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Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas

Industrial and mining activities have been recognized as the major sources of soil heavy metal contamination. This study introduced an improved Nemerow index method based on the Nemerow and geo-accumulation index. Taking a typical industrial and mining gathering area in Tianjin (China) as example, t...

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Detalles Bibliográficos
Autores principales: Guan, Yang, Shao, Chaofeng, Ju, Meiting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113876/
https://www.ncbi.nlm.nih.gov/pubmed/25032743
http://dx.doi.org/10.3390/ijerph110707286
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author Guan, Yang
Shao, Chaofeng
Ju, Meiting
author_facet Guan, Yang
Shao, Chaofeng
Ju, Meiting
author_sort Guan, Yang
collection PubMed
description Industrial and mining activities have been recognized as the major sources of soil heavy metal contamination. This study introduced an improved Nemerow index method based on the Nemerow and geo-accumulation index. Taking a typical industrial and mining gathering area in Tianjin (China) as example, this study then analyzed the contamination sources as well as the ecological and integrated risks. The spatial distribution of the contamination level and ecological risk were determined using Geographic Information Systems. The results are as follows: (1) Zinc showed the highest contaminant level in the study area; the contamination levels of the other seven heavy metals assessed were relatively lower. (2) The combustion of fossil fuels and emissions from industrial and mining activities were the main sources of contamination in the study area. (3) The overall contamination level of heavy metals in the study area ranged from heavily contaminated to extremely contaminated and showed an uneven distribution. (4) The potential ecological risk showed an uneven distribution, and the overall ecological risk level ranged from low to moderate. This study also emphasized the importance of partition in industrial and mining areas, the extensive application of spatial analysis methods, and the consideration of human health risks in future studies.
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spelling pubmed-41138762014-07-29 Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas Guan, Yang Shao, Chaofeng Ju, Meiting Int J Environ Res Public Health Article Industrial and mining activities have been recognized as the major sources of soil heavy metal contamination. This study introduced an improved Nemerow index method based on the Nemerow and geo-accumulation index. Taking a typical industrial and mining gathering area in Tianjin (China) as example, this study then analyzed the contamination sources as well as the ecological and integrated risks. The spatial distribution of the contamination level and ecological risk were determined using Geographic Information Systems. The results are as follows: (1) Zinc showed the highest contaminant level in the study area; the contamination levels of the other seven heavy metals assessed were relatively lower. (2) The combustion of fossil fuels and emissions from industrial and mining activities were the main sources of contamination in the study area. (3) The overall contamination level of heavy metals in the study area ranged from heavily contaminated to extremely contaminated and showed an uneven distribution. (4) The potential ecological risk showed an uneven distribution, and the overall ecological risk level ranged from low to moderate. This study also emphasized the importance of partition in industrial and mining areas, the extensive application of spatial analysis methods, and the consideration of human health risks in future studies. MDPI 2014-07-16 2014-07 /pmc/articles/PMC4113876/ /pubmed/25032743 http://dx.doi.org/10.3390/ijerph110707286 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Guan, Yang
Shao, Chaofeng
Ju, Meiting
Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title_full Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title_fullStr Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title_full_unstemmed Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title_short Heavy Metal Contamination Assessment and Partition for Industrial and Mining Gathering Areas
title_sort heavy metal contamination assessment and partition for industrial and mining gathering areas
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4113876/
https://www.ncbi.nlm.nih.gov/pubmed/25032743
http://dx.doi.org/10.3390/ijerph110707286
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