Articles | Volume 23, issue 7
https://doi.org/10.5194/nhess-23-2663-2023
© Author(s) 2023. 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-23-2663-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Jul 2023
Research article |
| 28 Jul 2023
| 28 Jul 2023
An integrated modeling approach to evaluate the impacts of nature-based solutions of flood mitigation across a small watershed in the southeast United States
Betina I. Guido
CORRESPONDING AUTHOR
Department of Hydroinformatics and Socio-Technical Innovation, IHE
Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
Ioana Popescu
Department of Hydroinformatics and Socio-Technical Innovation, IHE
Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
Vidya Samadi
Department of Agricultural Sciences, Clemson University, Clemson, SC 29634, United States of America
Biswa Bhattacharya
Department of Hydroinformatics and Socio-Technical Innovation, IHE
Delft Institute for Water Education, Delft, 2611 AX, the Netherlands
Related authors
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Mostafa Saberian, Vidya Samadi, and Ioana Popescu
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2024-261, https://doi.org/10.5194/hess-2024-261, 2024
Revised manuscript under review for HESS
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Recent progress in neural network accelerated improvements in the performance of catchment modeling systems. Yet flood modeling remains a very difficult task. Focusing on two headwater streams, this paper developed N-HiTS and N-BEATS models and benchmarked them with LSTM to predict flooding events. Analysis suggested that both N-HiTS and N-BEATS outperformed LSTM for short-term (1-hour) flood predictions.
Rishav Karanjit, Vidya Samadi, Amanda Hughes, Pamela Murray-Tuite, and Keri Stephens
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-25, https://doi.org/10.5194/nhess-2024-25, 2024
Revised manuscript not accepted
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This research paper focused on creating a new paradigm for flood evacuation decisions – so-called human-AI Convergence (HAC) system. A Natural Language Processing (NLP) method was used to mine and filter human data from X posts that were deemed relevant to flooding. The human data along with a river hydraulic model and AI algorithms were integrated into an evacuation re-routing algorithm to forecast flood depth and define evacuation decisions.
Faisal Sardar, Muhammad Haris Ali, Ioana Popescu, Andreja Jonoski, Schalk Jan van Andel, and Claudia Bertini
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-276, https://doi.org/10.5194/hess-2023-276, 2023
Manuscript not accepted for further review
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This article analyzes surface and groundwater interactions in a small transboundary lowland catchment. The study also investigates the influence of rainfall representation in model on surface subsurface hydrological simulations. Emphasizing the significance of these interactions, the research highlighted the role of subsurface baseflow in contributing to river discharge. Despite minimal impact on streamflow, spatial variability in rainfall can cause localized fluctuations in groundwater levels.
Md Feroz Islam, Biswa Bhattacharya, and Ioana Popescu
Nat. Hazards Earth Syst. Sci., 19, 353–368, https://doi.org/10.5194/nhess-19-353-2019, https://doi.org/10.5194/nhess-19-353-2019, 2019
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Bangladesh, one of the most disaster-prone countries in the world, has a dynamic delta with 123 polders. Cyclone-induced storm surges cause severe damage to these polders. This paper presents an investigation of the inundation pattern in a polder due to dike failure caused by storm surges and identifies possible critical locations of dike breaches. Moreover, the risk of flooding was assessed and probabilistic flood maps were generated for the breaching of dikes.
Thaine H. Assumpção, Ioana Popescu, Andreja Jonoski, and Dimitri P. Solomatine
Hydrol. Earth Syst. Sci., 22, 1473–1489, https://doi.org/10.5194/hess-22-1473-2018, https://doi.org/10.5194/hess-22-1473-2018, 2018
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Citizens can contribute to science by providing data, analysing them and as such contributing to decision-making processes. For example, citizens have collected water levels from gauges, which are important when simulating/forecasting floods, where data are usually scarce. This study reviewed such contributions and concluded that integration of citizen data may not be easy due to their spatio-temporal characteristics but that citizen data still proved valuable and can be used in flood modelling.
Fabio Sai, Lydia Cumiskey, Albrecht Weerts, Biswa Bhattacharya, and Raihanul Haque Khan
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2018-26, https://doi.org/10.5194/nhess-2018-26, 2018
Revised manuscript not accepted
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The research tackled the challenge of flood impact-based forecasting and service for Bangladesh by proposing an approach based on colour coded as mean for linking forecasted water levels to possible impacts. This was tested at the local level and, although limited to the case study, the results encouraged us to share our outcomes for triggering interest in such approach and to foster further research aimed to move it forward.
Ali D. Abdullah, Jacqueline I. A. Gisen, Pieter van der Zaag, Hubert H. G. Savenije, Usama F. A. Karim, Ilyas Masih, and Ioana Popescu
Hydrol. Earth Syst. Sci., 20, 4031–4042, https://doi.org/10.5194/hess-20-4031-2016, https://doi.org/10.5194/hess-20-4031-2016, 2016
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A comprehensive and detailed data set of the salinity distribution over an entire year in a complex and dynamic (because heavily utilized and modified) deltaic river system was thoroughly analysed, and formed the basis for a validated analytical model that can predict the extent of seawater among other salinity sources in an estuary. The procedure can be applied to other estuaries.
Z. N. Musa, I. Popescu, and A. Mynett
Hydrol. Earth Syst. Sci., 19, 3755–3769, https://doi.org/10.5194/hess-19-3755-2015, https://doi.org/10.5194/hess-19-3755-2015, 2015
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Hydrological data collection is a challenge for the scientific community, especially as some events e.g. floods occur in un-gauged rivers or infrequently.
Some such events are however recorded by satellites.
Using satellite remote sensing in estimating surface water parameters has its limitations, but recent improvements in sensor specifications, expansion in research methods and knowledge of satellite data have increased its utilization.
The review is on modelling and mapping with RS.
