2021
DOI: 10.1038/s41598-021-96367-8
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Source analysis of heavy metal pollution in agricultural soil irrigated with sewage in Wuqing, Tianjin

Abstract: 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 rese… Show more

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Cited by 27 publications
(21 citation statements)
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“…Some studies have evaluated the contributions of potential sources to PM 2.5 and soil samples using multiple model methods based on metal concentrations (Wang et al 2013;Chai et al 2021;Han et al 2021). Because metal concentrations vary significantly with time and space, multi-isotopic fingerprints (MIF) have recently been used as a powerful tool to identify and trace pollution sources more accurately and to assess their relative contributions (Kim et al 2021;Wang et al 2021;Souto-Oliveira et al 2021). Positive matrix factorization (PMF) is used to determine the source contributions, and MIF has a good resolution for source discrimination (Souto-Oliveira et al 2021).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…Some studies have evaluated the contributions of potential sources to PM 2.5 and soil samples using multiple model methods based on metal concentrations (Wang et al 2013;Chai et al 2021;Han et al 2021). Because metal concentrations vary significantly with time and space, multi-isotopic fingerprints (MIF) have recently been used as a powerful tool to identify and trace pollution sources more accurately and to assess their relative contributions (Kim et al 2021;Wang et al 2021;Souto-Oliveira et al 2021). Positive matrix factorization (PMF) is used to determine the source contributions, and MIF has a good resolution for source discrimination (Souto-Oliveira et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…Positive matrix factorization (PMF) is used to determine the source contributions, and MIF has a good resolution for source discrimination (Souto-Oliveira et al 2021). Recent studies used a combination of PMF and isotope ratios for source identification and contributions (Souto-Oliveira et al 2021;Wang et al 2021). Iso-source, stable isotope analysis in R (SIAR) models, and isotope ratios were also used to evaluate the contributions (Kim et al 2021).…”
Section: Introductionmentioning
confidence: 99%
“…In the past few decades, receptor model methods including multivariate statistical analysis (MSA), multiple linear regression (MLR), and Positive Matrix Factorization (PMF) have been used to analyze the sources of HM pollution [35]. MSA methods include correlation analysis, principal component analysis (PCA), and cluster analysis (CA).…”
Section: Pmf Modelmentioning
confidence: 99%
“…PMF is more accurate in source allocation than MLR [40][41][42], and is mainly used to analyze the air pollution sources [43] and lake and groundwater pollution sources [42]. However, it has been applied to analyze the sources of HM in agricultural soil in recent years [35,43,44].…”
Section: Pmf Modelmentioning
confidence: 99%
“…Therefore, it should be assumed that the pollutants came from several common sources [38,49], but the emissions had a similar qualitative composition. Most likely, these are emissions related to road transport [52][53][54] and agricultural activities [55,56]. In 2016, the correlation coefficients changed significantly in some cases, but they are still strong or moderate except for the Ni/Pb, Ni/pH and Pb/pH pairs.…”
Section: 12 X For Peer Reviewmentioning
confidence: 99%