Comprehensive evaluation of shallow groundwater quality in upper plain of Dongting Lake

被引:0
|
作者
Yuan R. [1 ]
Zhong Y. [1 ]
Long X. [2 ]
机构
[1] School of Environment and Resource Sciences, Shanxi University, Taiyuan
[2] The 402 Team, Bureau of Geology and Mineral Resources Exploration of Hunan Province, Changsha
关键词
Artificial neural network; Comprehensive index method; Comprehensive water quality assessment; Groundwater; Principal component analysis; Upper plain of Dongting Lake;
D O I
10.3880/j.issn.1004-6933.2021.06.018
中图分类号
学科分类号
摘要
The comprehensive index method, principal component analysis method, and BP neural network method were used to investigate and evaluate the water quality of shallow groundwater in the upper plain of Dongting Lake in rainy and dry seasons. The applicability of the above methods was also discussed. The results show that the shallow groundwater in the upper plain of Dongting Lake has regional geological pollution and local anthropogenic pollution. In the rainy season, the shallow groundwater between the Lishui and Yuanjiang rivers in the West Dongting Lake Plain and around the Zijiang River in the South Dongting Lake Plain is Grade Ⅳ in water quality, which can be used for irrigation but is not suitable for drinking. After the rainy season, the concentrations of indicators generally decrease due to the dilution induced by precipitation infiltration. The BP neural network method is suitable for comprehensive water quality evaluation, providing the most reasonable result of overall water quality in the study area. The principal component analysis method is relatively simple, with the result being close to that of the BP neural network method. The evaluation result of the comprehensive index method is greatly affected by the most important pollution indicator and is suitable for severe water quality evaluations. © 2021, Editorial Board of Water Resources Protection. All rights reserved.
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页码:121 / 127
页数:6
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