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Zaved Khan, Ataur Rahman and Fazlul Karim
Reducing uncertainty in design flood estimates is an essential part of flood risk planning and management. This study presents results from flood frequency estimates and associated uncertainties for five commonly used probability distribution functions, ...
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Chiharu Mizuki and Yasuhisa Kuzuha
Frequency analysis has long been an important theme of hydrology research. Although meteorological techniques (physical approaches) such as radar nowcasting, remote sensing, and forecasting heavy rainfall events using meteorological simulation models are...
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Swarupa Paudel, Neekita Joshi and Ajay Kalra
Climate change is considered one of the biggest challenges around the globe as it has been causing alterations in hydrological extremes. Climate change and variability have an impact on future streamflow conditions, water quality, and ecological balance,...
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Gianni Vesuviano, Adam Griffin and Elizabeth Stewart
Monsoon-related extreme flood events are experienced regularly across India, bringing costly damage, disruption and death to local communities. This study provides a route towards estimating the likely magnitude of extreme floods (e.g., the 1-in-100-year...
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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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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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Yuki Wakatsuki, Hideaki Nakane and Tempei Hashino
The increasing frequency of devastating floods from heavy rainfall?associated with climate change?has made river stage prediction more important. For steep, forest-covered mountainous watersheds, deep-learning models may improve prediction of river stage...
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Chunlai Qu, Jing Li, Lei Yan, Pengtao Yan, Fang Cheng and Dongyang Lu
Under changing environments, the most widely used non-stationary flood frequency analysis (NFFA) method is the generalized additive models for location, scale and shape (GAMLSS) model. However, the model structure of the GAMLSS model is relatively comple...
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Dariusz Mlynski, Andrzej Walega, Tomasz Stachura and Grzegorz Kaczor
The aim of the work was to develop a new empirical model for calculating the peak annual flows of a given frequency of occurrence (QT) in the ungauged catchments of the upper Vistula basin in Poland. The approach to the regionalization of the catchment a...
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