Optimization of Well Layout Based on Spatial Variability of Groundwater

Hao Wei; Huawei Chen; Fulin Li

doi:10.54097/8gbxdh81

Authors

Hao Wei
Huawei Chen
Fulin Li

DOI:

https://doi.org/10.54097/8gbxdh81

Keywords:

Groundwater, Spatial variability, Mineability

Abstract

Due to the invisibility of the groundwater environment and the anisotropy and heterogeneity of the water medium, its resource environmental functions and pollution issues have long been overlooked and underestimated. Human activities have already had a severe impact on groundwater. To address groundwater issues in Huimin County, Shandong Province, 63 groundwater samples were collected and tested. Kriging interpolation, geostatistical methods, and cluster analysis were used to analyze the statistical characteristics of monitoring data, groundwater chemical types, spatial distribution of groundwater, and influencing factors. In addition, GIS spatial analysis and water quality-water level dynamic methods were combined to assess the suitability of groundwater extraction. The analysis results indicate that the main ions exceeding standards in Huimin County's groundwater are chloride (Cl−), sulfate (SO2−4), and nitrate (NO−3). There is a notable spatial heterogeneity in groundwater quality, with nitrate's spatial variation influenced by structural factors (such as topography and hydrology) and random factors (such as industrial and agricultural activities), among which nitrate's spatial variation is the most significant. Most ion concentrations gradually decrease from northwest to southeast, with overall water quality in the southeastern region being better than in the northwestern region. The spatial distribution of water table depth is influenced by topography, and potential development areas for extraction are primarily located in the western part of Shimiaozhen and parts of Sangluoxu Town, which account for only 12% of the study area. Limited extraction zones are mainly located in the central and northern parts of the study area, making up the largest proportion of the study area at 46.1%.

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