Articles | Volume 18, issue 9
https://doi.org/10.5194/nhess-18-2525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-18-2525-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
20 Sep 2018
Research article |
| 20 Sep 2018
| 20 Sep 2018
Effectiveness of low-impact development for urban inundation risk mitigation under different scenarios: a case study in Shenzhen, China
Jiansheng Wu
Key Laboratory for Urban Habitat Environmental Science and Technology,
Shenzhen Graduate School, Peking University, Shenzhen 518055, PR China
Key Laboratory for Earth Surface Processes, Ministry of Education,
College of Urban and Environmental Sciences, Peking University, Beijing
100871, PR China
Rui Yang
Key Laboratory for Urban Habitat Environmental Science and Technology,
Shenzhen Graduate School, Peking University, Shenzhen 518055, PR China
Jing Song
CORRESPONDING AUTHOR
Department of Urban Planning and Design, The University of Hong Kong,
Hong Kong
Shenzhen Institute of Research and Innovation, The University of Hong
Kong, Shenzhen, China
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In this context, our study uses reprocessed monthly remote sensing data as observational references to assess the long-term trends and seasonal variations of simulated data by models in China from 2003 to 2019. Our findings reveal that while the DGVMs generally capture the seasonality of LAI and GPP, there are notable discrepancies in their spatial accuracy. Specifically, our results indicate a tendency to underestimate forested areas, overestimate grasslands, and misrepresent cropland dynamics.
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Recent large-inland-lake outbursts on the Tibetan Plateau: processes, causes, and mechanisms
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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
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Brief communication: Hydrological and hydraulic investigation of the extreme September 2024 flood on the Lamone River in Emilia-Romagna, Italy
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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.
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.
Joshua Dorrington, Marta Wenta, Federico Grazzini, Linus Magnusson, Frederic Vitart, and Christian M. Grams
Nat. Hazards Earth Syst. Sci., 24, 2995–3012, https://doi.org/10.5194/nhess-24-2995-2024, https://doi.org/10.5194/nhess-24-2995-2024, 2024
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Extreme rainfall is the leading weather-related source of damages in Europe, but it is still difficult to predict on long timescales. A recent example of this was the devastating floods in the Italian region of Emiglia Romagna in May 2023. We present perspectives based on large-scale dynamical information that allows us to better understand and predict such events.
Alison L. Kay, Nick Dunstone, Gillian Kay, Victoria A. Bell, and Jamie Hannaford
Nat. Hazards Earth Syst. Sci., 24, 2953–2970, https://doi.org/10.5194/nhess-24-2953-2024, https://doi.org/10.5194/nhess-24-2953-2024, 2024
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Hydrological hazards affect people and ecosystems, but extremes are not fully understood due to limited observations. A large climate ensemble and simple hydrological model are used to assess unprecedented but plausible floods and droughts. The chain gives extreme flows outside the observed range: summer 2022 ~ 28 % lower and autumn 2023 ~ 42 % higher. Spatial dependence and temporal persistence are analysed. Planning for such events could help water supply resilience and flood risk management.
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Botzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
Nat. Hazards Earth Syst. Sci., 24, 2923–2937, https://doi.org/10.5194/nhess-24-2923-2024, https://doi.org/10.5194/nhess-24-2923-2024, 2024
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Our study explored how seasonal flood forecasts could enhance insurance premium accuracy. Insurers traditionally rely on historical data, yet climate fluctuations influence flood risk. We employed a method that predicts seasonal floods to adjust premiums accordingly. Our findings showed significant year-to-year variations in flood risk and premiums, underscoring the importance of adaptability. Despite limitations, this research aids insurers in preparing for evolving risks.
