Analysis of hydrochemical characteristics and influencing factors of groundwater in the Balikun Basin of Xinjiang based on multivariate statistical method
Multivariate statistical method is an effective tool for the study of hydrochemical characteristics of groundwater, which can be used to analyze multiple variables simultaneously. Based on nine indexes of 12 groundwater samples, the chemical characteristics and influencing factors of groundwater in the Balikun Basin of Xinjiang were systematically analyzed using multivariate statistical method. The results show that HCO3·SO4-Ca·Na water (account for 33.3% of the samples) and HCO3·SO4-Ca water (account for 25.0% of the samples) with low salinity are mainly distributed in the study area, and the spatial variability of various ions in the groundwater is above medium. The chemical characteristics of groundwater are mainly affected by evaporation and concentration of the main load variables of Na+, Ca2+, Mg2+, Cl-, SO42-, total hardness (TH) and dissolved total solids (TDS), as well as the leaching of the main load variable HCO-3, with the contribution rates of 76.17% and 14.87%, respectively. The results can provide a theoretical support for the protection and sustainable utilization of local groundwater resources.