Articles | Volume 20, issue 12
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, 2020
https://doi.org/10.5194/nhess-20-3485-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Nat. Hazards Earth Syst. Sci., 20, 3485–3500, 2020
https://doi.org/10.5194/nhess-20-3485-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article 17 Dec 2020
Research article | 17 Dec 2020
Dynamic maps of human exposure to floods based on mobile phone data
Matteo Balistrocchi et al.
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Paolo Colosio, Marco Tedesco, Roberto Ranzi, and Xavier Fettweis
The Cryosphere, 15, 2623–2646, https://doi.org/10.5194/tc-15-2623-2021, https://doi.org/10.5194/tc-15-2623-2021, 2021
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We use a new satellite dataset to study the spatiotemporal evolution of surface melting over Greenland at an enhanced resolution of 3.125 km. Using meteorological data and the MAR model, we observe that a dynamic algorithm can best detect surface melting. We found that the melting season is elongating, the melt extent is increasing and that high-resolution data better describe the spatiotemporal evolution of the melting season, which is crucial to improve estimates of sea level rise.
Alice Crespi, Michele Brunetti, Maurizio Maugeri, Roberto Ranzi, and Massimo Tomirotti
Adv. Sci. Res., 15, 173–181, https://doi.org/10.5194/asr-15-173-2018, https://doi.org/10.5194/asr-15-173-2018, 2018
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The gridded dataset of 1845–2016 monthly precipitation series over the upper Adda river basin is presented. It allows to study the evolution of the precipitation regime over the region and to reconstruct extreme past events. The areal 1845–2016 annual precipitation series over the basin is in overall agreement with annual runoff. While the precipitation series shows no significant trend, a significant decrease is pointed out for runoff, probably driven by both natural and anthropic causes.
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Hydrological Hazards
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Integrated mapping of water-related disasters using the analytical hierarchy process under land use change and climate change issues in Laos
Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly
The uncertainty of flood frequency analyses in hydrodynamic model simulations
Flood risk assessment of the European road network
The impact of hydrological model structure on the simulation of extreme runoff events
Hydrometeorological analysis and forecasting of a 3 d flash-flood-triggering desert rainstorm
Land subsidence due to groundwater pumping: hazard probability assessment through the combination of Bayesian model and fuzzy set theory
Quantification of continuous flood hazard using random forest classification and flood insurance claims at large spatial scales: a pilot study in southeast Texas
Assessing Chinese flood protection and its social divergence
Typhoon rainstorm simulations with radar data assimilation on the southeast coast of China
Leveraging multi-model season-ahead streamflow forecasts to trigger advanced flood preparedness
Assessment of centennial (1918–2019) drought features in the Campania region by historical in situ measurements
Simulating historical flood events at the continental scale: observational validation of a large-scale hydrodynamic model
A dynamic bidirectional coupled surface flow model for flood inundation simulation
A revision of the Combined Drought Indicator (CDI) used in the European Drought Observatory (EDO)
Assessing local impacts of the A.D. 1700 Cascadia earthquake and tsunami using tree ring growth histories: A case study in South Beach, Oregon, U.S.A.
Drought propagation and its impact on groundwater hydrology of wetlands: a case study on the Doode Bemde nature reserve (Belgium)
Modelling the Brumadinho tailings dam failure, the subsequent loss of life and how it could have been reduced
Assessment of probability distributions and analysis of the minimum storage draft rate in the equatorial region
Downsizing parameter ensembles for simulations of rare floods
What controls the coarse sediment yield to a Mediterranean delta? The case of the Llobregat River (NE Iberian Peninsula)
Open check dams and large wood: head losses and release conditions
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Comparison of estimates of global flood models for flood hazard and exposed gross domestic product: a China case study
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A multidisciplinary drought catalogue for southwestern Germany dating back to 1801
Simulation of extreme rainfall and streamflow events in small Mediterranean watersheds with a one-way-coupled atmospheric–hydrologic modelling system
Annual flood damage influenced by El Niño in the Kan River basin, Iran
Multivariate statistical modelling of the drivers of compound flood events in south Florida
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A risk-based network analysis of distributed in-stream leaky barriers for flood risk management
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Hydrogeomorphological analysis and modelling for a comprehensive understanding of flash-flood damage processes: the 9 October 2018 event in northeastern Mallorca
Hydrological impacts of climate change on small ungauged catchments – results from a global climate model–regional climate model–hydrologic model chain
Evaluating the efficacy of bivariate extreme modelling approaches for multi-hazard scenarios
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The role of spatial dependence for large-scale flood risk estimation
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Ensemble flood simulation for a small dam catchment in Japan using nonhydrostatic model rainfalls – Part 2: Flood forecasting using 1600-member 4D-EnVar-predicted rainfalls
Space-time clustering of climate extremes amplify global climate impacts, leading to fat-tailed risk
Tigstu T. Dullo, George K. Darkwah, Sudershan Gangrade, Mario Morales-Hernández, M. Bulbul Sharif, Alfred J. Kalyanapu, Shih-Chieh Kao, Sheikh Ghafoor, and Moetasim Ashfaq
Nat. Hazards Earth Syst. Sci., 21, 1739–1757, https://doi.org/10.5194/nhess-21-1739-2021, https://doi.org/10.5194/nhess-21-1739-2021, 2021
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We studied the effect of potential future climate change on floods, flood protection, and electricity infrastructure in the Conasauga River watershed in the US using ensemble hydrodynamic modeling. We used a GPU-accelerated Two-dimensional Runoff Inundation Toolkit for Operational Needs (TRITON) hydrodynamic model to simulate floods. Overall, this study demonstrates how a fast hydrodynamic model can enhance flood frequency maps and vulnerability assessment under changing climatic conditions.
