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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
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    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. 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.
    8. Themelis, Nickolas J. & Ulloa, Priscilla A., 2007. "Methane generation in landfills," Renewable Energy, Elsevier, vol. 32(7), pages 1243-1257.
    9. 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.
    10. 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.
    11. 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.
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