| 港口自有移动源大气污染物排放清单 |
| 摘要点击 2583 全文点击 800 投稿时间：2022-04-19 修订日期：2022-06-08 |
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| 中文关键词 港口 移动源 排放清单 时空分布 不确定性分析 |
| 英文关键词 port mobile sources emission inventory spatiotemporal distribution uncertainty analysis |
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| 中文摘要 |
| 基于全面开展大气污染源排放清单编制工作的要求，研究制定了天津市港口自有移动源排放清单.对道路和非道路移动源各源类6种大气污染物建立了分辨率为3 km×3 km的网格化排放清单，并分析其污染物排放时空分布特征，利用蒙特卡罗方法分析了清单的不确定性.结果表明，2020年港口自有移动源共排放PM10 148.22 t、PM2.5 135.34 t、SO2 1061.04 t、NOx 4027.16 t、CO 756.60 t和VOCs 237.07 t，其中道路和非道路移动源污染物总排放量占移动源排放量的比例分别为6.66%和93.34%.全港区自有道路移动源机动车污染物排放的主要贡献源是小型、中型、大型载客汽车（汽油）和重型载货汽车（柴油），非道路移动源排放的各污染物的主要贡献源均是船舶和工程机械.不确定性分析结果表明，移动源总体不确定性范围为-13.3%~16.53%. |
| 英文摘要 |
| 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 PM10, 135.34 t PM2.5, 1061.04 t SO2, 4027.16 t NOx, 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%. |
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