4.5 Article

Application of improved fuzzy comprehensive evaluation method in karst groundwater quality evaluation: a case study of Cengong county

Journal

EARTH SCIENCE INFORMATICS
Volume 14, Issue 2, Pages 1101-1109

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s12145-021-00611-8

Keywords

Groundwater quality evaluation; Entropy weight method; GIS; Fuzzy comprehensive evaluation method

Funding

  1. National Natural Science Foundation [41702270]
  2. Guizhou Science and Technology Department Project [Qian Ke He Ji Chu [2019]1413, Qian Ke He Zhi Cheng [2020]4Y048, Qian Ke He Zhi Cheng [2020]4Y007, [2017]5788]
  3. Guizhou Provincial Department of Education Foundation [[2018]113]

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By improving the fuzzy comprehensive evaluation method and combining it with the entropy weight method, a groundwater quality evaluation model was established and applied to the study of the groundwater aquifer in Cambrian Gaotai formation in Guizhou Province. The results demonstrated the superiority of this method in groundwater quality evaluation.
Groundwater quality is affected by various indexes, and the influence of each index on groundwater quality is fuzzy. Therefore, adopting a reasonable evaluation method can make the groundwater quality evaluation more accurate. Although fuzzy comprehensive evaluation method has great advantages in analyzing fuzzy problems, it has shortcomings in solving problems like weight calculation. The fuzzy comprehensive evaluation method was improved by combining with the entropy weight method in this study. On basis of this, a groundwater quality evaluation model was established. At the same time, by taking the groundwater aquifer of Cambrian Gaotai formation in Cengong County, Guizhou Province as a research object and based on the water quality monitoring data of 14 boreholes there, the model was adopted to evaluate the water quality of the aquifer by combining with GIS technology. The results demonstrated the feasibility and superiority of the improved fuzzy comprehensive theory in groundwater quality evaluation.

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