Accurate assessment of the chemical factors influencing groundwater is crucial to classify ground-water pollution,select appropriate treatment schemes and set treatment objectives. This study analyzes 67 groups of shallow groundwater samples from Wuxi city in Jiangsu Province by using mathematical statistics,factor anal-ysis,and an absolute factor score-multiple linear regression model. The findings are as follows:Firstly,regarding the quality grade of shallow groundwater in Wuxi,Class Ⅲ water constitutes 53.7％ of the samples,while ultra-Class Ⅲ water accounts for 46.3％. The ions exceeding standards are COD,NH4+,NO3-and SO42-in sequence.Secondly,the groundwater can be categorized into 9 types,with HCO3-Ca·Na,HCO3-Ca and HCO3·SO4-Ca Na types predominating,representing 76.1％ of the total samples. Thirdly,three major chemical influence factors in the groundwater chemical index system-natural evolution (Fl),industrial production (F2) and agricultural pro-duction (F3)—account for 76.05％ of the cumulative variance contribution rate,with their comprehensive contri-butions being 57.44％,27.62％ and 14.94％,respectively. The results indicate that the measured concentrations of groundwater chemical index closely match the predicted concentrations derived from the absolute factor score and multiple linear regression model,demonstrating the method's effectiveness in analyzing the chemical factors influencing groundwater.
关键词
无锡市/浅层地下水/影响因子解析/因子分析/绝对因子得分/回归分析
Key words
Wuxi City/shallow groundwater/influence factors/factors analysis/absolute factor score/mul-tiple linear regression
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