Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling

Xue Bai, Kai Song, Jian Liu, Adam Khalifa Mohamed, Chenya Mou and Dan Liu
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Xue Bai: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
Kai Song: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
Jian Liu: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
Adam Khalifa Mohamed: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
Chenya Mou: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China
Dan Liu: Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China

IJERPH, 2019, vol. 16, issue 18, 1-20

Abstract: To provide theoretical support for the protection of dispersed drinking water sources of groundwater, we need to accurately evaluate the time and scope of groundwater pollution hazards to human health. This helps the decision-making process for remediation of polluted soil and groundwater in service stations. In this study, we conducted such an evaluation by coupling numerical modeling with a health risk assessment. During the research, soil and groundwater samples were collected and analyzed for 20 pollutants. Fifty-six percent of the heavy contaminants and 100% of the organic contaminants exhibited maximum values at the location of the oil depot. Gray correlation analysis showed that the correlation between background samples and soil underlying the depot was 0.375–0.567 (barely significant to insignificant). The correlation between the reference sequence of other points was 0.950–0.990 (excellent correlation). The correlation of environmental impact after oil depot leakage followed the order: organic pollutants > heavy metals > inorganic pollutants. The groundwater simulation status and predictions indicated that non-carcinogenic health risks covered 25,462 m 2 at the time of investigation, and were predicted to extend to 29,593 m 2 after five years and to 39,873 m 2 after 10 years. Carcinogenic health risks covered 21,390 m 2 at the time of investigation, and were predicted to extend to 40,093 m 2 after five years and to 53,488 m 2 after 10 years. This study provides theoretical support for the protection of a dispersed drinking water source such as groundwater, and also helps the decision-making process for groundwater and soil environment improvement.

Keywords: carcinogenic risk; grey relational analysis; health risk assessment; non-carcinogenic risk (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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