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    Inventories and reduction scenarios of urban waste-related greenhouse gas emissions for management potential
    Yang, DW* (Yang, Dewei); Xu, LX (Xu, Lingxing); Gao, XL (Gao, Xueli); Guo, QH* (Guo, Qinghai); Huang, N (Huang, Ning)

    Waste-related greenhouse gas (GHG) emissions have been recognized as one of the prominent contributors to global warming. Current urban waste regulations, however, face increasing challenges from stakeholders' trade-offs and hierarchic management. A combined method, i.e., life cycle inventories and scenario analysis, was employed to investigate waste-related GHG emissions during 1995–2015 and to project future scenarios of waste-driven carbon emissions by 2050 in a pilot low carbon city, Xiamen, China. The process-based carbon analysis of waste generation (prevention and separation), transportation (collection and transfer) and disposal (treatment and recycling) shows that the main contributors of carbon emissions are associated with waste disposal processes, solid waste, the municipal sector and Xiamen Mainland. Significant spatial differences of waste-related CO2e emissions were observed between Xiamen Island and Xiamen Mainland using the carbon intensity and density indexes. An uptrend of waste-related CO2e emissions from 2015 to 2050 is identified in the business as usual, waste disposal optimization, waste reduction and the integrated scenario, with mean annual growth rates of 8.86%, 8.42%, 6.90% and 6.61%, respectively. The scenario and sensitivity analysis imply that effective waste-related carbon reduction requires trade-offs among alternative strategies, actions and stakeholders in a feasible plan, and emphasize a priority of waste prevention and collection in Xiamen. Our results could benefit to the future modeling of urban multiple wastes and life-cycle carbon control in similar cities within and beyond China.

    Key words:Carbon mitigation; Life cycle inventory; Scenarios; Trade-offs; Urban waste; Xiamen

    Volume:626

    Page:727-736

    Journal:SCIENCE OF THE TOTAL ENVIRONMENT

    https://doi.org/10.1016/j.scitotenv.2018.01.110

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