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Yuan, Jiao (author), Zheng, Feifei (author), Duan, Huan Feng (author), Deng, Zhengzhi (author), Kapelan, Z. (author), Savic, Dragan (author), Shao, Tan (author), Huang, Wei Min (author), Zhao, Tongtiegang (author), Chen, Xiaohong (author)
Low-lying coastal cities are vulnerable to compound floods caused by many factors including river flows, tides and local rainfall. Many previous studies focus on the impacts of rainfall and tidal levels (two driving factors) on estuaries or regions near the main single river, while research about the three influencing factors on the floods...
journal article 2024
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Wei, Ziyi (author), Huang, Kai (author), Chen, Ying (author), Wang, D. (author), Yu, Yajuan (author), Xu, Ming (author), Kapelan, Z. (author)
To alleviate the geographical mismatch between supply and demand of water resources, virtual water trade had attracted extensive attention. Many studies had estimated the virtual water flow and measured the virtual water inequality using Environmental Input-Output (EIO) model. However, EIO model ignores the feedback effect in the trade, which...
journal article 2023
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Piadeh, Farzad (author), Behzadian, Kourosh (author), Chen, Albert S. (author), Campos, Luiza C. (author), Rizzuto, Joseph P. (author), Kapelan, Z. (author)
Urban flooding is a major problem for cities around the world, with significant socio-economic consequences. Conventional real-time flood forecasting models rely on continuous time-series data and often have limited accuracy, especially for longer lead times than 2 hrs. This study proposes a novel event-based decision support algorithm for...
journal article 2023
document
Piadeh, Farzad (author), Behzadian, Kourosh (author), Chen, Albert S. (author), Kapelan, Z. (author), Rizzuto, Joseph P. (author), Campos, Luiza C. (author)
This study presents a novel approach for urban flood forecasting in drainage systems using a dynamic ensemble-based data mining model which has yet to be utilised properly in this context. The proposed method incorporates an event identification technique and rainfall feature extraction to develop weak learner data mining models. These models...
journal article 2023
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Zhang, Qingzhou (author), Zheng, Feifei (author), Chen, Qiuwen (author), Kapelan, Z. (author), Diao, Kegong (author), Zhang, Kejia (author), Huang, Yuan (author)
Improving the resilience of water distribution systems (WDSs) to handle natural disasters (e.g., earthquakes) is a critical step toward sustainable urban water management. This requires the water utility to be able to respond quickly to such disaster events, and in an organized manner, to prioritize the use of available resources to restore...
journal article 2020
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