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Alissa Flatley and Ian Rutherfurd
Arid and semi-arid regions typically lack high-resolution river gauging data causing difficulties in understanding rainfall-runoff patterns. A common predictive method for discharge estimation within ungauged catchments is regional flood frequency estima...
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Amir Zalnezhad, Ataur Rahman, Nastaran Nasiri, Mehdi Vafakhah, Bijan Samali and Farhad Ahamed
Design flood estimations at ungauged catchments are a challenging task in hydrology. Regional flood frequency analysis (RFFA) is widely used for this purpose. This paper develops artificial intelligence (AI)-based RFFA models (artificial neural networks ...
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Francesca Aureli, Paolo Mignosa, Federico Prost and Susanna Dazzi
Flood hazard is assessed for a watershed with scarce hydrological data in the lower plain of Northern Italy, where the current defense system is inadequate to protect a highly populated urban area located at a river confluence and crossed by numerous bri...
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Kossi Komi, Barnabas A. Amisigo, Bernd Diekkrüger and Fabien C. C. Hountondji
In the Volta River Basin, flooding has been one of the most damaging natural hazards during the last few decades. Therefore, flood frequency estimates are important for disaster risk management. This study aims at improving knowledge of flood frequencies...
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Tarekegn Dejen Mengistu, Tolera Abdisa Feyissa, Il-Moon Chung, Sun Woo Chang, Mamuye Busier Yesuf and Esayas Alemayehu
Regional information on stream discharge is needed in order to improve flood estimates based on the limited data availability. Regional flood estimation is fundamental for designing hydraulic structures and managing flood plains and water resource projec...
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Kossi Komi, Barnabas A. Amisigo, Bernd Diekkrüger and Fabien C. C. Hountondji
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Yash Amonkar, James Doss-Gollin and Upmanu Lall
The potential for extreme climate events to cluster in space and time has driven increased interest in understanding and predicting compound climate risks. Through a case study on floods in the Ohio River Basin, we demonstrated that low-frequency climate...
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Jinghan Zhang, Xiaopei Ju, Sheng Wang, Fengping Li and Ziyue Zhao
Global warming substantially intensifies hydrologic cycles, causing increasing frequency and magnitude of catastrophic floods and droughts. Understanding the patterns and mechanisms of precipitation in historical periods is pivotal for regional disaster ...
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Soumaya Nabih, Ourania Tzoraki, Prodromos Zanis, Thanos Tsikerdekis, Dimitris Akritidis, Ioannis Kontogeorgos and Lahcen Benaabidate
Climate change projections predict the increase of no-rain periods and storm intensity resulting in high hydrologic alteration of the Mediterranean rivers. Intermittent flow Rivers and Ephemeral Streams (IRES) are particularly vulnerable to spatiotempora...
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David R. Judi, Cynthia L. Rakowski, Scott R. Waichler, Youcan Feng and Mark S. Wigmosta
Flooding is a prevalent natural disaster with both short and long-term social, economic, and infrastructure impacts. Changes in intensity and frequency of precipitation (including rain, snow, and rain-on-snow) events create challenges for the planning an...
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Luis Orsini-Zegada,Carlos Agustín Escalante-Sandoval
Pág. 299 - 309
The design flow is the basis for planning and designing different hydraulic works. The precision in estimated flows is important when analyzing the feasibility of such structures because the value directly influences the evaluation of the failure effects...
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Erik Kralj, Peter Kumer and Cécil J. W. Meulenberg
The escalating frequency and severity of climate-related hazards in the Mediterranean, particularly in the historic town of Piran, Slovenia, underscore the critical need for enhanced coastal flood prediction and efficient early warning systems. This stud...
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Feng Huang, Bo Yan, Xiao Zhang, Dayong Zhao, Lidan Guo, Yuankun Wang and Ziqiang Xia
Impacted by ongoing climate change and anthropogenic activities, large seasonal lakes experience water regime evolution, which raises challenges for the management of water resources and environment. The water regime evolution refers to the spatial and t...
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Huanghe Gu, Zhongbo Yu, Chuanguo Yang and Qin Ju
This paper estimates the likely impacts of future climate change on streamflow, especially the hydrological extremes over the Yangtze River basin. The future climate was projected by the Coordinated Regional Climate Downscaling Experiment in East Asia (C...
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Dehua Zhu, Samiran Das, Qiwei Ren
Pág. 1 - 18
Assessing the impact of climate change on streamflow is critical to understanding the changes to water resources and to improve water resource management. The use of hydrological models is a common practice to quantify and assess water resources in such ...
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Tiezhu Yan and Zhenyao Shen, Jianwen Bai
Pág. 1 - 15
With the influence of global climate warming, the responses of regional hydroclimatic variables to climate change are of great importance for water resource planning and management. The evolution of precipitation, mean temperature, and runoff at differen...
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Marie Parrens, Ahmad Al Bitar, Frédéric Frappart, Fabrice Papa, Stephane Calmant, Jean-François Crétaux, Jean-Pierre Wigneron and Yann Kerr
Inland surface waters in tropical environments play a major role in the water and carbon cycle. Remote sensing techniques based on passive, active microwave or optical wavelengths are commonly used to provide quantitative estimates of surface water exten...
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Dehua Zhu, Samiran Das and Qiwei Ren
Assessing the impact of climate change on streamflow is critical to understanding the changes to water resources and to improve water resource management. The use of hydrological models is a common practice to quantify and assess water resources in such ...
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Marie Parrens, Ahmad Al Bitar, Frédéric Frappart, Fabrice Papa, Stephane Calmant, Jean-François Crétaux, Jean-Pierre Wigneron, Yann Kerr
Pág. 1 - 26
Inland surface waters in tropical environments play a major role in the water and carbon cycle. Remote sensing techniques based on passive, active microwave or optical wavelengths are commonly used to provide quantitative estimates of surface water exten...
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Soojin Moon, Boosik Kang
Pág. 1 - 22
For reliable prediction of sediment yield in a watershed, fine-scale projections for hydro-climate components were first obtained using the statistical bias correction and downscaling scheme based on the combination of an Artificial Neural Network (ANN),...
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