Z. N. Musa, I. Popescu, and A. Mynett
Nat. Hazards Earth Syst. Sci., 14, 3317–3329, https://doi.org/10.5194/nhess-14-3317-2014, https://doi.org/10.5194/nhess-14-3317-2014, 2014
C. Fu, I. Popescu, C. Wang, A. E. Mynett, and F. Zhang
Hydrol. Earth Syst. Sci., 18, 1225–1237, https://doi.org/10.5194/hess-18-1225-2014, https://doi.org/10.5194/hess-18-1225-2014, 2014
M. Castro Gama, I. Popescu, A. Mynett, L. Shengyang, and A. van Dam
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhessd-1-6061-2013, https://doi.org/10.5194/nhessd-1-6061-2013, 2013
Manuscript not accepted for further review
M. Arias-Hidalgo, B. Bhattacharya, A. E. Mynett, and A. van Griensven
Hydrol. Earth Syst. Sci., 17, 2905–2915, https://doi.org/10.5194/hess-17-2905-2013, https://doi.org/10.5194/hess-17-2905-2013, 2013
P. D. T. Van, I. Popescu, A. van Griensven, D. P. Solomatine, N. H. Trung, and A. Green
Hydrol. Earth Syst. Sci., 16, 4637–4649, https://doi.org/10.5194/hess-16-4637-2012, https://doi.org/10.5194/hess-16-4637-2012, 2012
Related subject area
Hydrological Hazards
Rapid high-resolution impact-based flood early warning is possible with RIM2D: a showcase for the 2023 pluvial flood in Braunschweig
The 2018–2023 drought in Berlin: impacts and analysis of the perspective of water resources management
Recent large-inland-lake outbursts on the Tibetan Plateau: processes, causes, and mechanisms
Modelling urban stormwater drainage overflows for assessing flood hazards: application to the urban area of Dakar (Senegal)
Dynamics and impacts of monsoon-induced geological hazards: a 2022 flood study along the Swat River in Pakistan
Monte Carlo-based sensitivity analysis of the RIM2D hydrodynamic model for the 2021 flood event in western Germany
Mind the gap: misalignment between drought monitoring and community realities
Post-wildfire sediment source and transport modeling, empirical observations, and applied mitigation: an Arizona, USA, case study
Causes of the exceptionally high number of fatalities in the Ahr valley, Germany, during the 2021 flood
Groundwater recharge in Brandenburg is declining – but why?
Large-scale flood risk assessment in data-scarce areas: an application to Central Asia
Brief communication: Hydrological and hydraulic investigation of the extreme September 2024 flood on the Lamone River in Emilia-Romagna, Italy
Multi-scale hydraulic graph neural networks for flood modelling
The role of antecedent conditions in translating precipitation events into extreme floods at the catchment scale and in a large-basin context
Brief communication: Stay local or go global? On the construction of plausible counterfactual scenarios to assess flash flood hazards
Integrating susceptibility maps of multiple hazards and building exposure distribution: a case study of wildfires and floods for the province of Quang Nam, Vietnam
Tangible and intangible ex post assessment of flood-induced damage to cultural heritage
A multivariate statistical framework for mixed storm types in compound flood analysis
Invited perspectives: safeguarding the usability and credibility of flood hazard and risk assessments
Influence of building collapse on pluvial and fluvial flood inundation of metro stations in central Shanghai
Improving Pluvial Flood Simulations with Multi-source DEM Super-Resolution
Impact of drought hazards on flow regimes in anthropogenically impacted streams: an isotopic perspective on climate stress
The effect of wildfires on flood risk: a multi-hazard flood risk approach for the Ebro River basin, Spain
Modelling hazards impacting the flow regime in the Hranice Karst due to the proposed Skalička Dam
Spatiotemporal variability of flash floods and their human impacts in the Czech Republic during the 2001–2023 period
Risk of compound flooding substantially increases in the future Mekong River delta
Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
Drought propagation in high-latitude catchments: Insights from a 60-Year Analysis Using Standardized Indices
Floods in the Pyrenees: a global view through a regional database
Algorithmically detected rain-on-snow flood events in different climate datasets: a case study of the Susquehanna River basin
Disentangling Atmospheric, Hydrological, and Coupling Uncertainties in Compound Flood Modeling within a Coupled Earth System Model
Review article: Drought as a continuum – memory effects in interlinked hydrological, ecological, and social systems
Coupling WRF with HEC-HMS and WRF-Hydro for flood forecasting in typical mountainous catchments of northern China
Evaluating Yangtze River Delta Urban Agglomeration flood risk using hybrid method of AutoML and AHP
Precursors and pathways: dynamically informed extreme event forecasting demonstrated on the historic Emilia-Romagna 2023 flood
Demonstrating the use of UNSEEN climate data for hydrological applications: case studies for extreme floods and droughts in England
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Are 2D shallow-water solvers fast enough for early flood warning? A comparative assessment on the 2021 Ahr valley flood event
Water depth estimate and flood extent enhancement for satellite-based inundation maps
Hail events in Germany, rare or frequent natural hazards?
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Flood occurrence and impact models for socioeconomic applications over Canada and the United States
Model-based assessment of climate change impact on inland flood risk at the German North Sea coast caused by compounding storm tide and precipitation events
An improved dynamic bidirectional coupled hydrologic–hydrodynamic model for efficient flood inundation prediction
Quantifying hazard resilience by modeling infrastructure recovery as a resource-constrained project scheduling problem
Hydrometeorological controls of and social response to the 22 October 2019 catastrophic flash flood in Catalonia, north-eastern Spain
A downward-counterfactual analysis of flash floods in Germany
Hyper-resolution flood hazard mapping at the national scale
Compound droughts under climate change in Switzerland
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Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen
Nat. Hazards Earth Syst. Sci., 25, 1737–1749, https://doi.org/10.5194/nhess-25-1737-2025, https://doi.org/10.5194/nhess-25-1737-2025, 2025
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This work introduces RIM2D (Rapid Inundation Model 2D), a hydrodynamic model for precise and rapid flood predictions that is ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.
Ina Pohle, Sarah Zeilfelder, Johannes Birner, and Benjamin Creutzfeldt
Nat. Hazards Earth Syst. Sci., 25, 1293–1313, https://doi.org/10.5194/nhess-25-1293-2025, https://doi.org/10.5194/nhess-25-1293-2025, 2025
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Climate change, the lignite mining phase-out and structural changes challenge water resources management of the German capital Berlin. Reduced water availability and rising demand are creating latent water quality problems. The 2018–2023 drought uniquely impacted temperature, precipitation, groundwater and surface water. Analysing the impacts of the 2018–2023 drought helps to address water-related challenges and implement effective measures in Berlin and its surrounding areas.
Fenglin Xu, Yong Liu, Guoqing Zhang, Ping Zhao, R. Iestyn Woolway, Yani Zhu, Jianting Ju, Tao Zhou, Xue Wang, and Wenfeng Chen
Nat. Hazards Earth Syst. Sci., 25, 1187–1206, https://doi.org/10.5194/nhess-25-1187-2025, https://doi.org/10.5194/nhess-25-1187-2025, 2025
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Glacial lake outbursts have been widely studied, but large-inland-lake outbursts have received less attention. Recently, with the rapid expansion of inland lakes, signs of potential outbursts have increased. However, their processes, causes, and mechanisms are still not well understood. Here, the outburst processes of two inland lakes were investigated using a combination of field surveys, remote sensing mapping, and hydrodynamic modeling. Their causes and mechanisms were also investigated.
Laurent Pascal Malang Diémé, Christophe Bouvier, Ansoumana Bodian, and Alpha Sidibé
Nat. Hazards Earth Syst. Sci., 25, 1095–1112, https://doi.org/10.5194/nhess-25-1095-2025, https://doi.org/10.5194/nhess-25-1095-2025, 2025
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We propose a decision support tool that detect the occurrence of flooding by drainage overflow, with sufficiently short calculation times. The simulations are based on a drainage topology on 5 m grids, incorporating changes to surface flows induced by urbanization. The method can be used for flood mapping in project mode and in real time. It applies to the present situation as well as to any scenario involving climate change or urban growth.
