| Summary: | 博士 === 臺灣大學 === 環境工程學研究所 === 98 === Abstract
As exploring the correlation between Municipal Solid Waste Management (MSWM) and climate change, the volume and physical composition fraction of the waste matter must be taken into account. The quantity and composition of waste are varies due to differences in local environments and lifestyles of publics as well as waste treatment methods. Local research must be highlighted since different volumes of greenhouse gases (GHGs) are emitted. The present study relates quantifying the data and adopting a region-based approach in Taipei City, a metropolitan region in Taiwan, by using Life Cycle Inventory (LCI) method to create a model of household MSWM. Besides, a compensatory system was added to expand the system boundary to allow analysis and compare the GHGs emission from MSWM, and proffer incineration is the primary method of waste disposal in densely populated urban areas. The Kyoto Protocol requires the signatory states to commit the reduction of GHG emissions and to set up a GHG emissions trading scheme. It makes the CO2 emissions generated during the incineration process and their effects on climate change as an important issue for the authorities tasked with managing MSW. Hence, the CO2 emissions from incinerators are compared with the estimated emissions in the Intergovernmental Panel on Climate Change (IPCC) Guidelines by using non-parametric statistical analysis after GHGs emission from MSWM approach in this study. The correlation between the waste components and the emissions was also evaluated.
The results of the analysis indicated that out of all the solid waste management sub-models as a function unit, recycling was the most effective method to reduce GHG emissions while using kitchen food waste as swine feeding which contributed the most GHG emissions. As to take account of waste collection vehicles on the operation of hopper compactor under full-load, for recycling disposal strategy to be emphasized and promoted rather then incineration in the waste management system, will help MSWM to achieve its goal of reducing GHG emissions. The results of the CO2 emissions in flue gas analysis showed that the estimated emission from the IPCC Guidelines and the measurements had a significant difference of 71% in the 95% confidence interval, and thus there was non-normal distribution of the emissions from IPCC Guidelines and the measurements. The results of the correlation analysis for the physical composition of waste materials and emissions by using IPCC guidelines showed that plastics (R2 = .97) as high degree of positive correlation and food waste (R2 = .274) with others (R2 = .292) were negative medium level of correlation. By using measurements showed that garden trimmings (R2 = .16) as medium level of positive correlation and food waste (R2 = .243) was negative medium level of correlation.
Based on the LCI model of waste in this study, it completely quantified to present the GHG emissions and sinks from MSWM schemes. The statistical test methods and analysis processes of divergence and correlation of emissions indicated that the interactions among the components of waste during the burning process can be effectively identified. Further, the methods not only provide an effective GHG emission assessment and analysis for the similar MSWM disposal schemes, and also provide accurate information to the waste management authorities and decision makers to achieve GHG emission mitigation. Meanwhile, under the goals outlined in the GHG mitigation, it still can create a faultless and fine MSWM system to establish a sustainable high lifestyle and quality municipal city.
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