[Quantifying the Contribution of Soil Heavy Metals to Ecological and Health Risk Sources].
Huan Jing Ke Xue
; 45(2): 1026-1037, 2024 Feb 08.
Article
em Zh
| MEDLINE
| ID: mdl-38471940
ABSTRACT
Quantifying the risk of soil heavy metal sources can identify the main pollution sources. It can provide a scientific basis for reducing the ecological and human health risks of soil heavy metals. Taking the shallow soil in a Pb-Zn mine watershed in northern Guangxi as a research objectï¼ ecological and human health risk assessments were conducted using potential ecological risk assessment ï¼RIï¼ and human health risk assessment ï¼HRAï¼ï¼ and the source apportionment of soil heavy metals was completed using the absolute principal component-multiple linear regression receptor ï¼APCS-MLRï¼ model and random forest ï¼RFï¼ model. Thenï¼ a combined risk assessment modelï¼ consisting of RIï¼ HRAï¼ and APCS-MLRï¼ was used to quantify the risk of soil heavy metal sources. The results showed that the contents of Pbï¼ Znï¼ Cuï¼ and Cd exceeded the environmental screening values for agricultural land with mean values of 342.77ï¼ 693.34ï¼ 61.27ï¼ and 3.08 mg·kg-1ï¼ respectivelyï¼ and there was a certain degree of contamination. Pbï¼ Crï¼ and As were the main health risk impact factorsï¼ with higher health risks for children than for adults. Three sources were identifiedï¼ mining activities ï¼Source â
ï¼ï¼ soil parent material sources and original formation ï¼Source â
¡ï¼ï¼ and unknown sources. Pbï¼ Znï¼ Cuï¼ and Cd were mainly derived from Source â
ï¼ and Cr and As were controlled by unknown sources and Source â
¡. The source risk assessment results of soil heavy metals indicated that the potential ecological risk and non-carcinogenic risk were mainly from Source â
and Source â
¡ï¼ and carcinogenic risk was mainly from unknown sources. The unknown sources had a high proportion in source apportionment and risk assessmentï¼ and should be further researched to provide scientific basis for soil heavy metal control. The combined risk assessment model based on source analysisï¼ focusing on the risk characteristics of different sourcesï¼ can accurately identify high-risk pollution sources. It is a more reasonable and reliable risk assessment method.
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2024
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