Shahin Khosh Bin Ghomash, Heiko Apel, and Daniel Caviedes-Voullième
Nat. Hazards Earth Syst. Sci., 24, 2857–2874, https://doi.org/10.5194/nhess-24-2857-2024, https://doi.org/10.5194/nhess-24-2857-2024, 2024
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Early warning is essential to minimise the impact of flash floods. We explore the use of highly detailed flood models to simulate the 2021 flood event in the lower Ahr valley (Germany). Using very high-resolution models resolving individual streets and buildings, we produce detailed, quantitative, and actionable information for early flood warning systems. Using state-of-the-art computational technology, these models can guarantee very fast forecasts which allow for sufficient time to respond.
Andrea Betterle and Peter Salamon
Nat. Hazards Earth Syst. Sci., 24, 2817–2836, https://doi.org/10.5194/nhess-24-2817-2024, https://doi.org/10.5194/nhess-24-2817-2024, 2024
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The study proposes a new framework, named FLEXTH, to estimate flood water depth and improve satellite-based flood monitoring using topographical data. FLEXTH is readily available as a computer code, offering a practical and scalable solution for estimating flood depth quickly and systematically over large areas. The methodology can reduce the impacts of floods and enhance emergency response efforts, particularly where resources are limited.
Shahin Khosh Bin Ghomash, Heiko Apel, Kai Schröter, and Max Steinhausen
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-139, https://doi.org/10.5194/nhess-2024-139, 2024
Revised manuscript accepted for NHESS
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This work introduces RIM2D, a hydrodynamic model for precise and rapid flood predictions, ideal for early warning systems. We demonstrate RIM2D's ability to deliver detailed and localized flood forecasts using the June 2023 flood in Braunschweig, Germany, as a case study. This research highlights the readiness of RIM2D and the required hardware for integration into operational flood warning and impact-based forecasting systems.
Francisco Javier Gomez, Keighobad Jafarzadegan, Hamed Moftakhari, and Hamid Moradkhani
Nat. Hazards Earth Syst. Sci., 24, 2647–2665, https://doi.org/10.5194/nhess-24-2647-2024, https://doi.org/10.5194/nhess-24-2647-2024, 2024
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This study utilizes the global copula Bayesian model averaging technique for accurate and reliable flood modeling, especially in coastal regions. By integrating multiple precipitation datasets within this framework, we can effectively address sources of error in each dataset, leading to the generation of probabilistic flood maps. The creation of these probabilistic maps is essential for disaster preparedness and mitigation in densely populated areas susceptible to extreme weather events.
Manuel Grenier, Mathieu Boudreault, David A. Carozza, Jérémie Boudreault, and Sébastien Raymond
Nat. Hazards Earth Syst. Sci., 24, 2577–2595, https://doi.org/10.5194/nhess-24-2577-2024, https://doi.org/10.5194/nhess-24-2577-2024, 2024
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Modelling floods at the street level for large countries like Canada and the United States is difficult and very costly. However, many applications do not necessarily require that level of detail. As a result, we present a flood modelling framework built with artificial intelligence for socioeconomic studies like trend and scenarios analyses. We find for example that an increase of 10 % in average precipitation yields an increase in displaced population of 18 % in Canada and 14 % in the US.
Helge Bormann, Jenny Kebschull, Lidia Gaslikova, and Ralf Weisse
Nat. Hazards Earth Syst. Sci., 24, 2559–2576, https://doi.org/10.5194/nhess-24-2559-2024, https://doi.org/10.5194/nhess-24-2559-2024, 2024
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Inland flooding is threatening coastal lowlands. If rainfall and storm surges coincide, the risk of inland flooding increases. We examine how such compound events are influenced by climate change. Data analysis and model-based scenario analysis show that climate change induces an increasing frequency and intensity of compounding precipitation and storm tide events along the North Sea coast. Overload of inland drainage systems will also increase if no timely adaptation measures are taken.
