Chemical Characterization and Source Analysis of Shallow Groundwater in a Typical Area of Huaihe River Basin

In this paper, water quality samples were collected from 215 sampling sites in Huaibin County, Xinyang District, Huaihe River Basin, in May 2024, and 11 key indicators of groundwater quality were analyzed. On the basis of hydrochemical statistics and water quality analysis to determine the water quality categories and characteristic pollutants, principal component analysis (PCA) was used to summarize the main driving factors affecting water quality, and it was combined with the absolute principal component score-multiple linear regression receptor model (APCS-MLR model) to further quantify the degree of influence of anthropogenic and natural factors on groundwater quality in the basin. The results showed that about 52% of the groundwater exceeded the Class III water standard of Groundwater Quality Standard (GB/T 14848-2017). Four types of principal component factor affecting the water quality were extracted by principal component analysis (PCA), which were dissolved filtration, migration enrichment (37.39%), agricultural surface pollution (15.52%), leaching and agricultural surface pollution (11.07%) and industrial pollution factor (10.24%). The APCS-MLR model was used to further quantify the effects of various anthropogenic and natural factors on water quality. The average contributions of the five factors to the groundwater quality in the basin were 66.51%, 51.66%, 19.61% and 78.13%, respectively, and the average fitting coefficient of the measured and predicted values of each index was 0.74. This method is highly relevant to the calculation of the allocation of the groundwater pollution sources, and it is suitable for the analysis of the groundwater pollution sources.