facer-Childs, Theodore G. Shepherd, and Maliko Tanguy
Nat. Hazards Earth Syst. Sci., 24, 1065–1078, https://doi.org/10.5194/nhess-24-1065-2024, https://doi.org/10.5194/nhess-24-1065-2024, 2024
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The most recent drought in the UK was declared in summer 2022. We pooled a large sample of plausible winters from seasonal hindcasts and grouped them into four clusters based on their atmospheric circulation configurations. Drought storylines representative of what the drought could have looked like if winter 2022/23 resembled each winter circulation storyline were created to explore counterfactuals of how bad the 2022 drought could have been over winter 2022/23 and beyond.
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024, https://doi.org/10.5194/nhess-24-873-2024, 2024
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The risk of extreme rainfall events causing floods is likely increasing with climate change. Flash floods, which follow immediately after extreme rainfall, are particularly difficult to forecast and assess. We develop a decision rule for flash flood classification with data on all incidents between 2001 and 2018 in Jamaica with the statistical copula method. This decision rule tells us for any rainfall event of a certain duration how intense it has to be to likely trigger a flash flood.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
EGUsphere, https://doi.org/10.5194/egusphere-2023-3094, https://doi.org/10.5194/egusphere-2023-3094, 2024
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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
Amadio, M., Mysiak, J., Carrera, L., and Koks, E.: Improving flood damage
assessment models in Italy, Nat. Hazards, 82, 1–14, https://doi.org/10.1007/s11069-016-2286-0, 2016.
ArcPy: “What is ArcPy?”,
http://pro.arcgis.com/en/pro-app/arcpy/get-started/what-is-arcpy-.htm,
last access: 15 November 2018.
ARPAV: Report of the “Agenzia Regionale Per la Prevenzione e Protezione
Ambientale del Veneto” (ARPAV), Scheda Evento “Pluvio”, (Figura 2), Veneto
Region, 1–16, 2010.
Brown, K. M. and Brownett, J. M.: Progress in operational flood mapping using
satellite synthetic aperture radar (SAR) and airborne light detection and
ranging (LiDAR) data, 40, 196–214, https://doi.org/10.1177/0309133316633570, 2016.
Brisco, B., Schmitt, A., Murnaghan, K., Kaya, S., and Roth, A.: SAR
polarimetric change detection for flooded vegetation, Int. J. Digit. Earth,
6, 1–12, 2011.
Carrera, L., Standardi, G., Bosello, F., and Mysiak, J.: Assessing direct
and indirect economic impacts of a flood event through the integration of
spatial and computable general equilibrium modelling, CMCC Research,
63, 1–27, https://doi.org/10.1016/j.envsoft.2014.09.016, 2013.
Chini, M., Pulvirenti, L., and Pierdicca, N.: Analysis and interpretation of
the COSMO-SkyMed observations of the 2011 Japan tsunami, IEEE Geosci. Remote
S., 9, 467–471, https://doi.org/10.1109/LGRS.2011.2182495, 2012.
Cian, F., Marconcini, M., and Ceccato, P.: Normalized Difference Flood Index
for rapid flood mapping: Taking advantage of EO big data, Remote Sens. Environ., 209,
712–730, https://doi.org/10.1016/j.rse.2018.03.006, 2018.
Cohen, J.: Weighted kappa: Nominal scale agreement provision for scaled
disagreement or partial credit, Psychol. Bull., 70, 213–220, 1968.
Copernicus EMS: Copernicus Emergency Management Service, available at:
http://emergency.copernicus.eu/mapping/copernicus-emergency-management-service,
last access: 15 November 2018.
Cohen, S., Brakenridge, G., Kettner, A., Bates, B., Nelson, J., McDonald, R.,
Huang, Y. F., Munasinghe, D., and Zhang, J.: Estimating Floodwater Depths
from Flood Inundation Maps and Topography, J. Am. Water Resour. As., 54,
847–858, https://doi.org/10.1111/1752-1688.12609, 2018.
Cossu, R., Schoepfer, E., Bally, P., and Fusco, L.: Near real-time SAR-based
processing to support flood monitoring, J. Real-Time Image Process., 4,
205–218, 2009.
D'Alpaos, L., Brath, A., and Fioravante, V.: Relazione tecnico-scientifica
sulle cause del collasso dell' argine del fiume Secchia avvenuto il giorno 19
gennaio 2014 presso la frazione San Matteo, Report of the Emilia-Romagna
Region, 2014.
Dasgupta, A., Grimaldi, S., Ramsankaran, R. A. A. J., Pauwels, V. R. N., and
Walker, J. P.: Towards operational SAR-based flood mapping using neuro-fuzzy
texture-based approaches, Remote Sens. Environ., 215, 313–329,
https://doi.org/10.1016/j.rse.2018.06.019, 2018.