Yanxia Shen, Zhenduo Zhu, Qi Zhou, and Chunbo Jiang
Nat. Hazards Earth Syst. Sci., 24, 2315–2330, https://doi.org/10.5194/nhess-24-2315-2024, https://doi.org/10.5194/nhess-24-2315-2024, 2024
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We present an improved Multigrid Dynamical Bidirectional Coupled hydrologic–hydrodynamic Model (IM-DBCM) with two major improvements: (1) automated non-uniform mesh generation based on the D-infinity algorithm was implemented to identify flood-prone areas where high-resolution inundation conditions are needed, and (2) ghost cells and bilinear interpolation were implemented to improve numerical accuracy in interpolating variables between the coarse and fine grids. The improved model was reliable.
Taylor Glen Johnson, Jorge Leandro, and Divine Kwaku Ahadzie
Nat. Hazards Earth Syst. Sci., 24, 2285–2302, https://doi.org/10.5194/nhess-24-2285-2024, https://doi.org/10.5194/nhess-24-2285-2024, 2024
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Reliance on infrastructure creates vulnerabilities to disruptions caused by natural hazards. To assess the impacts of natural hazards on the performance of infrastructure, we present a framework for quantifying resilience and develop a model of recovery based upon an application of project scheduling under resource constraints. The resilience framework and recovery model were applied in a case study to assess the resilience of building infrastructure to flooding hazards in Accra, Ghana.
Arnau Amengual, Romu Romero, María Carmen Llasat, Alejandro Hermoso, and Montserrat Llasat-Botija
Nat. Hazards Earth Syst. Sci., 24, 2215–2242, https://doi.org/10.5194/nhess-24-2215-2024, https://doi.org/10.5194/nhess-24-2215-2024, 2024
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On 22 October 2019, the Francolí River basin experienced a heavy precipitation event, resulting in a catastrophic flash flood. Few studies comprehensively address both the physical and human dimensions and their interrelations during extreme flash flooding. This research takes a step forward towards filling this gap in knowledge by examining the alignment among all these factors.
Paul Voit and Maik Heistermann
Nat. Hazards Earth Syst. Sci., 24, 2147–2164, https://doi.org/10.5194/nhess-24-2147-2024, https://doi.org/10.5194/nhess-24-2147-2024, 2024
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To identify flash flood potential in Germany, we shifted the most extreme rainfall events from the last 22 years systematically across Germany and simulated the consequent runoff reaction. Our results show that almost all areas in Germany have not seen the worst-case scenario of flood peaks within the last 22 years. With a slight spatial change of historical rainfall events, flood peaks of a factor of 2 or more would be achieved for most areas. The results can aid disaster risk management.
Günter Blöschl, Andreas Buttinger-Kreuzhuber, Daniel Cornel, Julia Eisl, Michael Hofer, Markus Hollaus, Zsolt Horváth, Jürgen Komma, Artem Konev, Juraj Parajka, Norbert Pfeifer, Andreas Reithofer, José Salinas, Peter Valent, Roman Výleta, Jürgen Waser, Michael H. Wimmer, and Heinz Stiefelmeyer
Nat. Hazards Earth Syst. Sci., 24, 2071–2091, https://doi.org/10.5194/nhess-24-2071-2024, https://doi.org/10.5194/nhess-24-2071-2024, 2024
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A methodology of regional flood hazard mapping is proposed, based on data in Austria, which combines automatic methods with manual interventions to maximise efficiency and to obtain estimation accuracy similar to that of local studies. Flood discharge records from 781 stations are used to estimate flood hazard patterns of a given return period at a resolution of 2 m over a total stream length of 38 000 km. The hazard maps are used for civil protection, risk awareness and insurance purposes.
Christoph Nathanael von Matt, Regula Muelchi, Lukas Gudmundsson, and Olivia Martius
Nat. Hazards Earth Syst. Sci., 24, 1975–2001, https://doi.org/10.5194/nhess-24-1975-2024, https://doi.org/10.5194/nhess-24-1975-2024, 2024
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The simultaneous occurrence of meteorological (precipitation), agricultural (soil moisture), and hydrological (streamflow) drought can lead to augmented impacts. By analysing drought indices derived from the newest climate scenarios for Switzerland (CH2018, Hydro-CH2018), we show that with climate change the concurrence of all drought types will increase in all studied regions of Switzerland. Our results stress the benefits of and need for both mitigation and adaptation measures at early stages.
