Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)

Potentially toxic elements (PTEs) in manganese ore areas are prevalent in rainwater runoff and pose a major threat to human health. In this study, field investigation and geostatistical analysis methods of positive matrix factorization (PMF) and geographic information systems (GIS) were used to syst...

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Autores principales:	Xin Luo, Bozhi Ren, Andrew S. Hursthouse, Feng Jiang, Ren-jian Deng, Zhenghua Wang
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	health risk assessment positive matrix factorization (pmf) potentially toxic elements rainwater runoff source analysis Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/2f5e07f18f59431b96c625c15caa976a
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spelling	oai:doaj.org-article:2f5e07f18f59431b96c625c15caa976a2021-11-06T07:09:47ZSource identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)1606-97491607-079810.2166/ws.2020.352https://doaj.org/article/2f5e07f18f59431b96c625c15caa976a2021-03-01T00:00:00Zhttp://ws.iwaponline.com/content/21/2/824https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Potentially toxic elements (PTEs) in manganese ore areas are prevalent in rainwater runoff and pose a major threat to human health. In this study, field investigation and geostatistical analysis methods of positive matrix factorization (PMF) and geographic information systems (GIS) were used to systematically study the pollution in rainwater runoff from a manganese mining area in Xiangtan, China, to evaluate source contributions for the health risk assessment of PTEs. The average concentrations (mg/L) of six PTEs were: 0.3357 (Mn), 0.0450 (Ni), 0.0106 (Cu), 0.0148 (Zn), 0.0068 (Cd) and 0.0390 (Pb). The coefficients of variation (CV) for Mn and Zn were >180% and >130%, with the other analytes having values below 70%. The GIS and PMF analysis produced more refined spatial source apportionments, including mining, smelting, transportation, agricultural production and natural sources. The results of the health risk assessment showed that the non-carcinogenic risk was negligible, and the carcinogenic risk was potentially dangerous but acceptable for both adults and children. In addition, the children's total carcinogenic risk value was greater than that of adults, highlighting their vulnerability. This study demonstrates the potential of PMF to provide a framework to spatially prioritize treatment objectives within the mining region to improve environmental conditions. HIGHLIGHTS Mn is the most serious contaminating element in rainwater runoff.; PMF was used to analyze five sources of PTEs in rainwater runoff.; These present no health risks in the region.;Xin LuoBozhi RenAndrew S. HursthouseFeng JiangRen-jian DengZhenghua WangIWA Publishingarticlehealth risk assessmentpositive matrix factorization (pmf)potentially toxic elementsrainwater runoffsource analysisWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 2, Pp 824-835 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	health risk assessment positive matrix factorization (pmf) potentially toxic elements rainwater runoff source analysis Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	health risk assessment positive matrix factorization (pmf) potentially toxic elements rainwater runoff source analysis Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Xin Luo Bozhi Ren Andrew S. Hursthouse Feng Jiang Ren-jian Deng Zhenghua Wang Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
description	Potentially toxic elements (PTEs) in manganese ore areas are prevalent in rainwater runoff and pose a major threat to human health. In this study, field investigation and geostatistical analysis methods of positive matrix factorization (PMF) and geographic information systems (GIS) were used to systematically study the pollution in rainwater runoff from a manganese mining area in Xiangtan, China, to evaluate source contributions for the health risk assessment of PTEs. The average concentrations (mg/L) of six PTEs were: 0.3357 (Mn), 0.0450 (Ni), 0.0106 (Cu), 0.0148 (Zn), 0.0068 (Cd) and 0.0390 (Pb). The coefficients of variation (CV) for Mn and Zn were >180% and >130%, with the other analytes having values below 70%. The GIS and PMF analysis produced more refined spatial source apportionments, including mining, smelting, transportation, agricultural production and natural sources. The results of the health risk assessment showed that the non-carcinogenic risk was negligible, and the carcinogenic risk was potentially dangerous but acceptable for both adults and children. In addition, the children's total carcinogenic risk value was greater than that of adults, highlighting their vulnerability. This study demonstrates the potential of PMF to provide a framework to spatially prioritize treatment objectives within the mining region to improve environmental conditions. HIGHLIGHTS Mn is the most serious contaminating element in rainwater runoff.; PMF was used to analyze five sources of PTEs in rainwater runoff.; These present no health risks in the region.;
format	article
author	Xin Luo Bozhi Ren Andrew S. Hursthouse Feng Jiang Ren-jian Deng Zhenghua Wang
author_facet	Xin Luo Bozhi Ren Andrew S. Hursthouse Feng Jiang Ren-jian Deng Zhenghua Wang
author_sort	Xin Luo
title	Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
title_short	Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
title_full	Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
title_fullStr	Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
title_full_unstemmed	Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)
title_sort	source identification and risk analysis of potentially toxic elements (ptes) in rainwater runoff from a manganese mine (south central hunan, china)
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/2f5e07f18f59431b96c625c15caa976a
work_keys_str_mv	AT xinluo sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina AT bozhiren sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina AT andrewshursthouse sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina AT fengjiang sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina AT renjiandeng sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina AT zhenghuawang sourceidentificationandriskanalysisofpotentiallytoxicelementsptesinrainwaterrunofffromamanganeseminesouthcentralhunanchina
_version_	1718443785601417216

Source identification and risk analysis of potentially toxic elements (PTEs) in rainwater runoff from a manganese mine (south central Hunan, China)

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