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Bibliometric Analysis of the Influencing Factors, Derivation, and Application of Heavy Metal Thresholds in Soil

Author

Listed:
  • Zhaolin Du

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Dasong Lin

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Haifeng Li

    (Beijing Municipal Key Laboratory of Agriculture Environment Monitoring, Beijing 100097, China)

  • Yang Li

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Hongan Chen

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Weiqiang Dou

    (College of Land Science and Technology, China Agricultural University, Beijing 100193, China)

  • Li Qin

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

  • Yi An

    (Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China)

Abstract

The study of threshold levels of heavy metals in soil is essential for the assessment and management of soil environmental quality. This study reviewed the influencing factors, the derivation, and application aspects of heavy metals’ threshold values comprehensively by a combination of bibliometric analysis and scientific knowledge mapping. A total of 1106 related studies were comprehensively extracted from the Web of Science database during the period from 2001 to 2020. The results showed that the publication output has been growing strongly. An analysis on the subject, journal, country, and institution was carried out to demonstrate the development and evolution of this research branch during the two decades. According to high-frequency keywords analysis, external factors (e.g., soil physicochemical properties) and internal factors (e.g., crop genotype) can affect heavy metal threshold values in the soil–crop system. The current methods mainly include the Point model (e.g., evaluation factor method), the Probability model (e.g., species sensitivity distribution method), and the Empirical model (e.g., ecological environment effect method). A threshold study can be applicable to the risk assessment for soil heavy metal contamination in order to determinate the soil pollution degree and its spatial and temporal distribution characteristics. Moreover, challenges and prospects of the study of heavy metal threshold values are proposed, indicating that research should focus on the relationships between human health risks and the established threshold values of heavy metals in the soil, long-term field trials and bioavailability of heavy metals for the derivation of the thresholds, and the establishment of more scientific and rational soil environmental benchmarks.

Suggested Citation

  • Zhaolin Du & Dasong Lin & Haifeng Li & Yang Li & Hongan Chen & Weiqiang Dou & Li Qin & Yi An, 2022. "Bibliometric Analysis of the Influencing Factors, Derivation, and Application of Heavy Metal Thresholds in Soil," IJERPH, MDPI, vol. 19(11), pages 1-12, May.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:11:p:6561-:d:826009
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    References listed on IDEAS

    as
    1. Zhongyang Wang & Bo Meng & Wei Zhang & Jinheng Bai & Yingxin Ma & Mingda Liu, 2018. "Multi-Target Risk Assessment of Potentially Toxic Elements in Farmland Soil Based on the Environment-Ecological-Health Effect," IJERPH, MDPI, vol. 15(6), pages 1-14, May.
    2. Guala, Sebastián D. & Vega, Flora A. & Covelo, Emma F., 2010. "The dynamics of heavy metals in plant–soil interactions," Ecological Modelling, Elsevier, vol. 221(8), pages 1148-1152.
    3. Bifeng Hu & Ruiying Zhao & Songchao Chen & Yue Zhou & Bin Jin & Yan Li & Zhou Shi, 2018. "Heavy Metal Pollution Delineation Based on Uncertainty in a Coastal Industrial City in the Yangtze River Delta, China," IJERPH, MDPI, vol. 15(4), pages 1-13, April.
    Full references (including those not matched with items on IDEAS)

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