Desai, B., Maskrey, A., Peduzzi, P., De Bono, A., and Herold, C.: Making Development Sustainable: The Future of Disaster Risk Management,
Global Assessment Report on Disaster Risk Reduction, United Nations Office for Disaster Risk Reduction (UNISDR), Genève, Suisse,
2015.
European Commission (EC): Directive 2010/31/EU of the European Parliament and
of the Council, Off. J. Eur. Union, L 153/13, 18 June 2010, 288, 13–35,
2010.
Floris, M., D'Alpaos, A., De Agostini, A., Stevan, G., Tessari, G., and
Genevois, R.: A process-based model for the definition of hydrological alert
systems in landslide risk mitigation, Nat. Hazards Earth Syst. Sci., 12,
3343–3357, https://doi.org/10.5194/nhess-12-3343-2012, 2012.
Franceschetti, G. and Lunari, R.: Synthetic Aperture Radar Processing, CRC
press, Boca Raton, 2018.
Giordan, D., Notti, D., Villa, A., Zucca, F., Calò, F., Pepe, A., Dutto, F.,
Pari, P., Baldo, M., and Allasia, P.: Low cost, multiscale and multi-sensor
application for flooded area mapping, Nat. Hazards Earth Syst. Sci., 18,
1493–1516, https://doi.org/10.5194/nhess-18-1493-2018, 2018.
Giustarini, L., Hostache, R., Matgen, P., Schumann, G. J., Bates, P. D., and
Mason, D. C.: A Change Detection Approach to Flood Mapping in Urban Areas
Using TerraSAR-X, IEEE T. Geosci. Remote, 51, 2417–2430, https://doi.org/10.1109/TGRS.2012.2210901,
2013.
Giustarini, L., Vernieuwe, H., Verwaeren, J., Chini, M., Hostache, R.,
Matgen, P., Verhoest N. E. C., and De Baets, B.: Accounting for image
uncertainty in SAR-based flood mapping, Int. J. Appl. Earth Obs., 34, 70–77,
https://doi.org/10.1016/j.jag.2014.06.017, 2015.
Gupta, R. P. and Banerji, S.: Monitoring of reservoir volume using LANDSAT
data, J. Hydrol., 77, 159–170, https://doi.org/10.1016/0022-1694(85)90204-5, 1985.
Henry, J. B., Chastanet, P., Fellah, K., and Desnos, Y. L.: Envisat
multi-polarized ASAR data for flood mapping, Int. J. Remote Sens., 27, 1921–1929, https://doi.org/10.1080/01431160500486724, 2006.
Horritt, M. S., Mason, D. C., and Luckman, A. J.: Flood boundary delineation
from Synthetic Aperture Radar imagery using a statistical active contour
model, Int. J. Remote Sens., 22, 2489–2507, 2001.
Huang, C., Chen, Y., Wu, J., Chen, Z., Li, L., Liu, R., and Yu, J.:
Integration of remotely sensed inundation extent and high-precision
topographic data for mapping inundation depth, The 3rd International
Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014, Beijing, China,
1–4, https://doi.org/10.1109/Agro-Geoinformatics.2014.6910580, 2014.
Iervolino, P., Guida, R., Iodice, A., and Riccio, D.: Flooding water depth
estimation with high-resolution SAR, IEEE Trans. Geosci. Remote Sens., 53,
2295–2307, 2015.
International Charter: International Charter on Space and Major Disasters,
available at: https://www.disasterscharter.org, last access:
15 November 2018.
Long, S., Fatoyinbo, T. E., and Policelli, F.: Flood extent mapping for
Namibia using change detection and thresholding with SAR,
Environ. Res. Lett., 9, 035002, https://doi.org/10.1088/1748-9326/9/3/035002, 2014.
Martinis, S., Twele, A., and Voigt, S.: Towards operational near real-time
flood detection using a split-based automatic thresholding procedure on high
resolution TerraSAR-X data, Nat. Hazards Earth Syst. Sci., 9, 303–314,
https://doi.org/10.5194/nhess-9-303-2009, 2009.
Martinis, S., Kersten, J., and Twele, A.: A fully automated TerraSAR-X based
flood service, ISPRS J. Photogramm., 104, 203–212, https://doi.org/10.1016/j.isprsjprs.2014.07.014, 2015.
Mason, D. C., Davenport, I. J., Flather, R. A., Gurney, C., Robinson, G. J.,
and Smith, J. A.: A Sensitivity Analysis of the Waterline Method of
Constructing a Digital Elevation Model for Intertidal Areas in ERS SAR scene
of Eastern England, Estuar. Coast. Shelf S.,
53, 759–778, https://doi.org/10.1006/ecss.2000.0789, 2001.
Matgen, P., Schumann, G., Henry, J.-B., Hoffmann, L., and Pfister, L.:
Integration of SAR-derived river inundation areas, high-precision topographic
data and a river flow model toward near real-time flood management,
Int. J. Appl. Earth Obs., 9, 247–263, https://doi.org/10.1016/j.jag.2006.03.003, 2007.