Nazir Ahmed Bazai, Mehtab Alam, Peng Cui, Wang Hao, Adil Poshad Khan, Muhammad Waseem, Yao Shunyu, Muhammad Ramzan, Li Wanhong, and Tashfain Ahmed
Nat. Hazards Earth Syst. Sci., 25, 1071–1093, https://doi.org/10.5194/nhess-25-1071-2025, https://doi.org/10.5194/nhess-25-1071-2025, 2025
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The 2022 monsoon in Pakistan's Swat River basin brought record rainfall, exceeding averages by 7–8%, triggering catastrophic debris flows and floods. Key factors include extreme rainfall, deforestation, and steep slopes. Fieldwork, remote sensing, and simulations highlight land degradation's role in intensifying floods. Recommendations include reforestation, early warning systems, and land use reforms to protect communities and reduce future risks
Shahin Khosh Bin Ghomash, Patricio Yeste, Heiko Apel, and Viet Dung Nguyen
Nat. Hazards Earth Syst. Sci., 25, 975–990, https://doi.org/10.5194/nhess-25-975-2025, https://doi.org/10.5194/nhess-25-975-2025, 2025
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Hydrodynamic models are vital for predicting floods, like those in Germany's Ahr region in July 2021. We refine the RIM2D model for the Ahr region, analyzing the impact of various factors using Monte Carlo simulations. Accurate parameter assignment is crucial, with channel roughness and resolution playing key roles. Coarser resolutions are suitable for flood extent predictions, aiding early-warning systems. Our work provides guidelines for optimizing hydrodynamic models in the Ahr region.
Sarra Kchouk, Louise Cavalcante, Lieke A. Melsen, David W. Walker, Germano Ribeiro Neto, Rubens Gondim, Wouter J. Smolenaars, and Pieter R. van Oel
Nat. Hazards Earth Syst. Sci., 25, 893–912, https://doi.org/10.5194/nhess-25-893-2025, https://doi.org/10.5194/nhess-25-893-2025, 2025
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Droughts impact water and people, yet monitoring often overlooks impacts on people. In northeastern Brazil, we compare official data to local experiences, finding data mismatches and blind spots. Mismatches occur due to the data's broad scope missing finer details. Blind spots arise from ignoring diverse community responses and vulnerabilities to droughts. We suggest enhanced monitoring by technical extension officers for both severe and mild droughts.
Edward R. Schenk, Alex Wood, Allen Haden, Gabriel Baca, Jake Fleishman, and Joe Loverich
Nat. Hazards Earth Syst. Sci., 25, 727–745, https://doi.org/10.5194/nhess-25-727-2025, https://doi.org/10.5194/nhess-25-727-2025, 2025
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Post-wildfire flooding and debris are dangerous and damaging. This study used three different sediment models to predict post-wildfire sediment sources and transport amounts downstream of the 2019 Museum Fire in northern Arizona, USA. The predictions were compared with real-world measurements of sediment that was cleaned out of the city of Flagstaff after four large floods in 2021. Results provide avenues for continued model refinement and an example of potential mitigation strategies.
Belinda Rhein and Heidi Kreibich
Nat. Hazards Earth Syst. Sci., 25, 581–589, https://doi.org/10.5194/nhess-25-581-2025, https://doi.org/10.5194/nhess-25-581-2025, 2025
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In July 2021, flooding killed 190 people in Germany, 134 of them in the Ahr valley, making it the deadliest flood in recent German history. The flash flood was extreme in terms of water levels, flow velocities and flood extent, and early warning and evacuation were inadequate. Many died on the ground floor or in the street, with older and impaired individuals especially vulnerable. Clear warnings should urge people to seek safety rather than save belongings, and timely evacuations are essential.
Till Francke and Maik Heistermann
EGUsphere, https://doi.org/10.5194/egusphere-2025-222, https://doi.org/10.5194/egusphere-2025-222, 2025
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Brandenburg is among the driest federal states in Germany. The low ground water recharge (GWR) is fundamental to both water supply and the support of natural ecosystems. In this study, we show that the decline of observed discharge and groundwater tables since 1980 can be explained by climate change in combination with an increasing leaf area index. Still, simulated GWR rates remain highly uncertain due to the uncertainty of precipitation trends.
Paola Ceresa, Gianbattista Bussi, Simona Denaro, Gabriele Coccia, Paolo Bazzurro, Mario Martina, Ettore Fagà, Carlos Avelar, Mario Ordaz, Benjamin Huerta, Osvaldo Garay, Zhanar Raimbekova, Kanatbek Abdrakhmatov, Sitora Mirzokhonova, Vakhitkhan Ismailov, and Vladimir Belikov
Nat. Hazards Earth Syst. Sci., 25, 403–428, https://doi.org/10.5194/nhess-25-403-2025, https://doi.org/10.5194/nhess-25-403-2025, 2025
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A fully probabilistic flood risk assessment was carried out for five Central Asian countries to support regional and national risk financing and insurance applications. The paper presents the first high-resolution regional-scale transboundary flood risk assessment study in the area aiming to provide tools for decision-making.
Alessia Ferrari, Giulia Passadore, Renato Vacondio, Luca Carniello, Mattia Pivato, Elena Crestani, Francesco Carraro, Francesca Aureli, Sara Carta, Francesca Stumpo, and Paolo Mignosa
EGUsphere, https://doi.org/10.5194/egusphere-2025-216, https://doi.org/10.5194/egusphere-2025-216, 2025
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Between September 17 and 20, 2024, the Lamone River basin in Northern Italy was hit by extreme precipitations. This study adopts the hydrological model Rhyme and the hydrodynamic model PARFLOOD to simulate the hydrological processes in the watershed and the levee-breach-induced inundation affecting the Traversara village. The close match between the resulting flooded areas and the observed ones shows the capability of these numerical models to support the preparedness for at-risk populations.
Roberto Bentivoglio, Elvin Isufi, Sebastiaan Nicolas Jonkman, and Riccardo Taormina
Nat. Hazards Earth Syst. Sci., 25, 335–351, https://doi.org/10.5194/nhess-25-335-2025, https://doi.org/10.5194/nhess-25-335-2025, 2025
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Deep learning methods are increasingly used as surrogates for spatio-temporal flood models but struggle with generalization and speed. Here, we propose a multi-resolution approach using graph neural networks that predicts dike breach floods across different meshes, topographies, and boundary conditions with high accuracy and up to 1000× speed-ups. The model also generalizes to larger more complex case studies with just one additional simulation for fine-tuning.
