Source apportionment of heavy metal and their health risks in soil-dustfall-plant system nearby a typical non-ferrous metal mining area of Tongling, Eastern China

Background. The rise in particulate matter (PM) concentrations is a serious problem for the environment. Heavy metals associated with PM10, PM2.5, and road dust adversely affect human health. Different methods have been used to assess heavy metal contamination in PM10, PM2.5, and road dust and source apportionment of these heavy metals. These assessment tools utilize pollution indices and health risk assessment models. Objectives. The present study evaluates the total mass and average concentrations of heavy metals in PM10, PM2.5, and road dust along selected road networks in Dhanbad, India, analyzes the source apportionment of heavy metals, and assesses associated human health risks. Methods. A total of 112 PM samples and 21 road dust samples were collected from six stations and one background site in Dhanbad, India from December 2015 to February 2016, and were analyzed for heavy metals (iron (Fe), lead (Pb), cadmium (Cd), nickel (Ni), copper (Cu), chromium (Cr), and zinc (Zn)) using atomic absorption spectrophotometry. Source apportionment was determined using principal component analysis. A health risk assessment of heavy metal concentrations in PM10, PM2.5, and road dust was also performed. Results. The average mass concentration was found to be 229.54±118.40 μg m−3 for PM10 and 129.73 ±61.74 μg m−3 for PM2.5. The average concentration of heavy metals was found to be higher in PM2.5 than PM10. The pollution load index value of PM10 and PM2.5 road dust was found to be in the deteriorating category. Vehicles were the major source of pollution. The non-carcinogenic effects on children and adults were found to be within acceptable limits. The heavy metals present in PM and road dust posed a health risk in the order of road dust> PM10> and PM2.5. Particulate matter posed higher health risks than road dust due to particle size. Conclusions. The mass concentration analysis indicates serious PM10 and PM2.5 contamination in the study area. Vehicle traffic was the major source of heavy metals in PM10, PM2.5, and road dust. In terms of non-carcinogenic risks posed by heavy metals in the present study, children were more affected than adults. The carcinogenic risk posed by the heavy metals was negligible. Competing Interests. The authors declare no competing financial interests

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An integrated approach to quantify ecological and human health risks of soil heavy metal contamination around coal mining area

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.152653 ◽

2021 ◽

pp. 152653

Author(s):

Teklit Zerizghi ◽

Qingjun Guo ◽

Liyan Tian ◽

Rongfei Wei ◽

Changqiu Zhao

Keyword(s):

Heavy Metal ◽

Human Health ◽

Coal Mining ◽

Health Risks ◽

Metal Contamination ◽

Heavy Metal Contamination ◽

Integrated Approach ◽

Mining Area ◽

Coal Mining Area ◽

Human Health Risks

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Heavy Metal Pollution in Xiangjiang River Basin and Its Emergency Response

Water Practice & Technology ◽

10.2166/wpt.2010.075 ◽

2010 ◽

Vol 5 (4) ◽

Cited By ~ 2

Author(s):

S.Y. Chen ◽

Z. Shi

Keyword(s):

Heavy Metal ◽

River Basin ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Local Governments ◽

Metal Removal ◽

Heavy Metal Removal ◽

Ferrous Metal ◽

Metal Mining ◽

Xiangjiang River

Xiangjiang River is a major tributary of the Yangtze River, with a population of 40 million covering the whole river basin. As the important non-ferrous metal mining and smelting industrial area of China, As a result of extensive development of non-ferrous metal mining, smelting and processing industry, the basin suffered severe heavy metal pollution, especially mercury, cadmium, lead, arsenic, etc both in water body and sediment. In response to this severe situation, the central and local governments have developed the corresponding heavy metal pollution emergency mechanisms, and control of heavy metal pollution in Xiangjiang River has been included in the agenda of national governance plan. In recent years, our group has also conducted researches in heavy metal removal technologies, including adsorption and enhanced coagulation processes for conventional water treatment plants to response emergent contamination.

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Heavy metal pollution in vegetables grown in the vicinity of a multi-metal mining area in Gejiu, China: total concentrations, speciation analysis, and health risk

Environmental Science and Pollution Research ◽

10.1007/s11356-014-3188-x ◽

2014 ◽

Vol 21 (21) ◽

pp. 12569-12582 ◽

Cited By ~ 62

Author(s):

Yanyan Li ◽

Hongbin Wang ◽

Haijuan Wang ◽

Fei Yin ◽

Xiaoyan Yang ◽

...

Keyword(s):

Heavy Metal ◽

Health Risk ◽

Metal Pollution ◽

Heavy Metal Pollution ◽

Speciation Analysis ◽

Mining Area ◽

Metal Mining ◽

Total Concentrations

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A partition computing-based positive matrix factorization (PC-PMF) approach for the source apportionment of agricultural soil heavy metal contents and associated health risks

Journal of Hazardous Materials ◽

10.1016/j.jhazmat.2019.121766 ◽

2020 ◽

Vol 388 ◽

pp. 121766 ◽

Cited By ~ 8

Author(s):

Jin Wu ◽

Jiao Li ◽

Yanguo Teng ◽

Haiyang Chen ◽

Yeyao Wang

Keyword(s):

Heavy Metal ◽

Source Apportionment ◽

Health Risks ◽

Matrix Factorization ◽

Agricultural Soil ◽

Positive Matrix Factorization ◽

Positive Matrix ◽

Soil Heavy Metal ◽

Metal Contents

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Evaluation of heavy metal (Cu, Pb, Zn) distribution in base metal mining area at Sangkaropi: implication for land use planning

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/921/1/012047 ◽

2021 ◽

Vol 921 (1) ◽

pp. 012047

Author(s):

U R Irfan ◽

A Maulana ◽

I Nur ◽

M Thamrin ◽

M Manaf

Keyword(s):

Heavy Metal ◽

Land Use ◽

Base Metal ◽

Ecological Risk ◽

Land Use Planning ◽

Mining Area ◽

Sampling Location ◽

Risk Category ◽

Metal Mining ◽

Settling Pond

Abstract Settling-pond treatment systems have been applied in the base-metal mining area at Sangkaropi, South Sulawesi, Indonesia, before being discharged into the Koyan River through the agriculture area. This study aims to conduct a valuation of pollutant Pb, Cu and Zn in areas impacted by base-metal mining in sediment materials as a sensitive indicator for monitoring contaminants in the aquatic environment. Sediment sampling location, the first is in the upstream before the mining location, the second is located in the mining area to settling pond, and the third is in the area after settling-pond to the agriculture area. The concentrations of heavy metal were analyzed using uses AAS method. The assessment is performed based on the value of contamination degree, enrichment of heavy metal pollutant and ecological risk. The arrangement of the average frequency of heavy metal concentrations is Pb>Cu>Zn, which Cf and I-geo values have the almost same behavior. All metal in the upstream and agriculture site is classified as a low category, the Cu on the second and third sites is moderate. The assessment results from this study represent that Pb has a considerable ecological risk category value. However, polluted-Cu are categorized moderately need to be cautious, because metal enrichment comes from mineralization bedrock in the river. Therefore, the result of this study shows that geologic data, especially mineralized bedrocks associated the heavy metal concentration, should be taken into consideration in land-use planning policy in areas that have been impacted by mining and in the assessment of environmental health impacts.

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