Song Liying, Song Hongqing, Lin Jingyi, Wang Cheng, Yu Mingxu, Huang Xiaoxia, Guan Yu, Wang Xing, Du Li
Dongling School of Economics and Management, University of Science and Technology Beijing, Beijing, China.
School of Civil and Environmental Engineering, University of Science and Technology Beijing, Beijing, China.
Environ Sci Pollut Res Int. 2017 Apr;24(12):11206-11214. doi: 10.1007/s11356-017-8755-5. Epub 2017 Mar 14.
Beijing-Tianjin-Hebei (BTH) region in China is affected seriously by the hazy weather that has a large impact on human health. PM is one of the most important reasons for hazy weather. Understanding the PM emission characteristics from different types of heavy-duty trucks (HDTs) is valuable in policies and regulations to improve urban air quality and mitigate vehicle emission in China. The investigation and analysis on HDT population and PM emission in BTH region are carried out. The results show that the population and PM emission of HDTs in BTH has risen for the last four consecutive years, from 404 thousand and 1795 tons in 2012 to 551 thousand and 2303 tons in 2015. The PM emission from HDTs in Hebei is about 10 times more than that of Beijing and 9 times more than that of Tianjin. The proportion of natural gas HDTs is about 5%; however, its PM emission only accounts for 0.94% in 2015, which indicates the utilization of HDTs powered by natural gas facilitate PM mitigation more than diesel in BTH. The tractor and pickup trucks are the main source of PM emission from different types of HDT, while special and dump trucks are relatively clean. This study has provided insights for management method and policy-making of vehicle in terms of environmental demand.
中国京津冀地区深受雾霾天气影响,雾霾对人类健康有重大影响。颗粒物是造成雾霾天气的最重要原因之一。了解不同类型重型卡车的颗粒物排放特征,对于中国改善城市空气质量和减少车辆排放的政策法规具有重要价值。本文对京津冀地区重型卡车保有量及颗粒物排放进行了调查与分析。结果表明,京津冀地区重型卡车保有量和颗粒物排放量连续四年呈上升趋势,从2012年的40.4万辆和1795吨增至2015年的55.1万辆和2303吨。河北重型卡车的颗粒物排放量约为北京的10倍、天津的9倍。天然气重型卡车占比约为5%;然而,其颗粒物排放在2015年仅占0.94%,这表明在京津冀地区,天然气动力重型卡车比柴油动力卡车更有助于减少颗粒物排放。牵引车和皮卡是不同类型重型卡车中颗粒物排放的主要来源,而特种卡车和自卸卡车相对清洁。本研究为基于环境需求的车辆管理方法和政策制定提供了参考。