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Application of Pb Isotopes and REY Patterns in Tracing Heavy Metals in Farmland Soils from the Upper-Middle Area of Yangtze River

Author

Listed:
  • Yongqiang Ning

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Bizheng Yang

    (State Key Laboratory of Ore Deposit Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550002, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Shaochen Yang

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Jiaxin Ye

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Junjie Li

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Limin Ren

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Zhifu Liu

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Xiangyang Bi

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

  • Jinling Liu

    (Hubei Key Laboratory of Critical Zone Evolution, School of Earth Sciences, China University of Geosciences, Wuhan 430074, China)

Abstract

Farmland heavy metal pollution—caused by both human activity and natural processes—is a major global issue. In the current study, principal component analysis (PCA), cluster analysis (CA), rare earth elements and yttrium (REY) analysis, and isotope fingerprinting were combined to identify sources of heavy metal pollution in soil from different farmland types in the upper-middle area of the Yangtze River. The concentrations of Zn and Cu were found to be higher in the vegetable base and tea plantation soil compared with their concentrations in the orangery soil. On the other hand, greater accumulation of Cd and Pb was observed in the orangery soil versus the vegetable base and tea plantation soils. Influenced by the type of bedrock, REY was significantly enriched in the orangery soil and depleted in the vegetable base soil, as compared with the tea plantation soil. The Pb isotopic compositions of the tea plantation (1.173–1.193 for 206 Pb/ 207 Pb and 2.070–2.110 for 208 Pb/ 206 Pb) and vegetable base (1.181–1.217 for 206 Pb/ 207 Pb and 2.052–2.116 for 208 Pb/ 206 Pb) soils were comparable to those of coal combustion soil. The compositions of 206 Pb/ 207 Pb (1.149–1.170) and 208 Pb/ 206 Pb (2.121–2.143) in the orangery soil fell between those observed in soils obtained from coal combustion and ore smelting sites. Using the IsoSource model, the atmospheric Pb contributions of the vegetable base, tea plantation, and orangery soils were calculated to be 66.6%, 90.1%, and 82.0%, respectively, and the bedrock contributions of Pb were calculated to be 33.3%, 9.90%, and 18.1%, respectively. Based on the PCA, CA, and REY results, as well as the Pb isotope model, it appears that heavy metals in the orangery soil may be derived from atmospheric deposition and bedrock weathering, while heavy metals in the vegetable base and tea plantation soils may be derived from mining and the use of fertilizer.

Suggested Citation

  • Yongqiang Ning & Bizheng Yang & Shaochen Yang & Jiaxin Ye & Junjie Li & Limin Ren & Zhifu Liu & Xiangyang Bi & Jinling Liu, 2023. "Application of Pb Isotopes and REY Patterns in Tracing Heavy Metals in Farmland Soils from the Upper-Middle Area of Yangtze River," IJERPH, MDPI, vol. 20(2), pages 1-13, January.
    • Handle: RePEc:gam:jijerp:v:20:y:2023:i:2:p:966-:d:1025779
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    References listed on IDEAS

    as
    1. Jian Zhang & Ruidong Yang & Rong Chen & Yishu Peng & Xuefeng Wen & Lei Gao, 2018. "Accumulation of Heavy Metals in Tea Leaves and Potential Health Risk Assessment: A Case Study from Puan County, Guizhou Province, China," IJERPH, MDPI, vol. 15(1), pages 1-22, January.
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