College of Urban and Environmental Sciences, Laboratory for Earth Surface Processes, Sino-French Institute for Earth System Science, Peking University, Beijing 100871, China.
Environ Sci Technol. 2021 Jun 15;55(12):7869-7879. doi: 10.1021/acs.est.1c03117. Epub 2021 Jun 7.
Accurate estimation of black carbon (BC) emissions is essential for assessing the health and climate impact of this pollutant. Past emission inventories were associated with high uncertainty due to data limitations, and recent information has provided a unique updating opportunity. Moreover, understanding the drivers that cause temporal emission changes is of research value. Here, we update the global BC emission estimates using new data on the activities and emission factors (EFs). The new inventory covers 73 detailed sources at 0.1° × 0.1° spatial resolution and monthly temporal resolution from 1960 to 2017. The estimated annual emissions were 32% higher than the average of several previous inventories, which was primarily due to field-measured EFs for residential stoves and differentiated EFs for motor vehicles. In addition, the updated emissions show an inverse U-shaped temporal trend, which was mainly driven by the interaction between the positive effects of population growth, per capita energy consumption, and vehicle fleet and the negative effects of residential energy switching, stove upgrading, phasing out of beehive coke ovens, and reduced EFs for vehicles and industrial processes. Urbanization caused a significant increase in urban emissions accompanied by a more significant decline in rural emissions.
准确估算黑碳 (BC) 排放对于评估这种污染物对健康和气候的影响至关重要。过去的排放清单由于数据限制而存在高度不确定性,而最近的信息提供了一个独特的更新机会。此外,了解导致时间排放变化的驱动因素具有研究价值。在这里,我们使用有关活动和排放因子 (EF) 的新数据更新了全球 BC 排放估计值。新清单涵盖了 73 个详细来源,空间分辨率为 0.1°×0.1°,时间分辨率为每月,时间范围为 1960 年至 2017 年。估计的年排放量比几个先前清单的平均值高出 32%,这主要是由于住宅炉灶的现场测量 EF 和机动车的差异化 EF。此外,更新后的排放量显示出反 U 形的时间趋势,这主要是由于人口增长、人均能源消耗和车队的积极影响以及住宅能源转换、炉灶升级、淘汰蜂窝焦炉以及车辆和工业过程的 EF 降低的相互作用所致。城市化导致城市排放量显著增加,同时农村排放量下降幅度更大。