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

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 the pilot promoter region of Yangtze River Delta integration demonstration zone eastern China were collected then analyzed for 17 quality parameters. The principal component analysis (PCA) method was utilized to recognize aspects impacting quality; furthermore, absolute score-multiple linear regression (APCS-MLR) model employed quantify contribution potential sources each parameter. results demonstrated hydro-chemical evolution, agricultural activities, domestic sewage, textile industrial effluent other activities responsible status study area. Meanwhile, these five obtained APCS-MLR ranked as evolution (18.89%) > (18.18%) non-point pollution (17.08%) (15.09%) sewage (4.19%). It believed apportionment result could provide a reliable basis local authorities management.