Pollution characteristics and source identification of soil metal(loid)s at an abandoned arsenic-containing mine, China

• Published in: Journal of hazardous materials Vol. 413; p. 125382
• Main Authors: Ran, Hongzhen, Guo, Zhaohui, Yi, Liwen, Xiao, Xiyuan, Zhang, Li, Hu, Zhihao, Li, Changzhou, Zhang, Yunxia
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 05.07.2021
• Subjects: antimony; arsenic; autocorrelation; cadmium; carcinogenicity; China; fertilizers; heavy metals; Incremental spatial autocorrelation; lead; manganese; mercury; Metal(loid) mine; phosphorus; pollutants; Positive matrix factorizing model; public health; Risk assessment; soil; soil formation; soil pollution; Spatial distribution; strontium; thallium; China; Spatial distribution; Metal(loid) mine; Positive matrix factorizing model; Risk assessment; Incremental spatial autocorrelation

Mining activities can result in serious contamination of soil by heavy metal(loid)s. In this study, the sources and spatial distribution of metal(loid)s, and the risks to public health from these metal(loid)s at an abandoned arsenic mine site were explored. The mean concentrations of arsenic (As), c...