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    Comparison between Response Surface Models and Artificial Neural Networks in Hydrologic Forecasting 

    Source: Journal of Hydrologic Engineering:;2014:;Volume ( 019 ):;issue: 003
    Author(s): Jianjun Yu; Xiaosheng Qin; Ole Larsen; L. H. C. Chua
    Publisher: American Society of Civil Engineers
    Abstract: Developing an efficient and accurate hydrologic forecasting model is crucial to managing water resources and flooding issues. In this study, response surface (RS) models including multiple linear regression (MLR), quadratic ...
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    Stochastic Optimization Model for Supporting Urban Drainage Design under Complexity 

    Source: Journal of Water Resources Planning and Management:;2017:;Volume ( 143 ):;issue: 009
    Author(s): Jianjun Yu; Xiaosheng Qin; Yee Meng Chiew; Rui Min; Xiling Shen
    Publisher: American Society of Civil Engineers
    Abstract: A stochastic optimization model for urban drainage design (SODD) was proposed in this study to help analyze the trade-off between investment and acceptable flood damage in urban drainage designs considering effects of both ...
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    Observed Extreme Air–Sea Heat Flux Variations during Three Tropical Cyclones in the Tropical Southeastern Indian Ocean 

    Source: Journal of Climate:;2021:;volume( 034 ):;issue: 009:;page 3683
    Author(s): Song, Xiangzhou;Ning, Chunlin;Duan, Yongliang;Wang, Huiwu;Li, Chao;Yang, Yang;Liu, Jianjun;Yu, Weidong
    Publisher: American Meteorological Society
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