Sengphrachanh Phakonkham, So Kazama, and Daisuke Komori
Nat. Hazards Earth Syst. Sci., 21, 1551–1567, https://doi.org/10.5194/nhess-21-1551-2021, https://doi.org/10.5194/nhess-21-1551-2021, 2021
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The main objective of this study was to propose a new approach to integrating hazard maps to detect hazardous areas on a national scale, for which area-limited data are available. The analytical hierarchy process (AHP) was used as a tool to combine the different hazard maps into an integrated hazard map. The results from integrated hazard maps can identify dangerous areas from both individual and integrated hazards.
Eklavyya Popat and Petra Döll
Nat. Hazards Earth Syst. Sci., 21, 1337–1354, https://doi.org/10.5194/nhess-21-1337-2021, https://doi.org/10.5194/nhess-21-1337-2021, 2021
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Two drought hazard indices are presented that combine drought deficit and anomaly aspects: one for soil moisture drought (SMDAI) where we simplified the DSI and the other for streamflow drought (QDAI), which is to our knowledge the first ever deficit anomaly drought index including surface water demand. Both indices are tested at the global scale with WaterGAP 2.2d outputs, providing more differentiated spatial and temporal patterns distinguishing the actual degree of respective drought hazard.
Xudong Zhou, Wenchao Ma, Wataru Echizenya, and Dai Yamazaki
Nat. Hazards Earth Syst. Sci., 21, 1071–1085, https://doi.org/10.5194/nhess-21-1071-2021, https://doi.org/10.5194/nhess-21-1071-2021, 2021
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This article assesses different uncertainties in the analysis of flood risk and found the runoff generated before the river routing is the primary uncertainty source. This calls for attention to be focused on selecting an appropriate runoff for the flood analysis. The uncertainties are reflected in the flood water depth, inundation area and the exposure of the population and economy to the floods.
Kees C. H. van Ginkel, Francesco Dottori, Lorenzo Alfieri, Luc Feyen, and Elco E. Koks
Nat. Hazards Earth Syst. Sci., 21, 1011–1027, https://doi.org/10.5194/nhess-21-1011-2021, https://doi.org/10.5194/nhess-21-1011-2021, 2021
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This study presents a state-of-the-art approach to assess flood damage for each unique road segment in Europe. We find a mean total flood risk of EUR 230 million per year for all individual road segments combined. We identify flood hotspots in the Alps, along the Sava River, and on the Scandinavian Peninsula. To achieve this, we propose a new set of damage curves for roads and challenge the community to validate and improve these. Analysis of network effects can be easily added to our analysis.
Gijs van Kempen, Karin van der Wiel, and Lieke Anna Melsen
Nat. Hazards Earth Syst. Sci., 21, 961–976, https://doi.org/10.5194/nhess-21-961-2021, https://doi.org/10.5194/nhess-21-961-2021, 2021
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In this study, we combine climate model results with a hydrological model to investigate uncertainties in flood and drought risk. With the climate model, 2000 years of
current climatewas created. The hydrological model consisted of several building blocks that we could adapt. In this way, we could investigate the effect of these hydrological building blocks on high- and low-flow risk in four different climate zones with return periods of up to 500 years.
Yair Rinat, Francesco Marra, Moshe Armon, Asher Metzger, Yoav Levi, Pavel Khain, Elyakom Vadislavsky, Marcelo Rosensaft, and Efrat Morin
Nat. Hazards Earth Syst. Sci., 21, 917–939, https://doi.org/10.5194/nhess-21-917-2021, https://doi.org/10.5194/nhess-21-917-2021, 2021
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Flash floods are among the most devastating and lethal natural hazards worldwide. The study of such events is important as flash floods are poorly understood and documented processes, especially in deserts. A small portion of the studied basin (1 %–20 %) experienced extreme rainfall intensities resulting in local flash floods of high magnitudes. Flash floods started and reached their peak within tens of minutes. Forecasts poorly predicted the flash floods mostly due to location inaccuracy.