Maria Staudinger, Martina Kauzlaric, Alexandre Mas, Guillaume Evin, Benoit Hingray, and Daniel Viviroli
Nat. Hazards Earth Syst. Sci., 25, 247–265, https://doi.org/10.5194/nhess-25-247-2025, https://doi.org/10.5194/nhess-25-247-2025, 2025
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Various combinations of antecedent conditions and precipitation result in floods of varying degrees. Antecedent conditions played a crucial role in generating even large ones. The key predictors and spatial patterns of antecedent conditions leading to flooding at the basin's outlet were distinct. Precipitation and soil moisture from almost all sub-catchments were important for more frequent floods. For rarer events, only the predictors of specific sub-catchments were important.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 4609–4615, https://doi.org/10.5194/nhess-24-4609-2024, https://doi.org/10.5194/nhess-24-4609-2024, 2024
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Floods have caused significant damage in the past. To prepare for such events, we rely on historical data but face issues due to rare rainfall events, lack of data and climate change. Counterfactuals, or
what ifscenarios, simulate historical rainfall in different locations to estimate flood levels. Our new study refines this by deriving more-plausible local scenarios, using the June 2024 Bavaria flood as a case study. This method could improve preparedness for future floods.
Chinh Luu, Giuseppe Forino, Lynda Yorke, Hang Ha, Quynh Duy Bui, Hanh Hong Tran, Dinh Quoc Nguyen, Hieu Cong Duong, and Matthieu Kervyn
Nat. Hazards Earth Syst. Sci., 24, 4385–4408, https://doi.org/10.5194/nhess-24-4385-2024, https://doi.org/10.5194/nhess-24-4385-2024, 2024
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This study presents a novel and integrated approach to assessing the climate hazards of floods and wildfires. We explore multi-hazard assessment and risk through a machine learning modeling approach. The process includes collecting a database of topography, climate, geology, environment, and building data; developing models for multi-hazard assessment and coding in the Google Earth Engine; and producing credible multi-hazard susceptibility and building exposure maps.
Claudia De Lucia, Michele Amaddii, and Chiara Arrighi
Nat. Hazards Earth Syst. Sci., 24, 4317–4339, https://doi.org/10.5194/nhess-24-4317-2024, https://doi.org/10.5194/nhess-24-4317-2024, 2024
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This work describes the flood damage to cultural heritage (CH) that occurred in September 2022 in central Italy. Datasets related to flood impacts on cultural heritage are rare, and this work aims at highlighting both tangible and intangible aspects and their correlation with physical characteristics of flood (i.e. water depth and flow velocity). The results show that current knowledge and datasets are inadequate for risk assessment of CH.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
Nat. Hazards Earth Syst. Sci., 24, 4015–4030, https://doi.org/10.5194/nhess-24-4015-2024, https://doi.org/10.5194/nhess-24-4015-2024, 2024
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Flood risk assessments help us decide how to reduce the risk of flooding. Since these assessments are based on probabilities, it is hard to check their accuracy by comparing them to past data. We suggest a new way to validate these assessments, making sure they are practical for real-life decisions. This approach looks at both the technical details and the real-world situations where decisions are made. We demonstrate its practicality by applying it to flood emergency planning.
Zhi Li, Hanqi Li, Zhibo Zhang, Chaomeng Dai, and Simin Jiang
Nat. Hazards Earth Syst. Sci., 24, 3977–3990, https://doi.org/10.5194/nhess-24-3977-2024, https://doi.org/10.5194/nhess-24-3977-2024, 2024
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This study used advanced computer simulations to investigate how earthquake-induced building collapse affects flooding of the metro stations in Shanghai. Results show that the influences of building collapse on rainfall-driven and river-driven floods are different because these two types of floods have different origination and propagation mechanisms.
Yue Zhu, Paolo Burlando, Puay Yok Tan, Christian Geiß, and Simone Fatichi
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-207, https://doi.org/10.5194/nhess-2024-207, 2024
Revised manuscript accepted for NHESS
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This study addresses the challenge of accurately predicting floods in regions with limited terrain data. By utilizing a deep learning model, we developed a method that improves the resolution of digital elevation data by fusing low-resolution elevation data with high-resolution satellite imagery. This approach not only substantially enhances flood prediction accuracy, but also holds potential for broader applications in simulating natural hazards that require terrain information.
Maria Magdalena Warter, Dörthe Tetzlaff, Christian Marx, and Chris Soulsby
Nat. Hazards Earth Syst. Sci., 24, 3907–3924, https://doi.org/10.5194/nhess-24-3907-2024, https://doi.org/10.5194/nhess-24-3907-2024, 2024
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Streams are increasingly impacted by droughts and floods. Still, the amount of water needed for sustainable flows remains unclear and contested. A comparison of two streams in the Berlin–Brandenburg region of northeast Germany, using stable water isotopes, shows strong groundwater dependence with seasonal rainfall contributing to high/low flows. Understanding streamflow variability can help us assess the impacts of climate change on future water resource management.
Samuel Jonson Sutanto, Matthijs Janssen, Mariana Madruga de Brito, and Maria del Pozo Garcia
Nat. Hazards Earth Syst. Sci., 24, 3703–3721, https://doi.org/10.5194/nhess-24-3703-2024, https://doi.org/10.5194/nhess-24-3703-2024, 2024
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A conventional flood risk assessment only evaluates flood hazard in isolation without considering wildfires. This study, therefore, evaluates the effect of wildfires on flood risk, considering both current and future conditions for the Ebro River basin in Spain. Results show that extreme climate change increases the risk of flooding, especially when considering the effect of wildfires, highlighting the importance of adopting a multi-hazard risk management approach.
Miroslav Spano and Jaromir Riha
Nat. Hazards Earth Syst. Sci., 24, 3683–3701, https://doi.org/10.5194/nhess-24-3683-2024, https://doi.org/10.5194/nhess-24-3683-2024, 2024
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The study examines the effects of hydrogeological hazard due to construction of the Skalička Dam near the Hranice Karst on groundwater discharges and water levels in the local karst formations downstream. A simplified pipe model was used to analyze the impact of two dam layouts: lateral and through-flow reservoirs. Results show that the through-flow scheme more significantly influences water levels and the discharge of mineral water, while the lateral layout has only negligible impact.
Rudolf Brázdil, Dominika Faturová, Monika Šulc Michalková, Jan Řehoř, Martin Caletka, and Pavel Zahradníček
Nat. Hazards Earth Syst. Sci., 24, 3663–3682, https://doi.org/10.5194/nhess-24-3663-2024, https://doi.org/10.5194/nhess-24-3663-2024, 2024
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Flash floods belong to natural hazards that can be enhanced in frequency, intensity, and impact during recent climate change. This paper presents a complex analysis of spatiotemporal variability and human impacts (including material damage and fatalities) of flash floods in the Czech Republic for the 2001–2023 period. The analysis generally shows no statistically significant trends in the characteristics analyzed.