Melody Gwyneth Whitehead and Mark Stephen Bebbington
Nat. Hazards Earth Syst. Sci., 24, 1929–1935, https://doi.org/10.5194/nhess-24-1929-2024, https://doi.org/10.5194/nhess-24-1929-2024, 2024
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Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Sergiy Vorogushyn, Li Han, Heiko Apel, Viet Dung Nguyen, Björn Guse, Xiaoxiang Guan, Oldrich Rakovec, Husain Najafi, Luis Samaniego, and Bruno Merz
Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2024-97, https://doi.org/10.5194/nhess-2024-97, 2024
Revised manuscript accepted for NHESS
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The July 2021 flood in Central Europe was one of the deadliest floods in Europe in the past decades and the most expensive flood in Germany. In this paper we show that the hydrological impact of this event in the Ahr valley could have been even worse if the rainfall footprint trajectory was only slightly different. The presented methodology of spatial counterfactuals generates plausible unprecedented events and helps better prepare for future extreme floods.
Jan Sodoge, Christian Kuhlicke, Miguel D. Mahecha, and Mariana Madruga de Brito
Nat. Hazards Earth Syst. Sci., 24, 1757–1777, https://doi.org/10.5194/nhess-24-1757-2024, https://doi.org/10.5194/nhess-24-1757-2024, 2024
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We delved into the socio-economic impacts of the 2018–2022 drought in Germany. We derived a dataset covering the impacts of droughts in Germany between 2000 and 2022 on sectors such as agriculture and forestry based on newspaper articles. Notably, our study illustrated that the longer drought had a wider reach and more varied effects. We show that dealing with longer droughts requires different plans compared to shorter ones, and it is crucial to be ready for the challenges they bring.
Mario Di Bacco, Daniela Molinari, and Anna Rita Scorzini
Nat. Hazards Earth Syst. Sci., 24, 1681–1696, https://doi.org/10.5194/nhess-24-1681-2024, https://doi.org/10.5194/nhess-24-1681-2024, 2024
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INSYDE 2.0 is a tool for modelling flood damage to residential buildings. By incorporating ultra-detailed survey and desk-based data, it improves the reliability and informativeness of damage assessments while addressing input data uncertainties.
Cited articles
Abbot, C. L. and Comino-Mateos, L.: In-situ hydraulic performance of a
permeable pavement sustainable urban drainage system, J. Chart. Inst. Water
E., 17, 187–190, 2003.
Ahiablame, L. and Shakya, R.: Modeling flood reduction effects of low impact
development at a watershed scale, J. Environ. Manage., 171, 81–91,
https://doi.org/10.1016/j.jenvman.2016.01.036, 2016.
Ahiablame, L. M., Engel, B. A., and Chaubey, I.: Effectiveness of Low Impact
Development Practices: Literature Review and Suggestions for Future Research,
Water Air Soil Poll., 223, 4253–4273, https://doi.org/10.1007/s11270-012-1189-2, 2012.
Ahiablame, L. M., Engel, B. A., and Chaubey, I.: Effectiveness of low impact
development practices in two urbanized watersheds: retrofitting with rain
barrel/cistern and porous pavement, J. Environ. Manage., 119, 151–161,
https://doi.org/10.1016/j.jenvman.2013.01.019, 2013.
Arnold, C. L. and Gibbons, C.J.: Impervious surface coverage – The emergence
of a key environmental indicator, J. Am. Plann. Assoc., 62, 243–258,
https://doi.org/10.1080/01944369608975688, 1996.
