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Uncertainty Analysis for Evaluating CH4 Emission from Solid Waste Landfill of Hefei City Based on Monte Carlo Method

机译:基于蒙特卡罗方法的合肥市生活垃圾填埋场CH4排放估算不确定度分析

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It is an important content to analyze the uncertainty of emission from greenhouse gases in compiling the emission inventory. Reliable uncertainty estimates can also be used to increase the quality of emission inventories. This paper took the emission of CH4 from the solid waste landfill in Hefei City in 2014 as an example, and employed the mass balance method to compute its emission. Monte Carlo method was used to carry out the sensitivity analysis and compute uncertainty. Through computing, 95% confidence interval of CH4 emission from landfill in Hefei City was (1.89~3.40) × 104 t. The mean value was 2.61 × 104 t with uncertainty range of –27.59%~30.27%. Among all the parameters, the decomposable proportion of DOC (DOCf ) showed the greatest impact on the emission of CH4 from the landfill and its contribution to emission result was 26.33%. Followed by the degradable organic carbon (DOC) was 26.29%, the amount of solid waste (MSW) was 13.63%, methane correction factor (MCF) was 6.93% and the proportion of methane in landfill gas (F) was 6.58%. The results showed that compared with traditional error propagation method, it improved the accuracy and quality of assessment and provided a scientific basis to improve the quality of inventory as well.
机译:在编制排放清单时,分析温室气体排放的不确定性是重要的内容。可靠的不确定性估算也可以用来提高排放清单的质量。以2014年合肥市生活垃圾填埋场的CH4排放为例,采用质量平衡法计算其排放。使用蒙特卡罗方法进行敏感性分析和计算不确定度。经计算,合肥市垃圾填埋场CH4排放的95%置信区间为(1.89〜3.40)×104 t。平均值为2.61×104 t,不确定度范围为–27.59%〜30.27%。在所有参数中,DOC(DOCf)的可分解比例对垃圾填埋场CH4的排放影响最大,其对排放结果的贡献为26.33%。其次是可降解有机碳(DOC)为26.29%,固体废物量(MSW)为13.63%,甲烷校正因子(MCF)为6.93%,甲烷在垃圾填埋气体(F)中的比例为6.58%。结果表明,与传统的误差传播方法相比,提高了评估的准确性和质量,为提高库存质量提供了科学依据。

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