Melissa Wood, Ivan D. Haigh, Quan Quan Le, Hung Nghia Nguyen, Hoang Ba Tran, Stephen E. Darby, Robert Marsh, Nikolaos Skliris, and Joël J.-M. Hirschi
Nat. Hazards Earth Syst. Sci., 24, 3627–3649, https://doi.org/10.5194/nhess-24-3627-2024, https://doi.org/10.5194/nhess-24-3627-2024, 2024
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We look at how compound flooding from the combination of river flooding and storm tides (storm surge and astronomical tide) may be changing over time due to climate change, with a case study of the Mekong River delta. We found that future compound flooding has the potential to flood the region more extensively and be longer lasting than compound floods today. This is useful to know because it means managers of deltas such as the Mekong can assess options for improving existing flood defences.
Maryam Pakdehi, Ebrahim Ahmadisharaf, Behzad Nazari, and Eunsaem Cho
Nat. Hazards Earth Syst. Sci., 24, 3537–3559, https://doi.org/10.5194/nhess-24-3537-2024, https://doi.org/10.5194/nhess-24-3537-2024, 2024
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Machine learning (ML) algorithms have increasingly received attention for modeling flood events. However, there are concerns about the transferability of these models (their capability in predicting out-of-sample and unseen events). Here, we show that ML models can be transferable for hindcasting maximum river flood depths across extreme events (four hurricanes) in a large coastal watershed (HUC6) when informed by the spatial distribution of pertinent features and underlying physical processes.
Claudia Teutschbein, Thomas Grabs, Markus Giese, Andrijana Todorović, and Roland Barthel
EGUsphere, https://doi.org/10.5194/egusphere-2024-2742, https://doi.org/10.5194/egusphere-2024-2742, 2024
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This study explores how droughts develop and spread in high-latitude regions, focusing on the unique conditions found in areas like Scandinavia. It reveals that droughts affect soil, rivers, and groundwater differently, depending on factors like land cover, water availability, and soil properties. The findings highlight the importance of tailored water management strategies to protect resources and ecosystems in these regions, especially as climate change continues to impact weather patterns.
María Carmen Llasat, Montserrat Llasat-Botija, Erika Pardo, Raül Marcos-Matamoros, and Marc Lemus-Canovas
Nat. Hazards Earth Syst. Sci., 24, 3423–3443, https://doi.org/10.5194/nhess-24-3423-2024, https://doi.org/10.5194/nhess-24-3423-2024, 2024
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This paper shows the first public and systematic dataset of flood episodes referring to the entire Pyrenees massif, at municipal scale, named PIRAGUA_flood. Of the 181 flood events (1981–2015) that produced 154 fatalities, 36 were transnational, with the eastern part of the massif most affected. Dominant weather types show a southern component flow, with a talweg on the Iberian Peninsula and a depression in the vicinity. A positive and significant trend was found in Nouvelle-Aquitaine.
Colin M. Zarzycki, Benjamin D. Ascher, Alan M. Rhoades, and Rachel R. McCrary
Nat. Hazards Earth Syst. Sci., 24, 3315–3335, https://doi.org/10.5194/nhess-24-3315-2024, https://doi.org/10.5194/nhess-24-3315-2024, 2024
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We developed an automated workflow to detect rain-on-snow events, which cause flooding in the northeastern United States, in climate data. Analyzing the Susquehanna River basin, this technique identified known events affecting river flow. Comparing four gridded datasets revealed variations in event frequency and severity, driven by different snowmelt and runoff estimates. This highlights the need for accurate climate data in flood management and risk prediction for these compound extremes.
Dongyu Feng, Zeli Tan, Darren Engwirda, Jonathan D. Wolfe, Donghui Xu, Chang Liao, Gautam Bisht, James J. Benedict, Tian Zhou, Mithun Deb, Hong-Yi Li, and L. Ruby Leung
EGUsphere, https://doi.org/10.5194/egusphere-2024-2785, https://doi.org/10.5194/egusphere-2024-2785, 2024
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Our study explores how riverine and coastal flooding during hurricanes is influenced by the interaction of atmosphere, land, river and ocean conditions. Using an advanced Earth system model, we simulate Hurricane Irene to evaluate how meteorological and hydrological uncertainties affect flood modeling. Our findings reveal the importance of a multi-component modeling system, how hydrological conditions play critical roles in flood modeling, and greater flood risks if multiple factors are present.
Anne F. Van Loon, Sarra Kchouk, Alessia Matanó, Faranak Tootoonchi, Camila Alvarez-Garreton, Khalid E. A. Hassaballah, Minchao Wu, Marthe L. K. Wens, Anastasiya Shyrokaya, Elena Ridolfi, Riccardo Biella, Viorica Nagavciuc, Marlies H. Barendrecht, Ana Bastos, Louise Cavalcante, Franciska T. de Vries, Margaret Garcia, Johanna Mård, Ileen N. Streefkerk, Claudia Teutschbein, Roshanak Tootoonchi, Ruben Weesie, Valentin Aich, Juan P. Boisier, Giuliano Di Baldassarre, Yiheng Du, Mauricio Galleguillos, René Garreaud, Monica Ionita, Sina Khatami, Johanna K. L. Koehler, Charles H. Luce, Shreedhar Maskey, Heidi D. Mendoza, Moses N. Mwangi, Ilias G. Pechlivanidis, Germano G. Ribeiro Neto, Tirthankar Roy, Robert Stefanski, Patricia Trambauer, Elizabeth A. Koebele, Giulia Vico, and Micha Werner
Nat. Hazards Earth Syst. Sci., 24, 3173–3205, https://doi.org/10.5194/nhess-24-3173-2024, https://doi.org/10.5194/nhess-24-3173-2024, 2024
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Drought is a creeping phenomenon but is often still analysed and managed like an isolated event, without taking into account what happened before and after. Here, we review the literature and analyse five cases to discuss how droughts and their impacts develop over time. We find that the responses of hydrological, ecological, and social systems can be classified into four types and that the systems interact. We provide suggestions for further research and monitoring, modelling, and management.
Sheik Umar Jam-Jalloh, Jia Liu, Yicheng Wang, and Yuchen Liu
Nat. Hazards Earth Syst. Sci., 24, 3155–3172, https://doi.org/10.5194/nhess-24-3155-2024, https://doi.org/10.5194/nhess-24-3155-2024, 2024
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Our paper explores improving flood forecasting using advanced weather and hydrological models. By coupling the WRF model with WRF-Hydro and HEC-HMS, we achieved more accurate forecasts. WRF–WRF-Hydro excels for short, intense storms, while WRF–HEC-HMS is better for longer, evenly distributed storms. Our research shows how these models provide insights for adaptive atmospheric–hydrologic systems and aims to boost flood preparedness and response with more reliable, timely predictions.