Beckers, A., Dewals, B., Erpicum, S., Dujardin, S., Detrembleur, S., Teller,
J., Pirotton, M., and Archambeau, P.: Contribution of land use changes to
future flood damage along the river Meuse in the Walloon region, Nat. Hazards
Earth Syst. Sci., 13, 2301–2318, https://doi.org/10.5194/nhess-13-2301-2013,
2013.
Berndtsson, J. C.: Green roof performance towards management of runoff water
quantity and quality: A review, Ecol. Eng., 36, 351–360,
https://doi.org/10.1016/j.ecoleng.2009.12.014, 2010.
Bhattarai, R., Yoshimura, K., Seto, S., Nakamura, S., and Oki, T.:
Statistical model for economic damage from pluvial floods in Japan using
rainfall data and socioeconomic parameters, Nat. Hazards Earth Syst. Sci.,
16, 1063–1077, https://doi.org/10.5194/nhess-16-1063-2016, 2016.
Bliss, D. J., Neufeld, R. D., and Ries, R. J.: Storm Water Runoff Mitigation
Using a Green Roof, Environ. Eng. Sci., 26, 407–417,
https://doi.org/10.1089/ees.2007.0186, 2009.
Burns, M. J., Schubert, J. E., Fletcher, T. D., and Sanders, B. F.: Testing
the impact of at-source stormwater management on urban flooding through a
coupling of network and overland flow models, Wiley Interdiscip. Rev.-Water,
2, 291–300, https://doi.org/10.1002/wat2.1078, 2015.
Chui, T. F. M., Liu, X., and Zhan, W.: Assessing cost-effectiveness of
specific LID practice designs in response to large storm events, J. Hydrol.,
533, 353–364, https://doi.org/10.1016/j.jhydrol.2015.12.011, 2016.
Claessens, L., Hopkinson, C., Rastetter, E., and Vallino, J.: Effect of
historical changes in land use and climate on the water budget of an
urbanizing watershed, Water Resour. Res., 42, 446–455,
https://doi.org/10.1029/2005wr004131, 2006.
Damodaram, C., Giacomoni, M. H., Prakash Khedun, C., Holmes, H., Ryan, A.,
Saour, W., and Zechman, E. M.: Simulation of Combined Best Management
Practices and Low Impact Development for Sustainable Stormwater Management,
J. Am. Water Resour. As., 46, 907–918,
https://doi.org/10.1111/j.1752-1688.2010.00462.x, 2010.
Davis, A. P.: Field performance of bioretention: Hydrology impacts, J.
Hydrol. Eng., 13, 90–95, https://doi.org/10.1061/(asce)1084-0699(2008)13:2(90), 2008.
Davis, A. P., Traver, R. G., Hunt, W. F., Lee, R., Brown, R. A., and
Olszewski, J. M.: Hydrologic Performance of Bioretention Storm-Water Control
Measures, J. Hydrol. Eng., 17, 604–614,
https://doi.org/10.1061/(asce)he.1943-5584.0000467, 2012.
Dietz, M. E.: Low Impact Development Practices: A Review of Current Research
and Recommendations for Future Directions, Water Air Soil Pollut., 186,
351–363, https://doi.org/10.1007/s11270-007-9484-z, 2007.
Dietz, M. E. and Clausen, J. C.: Stormwater runoff and export changes with
development in a traditional and low impact subdivision, J. Environ. Manage.,
87, 560–566, https://doi.org/10.1016/j.jenvman.2007.03.026, 2008.
Dreelin, E. A., Fowler, L., and Ronald Carroll, C.: A test of porous pavement
effectiveness on clay soils during natural storm events, Water Res., 40,
799–805, https://doi.org/10.1016/j.watres.2005.12.002, 2006.
EPA: Low impact development (LID), A literature review, EPA-841-B-00e005,
Office of Water, Washington, DC, 2000.
