长白山源头区地下水质评价及监测指标优化

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Abstract This study chose Antu County, the water source area of Changbai Mountain as the study area. the hydrochemical characteristics and formation mechanism of groundwater in the study area was analyzed. The cloud model based on entropy weight was used to evaluate the groundwater quality. Furthermore, an optimization model of water quality index was constructed by coupling random forest and stepwise multiple linear regression analysis to determine the key indicators of groundwater source security monitoring. The results showed that the primary water chemistry type of groundwater in the study area was HCO₃-Mg·Na·Ca type, which was mainly controlled by the rock weathering and dissolution effects. About 74% of groundwater samples were classified as Class Ⅰ-Ⅲ. The R² and RMSE values of the best index optimization model were 0.6333 and 0.726, respectively. F^-, Na⁺, TDS and Cl^- were identified as the key indicators of groundwater quality monitoring in the study area. This optimized water quality index can effectively reduce monitoring costs and provide scientific basis for guaranteeing the safety of water sources.

Key words： high-quality water source in Changbai Mountain cloud model random forest water quality evaluation index optimization groundwater

Received: 24 February 2023

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X824

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	Articles by authors
	GU Zhi-qi
	BIAN Jian-min
	WANG Yu
	MA Li-xin
	SUN Xiao-qing
	RUAN Dong-mei

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GU Zhi-qi,BIAN Jian-min,WANG Yu等. Groundwater quality assessment and index optimization of water quality monitoring in the water source area of Changbai Mountain[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(10): 5257-5264.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I10/5257

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