Cargando…

Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines

OBJECTIVE: Coal mining activities have continuously introduced heavy metals into the soil–crop system, causing increasing damage to crops. This study integrated the analysis of the heavy metal contamination status and human health risk in soil and maize near coal mines to help formulate control stra...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Xiujuan, Cheng, Bijun, Gao, Yi, Zhang, Hongmei, Liu, Liangpo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606824/
https://www.ncbi.nlm.nih.gov/pubmed/36311573
http://dx.doi.org/10.3389/fpubh.2022.1004579
_version_ 1784818385850204160
author Yang, Xiujuan
Cheng, Bijun
Gao, Yi
Zhang, Hongmei
Liu, Liangpo
author_facet Yang, Xiujuan
Cheng, Bijun
Gao, Yi
Zhang, Hongmei
Liu, Liangpo
author_sort Yang, Xiujuan
collection PubMed
description OBJECTIVE: Coal mining activities have continuously introduced heavy metals into the soil–crop system, causing increasing damage to crops. This study integrated the analysis of the heavy metal contamination status and human health risk in soil and maize near coal mines to help formulate control strategies for soil quality, maize production, and safe consumption. METHOD: This study was carried out on maize agricultural land near a coal mining plant. Heavy metal contamination was assessed by the geo-accumulation index (I(geo)), enrichment factor (EF), and bioaccumulation factor (BCF). The Monte Carlo simulation was used to estimate the probabilistic health risk of heavy metals exposure in soil and maize. The relationship between the concentration of heavy metal in the soil and that in maize was further visualized by correlation analysis and random forest analysis. RESULTS: The results revealed that the mean concentrations of soil Ni, Cu, As, Cd, Sn, Zn, Pb, and Hg were all above the local background level. Ni was the most severely polluted heavy metal in maize and had a concentration higher than the risk control standard for corn in China (NY 861-2004). The I(geo) values of all heavy metals were low, and EF values showed enrichment in V, Cr, Ti, Ni, and As. The assessment of probabilistic health risk exposed by heavy metals in soil and maize indicated that 1.16 and 1.46% of residents exceeded the carcinogenic risk level due to heavy metal exposure from soil and maize, respectively. Children were the most sensitive to maize and soil heavy metal exposure in the contaminated area. Ingestion of heavy metals was associated with the highest health risk to residents, followed by dermal contact and inhalation. As and Cr in soil and Cr and Ni in maize had the greatest impact on human health risk. Furthermore, maize heavy metals were affected the most by soil Cr, Cd, and V. CONCLUSION: These results may provide useful information for human carcinogenic risk associated with soil and maize heavy metal exposure due to coal mining activities.
format Online
Article
Text
id pubmed-9606824
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-96068242022-10-28 Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines Yang, Xiujuan Cheng, Bijun Gao, Yi Zhang, Hongmei Liu, Liangpo Front Public Health Public Health OBJECTIVE: Coal mining activities have continuously introduced heavy metals into the soil–crop system, causing increasing damage to crops. This study integrated the analysis of the heavy metal contamination status and human health risk in soil and maize near coal mines to help formulate control strategies for soil quality, maize production, and safe consumption. METHOD: This study was carried out on maize agricultural land near a coal mining plant. Heavy metal contamination was assessed by the geo-accumulation index (I(geo)), enrichment factor (EF), and bioaccumulation factor (BCF). The Monte Carlo simulation was used to estimate the probabilistic health risk of heavy metals exposure in soil and maize. The relationship between the concentration of heavy metal in the soil and that in maize was further visualized by correlation analysis and random forest analysis. RESULTS: The results revealed that the mean concentrations of soil Ni, Cu, As, Cd, Sn, Zn, Pb, and Hg were all above the local background level. Ni was the most severely polluted heavy metal in maize and had a concentration higher than the risk control standard for corn in China (NY 861-2004). The I(geo) values of all heavy metals were low, and EF values showed enrichment in V, Cr, Ti, Ni, and As. The assessment of probabilistic health risk exposed by heavy metals in soil and maize indicated that 1.16 and 1.46% of residents exceeded the carcinogenic risk level due to heavy metal exposure from soil and maize, respectively. Children were the most sensitive to maize and soil heavy metal exposure in the contaminated area. Ingestion of heavy metals was associated with the highest health risk to residents, followed by dermal contact and inhalation. As and Cr in soil and Cr and Ni in maize had the greatest impact on human health risk. Furthermore, maize heavy metals were affected the most by soil Cr, Cd, and V. CONCLUSION: These results may provide useful information for human carcinogenic risk associated with soil and maize heavy metal exposure due to coal mining activities. Frontiers Media S.A. 2022-10-13 /pmc/articles/PMC9606824/ /pubmed/36311573 http://dx.doi.org/10.3389/fpubh.2022.1004579 Text en Copyright © 2022 Yang, Cheng, Gao, Zhang and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Yang, Xiujuan
Cheng, Bijun
Gao, Yi
Zhang, Hongmei
Liu, Liangpo
Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title_full Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title_fullStr Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title_full_unstemmed Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title_short Heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
title_sort heavy metal contamination assessment and probabilistic health risks in soil and maize near coal mines
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606824/
https://www.ncbi.nlm.nih.gov/pubmed/36311573
http://dx.doi.org/10.3389/fpubh.2022.1004579
work_keys_str_mv AT yangxiujuan heavymetalcontaminationassessmentandprobabilistichealthrisksinsoilandmaizenearcoalmines
AT chengbijun heavymetalcontaminationassessmentandprobabilistichealthrisksinsoilandmaizenearcoalmines
AT gaoyi heavymetalcontaminationassessmentandprobabilistichealthrisksinsoilandmaizenearcoalmines
AT zhanghongmei heavymetalcontaminationassessmentandprobabilistichealthrisksinsoilandmaizenearcoalmines
AT liuliangpo heavymetalcontaminationassessmentandprobabilistichealthrisksinsoilandmaizenearcoalmines