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Remediation Technologies of Contaminated Sites in China: Application and Spatial Clustering Characteristics

Author

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  • Jingjing Yu

    (College of Water Sciences, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Panpan Wang

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Bei Yuan

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Minghao Wang

    (China Metallurgical Industry Planning and Research Institute, Beijing 100013, China)

  • Pengfei Shi

    (College of Water Sciences, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

  • Fasheng Li

    (College of Water Sciences, Beijing Normal University, Beijing 100875, China
    State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China)

Abstract

Screening remediation technologies through the lens of green, low-carbon, and sustainable development is crucial for contaminated land management. To better understand the applicability of remediation technologies, this paper explored their application in China based on a survey of 643 cases. By employing coupled analysis and local spatial autocorrelation methods, this study reveals the alignment between remediation technologies and pollutants, along with their spatial distribution and clustering patterns. Specifically, the four primary remediation technologies identified were cement kiln co-processing (CKCP), chemical oxidation/reduction (CO/CR), thermal desorption (TR), and solidification and stabilization (S/S), collectively accounting for over 90% of the cases. Additionally, our findings indicated significant variation in how different pollutants respond to remediation technologies, largely attributable to the characteristics of the pollutants. We observed High–High clustering patterns for CKCP, CO/CR, TR, and S/S. These were predominantly found in Jiangsu, Chongqing, Shandong, and Guizhou for CKCP and CO/CR and in Hebei, Jiangsu, Shanghai, and Chongqing for CO/CR. TR exhibited a High–High clustering in Shanghai, as did S/S. This research contributes to reducing the economic and resource costs associated with the trial-and-error of screening contaminated soil remediation technologies, offering valuable scientific and technological guidance for contaminated land regulation.

Suggested Citation

  • Jingjing Yu & Panpan Wang & Bei Yuan & Minghao Wang & Pengfei Shi & Fasheng Li, 2024. "Remediation Technologies of Contaminated Sites in China: Application and Spatial Clustering Characteristics," Sustainability, MDPI, vol. 16(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:4:p:1703-:d:1341663
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    References listed on IDEAS

    as
    1. Jun Gao & Muhammad Faheem & Xiang Yu, 2022. "Global Research on Contaminated Soil Remediation: A Bibliometric Network Analysis," Land, MDPI, vol. 11(9), pages 1-16, September.
    2. Elena Cristina Rada & Gianni Andreottola & Irina Aura Istrate & Paolo Viotti & Fabio Conti & Elena Romenovna Magaril, 2019. "Remediation of Soil Polluted by Organic Compounds Through Chemical Oxidation and Phytoremediation Combined with DCT," IJERPH, MDPI, vol. 16(17), pages 1-11, August.
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