Huijun Li, Lin Zhu, Gaoxuan Guo, Yan Zhang, Zhenxue Dai, Xiaojuan Li, Linzhen Chang, and Pietro Teatini
Nat. Hazards Earth Syst. Sci., 21, 823–835, https://doi.org/10.5194/nhess-21-823-2021, https://doi.org/10.5194/nhess-21-823-2021, 2021
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We propose a method that integrates fuzzy set theory and a weighted Bayesian model to evaluate the hazard probability of land subsidence based on Interferometric Synthetic Aperture Radar technology. The proposed model can represent the uncertainty and ambiguity in the evaluation process, and results can be compared to traditional qualitative methods.
William Mobley, Antonia Sebastian, Russell Blessing, Wesley E. Highfield, Laura Stearns, and Samuel D. Brody
Nat. Hazards Earth Syst. Sci., 21, 807–822, https://doi.org/10.5194/nhess-21-807-2021, https://doi.org/10.5194/nhess-21-807-2021, 2021
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In southeast Texas, flood impacts are exacerbated by increases in impervious surfaces, human inaction, outdated FEMA-defined floodplains and modeling assumptions, and changing environmental conditions. The current flood maps are inadequate indicators of flood risk, especially in urban areas. This study proposes a novel method to model flood hazard and impact in urban areas. Specifically, we used novel flood risk modeling techniques to produce annualized flood hazard maps.
Dan Wang, Paolo Scussolini, and Shiqiang Du
Nat. Hazards Earth Syst. Sci., 21, 743–755, https://doi.org/10.5194/nhess-21-743-2021, https://doi.org/10.5194/nhess-21-743-2021, 2021
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Flood protection level (FPL) is vital for risk analysis and management but scarce in realty particularly for developing countries. This paper develops a policy-based FPL dataset for China and validates it using local FPL designs. The FPLs are much higher than that in a global database, suggesting Chinese flood risk could be lower with the policy-required FPLs. Moreover, the FPLs are lower for western China and vulnerable people, implying a spatial and social divergence of the FPLs.
Jiyang Tian, Ronghua Liu, Liuqian Ding, Liang Guo, and Bingyu Zhang
Nat. Hazards Earth Syst. Sci., 21, 723–742, https://doi.org/10.5194/nhess-21-723-2021, https://doi.org/10.5194/nhess-21-723-2021, 2021
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A typhoon always comes with heavy rainfall which leads to great loss. The aim of this study is to explore the reasonable use of Doppler radar data assimilation to correct the initial and lateral boundary conditions of the numerical weather prediction (NWP) systems for typhoon rainstorm forecasts at catchment scale. The results show that assimilating radial velocity at a time interval of 1 h can significantly improve the rainfall simulations and outperform the other assimilation modes.
Colin Keating, Donghoon Lee, Juan Bazo, and Paul Block
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-25, https://doi.org/10.5194/nhess-2021-25, 2021
Revised manuscript accepted for NHESS
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Disaster planning has historically underallocated resources for flood preparedness but evidence supports reduced vulnerability via early actions. We evaluate the ability of multiple season-ahead streamflow prediction models to appropriately trigger early actions for the flood-prone Marañón River and Piura River in Peru. Our findings suggest that locally-tailored statistical models may offer improved performance compared to operational physically-based global models in low-data environments.
Antonia Longobardi, Ouafik Boulariah, and Paolo Villani
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2021-41, https://doi.org/10.5194/nhess-2021-41, 2021
Revised manuscript accepted for NHESS
Oliver E. J. Wing, Andrew M. Smith, Michael L. Marston, Jeremy R. Porter, Mike F. Amodeo, Christopher C. Sampson, and Paul D. Bates
Nat. Hazards Earth Syst. Sci., 21, 559–575, https://doi.org/10.5194/nhess-21-559-2021, https://doi.org/10.5194/nhess-21-559-2021, 2021
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Global flood models are difficult to validate. They generally output theoretical flood events of a given probability rather than an observed event that they can be tested against. Here, we adapt a US-wide flood model to enable the rapid simulation of historical flood events in order to more robustly understand model biases. For 35 flood events, we highlight the challenges of model validation amidst observational data errors yet evidence the increasing skill of large-scale models.
Chunbo Jiang, Qi Zhou, Wangyang Yu, Chen Yang, and Binliang Lin
Nat. Hazards Earth Syst. Sci., 21, 497–515, https://doi.org/10.5194/nhess-21-497-2021, https://doi.org/10.5194/nhess-21-497-2021, 2021
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We proposed a new dynamic coupling model for flood simulation and prediction. The model can dynamically alter the coupling boundary position based on the characteristic theory to determine the non-inundation and inundation regions, taking into account both mass and momentum exchange. Then the model was validated by several classic numerical test cases as well as experiment data and implemented in a real study case. Results show its capability for flood simulation and risk assessments.
