• 关键词：黑碳(BC)和有机碳(OC)  清单校验  不确定性

• 基金项目：国家杰出青年科学基金项目（No.41325020）；国家科技支撑项目（No.2014BAC21B02）；中国科学院战略性先导科技专项（B类）（No.XDB05020000）

• 李楠
• 华南理工大学环境与能源学院, 广州 510006

• 卞雅慧
• 华南理工大学环境与能源学院, 广州 510006

• 钟庄敏
• 华南理工大学环境与能源学院, 广州 510006

• 黄志炯
• 华南理工大学环境与能源学院, 广州 510006

• 范小莉
• 华南理工大学环境与能源学院, 广州 510006

• 李成
• 华南理工大学环境与能源学院, 广州 510006

• 贾光林
• 华南理工大学环境与能源学院, 广州 510006

• 郑君瑜
• 华南理工大学环境与能源学院, 广州 510006

• 摘要：根据收集的人为源活动水平数据和最新的排放因子，采用“自下而上”和“自上而下”相结合的排放因子法建立了广东省2012年人为源BC、OC排放清单.结果显示，2012年广东省人为源BC、OC排放量分别为53.5×10³、78.8×10³ t.BC排放主要来自道路移动源和生物质燃烧源，贡献率分别为30.1%和29.4%，生物质燃烧源和餐饮源是主要的OC排放贡献源，贡献率分别为48.5%和16.9%.建立的BC、OC排放源清单仍然具有较大的不确定性，分别为-66%~154%和-63%~126%.其中，道路移动源和生物质燃烧源是主要的不确定贡献源，餐饮源和扬尘源次之，不确定性主要来自由质量分数间接得到的BC和OC排放因子.最后，采用清单结果横向比较法和基于环境监测浓度结果对比法2种方法对本研究的结果进行了校验，结果表明，本研究清单结果基本合理.建议统一不同排放源成分谱的建立方法，加强排放源颗粒物测试，并重视清单结果校验的研究以降低不确定性，从而改进BC、OC排放源清单.

• Abstract：A 2012-based BC and OC anthropogenic emission inventory in Guangdong Province was developed by emission factor approaches, with the combination of bottom-up and top-down methods, based on the collected activity data and the latest emission factors. BC and OC emissions in Guangdong Province were estimated to be 53.5×10³ t and 78.8×10³ t, respectively. BC emissions were mainly from on-road mobile sources and biomass combustion sources, accounting for 30.1% and 29.4%, respectively. Biomass combustion sources and cooking sources were main contributors of OC emissions, accounting for 48.5% and 16.9%, respectively. The emission inventory of BC and OC still have large uncertainties,the range of uncertainty were -66%~154% and -63%~126%, respectively. On-road mobile sources and biomass combustion sources were the main sources of uncertainty, followed by cooking and fugitive dust sources. The uncertainty mainly comes from BC and OC emission factors, which obtained by mass fraction in fine particles indirectly. At last, we verified the results with two methods, which showed that the results of inventory was reasonable. A uniform method for establishing source species profiles, more field study of particulate emissions and enhancement of validation on emissions will certainly reduce the uncertainty and thereby improve the BC/OC emissions inventory.

• Key words：black carbon(BC) and organic carbon(OC)  inventory verification  uncertainty

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