Multiple sources emission inventory closely integrated with atmospheric environment management: A case study of Guangdong, China

Abstract

The framework design and compilation methods of air emission inventory cannot connect multiple sets of environmental management statistics. The environmental statistics with different emission results increase the difficulty of policy making by the administrative departments. Based on the existing statistical system of environmental management in Guangdong Province, this study combines traditional compilation method of atmospheric pollution source emission inventory to optimize the classification system of air emission inventory and the integration based on multi-source data of environmental management. The study proposes a four-level classified pollution source system of national economy with Guangdong characteristics as well as a calculation method of multi-source data fusion supporting annually updating. Taking 2020 emission inventory formation as an example, results show that the emissions of SO2, NOx, VOCs, NH3, PM2.5, PM10 and CO in Guangdong Province are about 180, 985, 1,989, 390, 270, 750 and 2844 thousand tons respectively. In this case, SO2 and CO mainly come from industrial sources, NOx and PM2.5 mainly come from mobile sources, VOCs mainly come from natural sources, NH3 mainly comes from agricultural sources, and PM10 mainly comes from dust sources. The study raises a method of uncertainty grading evaluation and conducts a simulation verification of emission inventory accuracy. Results suggest that the emission inventory can reflect the emission status in 2020, but the quality of environmental management data of residential sources, dust sources and eastern Guangdong region still needs to be improved, and the pollution source control strategy of such sources or the region needs to be strengthened.