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Municipal solid waste management planning for Xiamen City, China: a stochastic fractional inventory-theory-based approach

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Abstract

In this study, a stochastic fractional inventory-theory-based waste management planning (SFIWP) model was developed and applied for supporting long-term planning of the municipal solid waste (MSW) management in Xiamen City, the special economic zone of Fujian Province, China. In the SFIWP model, the techniques of inventory model, stochastic linear fractional programming, and mixed-integer linear programming were integrated in a framework. Issues of waste inventory in MSW management system were solved, and the system efficiency was maximized through considering maximum net-diverted wastes under various constraint-violation risks. Decision alternatives for waste allocation and capacity expansion were also provided for MSW management planning in Xiamen. The obtained results showed that about 4.24 × 106 t of waste would be diverted from landfills when p i is 0.01, which accounted for 93% of waste in Xiamen City, and the waste diversion per unit of cost would be 26.327 × 103 t per $106. The capacities of MSW management facilities including incinerators, composting facility, and landfills would be expanded due to increasing waste generation rate.

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Acknowledgements

This research was supported by the National Key Research and Development Plan (2016YFC0502800, 2016YFA0601502), the Natural Sciences Foundation (51520105013, 51679087), the National Basic Research and 111 Programs (2013CB430401, B14008), the Natural Science and Engineering Research Council of Canada, and the National Natural Science Foundation of China (51309095).

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Authors and Affiliations

  1. Environmental Systems Engineering, Faculty of Applied Science and Engineering, University of Regina, Regina, SK, S4S 0A2, Canada

    Xiujuan Chen, Guohe Huang & Yinghui Wu

  2. Department of Environmental Engineering, Xiamen University of Technology, Xiamen, 361024, China

    Guohe Huang

  3. Institute for Energy, Environment and Sustainability Research, University of Regina, Regina, S4S 0A2, Canada

    Shan Zhao & Guanhui Cheng

  4. School of Environmental Science and Engineering, Shandong University, Jinan, 250100, China

    Shan Zhao

  5. S-C Energy and Environmental Research Academy, North China Electric Power University, Beijing, 102206, China

    Hua Zhu

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  1. Xiujuan Chen
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  2. Guohe Huang
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  3. Shan Zhao
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  4. Guanhui Cheng
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  5. Yinghui Wu
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  6. Hua Zhu
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Correspondence to Guohe Huang.

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Chen, X., Huang, G., Zhao, S. et al. Municipal solid waste management planning for Xiamen City, China: a stochastic fractional inventory-theory-based approach. Environ Sci Pollut Res 24, 24243–24260 (2017). https://doi.org/10.1007/s11356-017-0027-x

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  • DOI: https://doi.org/10.1007/s11356-017-0027-x

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