Source apportionment of cadmium pollution in agricultural soil based on cadmium isotope ratio analysis

Zhang, Xiaowen; Yan, Yin; Wadood, Syed Abdul; Sun, Qianqian; Guo, Bin

doi:10.1016/j.apgeochem.2020.104776

Cited by 49 publications

(26 citation statements)

References 36 publications

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“…Combined with the results of the Pb isotope, the first factor can be determined to be dustfall. Previous studies have found that the deposition of vehicle exhaust can lead to an increase in the Pb and Cd concentrations in dustfall [47,48], and that dustfall is an important factor leading to the enrichment of Cd and Pb in the soil of the study area. The Cd is mainly affected by the second main factor.…”

Section: Principal Component Analysismentioning

confidence: 81%

Source Identification of Cd and Pb in Typical Farmland Topsoil in the Southwest of China: A Case Study

Zhang

Shi

et al. 2021

Sustainability

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Cd and Pb in farmland topsoil are controlled by many factors. To identify the source of potential toxic metals in the farmland topsoil around Mianyuan River, the chemical analysis and multivariate statistical analysis are performed in this study. The results indicate the following: (1) The concentration of Cd and Pb in soil exceed the background value of Chinese soil elements. (2) Cd is significantly enriched in the whole region and Pb is locally enriched, both of them are more or less influenced by human activities. (3) The contents of Cd and Pb increase significantly following the flow direction of river. (4) Pb isotope analysis indicates that the main source of Pb in the soil include the air dust, coal and phosphate plant, and the contribution of them decreases successively. (5) Linear correlation analysis and principal component analysis show that the main sources of Cd in the soil are mining phosphate rock, air dust, phosphate plant and coal mining.

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Section: Principal Component Analysismentioning

confidence: 81%

Source Identification of Cd and Pb in Typical Farmland Topsoil in the Southwest of China: A Case Study

Zhang

Shi

et al. 2021

Sustainability

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“…The differences among the contribution rates of sources analyzed by the Cd and Pb isotope ratio method were less than 5%, indicating the uniformity of the source contributions determined by Cd and Pb isotope ratios. 57,58 . Therefore, the Pb isotope method was selected to verify the rationality of the source contribution rates determined by PMF.…”

Section: Correlation Analysis Resultsmentioning

confidence: 99%

Source analysis of heavy metal pollution in agricultural soil irrigated with sewage in Wuqing, Tianjin

Wang

et al. 2021

Sci Rep

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In this study, the contents of heavy metals and Cd and Pb isotope ratios of agricultural soil and potential source samples collected from farmland receiving sewage irrigation in Wuqing District, Tianjin, China were determined. Multiple methods were used for source analysis, including positive matrix factorization (PMF), correlation analysis, principal component analysis (PCA), and the Cd and Pb isotope ratio method. The results showed that agricultural soil was slightly contaminated by heavy metals in the research area, with relatively higher Cd and Pb accumulation levels compared to those of other heavy metals. Four types of pollution sources, including the soil parent material sources, industrial emission sources, agricultural practice sources, and mixed sources of sewage irrigation and transportation were apportioned and quantified by PMF, combined with the results of PCA and correlation analysis. The contribution rates quantified by the Cd and Pb isotope ratio method were similar, suggesting that no single source dominates Pb and Cd pollution. The contribution rates of Pb analyzed by the isotope ratio method were almost identical to those of the PMF model, indicating the rationality of the PMF result. Our results suggested that correlation analysis and PCA should be utilized to provide information for obtaining reasonable results and defining source categories for PMF, whereas the isotope ratio method should be applied to verify the accuracy of source contributions analyzed by PMF.

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“…Up to 48.6% of the paddy soils in the study area were slightly polluted by Cd and located in the middle of the study area. The results showed that Cd pollution in the study area was serious, and there were various types of Cd pollution sources in the polder of Dongting Lake (Liu et al, 2018;Zhang et al, 2020). For Hg, the paddy elds near the pond on the right side of the study area were slightly polluted by this heavy metal, accounting for about 55.9% of the study area, whereas the paddy elds on the left side were not polluted by Hg, accounting for 43.9% of the study area.…”

Section: Heavy Metal Concentration In Surface Soilmentioning

confidence: 93%

“…For traceability analysis of heavy metals in soil, the main methods used currently are spatial interpolation analysis, correlation analysis, cluster analysis, principal component analysis (PCA), and the positive matrix factorization (PMF) model (Micó et al, 2006;Lu et al, 2012;Zhang et al, 2020). Spatial interpolation analysis visually displays the spatial distribution of heavy metals and extracts pollution hotspots (Lu et al, 2012;Suresh et al, 2012;Lv et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Soil pollution assessment and source identification of paddy soil in a typical polder of Dongting Lake

Huang¹,

Zhong²,

Ren³

et al. 2022

Preprint

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Heavy metals are primary pollutants in agricultural soil that hinder the sustainable development of agriculture. To investigate the distribution characteristics and sources of heavy metal pollution of paddy soil in a typical polder of Dongting Lake, we collected 31 topsoil samples to measure the heavy metal content and soil pH. Based on the results, cadmium (Cd) exhibited the most severe soil pollution, followed by arsenic (As), lead (Pb), mercury (Hg), copper (Cu), and zinc (Zn). In terms of the potential ecological risk, Cd also posed the most significant threat, followed by Hg, As, Pb, Cu, and Zn. Most of the study area was heavily polluted and had moderate ecological risk. The main pollution sources were of lithogenic (30.5%) and anthropogenic origins (sewage irrigation [17.8%], atmospheric deposition [27.7%], and chemical fertilizers [23.9%]). Our findings indicate that controlling Cd contamination in the study area is a priority; the contaminations of Hg, As, and Pb also need to be controlled. This study provides scientific support for the environmental management and pollution control of paddy soil heavy metals in polders of South Dongting Lake in China.

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Source apportionment of cadmium pollution in agricultural soil based on cadmium isotope ratio analysis

Cited by 49 publications

References 36 publications

Source Identification of Cd and Pb in Typical Farmland Topsoil in the Southwest of China: A Case Study

Source Identification of Cd and Pb in Typical Farmland Topsoil in the Southwest of China: A Case Study

Source analysis of heavy metal pollution in agricultural soil irrigated with sewage in Wuqing, Tianjin

Soil pollution assessment and source identification of paddy soil in a typical polder of Dongting Lake

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