Politecnico di Milano, DICA Environmental Engineering Section, Piazza Leonardo da Vinci 32, 20133 Milano, Italy.
Sci Total Environ. 2013 Apr 15;450-451:22-30. doi: 10.1016/j.scitotenv.2013.01.073. Epub 2013 Mar 1.
This paper presents a methodology and its application for the compilation of elemental carbon (EC) and organic carbon (OC) emission inventories. The methodology consists of the estimation of EC and OC emissions from available total suspended particulate matter (TSP) emission inventory data using EC and OC abundances in TSP derived from an extensive literature review, by taking into account the local technological context. In particular, the method is applied to the 2008 emissions of Lombardy region, Italy, considering 148 different activities and 30 types of fuels, typical of Western Europe. The abundances estimated in this study may provide a useful basis to assess the emissions also in other emission contexts with similar prevailing sources and technologies. The dominant sources of EC and OC in Lombardy are diesel vehicles for EC and the residential wood combustion (RWC) for OC which together account for about 83% of the total emissions of both pollutants. The EC and OC emissions from industrial processes and other fuel (e.g., gasoline, kerosene and LPG) combustion are significantly lower, while non-combustion sources give an almost negligible contribution. Total EC+OC contribution to regional greenhouse gas emissions is positive for every sector assuming whichever GWP100 value within the range proposed in literature. An uncertainty assessment is performed through a Monte Carlo simulation for RWC, showing a large uncertainty range (280% of the mean value for EC and 70% for OC), whereas for road transport a qualitative analysis identified a narrower range of uncertainty.
本文提出了一种方法及其在元素碳(EC)和有机碳(OC)排放清单编制中的应用。该方法包括利用广泛的文献综述中得出的 TSP 中 EC 和 OC 的丰度,从现有的总悬浮颗粒物(TSP)排放清单数据中估算 EC 和 OC 排放,同时考虑到当地的技术背景。特别是,该方法应用于意大利伦巴第地区 2008 年的排放,考虑了 148 种不同的活动和 30 种燃料,这些活动和燃料是西欧的典型代表。本研究中估算的丰度可能为在具有类似主要排放源和技术的其他排放情况下评估排放提供有用的基础。在伦巴第,EC 的主要排放源是柴油车辆,OC 的主要排放源是居民木材燃烧(RWC),两者共占这两种污染物总排放量的 83%左右。工业过程和其他燃料(如汽油、煤油和液化石油气)燃烧产生的 EC 和 OC 排放量要低得多,而非燃烧源的贡献则可以忽略不计。假设采用文献中提出的范围内的任何 GWP100 值,EC+OC 对每个部门的区域温室气体排放都有正面贡献。通过对 RWC 进行蒙特卡罗模拟进行不确定性评估,结果显示出较大的不确定性范围(EC 的平均值的 280%,OC 的平均值的 70%),而对于道路交通,定性分析确定了一个较窄的不确定性范围。