High spatiotemporal resolution vehicular emission inventory in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) during 2000–2020, China

氮氧化物 北京 环境科学 排放清单 中国 温室气体 大气科学 空气质量指数 气象学 环境工程 化学 地理 物理 生态学 有机化学 考古 生物 燃烧
作者
Chuanyong Zhu,Xinyue Qu,Mengyi Qiu,Changtong Zhu,Chen Wang,Baolin Wang,Lei Sun,Na Yang,Guihuan Yan,Chongqing Xu,Ling Li
出处
期刊:Science of The Total Environment [Elsevier BV]
卷期号:873: 162389-162389 被引量:5
标识
DOI:10.1016/j.scitotenv.2023.162389
摘要

One comprehensive emission inventory of CO, HC, NOX, PM10, PM2.5, BC, CH4, CO2 and N2O with high spatial resolution (0.01° × 0.01°) for 58 cities in Beijing-Tianjin-Hebei and its surrounding areas (BTHSA) during 2000-2020 are developed by using COPERT model and ArcGIS methodology. The results show that vehicular emissions of CO, HC, NOX, PM10, PM2.5, BC and CH4 have begun to decrease or slow their growth rates in recent years due to the implementation of measures to control vehicular emissions. However, vehicular emissions of CO2 increase rapidly due to little fuel economy improvement. Besides, the usage of selective catalytic reduction (SCR) systems by heavy duty truck (HDT) is the main factor impacting the growth trend of vehicular N2O emissions since 2017. By 2020, vehicular emissions of CO, HC, NOX, PM10, PM2.5, BC, CO2, CH4 and N2O are estimated at about 1.65 Mt, 0.35 Mt, 1.39 Mt, 87.44 kt, 55.06 kt, 15.57 kt, 527.71 Mt, 36.20 kt and 8.56 kt, respectively. Therein, China III, IV, IV and IV passenger cars (PCs) are the predominated models for vehicular emissions of CO, HC, CH4 and CO2, accounting for 19.59-28.26 % of the total vehicular emission of corresponding pollutant. Nevertheless, the major contributors of vehicular emissions of NOX, PM10, PM2.5, BC and N2O are China III (29.64 %), III (18.03 %), III (22.81 %), III (42.16 %) and V (22.28 %) HDTs, respectively. The gridded vehicular emissions vary significantly, with emissions of CO, HC, CH4 and CO2 being mainly concentrated in central urban areas of cities (e.g., Beijing, Tangshan, Zhengzhou, Tianjin, Qingdao, Jinan). Nevertheless, the grids with high vehicular emissions of NOX, PM10, PM2.5, BC and N2O are mainly distributed along the expressway and the suburban roads of cities (e.g., Linyi, Tangshan, Jining, Weifang, Shijiazhuang, Tianjin, Baoding). Finally, multi-year uncertainties of vehicular emission inventory are discussed.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Kao应助阿聪采纳,获得10
刚刚
刚刚
Kao应助阿聪采纳,获得10
刚刚
方青松应助阿聪采纳,获得10
1秒前
赘婿应助清爽采纳,获得10
1秒前
3秒前
3秒前
3秒前
NexusExplorer应助科研通管家采纳,获得10
3秒前
李健应助科研通管家采纳,获得10
3秒前
1783332789完成签到,获得积分10
3秒前
Akim应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得30
4秒前
cqk123应助科研通管家采纳,获得10
4秒前
烟花应助科研通管家采纳,获得10
4秒前
情怀应助科研通管家采纳,获得10
4秒前
4秒前
cdercder应助科研通管家采纳,获得10
5秒前
瓶盖应助科研通管家采纳,获得10
5秒前
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
脑洞疼应助科研通管家采纳,获得10
5秒前
自然函发布了新的文献求助10
7秒前
1783332789发布了新的文献求助10
9秒前
10秒前
10秒前
FashionBoy应助ldh采纳,获得30
11秒前
11秒前
幽默鱼完成签到,获得积分10
11秒前
我是老大应助蓝天采纳,获得10
11秒前
蓝天发布了新的文献求助20
15秒前
senli2018发布了新的文献求助10
15秒前
科目三应助senli2018采纳,获得10
16秒前
16秒前
勿念发布了新的文献求助10
17秒前
21秒前
彭于晏应助勿念采纳,获得10
21秒前
21秒前
yiyi关注了科研通微信公众号
22秒前
CipherSage应助caiyuqing采纳,获得10
23秒前
高分求助中
Markov Chain Monte Carlo 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
Pediatric Dermoscopy Trichoscopy & Onychoscopy 2030
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
Handbuch Trainingswissenschaft – Trainingslehre 500
Additive Manufacturing Design and Applications (ASM Handbook, Volume 24A) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7576585
求助须知:如何正确求助?哪些是违规求助? 9156198
关于积分的说明 19587954
捐赠科研通 7160479
什么是DOI,文献DOI怎么找? 3265053
关于科研通互助平台的介绍 2430187
邀请新用户注册赠送积分活动 2255662