Carmelo Cammalleri, Carolina Arias-Muñoz, Paulo Barbosa, Alfred de Jager, Diego Magni, Dario Masante, Marco Mazzeschi, Niall McCormick, Gustavo Naumann, Jonathan Spinoni, and Jürgen Vogt
Nat. Hazards Earth Syst. Sci., 21, 481–495, https://doi.org/10.5194/nhess-21-481-2021, https://doi.org/10.5194/nhess-21-481-2021, 2021
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Building on almost ten years of expertise and operational application of the Combined Drought Indicator (CDI) for the monitoring of agricultural droughts in Europe within the European Commission's European Drought Observatory (EDO), this paper proposes a revised version of the index. This paper shows that the proposed revised CDI reliably reproduces the evolution of major droughts, outperforming the current version of the indicator, especially for long-lasting events.
Robert P. Dziak, Bryan A. Black, Yong Wei, and Susan G. Merle
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-427, https://doi.org/10.5194/nhess-2020-427, 2021
Revised manuscript accepted for NHESS
Buruk Kitachew Wossenyeleh, Kaleb Asnake Worku, Boud Verbeiren, and Marijke Huysmans
Nat. Hazards Earth Syst. Sci., 21, 39–51, https://doi.org/10.5194/nhess-21-39-2021, https://doi.org/10.5194/nhess-21-39-2021, 2021
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Droughts are mainly caused by a reduction of precipitation, and they affect both surface and groundwater resources. Drought propagates through the hydrological cycle and may impact vulnerable ecosystems. We investigated drought propagation in the hydrological cycle, focusing on assessing its impact on a groundwater-fed wetland ecosystem in the Doode Bemde wetland in central Belgium. We used a method combining meteorological drought indices, water balance models and groundwater models.
Darren Lumbroso, Mark Davison, Richard Body, and Gregor Petkovšek
Nat. Hazards Earth Syst. Sci., 21, 21–37, https://doi.org/10.5194/nhess-21-21-2021, https://doi.org/10.5194/nhess-21-21-2021, 2021
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A tailings dam is an earth embankment used to store the waste from mines, known as tailings. In 2019, the Brumadinho tailings dam in Brazil failed, releasing a mudflow which killed ~ 300 people. This paper details the use of an agent-based model to estimate the risk to people downstream of this dam. The agent-based model represents each individual person. The modelling indicated that if a warning had been issued as the dam failed, the number of fatalities could have been reduced.
Hasrul Hazman Hasan, Siti Fatin Mohd Razali, Nur Shazwani Muhammad, and Firdaus Mohamad Hamzah
Nat. Hazards Earth Syst. Sci., 21, 1–19, https://doi.org/10.5194/nhess-21-1-2021, https://doi.org/10.5194/nhess-21-1-2021, 2021
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This study aims to understand the concept of low-flow drought characteristics and the predictive significance of river storage draft rates in managing sustainable water catchment. This study consists of four types of analyses: streamflow trend analysis, low-flow frequency analysis, determination of the minimum storage draft rates and hydrological-drought characteristics. The results are useful for developing measures to maintain flow variability and can be used to develop water policies.
Anna E. Sikorska-Senoner, Bettina Schaefli, and Jan Seibert
Nat. Hazards Earth Syst. Sci., 20, 3521–3549, https://doi.org/10.5194/nhess-20-3521-2020, https://doi.org/10.5194/nhess-20-3521-2020, 2020
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This work proposes methods for reducing the computational requirements of hydrological simulations for the estimation of very rare floods that occur on average less than once in 1000 years. These methods enable the analysis of long streamflow time series (here for example 10 000 years) at low computational costs and with modelling uncertainty. They are to be used within continuous simulation frameworks with long input time series and are readily transferable to similar simulation tasks.
Juan P. Martín-Vide, Arnau Prats-Puntí, and Carles Ferrer-Boix
Nat. Hazards Earth Syst. Sci., 20, 3315–3331, https://doi.org/10.5194/nhess-20-3315-2020, https://doi.org/10.5194/nhess-20-3315-2020, 2020
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An alluvial Mediterranean river changed its riverine and deltaic landscape. The delta has been heavily retreating (up to 800 m) for more than a century. We focus on the river, channelized in the last 50 years, trying to link its sandy sediment yield to the delta evolution. Sediment availability in the last 30 km of the river channel is deemed responsible for the decrease in the sediment yield to the delta. Sediment supply reduction to the coast jeopardizes the future of the delta and beaches.
Guillaume Piton, Toshiyuki Horiguchi, Lise Marchal, and Stéphane Lambert
Nat. Hazards Earth Syst. Sci., 20, 3293–3314, https://doi.org/10.5194/nhess-20-3293-2020, https://doi.org/10.5194/nhess-20-3293-2020, 2020
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Open check dams are flood protection structures trapping sediment and large wood. Large wood obstructs openings of dams, thus increasing flow levels. If flow levels become higher than the dam crest, the trapped large wood may overtop the structure and be suddenly released downstream, which may also eventually obstruct downstream bridges. This paper is based on experiments on small-scale models. It shows how to compute the increase in flow level and conditions leading to sudden overtopping.
