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Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under Uncertainty

Author

Listed:
  • Xudong Chen

    (College of Management Science, Chengdu University of Technology, Chengdu 610059, China)

  • Zhongwen Xu

    (Business School, Sichuan University, Chengdu 610065, China)

  • Liming Yao

    (Business School, Sichuan University, Chengdu 610065, China)

  • Ning Ma

    (Business School, Sichuan University, Chengdu 610065, China)

Abstract

This study considers the two factors of environmental protection and economic benefits to address municipal sewage treatment. Based on considerations regarding the sewage treatment plant construction site, processing technology, capital investment, operation costs, water pollutant emissions, water quality and other indicators, we establish a general multi-objective decision model for optimizing municipal sewage treatment plant construction. Using the construction of a sewage treatment plant in a suburb of Chengdu as an example, this paper tests the general model of multi-objective decision-making for the sewage treatment plant construction by implementing a genetic algorithm. The results show the applicability and effectiveness of the multi-objective decision model for the sewage treatment plant. This paper provides decision and technical support for the optimization of municipal sewage treatment.

Suggested Citation

  • Xudong Chen & Zhongwen Xu & Liming Yao & Ning Ma, 2018. "Processing Technology Selection for Municipal Sewage Treatment Based on a Multi-Objective Decision Model under Uncertainty," IJERPH, MDPI, vol. 15(3), pages 1-18, March.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:3:p:448-:d:134708
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    Cited by:

    1. Zhikun Ding & Menglian Zhu & Zezhou Wu & Yanbin Fu & Xia Liu, 2018. "Combining AHP-Entropy Approach with GIS for Construction Waste Landfill Selection—A Case Study of Shenzhen," IJERPH, MDPI, vol. 15(10), pages 1-21, October.

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