中文关键词排放清单人为源四川省大气污染物排放特征空间分布 英文关键词emission inventoryanthropogenic sourcesSichuan Provinceair pollutantemission characteristicsspatial allocation

作者	单位	E-mail
周子航	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072 四川大学建筑与环境学院, 成都 610065	gorezhou@cdaes.cn
邓也	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072
谭钦文	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072
吴柯颖	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072
杨欣悦	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072
周小玲	成都市环境保护科学研究院, 成都市大气科研重点实验室, 成都 610072

中文摘要 在收集四川省各城市人为污染源活动水平数据基础上，基于自下而上和自上而下结合的清单构建方法，选取排放因子并结合GIS技术，建立了该地区2015年1 km×1 km人为源大气污染物排放清单.结果表明，2015年四川省人为源SO₂、NO_x、CO、PM₁₀、PM_2.5、BC、OC、VOCs和NH₃排放量分别为444.9×10³、820.0×10³、3773.1×10³、1371.6×10³、537.5×10³、28.7×10³、53.1×10³、923.6×10³和988.0×10³ t.电厂和工业锅炉等燃煤排放贡献了95%以上的SO₂，移动源、化石燃料燃烧源和工艺过程源分别贡献了54%、23%和20%的NO_x，以钢铁和建材制造为主的工艺过程源分别贡献了20%的PM₁₀和34%的PM_2.5，以道路扬尘为主的扬尘源分别贡献了60%的PM₁₀和35%的PM_2.5，生物质燃烧分别贡献了33%的BC和51%的OC，以机械加工、建筑装饰、电子设备制造、印刷和家具等行业为主的溶剂使用源贡献了46%的VOCs，NH₃主要来自畜禽养殖和氮肥施用等农业部门排放，分别占总排放量的70%和25%.污染物空间分布结果显示，四川省各项大气污染物主要集中分布于人口最为密集，农业和工业均较为发达的四川盆地和攀枝花部分区域，其中，以成都、德阳和绵阳为代表的成都平原城市群为四川盆地内的主要排放高值区域.所建立的排放清单存在一定不确定性，后续研究中应针对活动水平数据获取的不足开展数据收集工作，加强排放贡献较大典型污染源的排放因子本地化研究工作，逐步完善四川省大气污染物排放清单，为四川省复合型大气污染研究和防治提供科学支撑. 英文摘要 Based on anthropogenic source activity data and emission factors for the Sichuan Province, the 1 km×1 km-gridded atmospheric air pollutant emission inventory of 2015 was developed in combination with GIS technology and the combined "bottom-up" and "top-down" construction method. The results show that the total emission of SO₂, NO_x, CO, PM₁₀, PM_2.5, BC, OC, VOCs, and NH₃ in Chengdu is 444.9×10³, 820.0×10³, 3773.1×10³, 1371.6×10³, 537.5×10³, 28.7×10³, 53.1×10³, 923.6×10³, and 988.0×10³ t, respectively. Power plants and other industrial combustion boilers contribute more than 95% of the SO₂ emissions. Mobile, fossil fuel combustion, and industrial process sources contribute 54%, 23%, and 20% of the NO_x emissions, respectively. The industrial process of steel production and building materials manufacturing contribute 20% PM₁₀ of the emissions and take up 34% PM_2.5 of the emissions. Fugitive dust and road fugitive dust contributes 60% PM₁₀ and 35% PM_2.5 of the emissions, respectively. Biomass combustion contributes 33% BC and 51% OC of the emissions, respectively. The solvent use of mechanical processing, building decoration, electronic equipment manufacturing, and printing and furniture industry contribute 46% of the VOCs of the emissions. The NH₃ emissions mainly orginate from the sources of livestock feeding and nitrogen fertilizers, accounting for 70% and 25% of the NH₃ emissions, respectively. The spatial distribution of the emissions shows that high emissions are mainly distributed in the most densely populated, agricultural, and industrial more developed areas in Panzhihua and the Sichuan Basin. The urban agglomerations of the Chengdu Plain, represented by Chengdu, Deyang, and Mianyang, are the areas with emission concentration in the Sichuan Basin. The emissions inventory in this study has uncertainties. More fundamental studies on activity data should be conducted and the emission factors of typical emission sources should be further localized to improve the emission inventory and prevention and control of complex air pollution in the Sichuan Province and provide scientific support.

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