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    Enhancing Remediation of LNAPL Recovery through a Response-Surface-Based Optimization Approach 

    Source: Journal of Environmental Engineering:;2009:;Volume ( 135 ):;issue: 010
    Author(s): Xiaosheng Qin; Guohe Huang; Hui Yu
    Publisher: American Society of Civil Engineers
    Abstract: Cost-efficient design for remediation of light nonaqueous phase liquids (LNAPL) from subsurface has become an essential task for site managers in North America. Although many related studies were conducted, there was still ...
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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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    Impact of Climate Change on Hydrology and Hydrologic Extremes of Upper Blue Nile River Basin 

    Source: Journal of Water Resources Planning and Management:;2021:;Volume ( 147 ):;issue: 002:;page 04020104
    Author(s): Tebikachew Betru Tariku; Thian Yew Gan; Jianfeng Li; Xiaosheng Qin
    Publisher: ASCE
    Abstract: The potential global warming impact on the extreme and mean streamflow of the Upper Blue Nile (UBN) River Basin was projected for the 2050s and 2080s by three hydrological models [Nedbør-Afstrømnings Model (NAM), Variable ...
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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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    Inexact Chance-Constrained Linear Programming Model for Optimal Water Pollution Management at the Watershed Scale 

    Source: Journal of Water Resources Planning and Management:;2008:;Volume ( 134 ):;issue: 004
    Author(s): Yong Liu; Huaicheng Guo; Feng Zhou; Xiaosheng Qin; Kai Huang; Yajuan Yu
    Publisher: American Society of Civil Engineers
    Abstract: An inexact chance-constrained linear programming (ICCLP) model for optimal water pollution management at the watershed scale was developed. We selected the net expenditures of the alternative strategies, including initial ...
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