Semantic Scholar Open Access 2022 109 sitasi

Identification and hazard analysis of heavy metal sources in agricultural soils in ancient mining areas: A quantitative method based on the receptor model and risk assessment.

Haoqi Zhou Yong Chen X. Yue D. Ren Yanzhong Liu +1 lainnya

Abstrak

Industry in ancient mining areas caused significant heavy metal pollution (HMP) in agricultural soils. This study measured the hazards of specific sources of heavy metals (HMs) in an ancient mining areas agricultural soil. Firstly, we identified the major pollution sources based on the PMF model. Then, the proposed single-factor pollution load index (SPLIzone) and ecological load index (SELIzone) analyzed the integrated pollution and ecological risks of various elements. Finally, the source-specific soil contamination levels and ecological risks were quantified by combining the source assignment and single-factor assessment processes. SPLIzone and SELIzone showed that Cu and Cd were the most contaminated elements. Five factors were determined as the major sources of HMs, including mining, natural, smelting industry, agricultural and traffic sources. The mining sources contributed the most soil contamination (33.73%). However, the largest contributor to ecological risk was the smelting industrial (42.18%). Lower soil contamination may contain higher ecological risk. Smelting industrial and traffic are the most critical sources that need to be controlled at present. This study proposes a quantitative method for assessing the hazards of HM sources, which provides a beneficial reference for the study and management of HMP.

Topik & Kata Kunci

Penulis (6)

H

Haoqi Zhou

Y

Yong Chen

X

X. Yue

D

D. Ren

Y

Yanzhong Liu

K

Ke Yang

Format Sitasi

Zhou, H., Chen, Y., Yue, X., Ren, D., Liu, Y., Yang, K. (2022). Identification and hazard analysis of heavy metal sources in agricultural soils in ancient mining areas: A quantitative method based on the receptor model and risk assessment.. https://doi.org/10.1016/j.jhazmat.2022.130528

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Informasi Jurnal
Tahun Terbit
2022
Bahasa
en
Total Sitasi
109×
Sumber Database
Semantic Scholar
DOI
10.1016/j.jhazmat.2022.130528
Akses
Open Access ✓