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Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765961/ https://www.ncbi.nlm.nih.gov/pubmed/31487890 http://dx.doi.org/10.3390/ijerph16183245 |
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author | Bai, Xue Song, Kai Liu, Jian Mohamed, Adam Khalifa Mou, Chenya Liu, Dan |
author_facet | Bai, Xue Song, Kai Liu, Jian Mohamed, Adam Khalifa Mou, Chenya Liu, Dan |
author_sort | Bai, Xue |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6765961 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-67659612019-09-30 Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling Bai, Xue Song, Kai Liu, Jian Mohamed, Adam Khalifa Mou, Chenya Liu, Dan Int J Environ Res Public Health Article 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. MDPI 2019-09-04 2019-09 /pmc/articles/PMC6765961/ /pubmed/31487890 http://dx.doi.org/10.3390/ijerph16183245 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Bai, Xue Song, Kai Liu, Jian Mohamed, Adam Khalifa Mou, Chenya Liu, Dan Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title | Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title_full | Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title_fullStr | Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title_full_unstemmed | Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title_short | Health Risk Assessment of Groundwater Contaminated by Oil Pollutants Based on Numerical Modeling |
title_sort | health risk assessment of groundwater contaminated by oil pollutants based on numerical modeling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6765961/ https://www.ncbi.nlm.nih.gov/pubmed/31487890 http://dx.doi.org/10.3390/ijerph16183245 |
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