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Futo Ueda, Hiroto Tanouchi, Nobuyuki Egusa and Takuya Yoshihiro
River water-level prediction is crucial for mitigating flood damage caused by torrential rainfall. In this paper, we attempt to predict river water levels using a deep learning model based on radar rainfall data instead of data from upstream hydrological...
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Gilbert Hinge, Mohamed A. Hamouda and Mohamed M. Mohamed
In recent years, there has been a growing interest in flood susceptibility modeling. In this study, we conducted a bibliometric analysis followed by a meta-data analysis to capture the nature and evolution of literature, intellectual structure networks, ...
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Nelson Javier Cely Calixto, Alberto Galvis Castaño and Gustavo Adolfo Carrillo Soto
This study proposes a new empirical model for estimating local scour along the base of longitudinal training walls for granular riverbeds. The model?s performance was rigorously assessed through experiments conducted in an open-channel flume, encompassin...
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Jean Cardi, Antony Dussel, Clara Letessier, Isa Ebtehaj, Silvio Jose Gumiere and Hossein Bonakdari
The Ottawa River Watershed is a vast area that stretches across Ontario and Quebec and holds great importance for Canada?s people, economy, and collective history, both in the present and the future. The river has faced numerous floods in recent years du...
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Clara Letessier, Jean Cardi, Antony Dussel, Isa Ebtehaj and Hossein Bonakdari
Given that the primary cause of flooding in Ontario, Canada, is attributed to spring floods, it is crucial to incorporate temperature as an input variable in flood prediction models with machine learning algorithms. This inclusion enables a comprehensive...
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Di Wang and Haizhong Qian
Existing research on automatic river network classification methods has difficulty scientifically quantifying and determining feature threshold settings and evaluating weights when calculating multi-indicator features of the local and overall structures ...
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Dexi Zhan, Yongqi Mu, Wenxu Duan, Mingzhu Ye, Yingqiang Song, Zhenqi Song, Kaizhong Yao, Dengkuo Sun and Ziqi Ding
Soil water content is an important indicator used to maintain the ecological balance of farmland. The efficient spatial prediction of soil water content is crucial for ensuring crop growth and food production. To this end, 104 farmland soil samples were ...
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Sohail Iqbal and Norio Tanaka
A flood protection dike blends seamlessly with natural surroundings. These dikes stand as vital shields, mitigating the catastrophic effects of floods and preserving both communities and ecosystems. Their design not only aids in controlling water flow bu...
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Hadi Rashidi, Mohsen Najarchi and Seyed Mohammad Mirhosseini Hezaveh
Scouring depends on several factors, including the water flow of artificial obstacles, sections, piers, and foundations, the disturbance of bed materials, and soil permeability. The other factors are the non-parallelism between piers and the water flow, ...
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Minhaz Farid Ahmed, Mazlin Bin Mokhtar, Chen Kim Lim, Izzati Afiqah Binti Che Suza, Ku Adriani Ku Ayob, Rd. Puteri Khairani Khirotdin and Nuriah Abd Majid
Malaysia has numerous policies, institutions, and experts with foresight and vision for its development. Nevertheless, river basin management has been lacking due to several factors such as insufficient proactive leadership roles of institutions, as well...
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