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    Combined Numerical Simulation and Groundwater Depletion Sensitivity Analysis for Dynamic Pumping Management

    Source: Journal of Water Resources Planning and Management:;2022:;Volume ( 148 ):;issue: 003::page 04022002
    Author:
    Dong-Sin Shih
    ,
    Yung-Chia Chiu
    ,
    Kai Wang
    DOI: 10.1061/(ASCE)WR.1943-5452.0001530
    Publisher: ASCE
    Abstract: The economy continues to grow in Taiwan, and water demand from both households and industry has also continued to increase, which has led to water scarcity problems rising throughout the island. Thus, groundwater plays an essential role as a backup to supplement water resources. Considering that overpumping might lead to groundwater depletion, land subsidence, and even water quality issues, drawing up a more efficient strategy for groundwater management is necessary. This study proposes a dynamic adjusting pumping rate based on the exceedance probability of the historical groundwater table and the regional sensitivity of the pumping rate. The sensitivity of regional groundwater depletion was calculated by solving a Jacobian matrix composed of various pumping scenarios from numerical simulations. The coastal region of the Taichung City of Taiwan was selected as the study site to test our method. The result indicated that the groundwater table drawdown affected by pumping was reduced from 3.0 to 0.17 m in the 2015 dry season. During the period, groundwater of approximately 750,000 t was provided. Similarly, 350,000 t of groundwater resources and only a 0.09 m drawdown were accomplished in the 2016 wet season. Thus, this study proposed a groundwater dynamic management rule based on the current water level that effectively improves the efficiency of using groundwater resources.
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      Combined Numerical Simulation and Groundwater Depletion Sensitivity Analysis for Dynamic Pumping Management

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4282641
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    contributor authorDong-Sin Shih
    contributor authorYung-Chia Chiu
    contributor authorKai Wang
    date accessioned2022-05-07T20:35:12Z
    date available2022-05-07T20:35:12Z
    date issued2022-01-13
    identifier other(ASCE)WR.1943-5452.0001530.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4282641
    description abstractThe economy continues to grow in Taiwan, and water demand from both households and industry has also continued to increase, which has led to water scarcity problems rising throughout the island. Thus, groundwater plays an essential role as a backup to supplement water resources. Considering that overpumping might lead to groundwater depletion, land subsidence, and even water quality issues, drawing up a more efficient strategy for groundwater management is necessary. This study proposes a dynamic adjusting pumping rate based on the exceedance probability of the historical groundwater table and the regional sensitivity of the pumping rate. The sensitivity of regional groundwater depletion was calculated by solving a Jacobian matrix composed of various pumping scenarios from numerical simulations. The coastal region of the Taichung City of Taiwan was selected as the study site to test our method. The result indicated that the groundwater table drawdown affected by pumping was reduced from 3.0 to 0.17 m in the 2015 dry season. During the period, groundwater of approximately 750,000 t was provided. Similarly, 350,000 t of groundwater resources and only a 0.09 m drawdown were accomplished in the 2016 wet season. Thus, this study proposed a groundwater dynamic management rule based on the current water level that effectively improves the efficiency of using groundwater resources.
    publisherASCE
    titleCombined Numerical Simulation and Groundwater Depletion Sensitivity Analysis for Dynamic Pumping Management
    typeJournal Paper
    journal volume148
    journal issue3
    journal titleJournal of Water Resources Planning and Management
    identifier doi10.1061/(ASCE)WR.1943-5452.0001530
    journal fristpage04022002
    journal lastpage04022002-14
    page14
    treeJournal of Water Resources Planning and Management:;2022:;Volume ( 148 ):;issue: 003
    contenttypeFulltext
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