Chemical influence factors and contribution rate in shallow groundwater of Wuxi City

LI Liang; ZHOU Kaie; LI Jie; GONG Jianshi; TAN Mengjiao; ZHANG Fei; ZHU Yingxin; LIU Lin; YE Yonghong

doi:10.16788/j.hddz.32-1865/P.2023.12.017

2024 Vol. 45, No. 4

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Article navigation > East China Geology > 2024 > 45(4): 440-451

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LI Liang, ZHOU Kaie, LI Jie, GONG Jianshi, TAN Mengjiao, ZHANG Fei, ZHU Yingxin, LIU Lin, YE Yonghong. 2024. Chemical influence factors and contribution rate in shallow groundwater of Wuxi City. East China Geology, 45(4): 440-451. doi: 10.16788/j.hddz.32-1865/P.2023.12.017

Citation:

LI Liang, ZHOU Kaie, LI Jie, GONG Jianshi, TAN Mengjiao, ZHANG Fei, ZHU Yingxin, LIU Lin, YE Yonghong. 2024. Chemical influence factors and contribution rate in shallow groundwater of Wuxi City. East China Geology, 45(4): 440-451. doi: 10.16788/j.hddz.32-1865/P.2023.12.017

Chemical influence factors and contribution rate in shallow groundwater of Wuxi City

1.
Nanjing Center, China Geological Survey, Nanjing 210016, Jiangsu, China
2.
Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, Jiangsu, China

More Information

Corresponding author: ZHOU Kaie, 315503329@qq.com

Received Date: 28 December 2023

Revised Date: 20 June 2024

Accepted Date: 20 June 2024

Publish Date: 28 December 2024

Abstract

Abstract

Accurate assessment of the chemical factors influencing groundwater is crucial to classify groundwater 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 analysis, 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 SO₄^2- 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 (F1), industrial production (F2) and agricultural production (F3)—account for 76.05% of the cumulative variance contribution rate, with their comprehensive contributions 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.
- Wuxi City /
- shallow groundwater /
- influence factors /
- factors analysis /
- absolute factor score /
- multiple linear regression

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References

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