Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region

Dong, Baodi; Zhang, Renzhi; Gan, Yandong; Cai, Liqun; Freidenreich, Ariel; Wang, Kepeng; Guo, Tieding; Wang, Hongbin

doi:10.1016/j.scitotenv.2018.10.130

Cited by 191 publications

(60 citation statements)

References 47 publications

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“…On the basis of a strong explanatory ability and low Q value (0.1), three main factors were selected, as shown in Figure 4. The results show that using the analytical value could meet the needs of the simulation results (Dong et al 2018). As (45.5%), Cr (59.8%), Cu (59.3%) and Pb (54.6%) had higher loads on factor 1.…”

Section: Correlation Analysismentioning

confidence: 90%

Soil Heavy Metals Contamination of a Typical Calcium Carbide Slag Dump Sites: Source Apportionment and Risk Assessment

Zhang

Xia

et al. 2021

Preprint

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Source identification and risk assessment of heavy metals were the necessary preliminary work for the contaminated sites remediation. In this report, the As, Cd, Cr, Cu, Hg, Ni, Pb and Zn concentration in a typical calcium carbide slag dump site of thirty-four soil samples were collected to test. The source of heavy metals was analyzed by PMF model, and the apportionment of ecological risk and health risk with different pollution sources were calculated. The results show that Hg was the main polluted heavy metal in the site, with a maximum concentration of 112.19 mg.kg-1, and the soil in the site was accompanied by As, Cu and Pb co-contamination. The average Hg concentration in farmland samples was 0.13 mg.kg-1, which also exceeded the local soil background values, indicating that soil Hg contamination in the site had spread outwards. The sources of eight heavy metals were divided into oil refinery waste water and parent material mixed source (As, Cr, Cu and Pb), vinyl chloride waste source (Hg) and parent material source (Cd, Ni and Zn), respectively. The average potential ecological risk of soil in the site was 22344.39 and vinyl chloride waste source contributed 99.85% to ecological risk. The average CR of oil refinery waste-water and parent material mixed source for children and adults were 9.06×10-6 and 6.36×10-6, accounting for 99.9% and 99.48% of the total average CR for children and adults, respectively. The average HI of vinyl chloride waste source to children and adults were 0.6 and 0.38, accounting for 64.13% and 52.34% of the average total HI of child and adult, respectively. This indicates that children were more vulnerable to heavy metals. Compared with adults, the major pollution sources were more harmful to children.

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Section: Correlation Analysismentioning

confidence: 90%

Soil Heavy Metals Contamination of a Typical Calcium Carbide Slag Dump Sites: Source Apportionment and Risk Assessment

Zhang

Xia

et al. 2021

Preprint

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“…where C i is the concentration measurement of a certain heavy metal element, C i n is the local soil background value of the element, C i f is the pollution factor of the metal, C d is the sum of pollution factor of individual metals, E i f is the potential ecological risk index of a single metal element, and T i f is the toxicity response factor of each heavy metal. Xu et al [41] reported that the obtained toxicity response factors of six heavy metals are as follows: As (10), Hg (40), Cu (5), Ni (5), Pb (5), and Cd (30). PER is the sum of the potential comprehensive ecological risk index.…”

Section: Potential Ecological Risk Assessmentmentioning

confidence: 99%

“…Such model has been frequently applied to the study of soil heavy metal in recent years. The model can recognize pollution sources by analyzing pollution content in the receptors and then calculating the contribution rate of each source [27][28][29][30][31][32]. Positive matrix factorization (PMF) models are calculated by the source profile and contribution rate, and the fitting is preferable at low content points.…”

Section: Introductionmentioning

confidence: 99%

Source apportionment of soil contamination based on multivariate receptor and robust geostatistics in a typical rural–urban area, Wuhan city, middle China

Zhu

et al. 2020

Open Chemistry

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AbstractIn this study topsoil samples were collected from 57 sites of Dongxihu District which is a typical Chinese urban–rural combination area, to analyze the causes and effects of 6 heavy elements. (Ni, Pb, As, Cu, Cd, and Hg) Pollution of Enrichment factor, multivariate statistics, geostatistics were adopted to study the spatial pollution pattern and to identify the priority pollutants and regions of concern and sources of studied metals. Most importantly, the study area was creatively divided into central urban, semi-urbanized, and rural areas in accordance with the characteristics of urban development and land use. The results show that the pollution degree of potential ecological risk assessment is Hg>Ni>Cu>As>Cd>Pb, and semi-urban regions> city center> rural areas. Results based on the proposed integrated source identification method indicated that As was probably sourced from agricultural sources (33.99%), Pb was associated with atmospheric deposition (50.11%), Cu was related to industrial source 1 (45.97%), Cd was mainly derived from industrial source 2 (42.97%) and Hg come mainly from industrial source 3 (56.22%). The pollution in semi-urban areas in urbanization need more attention.

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“…Geographic Information Systems (GIS) is suitable for determining the spatial distribution of regional pollution, whereas multivariate statistical analysis (MSA) is only suitable for describing the overall pollution status of the study area. Therefore, researchers often combine GIS and MSA for soil pollution source analyses [21]. MSA generally includes principal component analysis (PCA), correlation coefficient analysis (CCA), and cluster analysis (CA), all of which can be used to identify heavy metal sources in urban topsoil [22], soil [23], and dust [11,15].…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

Pollution characteristics of toxic metals in topsoil of small and medium-sized cities in mountainous areas of loess plateau in china——A case study of Guyuan

Han

Zhao

et al. 2020

E3S Web Conf.

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Urban soils are subjected to large number of pollutants (including toxic metals). This study investigated the urban soil environmental quality of Guyuan (a typical mountainous city in the Loess Plateau of northwestern China) by determining the concentrations of eight toxic metals (Cu, Zn, Cd, Pb, Cr, Ni, Mn, and Co) in urban topsoil as well as their potential sources. The toxic metal contents in the urban topsoil of Guyuan were generally less than those of other cities in northwestern China. Majority of the metals were highly concentrated in commercial and residential areas at the centre of Guyuan and the industrial region in southeastern Guyuan. The results of our study can contribute towards controlling, managing, and preventing soil pollution, as well as implementing safe layouts for the development of mountainous cities from the planning stage itself.

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Multiple methods for the identification of heavy metal sources in cropland soils from a resource-based region

Cited by 191 publications

References 47 publications

Soil Heavy Metals Contamination of a Typical Calcium Carbide Slag Dump Sites: Source Apportionment and Risk Assessment

Soil Heavy Metals Contamination of a Typical Calcium Carbide Slag Dump Sites: Source Apportionment and Risk Assessment

Source apportionment of soil contamination based on multivariate receptor and robust geostatistics in a typical rural–urban area, Wuhan city, middle China

Pollution characteristics of toxic metals in topsoil of small and medium-sized cities in mountainous areas of loess plateau in china——A case study of Guyuan

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