Yu Gao, Haipeng Lu, Yaru Zhang, Hengxu Jin, Shuai Wu, Yixuan Gao, and Shuliang Zhang
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-144, https://doi.org/10.5194/nhess-2024-144, 2024
Revised manuscript accepted for NHESS
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This study focuses on the Yangtze River Delta Urban Agglomeration (YRDUA), where we determined flood risk assessment indices across different dimensions, including hazard, exposure, vulnerability, and resilience. We constructed a flood risk assessment model using AutoML and AHP to examine the spatial and temporal changes in flood risk in the region over the past 30 years (1990 to 2020), aiming to provide a scientific basis for flood prevention and resilience strategies in the YRDUA.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Tabea Wilke, Katharina Lengfeld, and Markus Schultze
EGUsphere, https://doi.org/10.5194/egusphere-2024-2507, https://doi.org/10.5194/egusphere-2024-2507, 2024
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Hail in Germany is a natural hazard that is not in everyone's focus, even though it can cause great damage. In this study we focus on hail frequency, sizes and spatial distribution in Germany based on crowd sourcing and weather radar data. We compare different algorithms based on weather radar data with crowd sourced data and show the annual and diurnal cycle of hail in Germany.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Cited articles
Abbott, M. B., Bathurst, J. C., Cunge, J. A., O'Connell, P. E., and Rasmussen, J.: An introduction to the European Hydrological System – Systeme Hydrologiquee Europeen, “SHE”: History and philosophy of a physically-based, distributed modeling system, J. Hydrol., 87, 45–59, https://doi.org/10.1016/0022-1694(86)90114-9, 1986.
Anselmo, V., Galeati, G., Palmieri, S., Rossi, U., and Todini, E.: Flood
risk assessment using an integrated hydrological hydraulic modeling
approach: a case study, J. Hydrol., 175, 533–554, https://doi.org/10.1016/S0022-1694(96)80023-0, 1996.
Bhatt, C. M., Rao, G. S., Diwakar, P. G., and Dadhwal, V. K.: Development
of flood inundation extent libraries over a range of potential flood levels:
a practical framework for quick flood response, Geomat. Nat. Haz. Risk, 8, 384–401, https://doi.org/10.1080/19475705.2016.1220025, 2017.
Bhattacharya, B., Mazzoleni, M., and Ugay, R.: Flood inundation mapping of
the sparsely gauged large-scale Brahmaputra basin using remote sensing
products, Remote Sens., 11, 501, https://doi.org/10.3390/rs11050501, 2019.
Bhusal, A., Parajuli, U., Regmi, S., and Kalra, A.: Application of Machine
Learning and Process-Based Models for Rainfall-Runoff Simulation in DuPage
River Basin, Illinois, Hydrology, 9, 117, https://doi.org/10.3390/hydrology9070117, 2022.
Brink, E., Aalders, T., Ádám, D., Feller, R., Henselek, Y.,
Hoffmann, A., Ibe, K., Matthey-Doret, A., Meyer, M., Negrut, N. L., Rau, A.
L., Riewerts, B., von Schuckmann, L., Törnros, S., von Wehrden, H.,
Abson, D. J., and Wamsler, C.: Cascades of green: A review of
ecosystem-based adaptation in urban areas, Global Environ. Chang., 36,
111–123, https://doi.org/10.1016/j.gloenvcha.2015.11.003, 2016.
Bronstert, A., Niehoff, D., and Brger, G.: Effects of climate and land-use
change on storm runoff generation: Present knowledge and modeling
capabilities, Hydrol. Process., 16, 509–529, https://doi.org/10.1002/hyp.326, 2002.
Chen, M., Li, Z., Gao, S., Luo, X., Wing, O. E. J., Shen, X., Gourley, J.
J., Kolar, R. L., and Hong, Y.: A comprehensive flood inundation mapping
for Hurricane Harvey using an integrated hydrological and hydraulic model,
J. Hydrometeorol., 22, 1713–1726, https://doi.org/10.1175/JHM-D-20-0218.1, 2021.
Cohen-Shacham, E., Walters, G., Janzen, C., and Maginnis, S.: Nature-based solutions to address global societal challenges, IUCN International Union for
Conservation of Nature, https://doi.org/10.2305/iucn.ch.2016.13.en, 2016.
Dartmouth Flood Observatory: Hurricane Matthew Flooding, Dartmouth Flood Observatory, https://floodobservatory.colorado.edu/Events/2016USA4402/2016USA4402.html
(last access: 15 November 2022), 2016.
Dartmouth Flood Observatory: Tropical Storm Florence, Dartmouth Flood Observatory, https://floodobservatory.colorado.edu/Events/4676/2018USA4676.html (last access: November 2022), 2018.
DNR: South Carolina State Climatology Office, DNR, https://www.dnr.sc.gov/climate/sco/ (last access: November 2022), 2021.
Doll, B., Kurki-Fox, J., and Associate, R.: Evaluating the Capacity of
Natural Infrastructure for Flood Abatement at the Watershed Scale,
Goldsboro, NC, North Carolina Sea Grant, https://ncseagrant.ncsu.edu/ (last access: November 2022), 2020.
Dutta, D., Herath, S., and Musiake, K.: An application of a flood risk
analysis system for impact analysis of a flood control plan in a river
basin, Hydrol. Process., 20, 1365–1384, https://doi.org/10.1002/hyp.6092, 2006.
Duane, S., Kennedy, A. D., Pendleton, B. J., and Roweth, D.: Hybrid Monte Carlo, Phys. Lett. B, 195, 216–222, https://doi.org/10.1016/0370-2693(87)91197-X, 1987.
Dutta, D., Teng, J., Vaze, J., Lerat, J., Hughes, J., and Marvanek, S.:
Storage-based approaches to build floodplain inundation modeling capability
in river system models for water resources planning and accounting, J. Hydrol., 504, 12–28, https://doi.org/10.1016/j.jhydrol.2013.09.033, 2013.
Ecologic Institute: Rivers and estuaries – Coastal Management Webguide – RISC KIT, https://coastal-management.eu/coastal-element/rivers-estuaries.html (last access: November 2022), 2019.
Edwards, A.: Pee Dee town struggles to recover from two floods in three years, Carolina News and Reporter, https://carolinanewsandreporter.cic.sc.edu/nichols-special-project/ (last access: November 2022), 2020.
EESI: Nature as Resilient Infrastructure – An Overview of Nature-Based
Solutions, Environmental and Energy Study Institute,
https://www.eesi.org/papers/view/fact-sheet-nature-as-resilient-infrastructure-an-overview-of-nature-based-solutions
(last access: November 2022), 2019.
El Gharamti, M., McCreight, J. L., Noh, S. J., Hoar, T. J., RafieeiNasab, A., and Johnson, B. K.: Ensemble streamflow data assimilation using WRF-Hydro and DART: novel localization and inflation techniques applied to Hurricane Florence flooding, Hydrol. Earth Syst. Sci., 25, 5315–5336, https://doi.org/10.5194/hess-25-5315-2021, 2021.