María Teresa Contreras, Jorge Gironás, and Cristián Escauriaza
Nat. Hazards Earth Syst. Sci., 20, 3261–3277, https://doi.org/10.5194/nhess-20-3261-2020, https://doi.org/10.5194/nhess-20-3261-2020, 2020
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The prediction of multiple scenarios of flood hazard in mountain regions is typically based on expensive high-resolution models that simulate the flood propagation using significant computational resources. In this investigation we develop a surrogate model that provides a rapid evaluation of the flood hazard using a statistical approach and precomputed scenarios. This surrogate model is an advanced tool that can be used for early warning systems and to help decision makers and city planners.
Jerom P. M. Aerts, Steffi Uhlemann-Elmer, Dirk Eilander, and Philip J. Ward
Nat. Hazards Earth Syst. Sci., 20, 3245–3260, https://doi.org/10.5194/nhess-20-3245-2020, https://doi.org/10.5194/nhess-20-3245-2020, 2020
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We compare and analyse flood hazard maps from eight global flood models that represent the current state of the global flood modelling community. We apply our comparison to China as a case study, and for the first time, we include industry models, pluvial flooding, and flood protection standards. We find substantial variability between the flood hazard maps in the modelled inundated area and exposed gross domestic product (GDP) across multiple return periods and in expected annual exposed GDP.
David J. Peres, Alfonso Senatore, Paola Nanni, Antonino Cancelliere, Giuseppe Mendicino, and Brunella Bonaccorso
Nat. Hazards Earth Syst. Sci., 20, 3057–3082, https://doi.org/10.5194/nhess-20-3057-2020, https://doi.org/10.5194/nhess-20-3057-2020, 2020
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Regional climate models (RCMs) are commonly used for high-resolution assessment of climate change impacts. This research assesses the reliability of several RCMs in a Mediterranean area (southern Italy), comparing historic climate and drought characteristics with
high-density and high-quality ground-based observational datasets. We propose a general methodology and identify the more skilful models able to reproduce precipitation and temperature variability as well as drought characteristics.
Mathilde Erfurt, Georgios Skiadaresis, Erik Tijdeman, Veit Blauhut, Jürgen Bauhus, Rüdiger Glaser, Julia Schwarz, Willy Tegel, and Kerstin Stahl
Nat. Hazards Earth Syst. Sci., 20, 2979–2995, https://doi.org/10.5194/nhess-20-2979-2020, https://doi.org/10.5194/nhess-20-2979-2020, 2020
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Droughts are multifaceted hazards with widespread negative consequences for the environment and society. This study explores different perspectives on drought and determines the added value of multidisciplinary datasets for a comprehensive understanding of past drought events in southwestern Germany. A long-term evaluation of drought frequency since 1801 revealed that events occurred in all decades, but a particular clustering was found in the mid-19th century and the most recent decade.
Corrado Camera, Adriana Bruggeman, George Zittis, Ioannis Sofokleous, and Joël Arnault
Nat. Hazards Earth Syst. Sci., 20, 2791–2810, https://doi.org/10.5194/nhess-20-2791-2020, https://doi.org/10.5194/nhess-20-2791-2020, 2020
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Can numerical models simulate intense rainfall events and consequent streamflow in a mountainous area with small watersheds well? We applied state-of-the-art one-way-coupled atmospheric–hydrologic models and we found that, despite rainfall events simulated with low errors, large discrepancies between the observed and simulated streamflow were observed. Shifts in time and space of the modelled rainfall peak are the main reason. Still, the models can be applied for climate change impact studies.
Farhad Hooshyaripor, Sanaz Faraji-Ashkavar, Farshad Koohyian, Qiuhong Tang, and Roohollah Noori
Nat. Hazards Earth Syst. Sci., 20, 2739–2751, https://doi.org/10.5194/nhess-20-2739-2020, https://doi.org/10.5194/nhess-20-2739-2020, 2020
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The effect of El Niño on flood damage was investigated. The methodology was based on the calculation of increasing rainfall amount during El Niño events compared to normal conditions. With the southern oscillation index equal to −1.0 as the threshold of El Niño, the annual percentage of increased rainfall is 12.2 %. The annual change factor may not necessarily be transferred to extreme values. Nonetheless, the change factor was applied for generating simulated storms of different return periods.
