Evaluation of Water Richness in Sandstone Aquifers Based on the CRITIC-TOPSIS Method: A Case Study of the Guojiawan Coal Mine in Fugu Mining Area, Shaanxi Province, China

Taking the Guojiawan coal mine in the Shenfu Mining Area as a case study, five evaluation factors (aquifer thickness, brittle–plastic rock thickness ratio, core recovery rate, number of sandstone–mudstone interbeds, and fractal dimension of the faults) were selected as indicators to evaluate the water richness of the sandstone aquifer in the roof strata of the main coal seam. Accordingly, the weights of the water richness evaluation indicators, derived using the criteria importance through intercriteria correlation (CRITIC) evaluation method, were integrated with the computational procedures of the technique for order of preference by similarity to ideal solution (TOPSIS) evaluation method. The indicator weights and evaluation approaches were combined through different fusion strategies. Finally, based on the water richness zoning results for the study area, the advantages and disadvantages of the two fusion approaches, C-TOPSIS-a and C-TOPSIS-b, were compared. Comprehensive analysis was conducted to evaluate the rationality of the water richness zoning. The C-TOPSIS-b evaluation method achieved the optimal evaluation outcome. The water richness was classified into five grades: weak, relatively weak, moderate, relatively strong, and strong. Among these, the regions with weak to relatively weak, moderate, and strong to relatively strong water richness are primarily in the northern, central, southern, and southwestern parts, respectively.

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Publication Details

Journal
Water
Published
2025-05-09
DOI
https://doi.org/10.3390/w17101424
Citations
2
Primary Topic
Rock Mechanics and Modeling
Type
article
Field-Weighted Citation Impact
1.73

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article

Evaluation of Water Richness in Sandstone Aquifers Based on the CRITIC-TOPSIS Method: A Case Study of the Guojiawan Coal Mine in Fugu Mining Area, Shaanxi Province, China

Xiping Liu, Hui Qiao, Lei Dong, Shoutao Luo et al.
2 citations
Water
Rock Mechanics and Modeling
1.73
article

Evaluation of Water Richness in Sandstone Aquifers Based on the CRITIC-TOPSIS Method: A Case Study of the Guojiawan Coal Mine in Fugu Mining Area, Shaanxi Province, China

Xiping Liu, Hui Qiao, Lei Dong, Shoutao Luo, Weijun Qian, Chao Niu, Lele Xiao, Farong Huang, X. C. Jia
article en
2 citations

Abstract

Taking the Guojiawan coal mine in the Shenfu Mining Area as a case study, five evaluation factors (aquifer thickness, brittle–plastic rock thickness ratio, core recovery rate, number of sandstone–mudstone interbeds, and fractal dimension of the faults) were selected as indicators to evaluate the water richness of the sandstone aquifer in the roof strata of the main coal seam. Accordingly, the weights of the water richness evaluation indicators, derived using the criteria importance through intercriteria correlation (CRITIC) evaluation method, were integrated with the computational procedures of the technique for order of preference by similarity to ideal solution (TOPSIS) evaluation method. The indicator weights and evaluation approaches were combined through different fusion strategies. Finally, based on the water richness zoning results for the study area, the advantages and disadvantages of the two fusion approaches, C-TOPSIS-a and C-TOPSIS-b, were compared. Comprehensive analysis was conducted to evaluate the rationality of the water richness zoning. The C-TOPSIS-b evaluation method achieved the optimal evaluation outcome. The water richness was classified into five grades: weak, relatively weak, moderate, relatively strong, and strong. Among these, the regions with weak to relatively weak, moderate, and strong to relatively strong water richness are primarily in the northern, central, southern, and southwestern parts, respectively.

WaterVol. 17(10)
Xi'an University of Science and Technology (CN), Shanxi Jincheng Anthracite Mining Group (China) (CN), Shaanxi Yulin Energy Group (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Rock Mechanics and Modeling
1.73
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