IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v17y2025i20p9188-d1772945.html
   My bibliography  Save this article

Integrated Technical–Economic–Environmental Evaluation of Available Technologies for Heavy Metal Wastewater Treatment Used in Lead–Zinc Smelting in the Yellow River Basin

Author

Listed:
  • Yafeng Wu

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    Environmental Standard Institute, Ministry of Ecology and Environment of the People’s Republic of China, Beijing 100012, China)

  • Hao Fang

    (Beijing Municipal Research Institute of Environmental Protection, Beijing 100037, China)

  • Yuhua Zhou

    (State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
    Environmental Standard Institute, Ministry of Ecology and Environment of the People’s Republic of China, Beijing 100012, China)

Abstract

Evaluating the efficacy of available technology for pollutant treatment is critical for formulating environmental management policies and standards. To address the lack of systematic quantitative methods for evaluating available technology, we propose a method based on the Entropy Weight TOPSIS model which integrates technology, economic efficiency, environmental benefits, and operational feasibility. We applied this approach to evaluate six heavy metal wastewater treatment technologies used in the lead–zinc smelting industry in the Yellow River Basin of China. A total of 4 primary and 16 secondary evaluation indicators were identified. The data were mainly composed of supervised monitoring data collected by local environmental protection authorities and self-monitoring operation data collected from factories; moreover, 10 relevant experts were invited to assess the scoring indicators. The results showed that technical performance had the greatest contribution to the overall efficacy of the treatment technology (62.31% weight), followed by environmental benefits (14.24% weight), economic costs (12.08% weight), and operational feasibility (11.36% weight). The final scores and rankings of the six technologies evaluated showed that a sulfurization precipitation with two-stage lime neutralization and sedimentation technology received the highest score due to its balanced technical performance, economic cost, environmental benefits, and operational feasibility. Conversely, lime neutralization with flocculation precipitation technology ranked lowest due to its non-compliance with the emission limits in China, despite its low economic cost and carbon emission intensity. This study provides a quantitative methodological framework for evaluating available technology, emphasizing the balance of the technical, economic, and environmental benefits of the pollutant treatment technologies chosen and the relevant policies made.

Suggested Citation

  • Yafeng Wu & Hao Fang & Yuhua Zhou, 2025. "Integrated Technical–Economic–Environmental Evaluation of Available Technologies for Heavy Metal Wastewater Treatment Used in Lead–Zinc Smelting in the Yellow River Basin," Sustainability, MDPI, vol. 17(20), pages 1-15, October.
  • Handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9188-:d:1772945
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/17/20/9188/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/17/20/9188/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jiacheng Wang & Zhixiang Wang & Zeding Fu & Yingchun Fang & Xuhong Zhao & Xiang Ding & Jing Huang & Zhiming Liu & Xiaohua Fu & Junwu Liu, 2024. "Spatial-Temporal Evaluation and Prediction of Water Resources Carrying Capacity in the Xiangjiang River Basin Using County Units and Entropy Weight TOPSIS-BP Neural Network," Sustainability, MDPI, vol. 16(18), pages 1-27, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Kun Cheng & Xingyang Zhang & Nan Sun, 2025. "Evaluation of Water Resources Carrying Capacity and Analysis of Influencing Factors in China’s Major Grain-Producing Areas Based on Machine Learning," Agriculture, MDPI, vol. 15(19), pages 1-23, October.
    2. Haodong Qiu & Wenlong Liu & Fusen Wei & Yijing Chen & Chuyu Xu & Zhongwei Wang & Yukun Wang & Jiaqi Tan & Wencheng Wei & Hao Chen, 2025. "Evaluating and Optimizing Water Resources Carrying Capacity in Anji County, China," Sustainability, MDPI, vol. 17(18), pages 1-22, September.
    3. Xiaoge Yu & Rongmei Deng & Fuqiang Li & Daiting Zhai & Can Meng, 2025. "Evaluation and Obstacle Factors of Water Resources Carrying Capacity in Tai’an, China," Sustainability, MDPI, vol. 17(5), pages 1-22, February.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:17:y:2025:i:20:p:9188-:d:1772945. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.