Matgen, P., Giustarini, L., Chini, M., Hostache, R., Wood, M., and
Schlaffer, S.: Creating a water depth map from SAR flood extent and
topography data, Int. Geosci. Remote Se., November 2016, 7635–7638, https://doi.org/10.1109/IGARSS.2016.7730991, 2016.
Mojtahed, V., Giupponi, C., Biscaro, C., Gain, A. K., and Balbi, S.:
Integrated Assessment of Natural Hazards and Climate Change Adaptation: II,
The SERRA Methodology, 7, 1–47, 2013.
Mysiak, J., Luther, J., and Vanneuville, W.: Towards a potential European
flood impact database, EEA JRC ETC/CCA Joint Technical Paper, European
Environment Agency, Bologna, 40, 2013.
NatCatSERVICE: Annual statistics 2014, Loss events worldwide 2014, Percentage
distribution, Munich Re, Munich, Germany, 2015.
Nico, G., Pappalepore, M., Pasquariello, G., Refice, A., and Samarelli, S.:
Comparison of SAR amplitude vs. coherence flood detection methods – a GIS
application, Int. J. Remote Sens., 21, 1619–1631, https://doi.org/10.1080/014311600209931, 2000.
Oberstadler, R., Hönsch, H., and Huth, D.: Assessment of the mapping
capabilities of ERS-1 SAR data for flood mapping: A case study in Germany,
European Space Agency, (Special Publication) ESA SP,
11, 247–252, https://doi.org/10.1002/(SICI)1099-1085(199708)11:10<1415::AID-HYP532>3.0.CO;2-2, 1996.
O'Grady, D., Leblanc, M., and Gillieson, D.: Use of ENVISAT ASAR Global
Monitoring Mode to complement optical data in the mapping of rapid
broad-scale flooding in Pakistan, Hydrol. Earth Syst. Sci., 15, 3475–3494,
https://doi.org/10.5194/hess-15-3475-2011, 2011.
Pierdicca, N., Pulvirenti, L., Chini, M., Guerriero, L., and Candela, L.:
Observing floods from space: Experience gained from COSMO-SkyMed
observations, Acta Astronaut., 84, 122–133, https://doi.org/10.1016/j.actaastro.2012.10.034, 2013.
Pierdicca, N., Pulvirenti, L., and Chini, M.: Flood Mapping in Vegetated and
Urban Areas and Other Challenges: Models and Methods, in: Flood Monitoring through
Remote Sensing, edited by: Refice, A., D'Addabbo, A., and Capolongo, D.,
Springer Remote Sensing/Photogrammetry, Springer, Cham, 135–179, https://doi.org/10.1007/978-3-319-63959-8_7, 2018.
Schumann, G., Hostache, R., Puech, C., Hoffmann, L., Matgen, P.,
Pappenberger, F., and Pfister, L.: High-resolution 3-D flood information
from radar imagery for flood hazard management, IEEE T. Geosci. Remote S., 45,
1715–1725, https://doi.org/10.1109/TGRS.2006.888103, 2007.
Schumann, G., Matgen, P., Cutler, M. E. J., Black, A., Hoffmann, L., and
Pfister, L.: Comparison of remotely sensed water stages from LiDAR,
topographic contours and SRTM, ISPRS J. Photogramm., 63, 283–296, https://doi.org/10.1016/j.isprsjprs.2007.09.004, 2008.
Schumann, G. J., Neal, J. C., Mason, D. C., and Bates, P. D.: The accuracy of sequential aerial photography and SAR data for
observing urban flood dynamics. A case study of the UK summer 2007 floods,
Remote Sens. Environ., 115, 2536–2546, https://doi.org/10.1016/j.rse.2011.04.039, 2011.
Scorzini, A. R. and Frank, E.: Flood damage curves: new insights from the
2010 flood in Veneto, Italy, J. Flood Risk. Manag., 10, 381–392, 2017.
Viero, D. Pietro, D'Alpaos, A., Carniello, L., and Defina, A.: Mathematical
modeling of flooding due to river bank failure, Adv. Water Resour., 59,
82–94, https://doi.org/10.1016/j.advwatres.2013.05.011, 2013.
Viero, D. P., Peruzzo, P., Carniello, L., and Defina, A.: Integrated
mathematical modeling of hydrological and hydrodynamic response to rainfall
events in rural lowland catchments, Water Resour. Res.,
50, 5941–5957, https://doi.org/10.1002/2013WR014293, 2014.
Zollo, A. L., Rillo, V., Bucchignani, E., Montesarchio, M., and Mercogliano,
P.: Extreme temperature and precipitation events over Italy: Assessment of
high-resolution simulations with COSMO-CLM and future scenarios, Int. J.
Climatol., 36, 987–1004, 2016.
Zwenzner, H. and Voigt, S.: Improved estimation of flood parameters by
combining space based SAR data with very high resolution digital elevation
data, Hydrol. Earth Syst. Sci., 13, 567–576, https://doi.org/10.5194/hess-13-567-2009,
2009.
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