Xu Xiao-Fan, Wang Bao-Qing, Wu Jun-Cheng, Li Yi-Nuo
College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China.
State Environment Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention, Tianjin 300350, China.
Huan Jing Ke Xue. 2023 Mar 8;44(3):1357-1367. doi: 10.13227/j.hjkx.202204226.
Based on the comprehensive development of the emission inventory of air pollution sources, the emission inventory of self-owned mobile sources of Tianjin coastal ports was researched and formulated. In this study, a gridded emission inventory with a resolution of 3 km×3 km was established for six types of air pollutants from road and non-road mobile sources. The spatial and temporal distribution characteristics of pollutant emissions were analyzed, and the uncertainty of the inventory was analyzed using the Monte Carlo method. The results showed that in 2020, the self-owned mobile sources of coastal ports emitted 148.22 t PM, 135.34 t PM, 1061.04 t SO, 4027.16 t NO, 756.60 t CO, and 237.07 t VOCs, of which the total emissions of road and non-road mobile sources accounted for 6.66% and 93.34% of the mobile source emissions, respectively. The main contributors to motor vehicle pollutant emissions from road mobile sources in the whole port area were small, medium, and large passenger vehicles (gasoline) and heavy trucks (diesel). The main contributors to the pollutants emitted by non-road mobile sources were ships and construction machinery. Uncertainty analysis results showed that the overall uncertainty of mobile sources ranged from -13.3% to 16.53%.
基于大气污染源排放清单的全面发展，对天津沿海港口自有移动源排放清单进行了研究编制。本研究针对道路和非道路移动源的六种空气污染物建立了分辨率为3 km×3 km的网格化排放清单。分析了污染物排放的时空分布特征，并采用蒙特卡罗方法分析了清单的不确定性。结果表明，2020年沿海港口自有移动源排放颗粒物148.22吨、细颗粒物135.34吨、二氧化硫1061.04吨、氮氧化物4027.16吨、一氧化碳756.60吨、挥发性有机物237.07吨，其中道路和非道路移动源排放总量分别占移动源排放的6.66%和93.34%。全港区域道路移动源机动车污染物排放的主要贡献者为小型、中型和大型客车（汽油）以及重型卡车（柴油）。非道路移动源排放污染物的主要贡献者为船舶和施工机械。不确定性分析结果表明，移动源的总体不确定性范围为-13.3%至16.53%。
