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Xu, H. (author), Tian, Zhan (author), Sun, Laixiang (author), Ye, Qinghua (author), Ragno, E. (author), Bricker, J.D. (author), Tan, Jinkai (author), Ke, Q. (author), Wang, Shuai (author)
Compound flooding is generated when two or more flood drivers occur simultaneously or in close succession. Multiple drivers can amplify each other and lead to greater impacts than when they occur in isolation. A better understanding of the interdependence between flood drivers would facilitate a more accurate assessment of compound flood risk...
journal article 2022
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Ke, Q. (author), Yin, Jiangshan (author), Bricker, J.D. (author), Savage, Nicholas (author), Buonomo, Erasmo (author), Ye, Qinghua (author), Visser, P.J. (author), Dong, Guangtao (author), Jonkman, Sebastiaan N. (author)
Climate change leads to sea level rise worldwide, as well as increases in the intensity and frequency of tropical cyclones (TCs). Storm surge induced by TC’s, together with spring tides, threatens to cause failure of flood defenses, resulting in massive flooding in low-lying coastal areas. However, limited research has been done on the...
journal article 2021
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Wang, Shuai (author), Toumi, Ralf (author), Ye, Qinghua (author), Ke, Q. (author), Bricker, J.D. (author), Tian, Zhan (author), Sun, Laixiang (author)
It has been shown that the proportion of intense tropical cyclones (TCs) has been increasing together with a poleward migration of TC track. However, their relative importance to TC surge at landfall remains unknown. Here we examine the sensitivity of TC surge in Shanghai to landfall location and intensity with a new dynamical modelling...
journal article 2021
document
Huang, Xinxing (author), Li, Yifan (author), Tian, Zhan (author), Ye, Qinghua (author), Ke, Q. (author), Fan, Dongli (author), Mao, Ganquan (author), Chen, Aifang (author), Liu, Junguo (author)
Efficient and accurate streamflow predictions are important for urban water management. Data-driven models, especially neural network (NN) models can predict streamflow fast, while the results are uncertain in some complex river systems. Physically based models can reveal the underlying physics, but it is relatively slow and computationally...
journal article 2021
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