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基于交通流监测数据的成都市道路车辆高分辨率排放清单编制方法

[Method for High-resolution Emission Inventory for Road Vehicles in Chengdu Based on Traffic Flow Monitoring Data].

作者信息

Pan Yu-Jin, Li Yuan, Chen Jun-Hui, Shi Jia-Cheng, Tian Hong, Zhang Ji, Zhou Jing, Chen Xia, Liu Zheng, Qian Jun

机构信息

Sichuan Research Institute of Environment Protection, Chengdu 610041, China.

Sichuan Environmental Protection Research Laboratory of Moving Source Pollution Control, Chengdu 610041, China.

出版信息

Huan Jing Ke Xue. 2020 Aug 8;41(8):3581-3590. doi: 10.13227/j.hjkx.202002082.

DOI:10.13227/j.hjkx.202002082
PMID:33124331
Abstract

A method for developing a high-resolution emission inventory for road vehicles based on traffic flow monitoring data is proposed in this study. The characteristics of road traffic flow were analyzed and a high-resolution emission inventory of vehicle in Chengdu was established. The results showed that the traffic flow and emissions in Chengdu exhibited an obvious "double peak" distribution, and that the traffic volume of vehicles during peak hours accounted for 39.85% of the total. China IV vehicles, small vehicles, and gasoline vehicles were the main types of road vehicles classified. The daily emissions of SO, NO, CO, PM, PM, BC, OC, and VOCs from road vehicles were 3.89, 162.08, 324.11, 4.79, 4.36, 1.89, 0.78, and 44.37 t, respectively. The overall spatial distribution showed a decreasing trend from the city center to the periphery, and the time distribution essentially presented a "double peak" distribution. The related indicators of particulate matter were greatly affected by the number of trucks. The main source of NO, PM, PM, BC, and OC was large diesel vehicles, and the main source of CO was small gasoline vehicles. NO emissions from large vehicles accounted for up to 80% of the total. The method based on registered vehicles led to an overestimation of the emissions from road vehicles in Chengdu, with a proportion between 1% and 30%.

摘要

本研究提出了一种基于交通流监测数据开发道路车辆高分辨率排放清单的方法。分析了道路交通流特征,建立了成都市车辆高分辨率排放清单。结果表明,成都市交通流和排放呈现明显的“双峰”分布,高峰时段车流量占总量的39.85%。国四车辆、小型车辆和汽油车是道路车辆的主要分类类型。道路车辆SO、NO、CO、PM、PM、BC、OC和VOCs的日排放量分别为3.89、162.08、324.11、4.79、4.36、1.89、0.78和44.37吨。总体空间分布呈现出从市中心向周边递减的趋势,时间分布基本呈现“双峰”分布。颗粒物相关指标受货车数量影响较大。NO、PM、PM、BC和OC的主要来源是大型柴油车,CO的主要来源是小型汽油车。大型车辆的NO排放量占总量的比例高达80%。基于注册车辆的方法导致成都市道路车辆排放量高估,高估比例在1%至30%之间。

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