Robert Jane, Luis Cadavid, Jayantha Obeysekera, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 20, 2681–2699, https://doi.org/10.5194/nhess-20-2681-2020, https://doi.org/10.5194/nhess-20-2681-2020, 2020
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Full dependence is assumed between drivers in flood protection assessments of coastal water control structures in south Florida. A 2-D analysis of rainfall and coastal water level showed that the magnitude of the conservative assumption in the original design is highly sensitive to the regional sea level rise projection considered. The vine copula and HT04 model outperformed five higher-dimensional copulas in capturing the dependence between rainfall, coastal water level, and groundwater level.
Punit K. Bhola, Jorge Leandro, and Markus Disse
Nat. Hazards Earth Syst. Sci., 20, 2647–2663, https://doi.org/10.5194/nhess-20-2647-2020, https://doi.org/10.5194/nhess-20-2647-2020, 2020
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In operational flood risk management, a single best model is used to assess the impact of flooding, which might misrepresent uncertainties in the modelling process. We have used quantified uncertainties in flood forecasting to generate flood hazard maps that were combined based on different exceedance probability scenarios with the purpose to differentiate impacts of flooding and to account for uncertainties in flood hazard maps that can be used by decision makers.
El Mahdi El Khalki, Yves Tramblay, Christian Massari, Luca Brocca, Vincent Simonneaux, Simon Gascoin, and Mohamed El Mehdi Saidi
Nat. Hazards Earth Syst. Sci., 20, 2591–2607, https://doi.org/10.5194/nhess-20-2591-2020, https://doi.org/10.5194/nhess-20-2591-2020, 2020
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In North Africa, the vulnerability to floods is high, and there is a need to improve the flood-forecasting systems. Remote-sensing and reanalysis data can palliate the lack of in situ measurements, in particular for soil moisture, which is a crucial parameter to consider when modeling floods. In this study we provide an evaluation of recent globally available soil moisture products for flood modeling in Morocco.
Barry Hankin, Ian Hewitt, Graham Sander, Federico Danieli, Giuseppe Formetta, Alissa Kamilova, Ann Kretzschmar, Kris Kiradjiev, Clint Wong, Sam Pegler, and Rob Lamb
Nat. Hazards Earth Syst. Sci., 20, 2567–2584, https://doi.org/10.5194/nhess-20-2567-2020, https://doi.org/10.5194/nhess-20-2567-2020, 2020
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With growing support for nature-based solutions to reduce flooding by local communities, government authorities and international organisations, it is still important to improve how we assess risk reduction. We demonstrate an efficient, simplified 1D network model that allows us to explore the
whole-systemresponse of numerous leaky barriers placed in different stream networks, whilst considering utilisation, synchronisation effects and cascade failure, and we provide advice on their siting.
Thomas O'Shea, Paul Bates, and Jeffrey Neal
Nat. Hazards Earth Syst. Sci., 20, 2281–2305, https://doi.org/10.5194/nhess-20-2281-2020, https://doi.org/10.5194/nhess-20-2281-2020, 2020
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Outlined here is a multi-disciplinary framework for analysing and evaluating the nature of vulnerability to, and capacity for, flood hazard within a complex urban society. It provides scope beyond the current, reified, descriptors of
flood riskand models the role of affected individuals within flooded areas. Using agent-based modelling coupled with the LISFLOOD-FP hydrodynamic model, potentially influential behaviours that give rise to the flood hazard system are identified and discussed.
Joan Estrany, Maurici Ruiz-Pérez, Raphael Mutzner, Josep Fortesa, Beatriz Nácher-Rodríguez, Miquel Tomàs-Burguera, Julián García-Comendador, Xavier Peña, Adolfo Calvo-Cases, and Francisco J. Vallés-Morán
Nat. Hazards Earth Syst. Sci., 20, 2195–2220, https://doi.org/10.5194/nhess-20-2195-2020, https://doi.org/10.5194/nhess-20-2195-2020, 2020
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A catastrophic flash-flood event hit the northeastern part of Mallorca in 2018, causing 13 casualties and impacting on the international opinion in one of the most important tourist resorts. The analysis of the rainfall–runoff processes illustrated an unprecedented flashy behaviour in Europe triggering the natural disaster. UAVs and hydrogeomorphological precision techniques were used as a rapid post-catastrophe decision-making tool, playing a key role during the rescue searching tasks.
Aynalem T. Tsegaw, Marie Pontoppidan, Erle Kristvik, Knut Alfredsen, and Tone M. Muthanna
Nat. Hazards Earth Syst. Sci., 20, 2133–2155, https://doi.org/10.5194/nhess-20-2133-2020, https://doi.org/10.5194/nhess-20-2133-2020, 2020
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Hydrological impacts of climate change are generally performed by following steps from global to regional climate modeling through data tailoring and hydrological modeling. Usually, the climate–hydrology chain primary focuses on medium to large catchments. To study impacts of climate change on small catchments, a high-resolution regional climate model and hydrological model are required. The results from high-resolution models help in proposing specific adaptation strategies for impacts.
