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10.3390/w15020225
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Article

Assessment of Groundwater Quality Using APCS-MLR Model: A Case Study in the Pilot Promoter Region of Yangtze River Delta Integration Demonstration Zone, China

by
Zi Chen
1,2,
Quanping Zhou
1,2,
Jinsong Lv
1,2,*,
Yuehua Jiang
1,2,3,
Hai Yang
1,2,
Hui Yang
1,2,
Shijia Mei
1,2,
Zhengyang Jia
1,2,
Hong Zhang
1,2,
Yang Jin
1,2,3,
Lin Liu
1,2,3 and
Rujia Shen
1
1
Nanjing Center, China Geological Survey, Nanjing 210016, China
2
Key Laboratory of Watershed Eco-Geological Processes, Ministry of Natural Resources, Nanjing 210016, China
3
Chinese Academy of Geological Sciences, Beijing 100037, China
*
Author to whom correspondence should be addressed.
Water 2023, 15(2), 225; https://doi.org/10.3390/w15020225
Submission received: 2 December 2022 / Revised: 31 December 2022 / Accepted: 31 December 2022 / Published: 4 January 2023
(This article belongs to the Special Issue Groundwater Chemistry and Quality in Coastal Aquifers)
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Abstract

Groundwater contaminant source identification is an endeavor task in highly developed areas that have been impacted by diverse natural processes and anthropogenic activities. In this study, groundwater samples from 84 wells in the pilot promoter region of the Yangtze River Delta integration demonstration zone in eastern China were collected and then analyzed for 17 groundwater quality parameters. The principal component analysis (PCA) method was utilized to recognize the natural and anthropogenic aspects impacting the groundwater quality; furthermore, the absolute principal component score-multiple linear regression (APCS-MLR) model was employed to quantify the contribution of potential sources to each groundwater quality parameter. The results demonstrated that natural hydro-chemical evolution, agricultural activities, domestic sewage, textile industrial effluent and other industrial activities were responsible for the status of groundwater quality in the study area. Meanwhile, the contribution of these five sources obtained by the APCS-MLR model were ranked as natural hydro-chemical evolution (18.89%) > textile industrial effluent (18.18%) > non-point source pollution from agricultural activities (17.08%) > other industrial activities (15.09%) > domestic sewage (4.19%). It is believed that this contaminant source apportionment result could provide a reliable basis to the local authorities for groundwater pollution management.
Keywords: Yangtze River Delta; groundwater; APCS-MLR; contaminant source apportionment Yangtze River Delta; groundwater; APCS-MLR; contaminant source apportionment

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MDPI and ACS Style

Chen, Z.; Zhou, Q.; Lv, J.; Jiang, Y.; Yang, H.; Yang, H.; Mei, S.; Jia, Z.; Zhang, H.; Jin, Y.; et al. Assessment of Groundwater Quality Using APCS-MLR Model: A Case Study in the Pilot Promoter Region of Yangtze River Delta Integration Demonstration Zone, China. Water 2023, 15, 225. https://doi.org/10.3390/w15020225

AMA Style

Chen Z, Zhou Q, Lv J, Jiang Y, Yang H, Yang H, Mei S, Jia Z, Zhang H, Jin Y, et al. Assessment of Groundwater Quality Using APCS-MLR Model: A Case Study in the Pilot Promoter Region of Yangtze River Delta Integration Demonstration Zone, China. Water. 2023; 15(2):225. https://doi.org/10.3390/w15020225

Chicago/Turabian Style

Chen, Zi, Quanping Zhou, Jinsong Lv, Yuehua Jiang, Hai Yang, Hui Yang, Shijia Mei, Zhengyang Jia, Hong Zhang, Yang Jin, and et al. 2023. "Assessment of Groundwater Quality Using APCS-MLR Model: A Case Study in the Pilot Promoter Region of Yangtze River Delta Integration Demonstration Zone, China" Water 15, no. 2: 225. https://doi.org/10.3390/w15020225

APA Style

Chen, Z., Zhou, Q., Lv, J., Jiang, Y., Yang, H., Yang, H., Mei, S., Jia, Z., Zhang, H., Jin, Y., Liu, L., & Shen, R. (2023). Assessment of Groundwater Quality Using APCS-MLR Model: A Case Study in the Pilot Promoter Region of Yangtze River Delta Integration Demonstration Zone, China. Water, 15(2), 225. https://doi.org/10.3390/w15020225

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