Emergency Management NC: Lumber River basin flood analysis and mitigation
strategies study, Emergency Management NC, https://www.rebuild.nc.gov/media/77/open (last access: November 2022), 2018.
European Commission: Nature-based solutions, NetworkNature, https://networknature.eu/, last access: November 2022.
European Parliament: Directive 2007/60/EC of the European Parliament and of
the Council on the assessment and management of flood risks, EUR-Lex, https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=celex:32007L0060 (last access: November 2022), 2017.
Fish, U. S. and Dahl, T. E.: South Carolina's Wetlands: Status and Trends,
1982–1989, FWS (Fish and Wildlife Service), United States, https://www.fws.gov/wetlands/documents/South-Carolinas-Wetlands-Status-and-Trends-1982-1989.pdf (last access: 13 July 2023), 1999.
Grimaldi, S., Schumann, G. J. P., Shokri, A., Walker, J. P., and Pauwels,
V. R. N.: Challenges, Opportunities, and Pitfalls for Global Coupled
Hydrologic-Hydraulic Modeling of Floods, Water Resour. Res., 55,
5277–5300, https://doi.org/10.1029/2018WR024289, 2019.
Howie, L.: Community Involvement in Flood Mitigation, A Survey-Based
Approach in Marion County, SC, Coastal Carolina University Electronic Theses
and Dissertations, 122, United States, https://digitalcommons.coastal.edu/etd/122 (last access: 13 July 2023), 2020.
IPCC: Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, edited by: Pörtner, H.-O., Roberts, D. C., Tignor, M., Poloczanska, E. S., Mintenbeck, K., Alegría, A., Craig, M., Langsdorf, S., Löschke, S., Möller, V., Okem, A., and Rama, B., Cambridge University Press. Cambridge University Press, Cambridge, UK and New York, NY, USA, 3056 pp., https://doi.org/10.1017/9781009325844, 2022.
IUCN: Nature-based Solutions, International Union for Conservation of Nature,
https://www.iucn.org/our-work/nature-based-solutions, last access: November 2022.
Kalantari, Z., Ferreira, C. S. S., Keesstra, S., and Destouni, G.: Nature-based solutions for flood-drought risk mitigation in vulnerable urbanizing parts of East Africa, Current Opinion in Environmental Science & Health, 5, 73–78, https://doi.org/10.1016/j.coesh.2018.06.003, 2018.
Knebl, M. R., Yang, Z.-L., Hutchison K., and Maidment, D. R.: Regional scale
flood modeling using NEXRAD rainfall, GIS, and HEC-HMS/RAS: a case study for
the San Antonio River Basin Summer 2002 storm event, J. Environ. Manage., 75, 325–336, https://doi.org/10.1016/j.jenvman.2004.11.024, 2005.
Knutson, T.: Global Warming and Hurricanes, NOAA Geophysical Fluid Dynamics Laboratory, https://www.gfdl.noaa.gov/global-warming-and-hurricanes/, last access: November 2022.
Kossin, J. P.: A global slowdown of tropical-cyclone translation speed,
Nature, 558, 104–107, https://doi.org/10.1038/s41586-018-0158-3, 2018.
Kumar, P., Debele, S. E., Sahani, J., Rawat, N., Marti-Cardona, B., Alfieri, S. M., Basu, B., Basu, A. S., Bowyer, P., Charizopoulos, N., Gallotti, G., Jaakko, J., Leo, L. S., Loupis, M., Menenti, M., Mickovski, S. B., Mun, S. J., Gonzalez-Ollauri, A., Pfeiffer, J., Pilla, F., Pröll, J., Rutzinger, M., Santo, M. A., Sannigrahi, S., Spyrou, C., Tuomenvirta, H., and Zieher, T.:
Nature-based solutions efficiency evaluation against natural hazards:
Modeling methods, advantages, and limitations, Sci. Total
Environ., 784, 147058, https://doi.org/10.1016/j.scitotenv.2021.147058, 2021.
Lama, G. F. C., Giovannini, M. R. M., Errico, A., Mirzaei, S., Padulano, R.,
Chirico, G. B., and Preti, F.: Hydraulic efficiency of green-blue flood
control scenarios for vegetated rivers: 1D and 2D unsteady simulations,
Water, 13, 2620, https://doi.org/10.3390/w13192620, 2021.
Ly, S., Charles, C., and Degré, A.: Geostatistical interpolation of daily rainfall at catchment scale: the use of several variogram models in the Ourthe and Ambleve catchments, Belgium, Hydrol. Earth Syst. Sci., 15, 2259–2274, https://doi.org/10.5194/hess-15-2259-2011, 2011.
Mishra, S. K. and Singh, V. P.: SCS-CN Method, in: Soil Conservation Service Curve Number (SCS-CN) Methodology, Water Science and Technology Library, vol. 42, Springer, Dordrecht, https://doi.org/10.1007/978-94-017-0147-1_2, 2003.
MRLC: Multi-Reolution Land Characteistics Consortium viewer, Multi-Resolution Land Characteristics (MRLC) Consortium [data set], https://www.mrlc.gov/viewer/, last access: 13 July 2023.
Mubeen, A., Ruangpan, L., Vojinovic, Z., Sanchez Torrez, A., and
Plavšić, J.: Planning and Suitability Assessment of Large-scale
Nature-based Solutions for Flood-risk Reduction, Water Resour. Manag.,
35, 3063–3081, https://doi.org/10.1007/s11269-021-02848-w, 2021.
Muller, C.: How to Save Nichols, SC: A Small Town Lost in the Floods,
Woolpert presentation, https://www.seswa.org/assets/Services/Annual-Conference/2020/3%20-%20Muller.pdf
(last access: November 2022), 2020.
NASA: Matthew (Atlantic Ocean), NASA,
https://www.nasa.gov/feature/goddard/2016/matthew-atlantic-ocean (last
access: March 2023), 2016.
Nash, J. E. and Sutcliffe, J. V.: River Flow Forecasting through Conceptual Model. Part 1 – A Discussion of Principles, J. Hydrol., 10, 282–290, https://doi.org/10.1016/0022-1694(70)90255-6, 1970.
National Hurricane Center: Hurricane Florence, National Hurricane Center,
https://www.nhc.noaa.gov/archive/2018/al06/al062018.discus.055.shtml
(last access: March 2023), 2018.
NOAA: Inland flooding – A hidden danger of tropical cyclones, National Oceanic and Atmospheric Administration,
https://www.noaa.gov/stories/inland-flooding-hidden-danger-of-tropical-cyclones
(last access: November 2022), 2018.
NOAA: Hurricanes, National Oceanic and Atmospheric Administration,
https://www.noaa.gov/education/resource-collections/weather-atmosphere/hurricanes#:~:text=Hurricanes%2C%20known%20generically%20as%20tropical,energy%20from%20warm%20ocean%20waters
(last access: November 2022), 2020.
