Development and application of water environment assessment model for lithium mining area based on python

3rd International Conference on Energy Engineering and Environmental Protection

能源学;生态环境科学

Yu, Feng^1^2 ; Yu, Yang^1

MNR Key Laboratory of Metallogeny and Mineral Assessment, Institute of Mineral Resources, Chinese Academy of Geological Sciences, Beijing

100037, China^1

China University of Geosciences, Beijing

100083, China^2

关键词: Contribution rate;    Development and applications;    Engineering activities;    Environmental quality standards;    Fuzzy comprehensive assessment;    National standard;    Principal Components;    Water environments;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/227/6/062002/pdf
DOI  :  10.1088/1755-1315/227/6/062002

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

Sixty-four surface water samples were selected to study the water quality around the lithium mining area in western Sichuan Province. Principal component analysis, in which 6 principal component indexes (Mn, Zn, As, Cl-, SO4 2-, NO3-) with cumulative contribution rate >85% were selected as the assessment index. Based on fuzzy mathematics, the membership function is used to determine the attribution of all indexes, and the pollution contribution rate is used to determine the index weight. Using the national standard (Environmental quality standards for surface water, GB3838-2002 and Quality standard for ground water, GB/T 14848-93) as a benchmark, a fuzzy comprehensive assessment model based on Python language was established to assess the water environment quality of the mining area. The result shows that the water environment classification of sixty-four sampling points in the mining area are all Grade I. This result indicates that the water environment quality of the mining area is very good, and the mineralization and mining engineering activities do not pollute the water environment around the mining area.