Analysis of the National Air Pollutant Emission Inventory (CAPSS 2016) and the Major Cause of Change in Republic of Korea
Seongwoo Choi, Taekyu Kim, Hyang-kyeong Lee, Hyung-cheon Kim, Jihyun Han, Kyoung-bin Lee, Eun-hyouck Lim, Sangho Shin, Hyungah Jin, Eugene Cho, Young‐Min Kim, Chul Yoo
Abstract
Abstract In 2016, air pollutant emissions in the Republic of Korea were 795,044 metric tons (hereafter tons) of CO, 1,248,309 tons of NO x , 358,951 tons of SO x , 611,539 tons of TSP, 233,085 tons of PM 10 , 100,247 tons of PM 2.5 , 16,401 tons of BC, 1,024,029 tons of VOCs, and 301,301 tons of NH 3 . Including energy production, thirteen emission sources, which comprise the national air pollutant emission inventory, were classified by their characteristics into five sectors (Energy, Industry, Road, Non-road, and Everyday Activities and Other Emission Sources) to analyze their relative contributions to the national emissions. Specifically, their contributions by pollutant were as follows: NO x (11.0%), SO x (21.9%), PM 2.5 (3.2%), VOCs (0.8%), NH 3 (0.5%) from the energy sector; NO x (20.2%), SO x (59.7%), PM 2.5 (42.1%), VOCs (24.3%), and NH 3 (14.4%) from the industry sector; NO x (36.3%), SO x (0.1%), PM 2.5 (9.7%), VOCs (4.6%), and NH 3 (1.7%) from the road sector; NO x (24.8%), SO x (11.5%), PM 2.5 (14.3%), VOCs (4.0%), and NH 3 (0.04%) from the non-road sector; and NO x (7.6%), SO x (6.7%), PM 2.5 (30.6%), VOCs (66.3%), and NH 3 (83.4%) from the everyday activities and other emission sources sector. The data we calculate are used as official national emissions data for the establishment, implementation, and assessment of national atmospheric environment policy to improve air quality. As critical and necessary materials, the data are also utilized on a wide range of studies on policies such as customized regional particulate matter reduction measures. Thus, it is crucial to estimate highly reliable national emissions by enhancing the emissions factors and inventory and to establish a scientific emissions testing system by using air quality modeling and satellite data.