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Priority sources identification and risks assessment of heavy metal(loid)s in agricultural soils of a typical antimony mining watershed.
Liu, Lianhua; Li, You; Gu, Xiang; Tulcan, Roberto Xavier Supe; Yan, Lingling; Lin, Chunye; Pan, Junting.
Afiliación
  • Liu L; Institute of Environment and Sustainable Development in Agriculture, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
  • Li Y; Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China. Electronic address: liyou@igsnrr.ac.cn.
  • Gu X; School of Environment, Beijing Normal University, Beijing 100875, China.
  • Tulcan RXS; School of Environment, Beijing Normal University, Beijing 100875, China.
  • Yan L; Yiyang Academy of Agricultural Sciences, Yiyang 413099, China.
  • Lin C; School of Environment, Beijing Normal University, Beijing 100875, China.
  • Pan J; Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China.
J Environ Sci (China) ; 147: 153-164, 2025 Jan.
Article en En | MEDLINE | ID: mdl-39003036
ABSTRACT
Heavy metal(loid) (HM) pollution in agricultural soils has become an environmental concern in antimony (Sb) mining areas. However, priority pollution sources identification and deep understanding of environmental risks of HMs face great challenges due to multiple and complex pollution sources coexist. Herein, an integrated approach was conducted to distinguish pollution sources and assess human health risk (HHR) and ecological risk (ER) in a typical Sb mining watershed in Southern China. This approach combines absolute principal component score-multiple linear regression (APCS-MLR) and positive matrix factorization (PMF) models with ER and HHR assessments. Four pollution sources were distinguished for both models, and APCS-MLR model was more accurate and plausible. Predominant HM concentration source was natural source (39.1%), followed by industrial and agricultural activities (23.0%), unknown sources (21.5%) and Sb mining and smelting activities (16.4%). Although natural source contributed the most to HM concentrations, it did not pose a significant ER. Industrial and agricultural activities predominantly contributed to ER, and attention should be paid to Cd and Sb. Sb mining and smelting activities were primary anthropogenic sources of HHR, particularly Sb and As contaminations. Considering ER and HHR assessments, Sb mining and smelting, and industrial and agricultural activities are critical sources, causing serious ecological and health threats. This study showed the advantages of multiple receptor model application in obtaining reliable source identification and providing better source-oriented risk assessments. HM pollution management, such as regulating mining and smelting and implementing soil remediation in polluted agricultural soils, is strongly recommended for protecting ecosystems and humans.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes del Suelo / Monitoreo del Ambiente / Metales Pesados / Agricultura / Minería / Antimonio País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2025 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Contaminantes del Suelo / Monitoreo del Ambiente / Metales Pesados / Agricultura / Minería / Antimonio País/Región como asunto: Asia Idioma: En Revista: J Environ Sci (China) Asunto de la revista: SAUDE AMBIENTAL Año: 2025 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos