IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i17p10888-d903185.html
   My bibliography  Save this article

Selection of Landfill Cover Materials Based on Data Envelopment Analysis (DEA)—A Case Study on Four Typical Covering Materials

Author

Listed:
  • Yibo Zhang

    (School of Emergency Management, Xihua University, Chengdu 610039, China)

  • Yan Liu

    (Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Xuefeng Min

    (Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Qifan Jiang

    (Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Weizhou Su

    (School of Economics and Management, Southwest University of Science and Technology, Mianyang 621010, China)

Abstract

Against the background of sustainable development, landfill covers can consist of a range of materials, from clay to geocomposite and polymer composites. Given engineering and environmental requirements, we analyzed the performance and sustainability of four sanitary landfill cover materials, namely clay, HDPE, PVC, and GCL. Within the principles of environmentally sustainable design, we constructed a material selection index based on the performance as well as the economic and environmental impacts of the materials. In addition, using a data envelopment analysis (DEA) model with an analytic hierarchical process (AHP) preference cone, we developed a C 2 WH model to evaluate the performance of the selected materials. Through the calculation, we found that the comprehensive indexes of the four covering materials were E 1 = 0.2600, E 2 = 0.5757, E 3 = 0.7815, and E 4 = 1.0000, respectively. Our results indicated that the investigated materials could be ranked according to performance as follows: GCL > PVC > HDPE > clay. Thus, our results showed that GCL, with the highest efficiency value, was the optimal cover of the investigated materials. The multiobjective decision model developed in our study can be used as a technical reference and offers support for the selection of eco-friendly landfill cover materials.

