Pollution Status and Risk Assessment of Sedimentary Heavy Metals in the Special Mine Basin of China

Chen, Ming; Shi, Yanli; Liu, Youcun; Hu, Linlin; Li, Feng-guo; Tao, Meixia; Zhang, Meng; Liu, Yan; Zheng, Xiao-Jun

doi:10.1089/ees.2019.0346

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…In the overlying water and surface water, the over-standard sites of Fe were 15.38% and 10.26%, respectively, the over-standard sites of Mn were 12.82% and 28.21%, and the over-standard sites of Sb were 12.82% and12.2%. The coe cients of variation of heavy Fe, Mn, and Sb in the surface water were relatively high, and the uneven distribution of their spatial contents may be related to the complexity of external input (Gao et al, 2021;Chen et al, 2019). Fe and Mn, as metal elements with active redox properties in the water, can directly interfere with the eutrophication of phosphorus in the overlying water and the xation and release of endogenous phosphorus by chemical means or indirectly by microbial means (Jia et al, 2022).…”

Section: Resultsmentioning

confidence: 99%

Occurrence and source analysis of heavy metals and dissolved organic matter in Nanyi Lake, Anhui Province

Jiang

et al. 2023

Environ Monit Assess

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Nanyi Lake is a tributary in the lower reaches of the Yangtze River and the largest freshwater lake in southern Anhui. Anthropogenic activities have signi cantly affected the lake with the rapid development of the surrounding economy in recent years. This study collected a total of 39×2 water samples of surface water and overlying water, detected the heavy metal content (As, Cr, Cu, Mn, Ni, Pb, Sb, Zn, Fe, Cd), and analyzed the spectral characteristics of the dissolved organic matter (DOM). The results demonstrated that the content of heavy metals As, Cr, Cu, Ni, Pb, Zn, and Cd in the surface water and overlying water of Nanyi Lake was lower than the class III limits of the environmental quality standard for surface water (GB3838-2002). However, the heavy metals Fe, Mn, and Sb in the overlying and surface water have sites that exceed the limit of class III. The contour map of spatial distribution demonstrated different degrees of heavy metals (except Zn) enrichment near the Langchuan River in the East Lake District. Parallel factor analysis showed that the main components of DOM in Nanyi Lake were tryptophan-like, fulvic acid-like, and tyrosine-like, and the dissolved organic matter was primarily derived from autogenous endogenous sources. The principal component and correlation analysis showed that the heavy metals in Nanyi Lake were primarily derived from the production wastewater discharged by the surrounding industrial and mining enterprises through the rivers input, followed by the non-point source runoff input of the surrounding agricultural production and lake aquaculture. eventually harm human health through biological enrichment or food chain transmission (Belabed et al., 2013 ). The middle and lower reaches of the Yangtze River are the most densely distributed areas of lakes in China. With the rapid population growth, urbanization, and intensive agricultural production in the basin, a large number of heavy metals are discharged into lakes along with industrial wastewater, agricultural wastewater, and domestic sewage, thereby resulting in heavy metal enrichment in several lakes in the middle and lower reaches of the Yangtze River. Zhang et al ( 2017) reported that the heavy metal Ni in the water of Daye Lake exceeded the class III limit of the surface water quality standard. Li et al ( 2011) found the content of elemental mercury in Chaohu Lake to be between Class III and Class IV of the surface water quality standard. Zhang et al (2015) demonstrated that the risk level of dissolved cadmium in the water of Poyang Lake was close to the recommended value of the International Commission for Radiation Protection. Jiang et al (2018) reported that the cadmium concentration in the water of Caizi Lake in Tongling, Anhui Province, was approximately six times the safety threshold speci ed by international legislation.The ecological risk caused by heavy metals cannot only be judged from the total amount of heavy metals in the environment, considering the interaction among different species, metal elements, and env...

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Section: Resultsmentioning

confidence: 99%

Occurrence and source analysis of heavy metals and dissolved organic matter in Nanyi Lake, Anhui Province

Jiang

et al. 2023

Environ Monit Assess

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Study on atmospheric heavy metal deposition by environmental tracers surrounding copper smelting

Wang

2023

Air Qual Atmos Health

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Principle Component Analysis Based Risk Evaluation Model for Heavy Metal Pollution in Soil in E-waste Incineration Sites in a Smart City

Yang

Yan

Heng

et al. 2023

Journal of Testing and Evaluation

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In order to improve the accuracy of risk evaluation of heavy metal pollution in soil in e-waste incineration sites, a risk evaluation model of heavy metal pollution in soil in e-waste incineration sites is designed. In this study, taking an e-waste incineration site as an example, the analytical materials and reagents are proposed, and the risk evaluation model of heavy metal pollution in soil in e-waste incineration site is established through the establishment of risk evaluation index, principal component analysis, and comprehensive evaluation so as to realize the risk evaluation of heavy metal pollution in soil in e-waste incineration site. The effectiveness of the evaluation model is verified, which proves that the model has higher evaluation accuracy and less evaluation time.

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Pollution Status and Risk Assessment of Sedimentary Heavy Metals in the Special Mine Basin of China

Cited by 3 publications

References 14 publications

Occurrence and source analysis of heavy metals and dissolved organic matter in Nanyi Lake, Anhui Province

Occurrence and source analysis of heavy metals and dissolved organic matter in Nanyi Lake, Anhui Province

Study on atmospheric heavy metal deposition by environmental tracers surrounding copper smelting

Principle Component Analysis Based Risk Evaluation Model for Heavy Metal Pollution in Soil in E-waste Incineration Sites in a Smart City

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