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| Quantitative source apportionment of groundwater pollution based on PCA-APCS-MLR |
| MENG Li1,2, ZUO Rui1,2, WANG Jin-sheng1,2, YANG Jie1,2, TENG Yan-guo1,2, ZHAI Yuan-zheng1,2, SHI Rong-tao1,2 |
1. College of Water Sciences, Beijing Normal University, Beijing 100875, China;
2. Engineering Research Center of Groundwater Pollution Control and Remediation, Ministry of Education, Beijing 100875, China |
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Abstract Totally 43 groundwater samples were sampled in the Hunhe River alluvial fan, which was a typical industrial area in Shenyang at northeastern China and 16 key groundwater components were analyzed. The main factor of groundwater quality was determined by principal component analysis (PCA) based on water quality grade and characteristics pollutants using water chemistry statistics analysis, and the spatial distribution of different pollution sources was described by ArcGIS software. The contribution of different principal factor to groundwater quality was calculated by absolute principal component score multiple linear regression model (APCS-MLR), and verified accuracyof pollution sources apportionment. Results showed that nitrogen, phosphorus and iron exceeded to groundwater quality standardsignificantly, the evolution of groundwater quality was mainly influenced by human activities. Four main pollution factors were:leaching migration with contribution of 34.21%, agricultural pollution with contribution of 20.13%, geological background with contribution of 13.39% and industrial activities with contribution of 8.97%. The contribution of cumulative variance was 75.64%. The industrial production, domestic sewage discharging and agriculture fertilizer pollution were main pollution sources of groundwater, which were distributed in northwestern and southwestern Shenyang. The pollution of leaching and migration and agriculture pollution affected on the groundwater quality significantly, and the predicted results was consistent with the measured concentration, which indicated that the PCA-APCS-MLR model wasof good pertinence for the distribution of pollution sources and it was suitable for source apportionment for groundwater.
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Received: 27 March 2017
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