The quantitative source apportionment of heavy metals in peri-urban agricultural soils with UNMIX and input fluxes analysis

Liao, Shiyan; Jin, Gaoqi; Khan, Mahnoor; Zhu, Yi; Duan, Lili; Luo, Wenxuan; Jia, Junwei; Zhong, Beilong; Ma, Jing; Ye, Zhengqian; Liú, Dan

doi:10.1016/j.eti.2020.101232

Cited by 54 publications

(17 citation statements)

References 53 publications

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“…The specific sources of soil heavy-metal contamination can be distinguished by using source apportionment methods [ 23 ]. Recently, receptor models were widely used to quantify the source contribution of heavy metals in soils, such as positive matrix factorization (PMF), absolute principal component scores multiple linear regression (APCS-MLR), chemical mass balance (CMB), and edge analysis (UNMIX) models [ 24 , 25 , 26 ]. The APCS-MLR model can quantify the contribution of pollution sources using multivariate statistical methods, which have widely been applied in source apportionment of various contaminants in soils, dust, and sediments [ 27 , 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Contamination, Source Apportionment, and Health Risk Assessment of Heavy Metals in Farmland Soils Surrounding a Typical Copper Tailings Pond

Xiao

Yang

et al. 2022

IJERPH

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Tailings resulting from mining and smelting activities may cause soil heavy-metal pollution and harm human health. To evaluate the environmental impact of heavy metals from tailings on farmland soils in the surrounding area, heavy metals (As, Cd, Cr, Cu, Ni, Pb, and Zn) in tailings and farmland soils in the vicinity of a typical copper tailings pond were analyzed. Contamination status, potential sources, and health risks for farmland soils were investigated. The results showed that the tailings contained a high concentration of Cu (1136.23 mg/kg). The concentrations of Cd and Cu in the farmland soils exceeded the soil quality standard. The geoaccumulation index (Igeo) indicated that the soils were moderately polluted by Cu and Cd, and slightly polluted by Ni, Cr, and Zn. The absolute principal component scores–multiple linear regression (APCS-MLR) model was applied for source apportionment. The results showed that tailings release is the main source of soil heavy-metals contamination, accounting for 35.81%, followed by agricultural activities (19.41%) and traffic emission (16.31%). The health risk assessment suggested that the children in the study region were exposed to non-carcinogenic risks caused by As, while the non-carcinogenic risk to adults and the carcinogenic risk to both adults and children were at acceptable levels. It is necessary to take effective measures to control heavy-metal contamination from tailings releases to protect humans, especially children, from adverse health risks.

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Section: Introductionmentioning

confidence: 99%

Contamination, Source Apportionment, and Health Risk Assessment of Heavy Metals in Farmland Soils Surrounding a Typical Copper Tailings Pond

Xiao

Yang

et al. 2022

IJERPH

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“…and can accumulate over time [3]. When agricultural production takes place on soils enriched in heavy metals, these toxic substances infiltrate the food chain, creating substantial risks to human health [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Heavy Metal Content and Pollution Assessment in Typical Check Dam Sediment in a Watershed of Loess Plateau, China

Meng

Xiao

et al. 2022

Sustainability

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To understand historical trends and assess the ecological risk associated with heavy metal pollution, the concentration of eight species of heavy metals (vanadium (V), chromium (Cr), manganese (Mn), cobalt (Co), nickel (Ni), zinc (Zn), copper (Cu), and arsenic (As)) in typical silt dam sediments on the Loess Plateau were analyzed. The radionuclide 137Cs was used to quantify rates of erosion, deposition, and heavy metal contamination in the soils of a watershed that supplies a check dam. The sediment record revealed three time periods distinguished by trends in erosion and pollutant accumulation (1960–1967, 1968–1981, and 1985–1991). Heavy metal concentrations were highest but exhibited significant fluctuation in the first two periods (1960–1967 and 1968–1981). From 1985 to 1991, heavy metal pollution showed a downward trend and tended to be stable. The potential risks of heavy metals in silt dam sediments were explored by applying the geo-accumulation index and the potential ecological risk index. The results indicated medium risk associated with Cu and As accumulation, especially in 1963, 1971, and 1986 when the assessed values increased significantly from previous levels. Agricultural practices and high rates of slope erosion may be responsible for the enrichment of As and Cu in soil and the accompanying increase in risk. Land use optimization and the careful use of fertilizers could be used to control or intercept heavy metal pollutants in dammed lands. The results provide the basis for evaluating the current status and ecological risk of heavy metal contamination in dam sediments and for predicting possible heavy metal pollution in the future.

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“…With the frequency of human activities, roadside soil heavy metal contamination has attracted great concern during the last several decades. Many studies have demonstrated that roadside soils could reserve the traffic-derived pollutants and affect human health directly or indirectly [1][2][3]. Roadsides of the highway are generally agricultural land; the excessive accumulation of heavy metals in the soil could increase the potential health risk to human beings because of the input of unsafe agricultural products to the food chain [4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Potential Ecological Risks of Heavy Metals in Agricultural Soil Alongside Highways and Their Relationship with Landscape

Wen

et al. 2021

Agriculture

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The agricultural soil alongside highways has experienced multiple potential ecological risks from human activities. In this study, 100 soil samples near the highways were collected in Lishui District, Nanjing City. Using the single-factor pollution index, the Nemerow comprehensive pollution index, and the potential ecological risk index, the study investigated the heavy metal contents and distribution in roadside agricultural soil. PCA and a multiple regression model were applied to quantitatively analyze the spatial relationships between sampling soil heavy metal accumulation and the surrounding man-made landscape. The mean contents of Cu and Pb exceeded the background, while Cd, Cr, and Zn were lower than that. The potential ecological risk index exhibited a very low ecological hazard and only Cr in soils rarely showed moderate risk. Furthermore, quantitative analysis for the sources of contamination revealed that agricultural practices were the dominant contributors to the heavy metals, including Cd, Cu, and Zn, while road and heavy industrial practices contributed to Cr and Pb. The study provides sources of heavy metal pollution from human activities in roadside agricultural land and serves as a reference for ecological restoration.

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The quantitative source apportionment of heavy metals in peri-urban agricultural soils with UNMIX and input fluxes analysis

Cited by 54 publications

References 53 publications

Contamination, Source Apportionment, and Health Risk Assessment of Heavy Metals in Farmland Soils Surrounding a Typical Copper Tailings Pond

Contamination, Source Apportionment, and Health Risk Assessment of Heavy Metals in Farmland Soils Surrounding a Typical Copper Tailings Pond

Heavy Metal Content and Pollution Assessment in Typical Check Dam Sediment in a Watershed of Loess Plateau, China

Potential Ecological Risks of Heavy Metals in Agricultural Soil Alongside Highways and Their Relationship with Landscape

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