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    Nonlinear Expression of Groundwater Head Interval Based on the Perturbation Method

    Source: Journal of Hydrologic Engineering:;2021:;Volume ( 026 ):;issue: 008::page 04021025-1
    Author:
    Guiming Dong
    ,
    Ying Wang
    ,
    Juan Tian
    ,
    Hongbin Zhan
    ,
    Changshen Wang
    ,
    Zhihong Fan
    ,
    Ke Lin
    DOI: 10.1061/(ASCE)HE.1943-5584.0002099
    Publisher: ASCE
    Abstract: An investigation of a groundwater system often requires the prediction of the spatiotemporal distribution of groundwater heads, which determine the groundwater flow direction and magnitude, among other applications. How to quantify the uncertainty of groundwater flow has been an important issue of concern to hydrogeologists for more than 40  years, and many methods based on stochastic and statistical approaches have been proposed to resolve this issue, with considerable progress being made. However, the statistical characteristics of parameters (e.g., hydrogeological parameters, boundaries, and sources/sinks) are often difficult to obtain precisely in practical applications. From a perspective of the interval uncertainty of groundwater, this study proposes a nonlinear expression of the groundwater head interval (GHI) using an interval uncertainty approach to quantify the uncertainty of numerical simulations in groundwater flow. This study uses a steady-state groundwater flow example to analyze the computational effectiveness of the acquired expression of GHI. A comparison of the results with the equal interval continuous sampling method (EICSM) shows that when the changing rate (which is the ratio of the absolute change in the numerical value to the numerical value itself) of a hydrogeological parameter is no more than 0.2, the relative discrepancy of the obtained GHI in this study and EICSM is no more than 5%. When the changing rate is no more than 0.3, such a relative discrepancy can be controlled within approximately 10%. In general, the proposed method is computationally efficient and robust for quantifying GHI. Finally, the method of this study is applied successfully to a real case.
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      Nonlinear Expression of Groundwater Head Interval Based on the Perturbation Method

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4271612
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    contributor authorGuiming Dong
    contributor authorYing Wang
    contributor authorJuan Tian
    contributor authorHongbin Zhan
    contributor authorChangshen Wang
    contributor authorZhihong Fan
    contributor authorKe Lin
    date accessioned2022-02-01T00:32:45Z
    date available2022-02-01T00:32:45Z
    date issued8/1/2021
    identifier other%28ASCE%29HE.1943-5584.0002099.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4271612
    description abstractAn investigation of a groundwater system often requires the prediction of the spatiotemporal distribution of groundwater heads, which determine the groundwater flow direction and magnitude, among other applications. How to quantify the uncertainty of groundwater flow has been an important issue of concern to hydrogeologists for more than 40  years, and many methods based on stochastic and statistical approaches have been proposed to resolve this issue, with considerable progress being made. However, the statistical characteristics of parameters (e.g., hydrogeological parameters, boundaries, and sources/sinks) are often difficult to obtain precisely in practical applications. From a perspective of the interval uncertainty of groundwater, this study proposes a nonlinear expression of the groundwater head interval (GHI) using an interval uncertainty approach to quantify the uncertainty of numerical simulations in groundwater flow. This study uses a steady-state groundwater flow example to analyze the computational effectiveness of the acquired expression of GHI. A comparison of the results with the equal interval continuous sampling method (EICSM) shows that when the changing rate (which is the ratio of the absolute change in the numerical value to the numerical value itself) of a hydrogeological parameter is no more than 0.2, the relative discrepancy of the obtained GHI in this study and EICSM is no more than 5%. When the changing rate is no more than 0.3, such a relative discrepancy can be controlled within approximately 10%. In general, the proposed method is computationally efficient and robust for quantifying GHI. Finally, the method of this study is applied successfully to a real case.
    publisherASCE
    titleNonlinear Expression of Groundwater Head Interval Based on the Perturbation Method
    typeJournal Paper
    journal volume26
    journal issue8
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0002099
    journal fristpage04021025-1
    journal lastpage04021025-15
    page15
    treeJournal of Hydrologic Engineering:;2021:;Volume ( 026 ):;issue: 008
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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