Fassman, E. A. and Blackbourn, S.: Urban Runoff Mitigation by a Permeable
Pavement System over Impermeable Soils, J. Hydrol. Eng., 15, 475–485,
https://doi.org/10.1061/(asce)he.1943-5584.0000238, 2010.
Fewtrell, T. J., Neal, J. C., Bates, P. D., and Harrison, P. J.: Geometric
and structural river channel complexity and the prediction of urban
inundation, Hydrol. Process., 25, 3173–3186, https://doi.org/10.1002/hyp.8035, 2011.
Giacomoni, M. H. and Joseph, J.: Multi-Objective Evolutionary Optimization
and Monte Carlo Simulation for Placement of Low Impact Development in the
Catchment Scale, J. Water Resour. Plan. Manage.-ASCE, 143, 15,
https://doi.org/10.1061/(asce)wr.1943-5452.0000812, 2017.
Hao, L., Sun, G., Liu, Y., Wan, J., Qin, M., Qian, H., Liu, C., Zheng, J.,
John, R., Fan, P., and Chen, J.: Urbanization dramatically altered the water
balances of a paddy field-dominated basin in southern China, Hydrol. Earth
Syst. Sci., 19, 3319–3331, https://doi.org/10.5194/hess-19-3319-2015, 2015.
Hatt, B. E., Fletcher, T. D., Walsh, C. J., and Taylor, S. L.: The influence
of urban density and drainage infrastructure on the concentrations and loads
of pollutants in small streams, Environ. Manage., 34, 112–124,
https://doi.org/10.1007/s00267-004-0221-8, 2004.
Hood, M. J., Clausen, J. C., and Warner, G. S.: Comparison of stormwater lag
times for low impact and traditional residential development, J. Am. Water
Resour. As., 43, 1036–1046, https://doi.org/10.1111/j.1752-1688.2007.00085.x, 2007.
Hu, M., Sayama, T., Zhang, X., Tanaka, K., Takara, K., and Yang, H.:
Evaluation of low impact development approach for mitigating flood inundation
at a watershed scale in China, J. Environ. Manage., 193, 430–438,
https://doi.org/10.1016/j.jenvman.2017.02.020, 2017.
Hunt, W. F., Traver, R. G., Davis, A. P., Emerson, C. H., Collins, K. A., and
Stagge, J. H.: Low Impact Development Practices: Designing to Infiltrate in
Urban Environments, in: Effects of Urbanization on Groundwater, edited by:
Ni-Bin, C., American Society of Civil Engineers, Reston, VA, USA, 308–343,
2010.
Huong, H. T. L. and Pathirana, A.: Urbanization and climate change impacts on
future urban flooding in Can Tho city, Vietnam, Hydrol. Earth Syst. Sci., 17,
379–394, https://doi.org/10.5194/hess-17-379-2013, 2013.
Jacobson, C. R.: Identification and quantification of the hydrological
impacts of imperviousness in urban catchments: a review, J. Environ. Manage.,
92, 1438–1448, https://doi.org/10.1016/j.jenvman.2011.01.018, 2011.
Kim, H. W. and Park, Y.: Urban green infrastructure and local flooding: The
impact of landscape patterns on peak runoff in four Texas MSAs, Appl. Geogr.,
77, 72–81, https://doi.org/10.1016/j.apgeog.2016.10.008, 2016.
Kong, F. H., Ban, Y. L., Yin, H. W., James, P., and Dronova, I.: Modeling
stormwater management at the city district level in response to changes in
land use and low impact development, Environ. Modell. Softw., 95, 132–142,
https://doi.org/10.1016/j.envsoft.2017.06.021, 2017.
Leopold, L. B., Wolman, M. G., and Miller, J. P.: Fluvial Processes in
Geomorphology, Geographical J., 131, 1995.
Liu, Y., Ahiablame, L. M., Bralts, V. F., and Engel, B. A.: Enhancing a
rainfall-runoff model to assess the impacts of BMPs and LID practices on
storm runoff, J. Environ. Manage., 147, 12–23,
https://doi.org/10.1016/j.jenvman.2014.09.005, 2015.
