Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China
Drinking water arsenic poisoning has been a health concern, however the importance of dietary arsenic exposure to health also needs to be taken into account. The aim of this study was to conduct a comprehensive health risk assessment of arsenic-contaminated substances in drinking water and wheat-bas...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-05-01
|
| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651323003846 |
| _version_ | 1797840608247676928 |
|---|---|
| author | Xiangping Chen Siyu Liu Yan Luo |
| author_facet | Xiangping Chen Siyu Liu Yan Luo |
| author_sort | Xiangping Chen |
| collection | DOAJ |
| description | Drinking water arsenic poisoning has been a health concern, however the importance of dietary arsenic exposure to health also needs to be taken into account. The aim of this study was to conduct a comprehensive health risk assessment of arsenic-contaminated substances in drinking water and wheat-based food intake in the Guanzhong Plain, China. 87 samples of wheat and 150 samples of water were randomly selected from the research region and examined. The level of arsenic in 89.33% of the water samples in the region exceeded the limit for drinking water (10 μg/L), with an average concentration of 29.98 μg/L. The arsenic in 2.13% of the wheat samples exceeded the food limit (0.5 mg/kg) with an average concentration of 0.24 mg/kg. Under the situation of different exposure pathways, two scenarios of deterministic and probabilistic health risk assessments were compared and analyzed. By contrast, the probabilistic health risk assessment can ensure a certain degree of confidence in the assessment results. The findings of this study indicated that the total cancer risk value faced by the population aged 3–79 years, except for those aged 4–6 years, was 1.03E-4–1.21E-3, which exceeded the 10E-6–10E-4 range of thresholds usually used by USEPA as guidance recommendations for determination. And the non-cancer risk experienced by the population aged 6 months to 79 years was higher than the acceptable threshold (1), with children aged 9 months to 1 year having the highest total non-cancer risk of 7.25. The potential health risks of the exposed population were mainly due to the drinking water route, and consumption of arsenic-containing wheat increased both carcinogenic and non-carcinogenic risks. Finally, the sensitivity analysis revealed that the assessment findings were most significantly influenced by exposure time. The amount of intake was the second influencing factor in the health risk assessment from drinking water and dietary intakes of arsenic, and arsenic concentration was the second influencing factor in the health risk assessment due to dermal exposure to arsenic. The findings of this study can aid in understanding the negative health consequences of arsenic pollution to local residents and in adopting focused remediation strategies to alleviate environmental concerns. |
| first_indexed | 2024-04-09T16:17:38Z |
| format | Article |
| id | doaj.art-ed73995f145544d494697c6404914f9b |
| institution | Directory Open Access Journal |
| issn | 0147-6513 |
| language | English |
| last_indexed | 2024-04-09T16:17:38Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj.art-ed73995f145544d494697c6404914f9b2023-04-24T04:37:26ZengElsevierEcotoxicology and Environmental Safety0147-65132023-05-01256114880Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest ChinaXiangping Chen0Siyu Liu1Yan Luo2School of Environmental Science and Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province 710021, PR ChinaSchool of Environmental Science and Engineering, Shaanxi University of Science & Technology, Xi’an, Shaanxi Province 710021, PR ChinaHealth Science Center, Xi’an Jiaotong University, Xi'an, Shaanxi Province 710061, PR China; Correspondence to: Health Science Center, Xi’an Jiaotong University, 76 Yanta West Road, Xi'an 710061, Shaanxi Province, PR China.Drinking water arsenic poisoning has been a health concern, however the importance of dietary arsenic exposure to health also needs to be taken into account. The aim of this study was to conduct a comprehensive health risk assessment of arsenic-contaminated substances in drinking water and wheat-based food intake in the Guanzhong Plain, China. 87 samples of wheat and 150 samples of water were randomly selected from the research region and examined. The level of arsenic in 89.33% of the water samples in the region exceeded the limit for drinking water (10 μg/L), with an average concentration of 29.98 μg/L. The arsenic in 2.13% of the wheat samples exceeded the food limit (0.5 mg/kg) with an average concentration of 0.24 mg/kg. Under the situation of different exposure pathways, two scenarios of deterministic and probabilistic health risk assessments were compared and analyzed. By contrast, the probabilistic health risk assessment can ensure a certain degree of confidence in the assessment results. The findings of this study indicated that the total cancer risk value faced by the population aged 3–79 years, except for those aged 4–6 years, was 1.03E-4–1.21E-3, which exceeded the 10E-6–10E-4 range of thresholds usually used by USEPA as guidance recommendations for determination. And the non-cancer risk experienced by the population aged 6 months to 79 years was higher than the acceptable threshold (1), with children aged 9 months to 1 year having the highest total non-cancer risk of 7.25. The potential health risks of the exposed population were mainly due to the drinking water route, and consumption of arsenic-containing wheat increased both carcinogenic and non-carcinogenic risks. Finally, the sensitivity analysis revealed that the assessment findings were most significantly influenced by exposure time. The amount of intake was the second influencing factor in the health risk assessment from drinking water and dietary intakes of arsenic, and arsenic concentration was the second influencing factor in the health risk assessment due to dermal exposure to arsenic. The findings of this study can aid in understanding the negative health consequences of arsenic pollution to local residents and in adopting focused remediation strategies to alleviate environmental concerns.http://www.sciencedirect.com/science/article/pii/S0147651323003846ArsenicProbabilistic health risk assessmentCarcinogenic riskNon-carcinogenic riskSensitivity analysis |
| spellingShingle | Xiangping Chen Siyu Liu Yan Luo Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China Ecotoxicology and Environmental Safety Arsenic Probabilistic health risk assessment Carcinogenic risk Non-carcinogenic risk Sensitivity analysis |
| title | Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China |
| title_full | Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China |
| title_fullStr | Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China |
| title_full_unstemmed | Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China |
| title_short | Spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in Northwest China |
| title_sort | spatiotemporal distribution and probabilistic health risk assessment of arsenic in drinking water and wheat in northwest china |
| topic | Arsenic Probabilistic health risk assessment Carcinogenic risk Non-carcinogenic risk Sensitivity analysis |
| url | http://www.sciencedirect.com/science/article/pii/S0147651323003846 |
| work_keys_str_mv | AT xiangpingchen spatiotemporaldistributionandprobabilistichealthriskassessmentofarsenicindrinkingwaterandwheatinnorthwestchina AT siyuliu spatiotemporaldistributionandprobabilistichealthriskassessmentofarsenicindrinkingwaterandwheatinnorthwestchina AT yanluo spatiotemporaldistributionandprobabilistichealthriskassessmentofarsenicindrinkingwaterandwheatinnorthwestchina |