Aloïs Tilloy, Bruce D. Malamud, Hugo Winter, and Amélie Joly-Laugel
Nat. Hazards Earth Syst. Sci., 20, 2091–2117, https://doi.org/10.5194/nhess-20-2091-2020, https://doi.org/10.5194/nhess-20-2091-2020, 2020
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Estimating risks induced by interacting natural hazards remains a challenge for practitioners. An approach to tackle this challenge is to use multivariate statistical models. Here we evaluate the efficacy of six models. The models are compared against synthetic data which are comparable to time series of environmental variables. We find which models are more appropriate to estimate relations between hazards in a range of cases. We highlight the benefits of this approach with two examples.
Henk-Jan van Alphen, Clemens Strehl, Fabian Vollmer, Eduard Interwies, Anasha Petersen, Stefan Görlitz, Montse Martinez Puentes, Maria Guerrero Hidalga, Elias Giannakis, Teun Spek, Marc Scheibel, Erle Kristvik, Fernanda Rocha, and Emmy Bergsma
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2020-181, https://doi.org/10.5194/nhess-2020-181, 2020
Revised manuscript accepted for NHESS
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This paper presents an approach to selecting and analysing climate change adaptation measures, using a combination of scientific analysis and stakeholder interaction. This approach was applied in six cases across Europe, concerning drought and extreme precipitation. Although the cases vary widely, the approach yielded decision relevant outcomes for the development of adaptation strategies, regarding socio-economic impacts of measures and potential barriers to implementation.
Benjamin Winter, Klaus Schneeberger, Kristian Förster, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 20, 1689–1703, https://doi.org/10.5194/nhess-20-1689-2020, https://doi.org/10.5194/nhess-20-1689-2020, 2020
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In this paper two different methods to generate spatially coherent flood events for probabilistic flood risk modelling are compared: on the one hand, a semi-conditional multi-variate dependence model applied to discharge observations and, on the other hand, a continuous hydrological modelling of synthetic meteorological fields generated by a multi-site weather generator. The results of the two approaches are compared in terms of simulated spatial patterns and overall flood risk estimates.
Heiko Apel, Mai Khiem, Nguyen Hong Quan, and To Quang Toan
Nat. Hazards Earth Syst. Sci., 20, 1609–1616, https://doi.org/10.5194/nhess-20-1609-2020, https://doi.org/10.5194/nhess-20-1609-2020, 2020
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This study deals with salinity intrusion in the Mekong Delta, a pressing issue in the third-largest river delta on Earth. It presents a simple, efficient, and cross-validated seasonal forecast model for salinity intrusion during the dry season based on logistic regression using ENSO34 or standardized streamflow indexes as predictors. The model performs exceptionally well, enabling a reliable forecast of critical salinity threshold exceedance up to 9 months prior to the dry season.
Samuel J. Sutanto, Melati van der Weert, Veit Blauhut, and Henny A. J. Van Lanen
Nat. Hazards Earth Syst. Sci., 20, 1595–1608, https://doi.org/10.5194/nhess-20-1595-2020, https://doi.org/10.5194/nhess-20-1595-2020, 2020
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Present-day drought early warning systems only provide information on drought hazard forecasts. Here, we have developed drought impact functions to forecast drought impacts up to 7 months ahead using machine learning techniques, logistic regression, and random forest. Our results show that random forest produces a higher-impact forecasting skill than logistic regression. For German county levels, drought impacts can be forecasted up to 4 months ahead using random forest.
Giuliano Di Baldassarre, Fernando Nardi, Antonio Annis, Vincent Odongo, Maria Rusca, and Salvatore Grimaldi
Nat. Hazards Earth Syst. Sci., 20, 1415–1419, https://doi.org/10.5194/nhess-20-1415-2020, https://doi.org/10.5194/nhess-20-1415-2020, 2020
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Global floodplain mapping has rapidly progressed over the past few years. Different methods have been proposed to identify areas prone to river flooding, resulting in a plethora of available products. Here we assess the potential and limitations of two main paradigms and provide guidance on the use of these global products in assessing flood risk in data-poor regions.
Shraddhanand Shukla, Kristi R. Arsenault, Abheera Hazra, Christa Peters-Lidard, Randal D. Koster, Frank Davenport, Tamuka Magadzire, Chris Funk, Sujay Kumar, Amy McNally, Augusto Getirana, Greg Husak, Ben Zaitchik, Jim Verdin, Faka Dieudonne Nsadisa, and Inbal Becker-Reshef
Nat. Hazards Earth Syst. Sci., 20, 1187–1201, https://doi.org/10.5194/nhess-20-1187-2020, https://doi.org/10.5194/nhess-20-1187-2020, 2020
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The region of southern Africa is prone to climate-driven food insecurity events, as demonstrated by the major drought event in 2015–2016. This study demonstrates that recently developed NASA Hydrological Forecasting and Analysis System-based root-zone soil moisture monitoring and forecasting products are well correlated with interannual regional crop yield, can identify below-normal crop yield events and provide skillful crop yield forecasts, and hence support early warning of food insecurity.
