Cargando…
Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China
In order to understand the heavy metal pollution status and ecological effect in aquatic environment around copper mine areas, seven heavy metals (Cd, Cd, Cr, Cu, Hg, Zn, the Ni, and Pb) in aquatic environments in seven representative copper mine regions were selected from the literature in 2005–201...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345622/ https://www.ncbi.nlm.nih.gov/pubmed/32560327 http://dx.doi.org/10.3390/ijerph17124315 |
_version_ | 1783556226516254720 |
---|---|
author | Liu, Jingchao Wu, Jin Feng, Weiying Li, Xia |
author_facet | Liu, Jingchao Wu, Jin Feng, Weiying Li, Xia |
author_sort | Liu, Jingchao |
collection | PubMed |
description | In order to understand the heavy metal pollution status and ecological effect in aquatic environment around copper mine areas, seven heavy metals (Cd, Cd, Cr, Cu, Hg, Zn, the Ni, and Pb) in aquatic environments in seven representative copper mine regions were selected from the literature in 2005–2013 for ecological risk assessment by using potential ecological risk index, geoaccumulation index, nemerow index and species sensitivity distribution method (Potential Affected Fraction (PAF) and Multi-Substance PAF (MSPAF)). The results of sediment ecological risk analysis showed that Cd, Cu and Pb were the main pollutants in sediments. The results of species sensitivity distribution analysis showed that the HC5 values (Hazardous Concentration for 5% of species) of seven heavy metals were different with order Zn > Cr > Cd > Pb > Cu > Ni > Hg. The MSPAF of seven copper mines in the following order with species sensitivity distribution method was as follows: Dabaoshan (99%) = Dahongshan (99%) = Baiyin (99%) > Dexing (97%) > Jinchuan (92%) > Tongling (39%) > Daye (24%). This study analyzes the impact of copper mining on the aquatic environment, and the results of this study will be great value for the comprehensive pollution governance of mining. |
format | Online Article Text |
id | pubmed-7345622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-73456222020-07-09 Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China Liu, Jingchao Wu, Jin Feng, Weiying Li, Xia Int J Environ Res Public Health Article In order to understand the heavy metal pollution status and ecological effect in aquatic environment around copper mine areas, seven heavy metals (Cd, Cd, Cr, Cu, Hg, Zn, the Ni, and Pb) in aquatic environments in seven representative copper mine regions were selected from the literature in 2005–2013 for ecological risk assessment by using potential ecological risk index, geoaccumulation index, nemerow index and species sensitivity distribution method (Potential Affected Fraction (PAF) and Multi-Substance PAF (MSPAF)). The results of sediment ecological risk analysis showed that Cd, Cu and Pb were the main pollutants in sediments. The results of species sensitivity distribution analysis showed that the HC5 values (Hazardous Concentration for 5% of species) of seven heavy metals were different with order Zn > Cr > Cd > Pb > Cu > Ni > Hg. The MSPAF of seven copper mines in the following order with species sensitivity distribution method was as follows: Dabaoshan (99%) = Dahongshan (99%) = Baiyin (99%) > Dexing (97%) > Jinchuan (92%) > Tongling (39%) > Daye (24%). This study analyzes the impact of copper mining on the aquatic environment, and the results of this study will be great value for the comprehensive pollution governance of mining. MDPI 2020-06-17 2020-06 /pmc/articles/PMC7345622/ /pubmed/32560327 http://dx.doi.org/10.3390/ijerph17124315 Text en © 2020 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 Liu, Jingchao Wu, Jin Feng, Weiying Li, Xia Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title | Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title_full | Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title_fullStr | Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title_full_unstemmed | Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title_short | Ecological Risk Assessment of Heavy Metals in Water Bodies around Typical Copper Mines in China |
title_sort | ecological risk assessment of heavy metals in water bodies around typical copper mines in china |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345622/ https://www.ncbi.nlm.nih.gov/pubmed/32560327 http://dx.doi.org/10.3390/ijerph17124315 |
work_keys_str_mv | AT liujingchao ecologicalriskassessmentofheavymetalsinwaterbodiesaroundtypicalcopperminesinchina AT wujin ecologicalriskassessmentofheavymetalsinwaterbodiesaroundtypicalcopperminesinchina AT fengweiying ecologicalriskassessmentofheavymetalsinwaterbodiesaroundtypicalcopperminesinchina AT lixia ecologicalriskassessmentofheavymetalsinwaterbodiesaroundtypicalcopperminesinchina |