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Construction and Application of a Groundwater Overload Evaluation System Based on the PSR Model

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  • Jing Gao

    (School of Water and Environment, Chang’an University, 126 Yanta Road, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, 126 Yanta Road, Xi’an 710054, China
    Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Weibo Zhou

    (School of Water and Environment, Chang’an University, 126 Yanta Road, Xi’an 710054, China
    Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang’an University, 126 Yanta Road, Xi’an 710054, China)

  • Shuwu Li

    (Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Changhu Li

    (Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Qun Wang

    (Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Zhengzheng Li

    (Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Haiyun Chen

    (Northwest Engineering Corporation Limited of Power China, Xi’an 710065, China)

  • Tingyu Zhang

    (Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi’an 710075, China)

Abstract

Groundwater assessment has several technical deficiencies, especially because the decision-making platform for basic data collection, analysis, and evaluation has not been established. Based on the computer architecture theory and business processing logic, we designed a set of groundwater resource overload evaluation systems using the ArcGIS platform and Python language based on the comprehensive analysis of many research schemes. According to the pressure–state–response (PSR) theoretical programming model, the system pre-sets the evaluation index from three aspects: overexploitation, bearing capacity, and overload. The entropy weight method was used to determine the factor weight. The system was used to evaluate and analyze the groundwater overload in Xi’an, and the performance and accuracy of the system were also verified. The results showed that the serious overload area of groundwater in Xi’an was located in the alluvial fan area of Yanliang District, Gaoling District, and Huyi District, and the alluvial fan area of Lintong District, City Six Districts, and Zhouzhi County. The general overload area was located in the alluvial plain area of City Six Districts, Chang’an District, the flood plain and the first terrace of Huyi District, the loess tableland area of Zhouzhi County, and the alluvial fan area of Lantian County. The remaining areas were not overloaded. The evaluation results matched the study, which confirmed that the evaluation system was stable and that the results were reliable.

Suggested Citation

  • Jing Gao & Weibo Zhou & Shuwu Li & Changhu Li & Qun Wang & Zhengzheng Li & Haiyun Chen & Tingyu Zhang, 2023. "Construction and Application of a Groundwater Overload Evaluation System Based on the PSR Model," Sustainability, MDPI, vol. 15(5), pages 1-17, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4007-:d:1076939
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    References listed on IDEAS

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    1. Harris, Jonathan M. & Kennedy, Scott, 1999. "Carrying capacity in agriculture: global and regional issues," Ecological Economics, Elsevier, vol. 29(3), pages 443-461, June.
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