Lowe, R., Urich, C., Domingo, N. S., Mark, O., Deletic, A., and
Arnbjerg-Nielsen, K.: Assessment of urban pluvial flood risk and efficiency
of adaptation options through simulations – A new generation of urban
planning tools, J. Hydrol., 550, 355–367,
https://doi.org/10.1016/j.jhydrol.2017.05.009, 2017.
Luan, Q., Fu, X., Song, C., Wang, H., Liu, J., and Wang, Y.: Runoff Effect
Evaluation of LID through SWMM in Typical Mountainous, Low-Lying Urban Areas:
A Case Study in China, Water, 9, 439, https://doi.org/10.3390/w9060439, 2017.
Mao, X., Jia, H., and Yu, S. L.: Assessing the ecological benefits of
aggregate LID-BMPs through modelling, Ecol. Model., 353, 139–149,
https://doi.org/10.1016/j.ecolmodel.2016.10.018, 2017.
Meyer, M. J. P. A. J. L.: Streams in the urban landscape, Annu. Rev. Ecol.
Syst., 32, 333–365, https://doi.org/10.1146/annurev.ecolsys.32.081501.114040, 2001.
Morsy, M. M., Goodall, J. L., Shatnawi, F. M., and Meadows, M. E.:
Distributed Stormwater Controls for Flood Mitigation within Urbanized
Watersheds: Case Study of Rocky Branch Watershed in Columbia, South Carolina,
J. Hydrol. Eng., 21, 05016025, https://doi.org/10.1061/(asce)he.1943-5584.0001430,
2016.
Palla, A. and Gnecco, I.: Hydrologic modeling of Low Impact Development
systems at the urban catchment scale, J. Hydrol., 528, 361–368,
https://doi.org/10.1016/j.jhydrol.2015.06.050, 2015.
Qin, H. P., Li, Z. X., and Fu, G.: The effects of low impact development on
urban flooding under different rainfall characteristics, J. Environ. Manage.,
129, 577–585, https://doi.org/10.1016/j.jenvman.2013.08.026, 2013.
Rose, S. and Peters, N. E.: Effects of urbanization on streamflow in the
Atlanta area (Georgia, USA): a comparative hydrological approach, Hydrol.
Process., 15, 1441–1457, https://doi.org/10.1002/hyp.218, 2001.
Rossman, L. A.: Storm water management model user's manual version 5.0, U.S.
Environmental Protection Agency, Washington, DC, EPA/600/R-05040, 2010.
Roy, A. H., Wenger, S. J., Fletcher, T. D., Walsh, C. J., Ladson, A. R.,
Shuster, W. D., Thurston, H. W., and Brown, R. R.: Impediments and solutions
to sustainable, watershed-scale urban stormwater management: lessons from
Australia and the United States, Environ. Manage., 42, 344–359,
https://doi.org/10.1007/s00267-008-9119-1, 2008.
Russo, B., Sunyer, D., Velasco, M., and Djordjevic, S.: Analysis of extreme
flooding events through a calibrated 1D/2D coupled model: the case of
Barcelona (Spain), J. Hydroinform., 17, 473–491,
https://doi.org/10.2166/hydro.2014.063, 2015.
Salvadore, E., Bronders, J., and Batelaan, O.: Hydrological modelling of
urbanized catchments: A review and future directions, J. Hydrol., 529,
62–81, https://doi.org/10.1016/j.jhydrol.2015.06.028, 2015.
Sang, Y.-F. and Yang, M.: Urban waterlogs control in China: more effective
strategies and actions are needed, Nat. Haz., 85, 1291–1294,
https://doi.org/10.1007/s11069-016-2614-4, 2016.
Seyoum, S. D., Vojinovic, Z., Price, R. K., and Weesakul, S.: Coupled 1D and
Noninertia 2D Flood Inundation Model for Simulation of Urban Flooding, J.