Dennis Wagenaar, Alex Curran, Mariano Balbi, Alok Bhardwaj, Robert Soden, Emir Hartato, Gizem Mestav Sarica, Laddaporn Ruangpan, Giuseppe Molinario, and David Lallemant
Nat. Hazards Earth Syst. Sci., 20, 1149–1161, https://doi.org/10.5194/nhess-20-1149-2020, https://doi.org/10.5194/nhess-20-1149-2020, 2020
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This invited perspective paper addresses how machine learning may change flood risk and impact assessments. It goes through different modelling components and provides an analysis of how current assessments are done without machine learning, current applications of machine learning and potential future improvements. It is based on a 2-week-long intensive collaboration among experts from around the world during the Understanding Risk Field lab on urban flooding in June 2019.
Ayse Duha Metin, Nguyen Viet Dung, Kai Schröter, Sergiy Vorogushyn, Björn Guse, Heidi Kreibich, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 20, 967–979, https://doi.org/10.5194/nhess-20-967-2020, https://doi.org/10.5194/nhess-20-967-2020, 2020
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For effective risk management, flood risk should be properly assessed. Traditionally, risk is assessed by making the assumption of invariant flow or loss probabilities (the chance that a given discharge or loss is exceeded) within the river catchment during a single flood event. However, in reality, flooding is more severe in some regions than others. This study indicates the importance of representing the spatial dependence of flood peaks and damage for risk assessments.
Isabelle Braud, Lilly-Rose Lagadec, Loïc Moulin, Blandine Chazelle, and Pascal Breil
Nat. Hazards Earth Syst. Sci., 20, 947–966, https://doi.org/10.5194/nhess-20-947-2020, https://doi.org/10.5194/nhess-20-947-2020, 2020
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A method for the evaluation of a model that maps the susceptibility of a territory to surface runoff is presented. It is based on proxy data of localized impacts related to runoff. It accounts for the hazard level, the vulnerability of the study area and possible mitigation actions taken to reduce the risk. The evaluation is made on a 80 km railway line in Normandy (north of France), where a comprehensive database of runoff-related impacts on the railway has been gathered over the 20th century.
Alexandre M. Ramos, Pedro M. Sousa, Emanuel Dutra, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 20, 877–888, https://doi.org/10.5194/nhess-20-877-2020, https://doi.org/10.5194/nhess-20-877-2020, 2020
Rubén Moratiel, Raquel Bravo, Antonio Saa, Ana M. Tarquis, and Javier Almorox
Nat. Hazards Earth Syst. Sci., 20, 859–875, https://doi.org/10.5194/nhess-20-859-2020, https://doi.org/10.5194/nhess-20-859-2020, 2020
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The estimation of ETo using temperature is particularly attractive in places where air humidity, wind speed and solar radiation data are not readily available. In this study we used, for the estimation of ETo, seven models against Penman–Monteith FAO 56 with temporal (annual and seasonal) and spatial perspective over Duero basin (Spain). The results of the tested models can be useful for adopting appropriate measures for efficient water management under the limitation of agrometeorological data.
Kenichiro Kobayashi, Le Duc, Apip, Tsutao Oizumi, and Kazuo Saito
Nat. Hazards Earth Syst. Sci., 20, 755–770, https://doi.org/10.5194/nhess-20-755-2020, https://doi.org/10.5194/nhess-20-755-2020, 2020
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The feasibility of flood forecasting with 1600 rainfall forecasts was investigated. The rainfall forecasts were obtained from an advanced data assimilation system. The high probability of flood occurrence was predicted, which is not possible by the single deterministic forecast. The necessity of emergency flood operation was shown with a long leading time. This suggests that it is worth investing in increasing numbers of meteorological ensembles to improve flood forecasting.
Luc Bonnafous and Upmanu Lall
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-405, https://doi.org/10.5194/nhess-2019-405, 2020
Revised manuscript accepted for NHESS
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Extreme climate events can cause human and economic catastrophe at the global scale. For specific sectors, such as humanitarian aid or insurance, being able to understand how (i.e. with which frequency and intensity) these events can occur simultaneously at different locations or several times in a given amount of time and hit critical assets is all-important to design contingency plans. Here we develop and indicator to study co-occurence in space and time of wet and dry extremes.
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Short summary
Flood risk is an increasing threat to urban communities and their strategical assets worldwide. Non-structural practices, such as emergency management plans, can be effective in order to decrease the flood risk in strongly urbanized areas. Mobile phone data provide reliable estimates of the spatiotemporal variability in people exposed to flooding, thus enhancing the preparedness of stakeholders involved in flood risk management. Further, practical advantages emerge with respect to crowdsourcing.
Flood risk is an increasing threat to urban communities and their strategical assets worldwide....
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