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中国郑州精细化 2013 年车辆排放清单及其时空特征。

Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China.

机构信息

Research Institute of Environmental Science, College of Chemistry and Molecular Engineering, Zhengzhou University, Zhengzhou 450001, China.

Research Institute of Environmental Science, College of Chemistry and Molecular Engineering, Zhengzhou University, Zhengzhou 450001, China.

出版信息

Sci Total Environ. 2017 Dec 1;599-600:1149-1159. doi: 10.1016/j.scitotenv.2017.03.299. Epub 2017 May 13.

DOI:10.1016/j.scitotenv.2017.03.299
PMID:28511360
Abstract

Vehicle emission is becoming one of the most important pollution sources because of the increase in vehicle population and activity in China. A more reasonable and complete vehicle emission inventory in Zhengzhou for the year 2013 was developed in this study. This inventory is suitable for local emission factors and vehicle kilometers of travel. Estimates show that the total carbon monoxide (CO), hydrocarbon (HC), nitrogen oxide (NO), particulate matter (PM and PM) and sulfur dioxide (SO) emissions were 291Gg, 35Gg, 106Gg, 6Gg, 7Gg, and 3Gg, respectively. Approximately 55% of CO and HC emissions were from light duty gasoline vehicles and normal gasoline motorcycles, whereas approximately 60% of NO, PM, PM and SO were from heavy duty diesel vehicles, heavy duty diesel trucks, and medium duty diesel trucks. The spatial distribution of emissions was allocated in grid cells based on a road network and traffic flows with a resolution of 1km×1km at different road types and locations, which shows that the six aforementioned air pollutants have similar characteristics in administrative districts. Emissions are mainly concentrated on the central grid cells of each part and in good agreement with line sources. The spatial characteristics were compared at a resolution of 3km×3km and in a population-based approach. The network approach yields better level estimates in this study. Meanwhile, the preliminary temporal profiles were also established for on-road mobile source.

摘要

由于中国汽车保有量和活动的增加,车辆排放正成为最重要的污染源之一。本研究开发了更合理、更完整的 2013 年郑州车辆排放清单。该清单适用于本地排放因子和车辆行驶里程。估计显示,一氧化碳(CO)、碳氢化合物(HC)、氮氧化物(NO)、颗粒物(PM 和 PM)和二氧化硫(SO)的总排放量分别为 291Gg、35Gg、106Gg、6Gg、7Gg 和 3Gg。大约 55%的 CO 和 HC 排放量来自轻型汽油车和普通汽油摩托车,而大约 60%的 NO、PM、PM 和 SO 来自重型柴油车、重型柴油卡车和中型柴油卡车。根据道路网络和交通流量,排放的空间分布在不同道路类型和位置的 1km×1km 网格单元中进行分配,这表明这六种空气污染物在行政区具有相似的特征。排放主要集中在每个部分的中心网格单元,与线源很好地吻合。在 3km×3km 的分辨率和基于人口的方法上比较了空间特征。在本研究中,网络方法产生了更好的水平估计。同时,还建立了道路移动源的初步时间分布。

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