IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i11p1888-d235144.html
   My bibliography  Save this article

Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods

Author

Listed:
  • Junping Tian

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China)

  • Zheng Huo

    (School of Information Technology, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Fengjiao Ma

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Xing Gao

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Public Administration, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

  • Yanbin Wu

    (GIS Big Data Platform for Socio-Economy in Hebei, Shijiazhuang 050061, Hebei, China
    School of Management Science and Engineering, Hebei University of Economics and Business, Shijiazhuang 050061, Hebei, China)

Abstract

The production and use of organochlorine pesticides (OCPs) for agricultural and industrial applications result in high levels of their residues, posing a significant risk to environmental and human health. At present, there are many techniques for OCP-contaminated soil remediation. However, the remediation of contaminated sites may suffer from a series of problems, such as a long recovery cycle, high costs, and secondary pollution, all of which could affect land redevelopment and reuse. Therefore, the selection of an appropriate technology is crucial for contaminated sites. In order to improve and support decision-making for the selection of remediation techniques, we provide a decision-making strategy for the screening of remediation techniques of OCP-contaminated sites. The screening procedure is proposed based on combining the analytic hierarchy process (AHP) and the technique for order preference by similarity to ideal solution (TOPSIS). The screening indexes include economic indicator, environmental indicator, and technical indicator. The assessment results show that co-processing in cement kiln obtained the highest overall score and was thus considered to be the most sustainable option. This suggested remediation technology was similar to the practical remediation project, indicating that the screening method could be applied for the selection of remediation technologies for sites contaminated with persistent organic pollutants.

Suggested Citation

  • Junping Tian & Zheng Huo & Fengjiao Ma & Xing Gao & Yanbin Wu, 2019. "Application and Selection of Remediation Technology for OCPs-Contaminated Sites by Decision-Making Methods," IJERPH, MDPI, vol. 16(11), pages 1-15, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:11:p:1888-:d:235144
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/11/1888/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/11/1888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jing Ge & Lee Ann Woodward & Qing X Li & Jun Wang, 2013. "Distribution, Sources and Risk Assessment of Polychlorinated Biphenyls in Soils from the Midway Atoll, North Pacific Ocean," PLOS ONE, Public Library of Science, vol. 8(8), pages 1-7, August.
    2. Bujak, Janusz Wojciech, 2015. "Heat recovery from thermal treatment of medical waste," Energy, Elsevier, vol. 90(P2), pages 1721-1732.
    3. Alfredo Altuzarra & Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2019. "Homogeneous Groups of Actors in an AHP-Local Decision Making Context: A Bayesian Analysis," Mathematics, MDPI, vol. 7(3), pages 1-13, March.
    4. Tekleweini Gereslassie & Ababo Workineh & Onyango Janet Atieno & Jun Wang, 2019. "Determination of Occurrences, Distribution, Health Impacts of Organochlorine Pesticides in Soils of Central China," IJERPH, MDPI, vol. 16(1), pages 1-18, January.
    5. Xiaobing Yu & Hong Chen & Zhonghui Ji, 2019. "Combination of Probabilistic Linguistic Term Sets and PROMETHEE to Evaluate Meteorological Disaster Risk: Case Study of Southeastern China," Sustainability, MDPI, vol. 11(5), pages 1-13, March.
    6. Dong Lv & Tianle Zhu & Runwei Liu & Xinghua Li & Yuan Zhao & Ye Sun & Hongmei Wang & Fan Zhang & Qinglin Zhao, 2018. "Effects of Co-Processing Sewage Sludge in the Cement Kiln on PAHs, Heavy Metals Emissions and the Surrounding Environment," IJERPH, MDPI, vol. 15(4), pages 1-12, April.
    7. Abdulrazaq Yahaya & Omobola O. Okoh & Anthony I. Okoh & Abiodun O. Adeniji, 2017. "Occurrences of Organochlorine Pesticides along the Course of the Buffalo River in the Eastern Cape of South Africa and Its Health Implications," IJERPH, MDPI, vol. 14(11), pages 1-16, November.
    8. Huchang Liao & Di Wu & Yulong Huang & Peijia Ren & Zeshui Xu & Mohit Verma, 2018. "Green Logistic Provider Selection with a Hesitant Fuzzy Linguistic Thermodynamic Method Integrating Cumulative Prospect Theory and PROMETHEE," Sustainability, MDPI, vol. 10(4), pages 1-16, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Floris Abrams & Lucas Hendrickx & Catrinel Turcanu & Lieve Sweeck & Jos Van Orshoven, 2024. "Multi-Criteria Decision Analysis to Support the Remediation of Polluted Soils: A Review of Case Studies," Land, MDPI, vol. 13(6), pages 1-21, June.
    2. Dongmei Huang & Weijun Li & Xikun Chang & Yunliang Tan, 2019. "Key Factors Identification and Risk Assessment for the Stability of Deep Surrounding Rock in Coal Roadway," IJERPH, MDPI, vol. 16(15), pages 1-15, August.

