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    Combined Impacts of Land Use and Climate Change in the Modeling of Future Groundwater Vulnerability

    Source: Journal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 007
    Author:
    Lu Huang
    ,
    Guangming Zeng
    ,
    Jie Liang
    ,
    Shanshan Hua
    ,
    Yujie Yuan
    ,
    Xiaodong Li
    ,
    Haoran Dong
    ,
    Jiayu Liu
    ,
    Shuang Nie
    ,
    Junfeng Liu
    DOI: 10.1061/(ASCE)HE.1943-5584.0001493
    Publisher: American Society of Civil Engineers
    Abstract: Groundwater vulnerability assessment delineating areas that are susceptible to contamination from future scenarios has aroused worldwide attention. In this study, the authors (1) estimate future groundwater vulnerability in Hunan province, China, under urban-related land-use change and climate change scenarios; and (2) analyze the importance of related parameters to future groundwater vulnerability. The DRASTIC model [including seven parameters: depth to water table (D), net recharge (R), aquifer type (A), soil type (S), topography (T), impact of vadose zone (I) and conductivity (C)] together with an extra parameter, land-use patterns, was used to generate the map of groundwater vulnerability in future scenarios. The results indicated that vulnerability classes had an increasing trend from low to high vulnerability in the future scenarios. Hunan province may face high groundwater pollution risk in the future. The sensitivity analysis indicated that the depth-to-water table may be the dominant factor, and the land-use pattern was the most sensitive parameter on the predicted future groundwater vulnerability in Hunan province. Decision makers should identify the potential future groundwater vulnerability and take early steps to protect groundwater resources.
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      Combined Impacts of Land Use and Climate Change in the Modeling of Future Groundwater Vulnerability

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4239252
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    contributor authorLu Huang
    contributor authorGuangming Zeng
    contributor authorJie Liang
    contributor authorShanshan Hua
    contributor authorYujie Yuan
    contributor authorXiaodong Li
    contributor authorHaoran Dong
    contributor authorJiayu Liu
    contributor authorShuang Nie
    contributor authorJunfeng Liu
    date accessioned2017-12-16T09:09:09Z
    date available2017-12-16T09:09:09Z
    date issued2017
    identifier other%28ASCE%29HE.1943-5584.0001493.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4239252
    description abstractGroundwater vulnerability assessment delineating areas that are susceptible to contamination from future scenarios has aroused worldwide attention. In this study, the authors (1) estimate future groundwater vulnerability in Hunan province, China, under urban-related land-use change and climate change scenarios; and (2) analyze the importance of related parameters to future groundwater vulnerability. The DRASTIC model [including seven parameters: depth to water table (D), net recharge (R), aquifer type (A), soil type (S), topography (T), impact of vadose zone (I) and conductivity (C)] together with an extra parameter, land-use patterns, was used to generate the map of groundwater vulnerability in future scenarios. The results indicated that vulnerability classes had an increasing trend from low to high vulnerability in the future scenarios. Hunan province may face high groundwater pollution risk in the future. The sensitivity analysis indicated that the depth-to-water table may be the dominant factor, and the land-use pattern was the most sensitive parameter on the predicted future groundwater vulnerability in Hunan province. Decision makers should identify the potential future groundwater vulnerability and take early steps to protect groundwater resources.
    publisherAmerican Society of Civil Engineers
    titleCombined Impacts of Land Use and Climate Change in the Modeling of Future Groundwater Vulnerability
    typeJournal Paper
    journal volume22
    journal issue7
    journal titleJournal of Hydrologic Engineering
    identifier doi10.1061/(ASCE)HE.1943-5584.0001493
    treeJournal of Hydrologic Engineering:;2017:;Volume ( 022 ):;issue: 007
    contenttypeFulltext
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