NRCS Kansas: Manning's n Values for Various Land Covers to Use for Dam
Breach Analyses, NRCS Kansas,
https://rashms.com/wp-content/uploads/2021/01/Mannings-n-values-NLCD-NRCS.pdf
(last access: November 2022), 2016.
Phillips R. C., Samadi S. Z., and Meadows M. E.: How extreme was the October 2015 flood in the Carolinas? An assessment of flood frequency analysis and distribution tails, J. Hydrol., 562, 648–663,
https://doi.org/10.1016/j.jhydrol.2018.05.035, 2018.
Ruangpan, L., Vojinovic, Z., Di Sabatino, S., Leo, L. S., Capobianco, V., Oen, A. M. P., McClain, M. E., and Lopez-Gunn, E.: Nature-based solutions for hydro-meteorological risk reduction: a state-of-the-art review of the research area, Nat. Hazards Earth Syst. Sci., 20, 243–270, https://doi.org/10.5194/nhess-20-243-2020, 2020.
Sahani, J., Kumar, P., Debele, S., Spyrou, C., Loupis, M., Aragão, L., Porcù, F., Shah, M. A. R., and Di Sabatino, S.: Hydro-meteorological risk assessment methods and management by nature-based solutions, Sci. Total Environ., 696, 133936, https://doi.org/10.1016/j.scitotenv.2019.133936, 2019.
Samadi, S., Pourreza-Bilondi, M., Wilson, C. A. M. E., and Hitchcock, D. B.: Bayesian model averaging with fixed and flexible priors: Theory, concepts, and calibration experiments for rainfall-runoff modeling, J. Adv. Model. Earth Syst., 12, e2019MS001924, https://doi.org/10.1029/2019MS001924, 2020.
SCDNR: Boating Guide to the Little Pee Dee Scenic River Water Trail in Dillon County, South Carolina Department of Natural Resources, South Carolina State Library, http://hdl.handle.net/10827/25678 (last access: November 2022), 2009.
SCDNR: Flood Mitigation Program, South Carolina Department of Natural Resources, https://www.dnr.sc.gov/water/flood/ (last access: November 2022), 2020.
SCS: National Engineering Handbook, Section 4, Soil Conservation Service,
U.S. Department of Agriculture, Washington, D.C., https://directives.sc.egov.usda.gov/OpenNonWebContent.aspx?content=18393.wba (last access: 13 July 2023), 1972.
Smith, A. B.: U.S. Billion-dollar Weather and Climate Disasters, 1980–present (NCEI Accession 0209268), NOAA National Centers for Environmental Information [data set], https://doi.org/10.25921/stkw-7w73, 2020.
Soulis, K. X.: Soil Conservation Service Curve Number (SCS-CN) Method: Current Applications, Remaining Challenges, and Future Perspectives, Water, 13, 192, https://doi.org/10.3390/w13020192, 2021.
Stewart, S. R. and Berg, R.: Hurricane Florence, National Hurricane Center,
Tropical Cyclone Report, https://www.nhc.noaa.gov/data/tcr/AL062018_Florence.pdf (last access: 13 July 2023), 2019.
Stone, M. H. and Cohen, S.: The influence of an extended Atlantic hurricane season on inland flooding potential in the southeastern United States, Nat. Hazards Earth Syst. Sci., 17, 439–447, https://doi.org/10.5194/nhess-17-439-2017, 2017.
Tang, Y., Leon, A. S., and Kavvas, M. L.: Impact of Size and Location of
Wetlands on Watershed-Scale Flood Control, Water Resour. Manag.,
34, 1693–1707, https://doi.org/10.1007/s11269-020-02518-3, 2020.
Tedesco, M., McAlpine, S., and Porter, J. R.: Exposure of real estate properties to the 2018 Hurricane Florence flooding, Nat. Hazards Earth Syst. Sci., 20, 907–920, https://doi.org/10.5194/nhess-20-907-2020, 2020.
Teng, J., Jakeman, A. J., Vaze, J., Croke, B. F. W., Dutta, D., and Kim,
S.: Flood inundation modeling: A review of methods, recent advances, and
uncertainty analysis, Environ. Model. Softw., 90, 201–216,
https://doi.org/10.1016/j.envsoft.2017.01.006, 2017.
Thomas, H. and Nisbet, T. R.: An assessment of the impact of floodplain
woodland on flood flows, Water Environ. J., 21, 114–126,
https://doi.org/10.1111/j.1747-6593.2006.00056.x, 2007.
US Army Corps of Engineers: HEC-RAS River Analysis System Hydraulic Reference Manual, Version 5.0, US Army Corps of Engineers, https://www.hec.usace.army.mil/software/hec-ras/documentation/HEC-RAS%205.0%20Reference%20Manual.pdf (last access: 13 July 2023), 2016.
US Army Corps of Engineers: Hydrologic Modeling System HEC-HMS Technical Reference Manual CPD-74B, US Army Corps of Engineers, https://www.hec.usace.army.mil/software/hec-hms/documentation/HEC-HMS_Technical%20Reference%20Manual_(CPD-74B).pdf (last access: 13 July 2023), 2021.
USDA – NRCS: Web Soil Survey, U.S. Department of Agriculture (USDA) [data set], https://websoilsurvey.nrcs.usda.gov/app/WebSoilSurvey.aspx, last access: 13 July 2023.
USGS: National Water Information System, United States Geological Survey, https://waterdata.usgs.gov/nwis (last access: 13 July 2023), 2023.
Williams, T., Song, B., Hitchcock, B., and O'Halloran, T.: Hurricane
Florence Flooding in Georgetown County: A Qualitative Explanation of the
Interactions of Estuary and Tidal River, Journal of South Carolina Water
Resources, 6, 35–49, https://doi.org/10.34068/JSCWR.06.04, 2019.
Williams, T., Song, B., Hitchcock, B., and O'Halloran, T.: Floodplain
Geomorphology and Response to Hurricanes: Lower Pee Dee Basin, South
Carolina. Journal of South Carolina Water Resources, 7, 81–90,
https://doi.org/10.34068/JSCWR.07.06, 2020.
Wing, O. E. J., Sampson, C. C., Bates, P. D., Quinn, N., Smith, A. M., and
Neal, J. C.: A flood inundation forecast of Hurricane Harvey using a
continental-scale 2D hydrodynamic model, J. Hydrol., 4, 100039,
https://doi.org/10.1016/j.hydroa.2019.100039, 2019.
Zhou, X., Ma, W., Echizenya, W., and Yamazaki, D.: The uncertainty of flood frequency analyses in hydrodynamic model simulations, Nat. Hazards Earth Syst. Sci., 21, 1071–1085, https://doi.org/10.5194/nhess-21-1071-2021, 2021.
Short summary
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.
We used an integrated model to evaluate the impacts of nature-based solutions (NBSs) on flood...
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