Suggested Citation

  • Yibo Zhang & Yan Liu & Xuefeng Min & Qifan Jiang & Weizhou Su, 2022. "Selection of Landfill Cover Materials Based on Data Envelopment Analysis (DEA)—A Case Study on Four Typical Covering Materials," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10888-:d:903185
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/17/10888/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/17/10888/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Dubey, Rameshwar & Gunasekaran, Angappa & Samar Ali, Sadia, 2015. "Exploring the relationship between leadership, operational practices, institutional pressures and environmental performance: A framework for green supply chain," International Journal of Production Economics, Elsevier, vol. 160(C), pages 120-132.
    2. Hailong Liu & Xiang Luo & Xingyao Jiang & Chunyi Cui & Zhen Huyan, 2021. "The Evaluation System of the Sustainable Development of Municipal Solid Waste Landfills and Its Application," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    3. Themelis, Nickolas J. & Ulloa, Priscilla A., 2007. "Methane generation in landfills," Renewable Energy, Elsevier, vol. 32(7), pages 1243-1257.
    4. Ali Chabuk & Nadhir Al-Ansari & Karwan Alkaradaghi & Abdulla Mustafa Muhamed Al-Rawabdeh & Jan Laue & Hussain Musa Hussain & Roland Pusch & Sven Knutsson, 2018. "Landfill Final Cover Systems Design for Arid Areas Using the HELP Model: A Case Study in the Babylon Governorate, Iraq," Sustainability, MDPI, vol. 10(12), pages 1-27, December.
    5. Ouyang, Yao & Pedrycz, Witold, 2016. "A new model for intuitionistic fuzzy multi-attributes decision making," European Journal of Operational Research, Elsevier, vol. 249(2), pages 677-682.
    6. Marcin Konrad Widomski & Witol Stępniewski & Anna Musz-Pomorska, 2018. "Clays of Different Plasticity as Materials for Landfill Liners in Rural Systems of Sustainable Waste Management," Sustainability, MDPI, vol. 10(7), pages 1-16, July.
    7. Cheng Peng & Dianzhuang Feng & Sidai Guo, 2021. "Material Selection in Green Design: A Method Combining DEA and TOPSIS," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    8. Rui Zhao & Han Su & Xiaolang Chen & Yanni Yu, 2016. "Commercially Available Materials Selection in Sustainable Design: An Integrated Multi-Attribute Decision Making Approach," Sustainability, MDPI, vol. 8(1), pages 1-15, January.
    9. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    10. Marcin K. Widomski & Anna Musz-Pomorska & Wojciech Franus, 2021. "Hydraulic and Swell–Shrink Characteristics of Clay and Recycled Zeolite Mixtures for Liner Construction in Sustainable Waste Landfill," Sustainability, MDPI, vol. 13(13), pages 1-20, June.
    11. Corrado Lo Storto, 2016. "Ecological Efficiency Based Ranking of Cities: A Combined DEA Cross-Efficiency and Shannon’s Entropy Method," Sustainability, MDPI, vol. 8(2), pages 1-29, January.
    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. Georgios Tsaples & Jason Papathanasiou & Andreas C. Georgiou, 2022. "An Exploratory DEA and Machine Learning Framework for the Evaluation and Analysis of Sustainability Composite Indicators in the EU," Mathematics, MDPI, vol. 10(13), pages 1-27, June.
    2. Zhou, Haibo & Yang, Yi & Chen, Yao & Zhu, Joe, 2018. "Data envelopment analysis application in sustainability: The origins, development and future directions," European Journal of Operational Research, Elsevier, vol. 264(1), pages 1-16.
    3. Xinna Zhao & Chongwen Zhong, 2017. "Low Carbon Economy Performance Analysis with the Intertemporal Effect of Capital in China," Sustainability, MDPI, vol. 9(5), pages 1-18, May.
    4. Ma-Lin Song & Ron Fisher & Jian-Lin Wang & Lian-Biao Cui, 2018. "Environmental performance evaluation with big data: theories and methods," Annals of Operations Research, Springer, vol. 270(1), pages 459-472, November.
    5. Cheng Peng & Dianzhuang Feng & Sidai Guo, 2021. "Material Selection in Green Design: A Method Combining DEA and TOPSIS," Sustainability, MDPI, vol. 13(10), pages 1-14, May.
    6. Hao-Teng Cheng & Hsueh-Sheng Chang, 2018. "A Spatial DEA-Based Framework for Analyzing the Effectiveness of Disaster Risk Reduction Policy Implementation: A Case Study of Earthquake-Oriented Urban Renewal Policy in Yongkang, Taiwan," Sustainability, MDPI, vol. 10(6), pages 1-18, May.
    7. Khezrimotlagh, Dariush & Kaffash, Sepideh & Zhu, Joe, 2022. "U.S. airline mergers’ performance and productivity change," Journal of Air Transport Management, Elsevier, vol. 102(C).
    8. Christian Growitsch & Tooraj Jamasb & Christine Müller & Matthias Wissner, 2016. "Social Cost Efficient Service Quality: Integrating Customer Valuation in Incentive Regulation—Evidence from the Case of Norway," International Series in Operations Research & Management Science, in: Joe Zhu (ed.), Data Envelopment Analysis, chapter 0, pages 71-91, Springer.
    9. Franz R. Hahn, 2007. "Determinants of Bank Efficiency in Europe. Assessing Bank Performance Across Markets," WIFO Studies, WIFO, number 31499, March.
    10. Alperovych, Yan & Hübner, Georges & Lobet, Fabrice, 2015. "How does governmental versus private venture capital backing affect a firm's efficiency? Evidence from Belgium," Journal of Business Venturing, Elsevier, vol. 30(4), pages 508-525.
    11. Wang, Zhao-Hua & Zeng, Hua-Lin & Wei, Yi-Ming & Zhang, Yi-Xiang, 2012. "Regional total factor energy efficiency: An empirical analysis of industrial sector in China," Applied Energy, Elsevier, vol. 97(C), pages 115-123.
    12. repec:lan:wpaper:1115 is not listed on IDEAS
    13. Azarnoosh Kafi & Behrouz Daneshian & Mohsen Rostamy-Malkhalifeh, 2021. "Forecasting the confidence interval of efficiency in fuzzy DEA," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 31(1), pages 41-59.
    14. Ruiqing Yuan & Xiangyang Xu & Yanli Wang & Jiayi Lu & Ying Long, 2024. "Evaluating Carbon-Emission Efficiency in China’s Construction Industry: An SBM-Model Analysis of Interprovincial Building Heating," Sustainability, MDPI, vol. 16(6), pages 1-16, March.
    15. Costa, Marcelo Azevedo & Lopes, Ana Lúcia Miranda & de Pinho Matos, Giordano Bruno Braz, 2015. "Statistical evaluation of Data Envelopment Analysis versus COLS Cobb–Douglas benchmarking models for the 2011 Brazilian tariff revision," Socio-Economic Planning Sciences, Elsevier, vol. 49(C), pages 47-60.
    16. Kristiaan Kerstens & Ignace Van de Woestyne, 2018. "Enumeration algorithms for FDH directional distance functions under different returns to scale assumptions," Annals of Operations Research, Springer, vol. 271(2), pages 1067-1078, December.
    17. Bo Li & Muhammad Mohiuddin & Qian Liu, 2019. "Determinants and Differences of Township Hospital Efficiency among Chinese Provinces," IJERPH, MDPI, vol. 16(9), pages 1-16, May.
    18. Ahmad, Usman, 2011. "Financial Reforms and Banking Efficiency: Case of Pakistan," MPRA Paper 34220, University Library of Munich, Germany.
    19. Nijkamp, P. & Stough, R. & Sahin, M., 2009. "Impact of social and human capital on business performance of migrant entrepreneurs - a comparative dutch-us study," Serie Research Memoranda 0017, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    20. Bowlin, W. F., 1995. "A characterization of the financial condition of the United States' aerospace-defense industrial base," Omega, Elsevier, vol. 23(5), pages 539-555, October.
    21. Zhang, Chonghui & Bai, Chen & Su, Weihua & Balezentis, Tomas, 2024. "The centralised data envelopment analysis model integrated with cost information and utility theory for power price setting under carbon peak strategy at the firm-level," Energy, Elsevier, vol. 292(C).

    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:14:y:2022:i:17:p:10888-:d:903185. 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.