1. An early warning method on the carrying capacity of regional groundwater resources
- Author
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Minhua Ling, Jiangyu Chen, Peize Zhang, Xingling Wei, and Lili Yu
- Subjects
early warning indicator ,early warning method ,the carrying capacity of groundwater resources ,henan province ,Water supply for domestic and industrial purposes ,TD201-500 ,River, lake, and water-supply engineering (General) ,TC401-506 - Abstract
Traditional studies on the carrying capacity of groundwater resources mainly focus on a comprehensive evaluation, and this paper provides quantitative prediction and early warning on the carrying capacity of groundwater resources, which is important for groundwater management and protection. This study constructed an early warning indicator system for the carrying capacity of groundwater resources, established an early warning method on the carrying capacity of groundwater resources, determined the early warning grades of Henan Province and various cities from 2023 to 2025, and analyzed the spatial distribution pattern. The results showed that the early warning grades of Henan Province from 2023 to 2025 were mild warnings. In the subsystems, the early warning grades of the groundwater resources and economic society systems were mild warnings, while the early warning grades of the ecological environment system were moderate warnings. The early warning grades of the carrying capacity of groundwater resources in all cities were basically mild or moderate warnings, showing a downward trend. This study establishes an early warning method on the carrying capacity of groundwater resources that includes the selection of early warning indicators, prediction of indicators, and determination of the early warning grades which can be a reference for other regions. HIGHLIGHTS Consider groundwater, economic society, and ecological environment as a GEE system.; An evaluation indicator system covering the GEE system is constructed.; An early warning method on the carrying capacity of groundwater resources is established.; The method is applied in Henan to quantitatively predict and early warn.;
- Published
- 2023
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