Abstract
Based on 22 groundwater samples collected from the monitoring wells in the study area, 10 petroleum hydrocarbons concentration data are applied to statistical methods, which the principal component analysis followed by multivariate linear regression(PCA-MLR) was adopted to identify the possible sources and quantify the contributions of different pollution sources. Results showed that there existed three sources of pollution in the study area that are petroleum hydrocarbons pollution which derived from a refinery and an oil depot, chemical pollution which derived from a chemical plant, and machinery manufacturing pollution which derived from a mechanical factory. They contribute 68.26%, 10.11%, 21.63% to petroleum hydrocarbons pollution, respectively. Therefore, petroleum hydrocarbons pollution is the main source of groundwater pollution in the study area.
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