| 北京市2017年典型日机动车动态排放特征研究 |
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| 引用本文： | 王燕军,何巍楠,宋国华,唐祎骕,李刚,张诗海,张鹤丰.北京市2017年典型日机动车动态排放特征研究[J].环境科学研究,2021,34(1):141-148. |
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| 作者姓名： | 王燕军 何巍楠 宋国华 唐祎骕 李刚 张诗海 张鹤丰 |
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| 作者单位： | 中国环境科学研究院, 国家环境保护机动车污染控制与模拟重点实验室, 北京 100012;北京交通发展研究院, 城市交通节能减排检测与评估北京市重点实验室, 北京 100073;北京交通大学, 综合交通运输大数据应用技术交通运输行业重点实验室, 北京 100044;中国环境科学研究院, 国家环境保护机动车污染控制与模拟重点实验室, 北京 100012;国家大气污染防治攻关联合中心, 北京 100012 |
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| 基金项目： | 国家重点研发计划项目（No.2016YFC0201504）；移动源污染排放控制技术国家工程实验室开放基金资助项目（No.NELMS2018C04）；大气重污染成因与治理攻关项目（No.DQGG0207） |
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| 摘 要： | 为深入了解北京市路网机动车排放特征，采用自主开发的基于交通流的机动车动态排放模型，耦合北京市2017年交通流观测数据，测算了北京市机动车在工作日、非工作日、节假日、重污染日和重大活动日5种典型日工况下，主要路网上1 h时间分辨率、1 km×1 km空间分辨率下的时空分布特征.结果表明:①北京市二环路及以内区域和二三环之间(包括三环路)机动车排放强度较高，分别达到0.050和0.043 t/(km2·d).②北京市机动车NOx排放分布规律性较强，主要分布在东南六环路方向及其联络线，以及东北、西北六环路方向及其联络线上，NOx排放高峰值在05:00出现.③北京市机动车CO排放主要集中在城区五环路及以内区域，CO排放高峰值在18:00出现，五环路及以内区域及其联络线附近均为CO高排放区.④北京市5种典型日中，非工作日机动车排放量最大.研究显示，五环路及以内区域机动车污染控制应以轻型车为主，六环路及以外区域应以重型柴油车为主.
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| 关 键 词： | 北京市 交通流 动态排放 典型日 |
| 收稿时间： | 2020/11/10 0:00:00 |
| 修稿时间： | 2020/12/17 0:00:00 |
Vehicular Dynamic Emission Characteristics of Typical Days in Beijing in 2017 |
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| WANG Yanjun,HE Weinan,SONG Guohu,TANG Yisu,LI Gang,ZHANG Shihai,ZHANG Hefeng.Vehicular Dynamic Emission Characteristics of Typical Days in Beijing in 2017[J].Research of Environmental Sciences,2021,34(1):141-148. |
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| Authors: | WANG Yanjun HE Weinan SONG Guohu TANG Yisu LI Gang ZHANG Shihai ZHANG Hefeng |
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| Institution: | State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;Beijing Key Laboratory of Transport Energy Conservation and Emission Reduction, Beijing Transport Institute, Beijing 100073, China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China; State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation, Chinese Research Academy of Environmental Sciences, Beijing 100012, China;National Joint Research Center for Tackling Key Problems in Air Pollution Control, Beijing 100012, China |
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| Abstract: | In order to fully understand the real-time emissions of vehicles in Beijing, the traffic dynamic emission characteristics of five typical kinds of days (working days, non-working days, heavy pollution days, festival and big-event days in 2017) were studied with a self-developed dynamic vehicle emission model coupled with the dynamic traffic flows in different times and regions on a grid of one hour and 1 km×1 km on the main road website in Beijing. The vehicular emission spatial-temporal distribution analysis showed that the vehicle emission intensities within the inner 2nd ring road area (including the 2nd ring road) and the area between the 2nd ring road and 3rd ring road (including the 3rd road) were 0.050 and 0.043 t/(km2·d), respectively. The distribution of NOx emission was very regular. It was mainly distributed at the southeast 6th ring road and outside the 6th ring road in the northeast and northwest with the traffic links, and always reached the highest emission level at 05:00 of the day. CO emissions were mainly concentrated in the urban areas within the 5th ring road, and the emissions reached a peak within the entire inner 5th ring road area (including the 5th ring road) and the traffic links at 18:00. Non-working days had the highest vehicle emissions among the five typical traffic mode days in Beijing. The results showed that light-duty vehicles should be the main target of emission management within the inner 5th ring road (including the 5th ring road), while heavy-duty diesel vehicles should be the main target of emission management outside the 6th ring road (including the 6th ring road). |
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| Keywords: | Beijing traffic flow dynamic emission typical days |
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