2022
DOI: 10.1007/s10661-022-09804-0
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A comprehensive exploration on the health risk quantification assessment of soil potentially toxic elements from different sources around large-scale smelting area

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Cited by 41 publications
(7 citation statements)
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“…† Many previous studies stated that the heavy metal contents are higher in soils adjacent to industrial lands. 10,47,49 The present study found that both heavy metal contents and their increments in soils near industrial lands are higher.…”
Section: Increment Of Soil Heavy Metal Pollutionsupporting
confidence: 53%
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“…† Many previous studies stated that the heavy metal contents are higher in soils adjacent to industrial lands. 10,47,49 The present study found that both heavy metal contents and their increments in soils near industrial lands are higher.…”
Section: Increment Of Soil Heavy Metal Pollutionsupporting
confidence: 53%
“…4, the higher ecological risk is mainly located in the central area during 2016–2019, which is in accordance with previous studies. 10,46,47 As reported in these research studies, long-term industrial and mining activities in the central area caused severe soil heavy metal pollution.…”
Section: Resultsmentioning
confidence: 78%
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“…As a typical receptor model, PMF was exploited for the identification of sources and quantification of source contributions to the objective variable. The model mainly analyzes the data by decomposing the original matrix into a contribution matrix and a factor allocation matrix, and meanwhile, quantitatively describes the contribution of each sample (Huang et al, 2022; Wang et al, 2021b). The calculation axiom and formula of PMF were exhibited in the Data S1.…”
Section: Methodsmentioning
confidence: 99%
“…A PMF model was used to identify and distribute sources of heavy metals in soil [ 40 , 41 ]. We used EPA PMF 5.0 software, employing set factor (2–6) and operation (20) numbers to compare the Q r /Q e values one by one for different factors to determine the optimal factor number.…”
Section: Resultsmentioning
confidence: 99%