Hydraul. Eng.-Asce, 138, 23–34, https://doi.org/10.1061/(asce)hy.1943-7900.0000485,
2012.
Son, A.-L., Kim, B., and Han, K.-Y.: A Simple and Robust Method for
Simultaneous Consideration of Overland and Underground Space in Urban Flood
Modeling, Water, 8, 494, https://doi.org/10.3390/w8110494, 2016.
Su, B., Huang, H., and Li, Y.: Integrated simulation method for waterlogging
and traffic congestion under urban rainstorms, Nat. Haz., 81, 23–40,
https://doi.org/10.1007/s11069-015-2064-4, 2016.
Trinh, D. H. and Chui, T. F. M.: Assessing the hydrologic restoration of an
urbanized area via an integrated distributed hydrological model, Hydrol.
Earth Syst. Sci., 17, 4789–4801, https://doi.org/10.5194/hess-17-4789-2013,
2013.
U.S. Department of Housing, and Urban Development: The practice of low impact
development, Contract No. H-21314CA, Office of Policy Development and
Research, NAHB Research Center, Washington, DC, 2003.
Wu, J. Y., Thompson, J. R., Kolka, R. K., Franz, K. J., and Stewart, T. W.:
Using the Storm Water Management Model to predict urban headwater stream
hydrological response to climate and land cover change, Hydrol. Earth Syst.
Sci., 17, 4743–4758, https://doi.org/10.5194/hess-17-4743-2013, 2013.
Wu, X., Wang, Z., Guo, S., Liao, W., Zeng, Z., and Chen, X.: Scenario-based
projections of future urban inundation within a coupled hydrodynamic model
framework: A case study in Dongguan City, China, J. Hydrology, 547, 428–442,
https://doi.org/10.1016/j.jhydrol.2017.02.020, 2017.
Xia, J., Zhang, Y., Xiong, L., He, S., Wang, L., and Yu, Z.: Opportunities
and challenges of the Sponge City construction related to urban water issues
in China, Sci. China Earth Sci., 60, 652–658,
https://doi.org/10.1007/s11430-016-0111-8, 2017.
Zahmatkesh, Z., Burian, S. J., Karamouz, M., Tavakol-Davani, H., and
Goharian, E.: Low-Impact Development Practices to Mitigate Climate Change
Effects on Urban Stormwater Runoff: Case Study of New York City, J. Irrig.
Drain. E., 141, 04014043, https://doi.org/10.1061/(asce)ir.1943-4774.0000770, 2015a.
Zahmatkesh, Z., Karamouz, M., Goharian, E., and Burian, S. J.: Analysis of
the Effects of Climate Change on Urban Storm Water Runoff Using Statistically
Downscaled Precipitation Data and a Change Factor Approach, J. Hydrol. Eng.,
20, 05014022, https://doi.org/10.1061/(asce)he.1943-5584.0001064, 2015b.
Zhang, X., Guo, X., and Hu, M.: Hydrological effect of typical low impact
development approaches in a residential district, Nat. Haz., 80, 389–400,
https://doi.org/10.1007/s11069-015-1974-5, 2016.
Zhu, Z., Chen, Z., Chen, X., and He, P.: Approach for evaluating inundation
risks in urban drainage systems, Sci. Total Environ., 553, 1–12,
https://doi.org/10.1016/j.scitotenv.2016.02.025, 2016.
Short summary
Our study builds a 2-D model at an urbanized watershed, and the results indicate that permeable pavement and green roofs are good strategies for urban
inundation mitigation. What is more, we also find the best combination of permeable pavement and green roofs for local areas, considering both effectiveness
and cost. This study enriches the inundation mitigation research on an urban watershed scale and provides some references to urban storm water management
and inundation mitigation.
Our study builds a 2-D model at an urbanized watershed, and the results indicate that permeable...
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