    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. Tekleweini Gereslassie & Ababo Workineh & Onyango Janet Atieno & Jun Wang, 2019. "Determination of Occurrences, Distribution, Health Impacts of Organochlorine Pesticides in Soils of Central China," IJERPH, MDPI, vol. 16(1), pages 1-18, January.
    2. Teresiah M. Mungai & Jun Wang, 2019. "Occurrence and Toxicological Risk Evaluation of Organochlorine Pesticides from Suburban Soils of Kenya," IJERPH, MDPI, vol. 16(16), pages 1-13, August.
    3. Bujak, Janusz & Sitarz, Piotr & Jasiewicz, Paulina, 2018. "Fuel consumption in the thermal treatment of low-calorific industrial food processing waste," Applied Energy, Elsevier, vol. 221(C), pages 139-147.
    4. Mei Cai & Yuanyuan Hong, 2022. "Improved TOPSIS Method Considering Fuzziness and Randomness in Multi-Attribute Group Decision Making," Mathematics, MDPI, vol. 10(22), pages 1-16, November.
    5. Ezbakhe, Fatine & Pérez-Foguet, Agustí, 2021. "Decision analysis for sustainable development: The case of renewable energy planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 291(2), pages 601-613.
    6. Georgios Giakoumakis & Dorothea Politi & Dimitrios Sidiras, 2021. "Medical Waste Treatment Technologies for Energy, Fuels, and Materials Production: A Review," Energies, MDPI, vol. 14(23), pages 1-30, December.
    7. Zhi Wen & Huchang Liao & Ruxue Ren & Chunguang Bai & Edmundas Kazimieras Zavadskas & Jurgita Antucheviciene & Abdullah Al-Barakati, 2019. "Cold Chain Logistics Management of Medicine with an Integrated Multi-Criteria Decision-Making Method," IJERPH, MDPI, vol. 16(23), pages 1-21, December.
    8. Siyu Yao & Jiahui Huang & Haijun Zhou & Cuiting Cao & Tao Ai & Huanhuan Xing & Jianteng Sun, 2022. "Levels, Distribution and Health Risk Assessment of Organochlorine Pesticides in Agricultural Soils from the Pearl River Delta of China," IJERPH, MDPI, vol. 19(20), pages 1-13, October.
    9. Li, Hailong & Wang, Bin & Yan, Jinying & Salman, Chaudhary Awais & Thorin, Eva & Schwede, Sebastian, 2019. "Performance of flue gas quench and its influence on biomass fueled CHP," Energy, Elsevier, vol. 180(C), pages 934-945.
    10. Jan Skála & Radim Vácha & Pavel Čupr, 2018. "Which Compounds Contribute Most to Elevated Soil Pollution and the Corresponding Health Risks in Floodplains in the Headwater Areas of the Central European Watershed?," IJERPH, MDPI, vol. 15(6), pages 1-16, June.
    11. Dražen Žgaljić & Edvard Tijan & Alen Jugović & Tanja Poletan Jugović, 2019. "Implementation of Sustainable Motorways of the Sea Services Multi-Criteria Analysis of a Croatian Port System," Sustainability, MDPI, vol. 11(23), pages 1-21, December.
    12. Burak, Selmin & Samanlioglu, Funda & Ülker, Duygu, 2022. "Evaluation of irrigation methods in Söke Plain with HF-AHP-PROMETHEE II hybrid MCDM method," Agricultural Water Management, Elsevier, vol. 271(C).
    13. Margit Steinholt & Shanshan Xu & Sam Ol Ha & Duong Trong Phi & Maria Lisa Odland & Jon Øyvind Odland, 2020. "Serum Concentrations of Selected Organochlorines in Pregnant Women and Associations with Pregnancy Outcomes. A Cross-Sectional Study from Two Rural Settings in Cambodia," IJERPH, MDPI, vol. 17(20), pages 1-15, October.
    14. Felica R. Davis & Hanan H. Ali & Jason A. Rosenzweig & Daniel Vrinceanu & Balaji Bhaskar Maruthi Sridhar, 2021. "Characterization of Chemical and Bacterial Concentrations in Floor Dust Samples in Southeast Texas Households," IJERPH, MDPI, vol. 18(23), pages 1-17, November.
    15. Chia-Nan Wang & Yih-Tzoo Chen & Chun-Chun Tung, 2021. "Evaluation of Wave Energy Location by Using an Integrated MCDM Approach," Energies, MDPI, vol. 14(7), pages 1-14, March.
    16. Alfredo Altuzarra & Pilar Gargallo & José María Moreno-Jiménez & Manuel Salvador, 2022. "Identification of Homogeneous Groups of Actors in a Local AHP-Multiactor Context with a High Number of Decision-Makers: A Bayesian Stochastic Search," Mathematics, MDPI, vol. 10(3), pages 1-20, February.
    17. Juan Aguarón & María Teresa Escobar & José María Moreno-Jiménez & Alberto Turón, 2022. "Geometric Compatibility Indexes in a Local AHP-Group Decision Making Context: A Framework for Reducing Incompatibility," Mathematics, MDPI, vol. 10(2), pages 1-20, January.
    18. Li, Chunxi & Jia, Zhennan & Ye, Xuemin & Yin, Shuie, 2018. "Simulation on deacidification performance of waste incinerator flue gas by rotating spray drying," Energy, Elsevier, vol. 152(C), pages 652-665.
    19. Jianghong Zhu & Yanlai Li, 2018. "Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral," Sustainability, MDPI, vol. 10(8), pages 1-22, August.
    20. Aleksandra Król & Jerzy Księżak & Elżbieta Kubińska & Stelios Rozakis, 2018. "Evaluation of Sustainability of Maize Cultivation in Poland. A Prospect Theory—PROMETHEE Approach," Sustainability, MDPI, vol. 10(11), pages 1-19, November.

    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:jijerp:v:16:y:2019:i:11:p:1888-:d:235144. 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.