江苏省高时空分辨率机动车排放清单构建及特征

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Abstract In this study, the traditional methodological framework was systematically optimized by considering month-by-month emission calculation, mileage weighting, and traffic data integration to address the low spatiotemporal resolution associated with the top-down method of establishing vehicle emission inventory. Based on this, the vehicle emission inventory in Jiangsu Province in 2018 was developed, and the structural level characteristics, socio-economic correlation, and spatiotemporal distribution of emissions were analyzed. Vehicle emissions of CO, VOCs, NO_x, and PM_2.5 in Jiangsu Province were 839.97, 166.80, 617.16, and 21.15kt, respectively, in 2018. CO and VOCs were mainly contributed by gasoline cars, while NO_x and PM_2.5 were mainly contributed by heavy-duty diesel trucks. Higher emission contribution was exhibited by vehicles that met China 3 (or below) standard than their vehicle population shares, and vehicle emissions in winter were higher than in other seasons. At the city level, vehicle emissions were concentrated in Suzhou, Wuxi, Nanjing, Xuzhou, Nantong, Lianyungang, and Changzhou, and the correlation between CO and VOC emissions per capita and road emissions intensity was higher than that of NO_x and PM_2.5. Vehicle emissions were highly correlated with GDP and the size of the built-up area. Vehicle CO and VOC emissions were concentrated in the urban area, while NO_x and PM_2.5 emissions were distributed in strips. Additionally, the "two peaks and one valley" characteristic was demonstrated by the temporal profile of daily emissions.

Key words： vehicle emissions air pollutants emission inventory high spatiotemporal resolution Jiangsu Province

Received: 29 January 2023

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X511

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	SUN Shi-da
	WANG Bo
	SUN Lu-na
	HUANG Xu
	WANG Xing-xing
	ZHANG Shi-da
	BO Yu

Cite this article:

SUN Shi-da,WANG Bo,SUN Lu-na等. Development and characteristics of vehicle emission inventory with high spatiotemporal resolution in Jiangsu Province[J]. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(9): 4490-4502.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2023/V43/I9/4490

[1]	Sun S D, Sun L N, Liu G, et al. Developing a vehicle emission inventory with high temporal-spatial resolution in Tianjin, China[J]. Science of the Total Environment, 2021,776:145873.
[2]	Zheng B, Huo H, Zhang Q, et al. High-resolution mapping of vehicle emissions in China in 2008[J]. Atmospheric Chemistry and Physics, 2014,14(18):9787-9805.
[3]	Zou C, Wu L, Wang Y N, et al. Evaluating traffic emission control policies based on large-scale and real-time data:a case study in central China[J]. Science of the Total Environment, 2023,860:160435.
[4]	Lang J L, Cheng S Y, Zhou Y, et al. Air pollutant emissions from on-road vehicles in China, 1999-2011[J]. Science of the Total Environment, 2014,496:1-10.
[5]	Jiang P Y, Zhong X, Li L Y. On-road vehicle emission inventory and its spatio-temporal variations in North China Plain[J]. Environmental Pollution, 2020,267:115639.
[6]	李媛,石嘉诚,陈军辉,等.2010~2017年四川省机动车污染物排放趋势分析[J]. 环境科学, 2021,42(2):643-652. Li Y, Shi J C, Chen J H, et al. Trends in vehicle emissions in Sichuan province, 2010~2017[J]. Environmental Science, 2021,42(2):643-652.
[7]	Sun S D, Zhao G, Wang T, et al. Past and future trends of vehicle emissions in Tianjin, China, from 2000 to 2030[J]. Atmospheric Environment, 2019,209:182-191.
[8]	Jia T, Li Q, Shi W Z. Estimation and analysis of emissions from on-road vehicles in Mainland China for the period 2011~2015[J]. Atmospheric Environment, 2018,191:500-512.
[9]	陶双成,邓顺熙,郝艳召,等.关中城市群道路移动源气态污染物排放特征[J]. 中国环境科学, 2019,39(2):542-553. Tao S C, Deng S X, Hao Y Z, et al. Vehicle emission characteristics of gaseous pollutants in Guanzhong urban agglomeration[J]. China Environmental Science, 2019,39(2):542-553.
[10]	生态环境部.关于发布《大气可吸入颗粒物一次源排放清单编制技术指南(试行)》等5项技术指南的公告[EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm. Ministry of Ecology and Environment. Announcement on releasing five national technical guidelines of air pollutant emissions inventory[EB/OL]. http://www.mee.gov.cn/gkml/hbb/bgg/201501/t20150107_293955.htm.
[11]	Liu G, Sun S D, Zou C, et al. Air pollutant emissions from on-road vehicles and their control in Inner Mongolia, China[J]. Energy, 2022,238:121724.
[12]	Yan L, Zheng B, Geng G N, et al. Evaporation process dominates vehicular NMVOC emissions in China with enlarged contribution from 1990 to 2016[J]. Environmental Research Letters, 2021,16(12):124036.
[13]	李荔,张洁,赵秋月,等.基于COPERT模型的江苏省机动车时空排放特征与分担率[J]. 环境科学, 2018,39(9):3976-3986. Li L, Zhang J, Zhao Q Y, et al. Vehicle exhaust emission characteristics and their contributions in Jiangsu province[J]. Environmental Science, 2018,39(9):3976-3986.
[14]	宋翔宇,谢绍东.中国机动车排放清单的建立[J]. 环境科学, 2006, 27(6):1041-1045. Song X Y, Xie S D. Development of vehicular emission inventory in China[J]. Environmental Science, 2006,27(6):1041-1045.
[15]	Gong M M, Yin S S, Gu X K, et al. Refined 2013-based vehicle emission inventory and its spatial and temporal characteristics in Zhengzhou, China[J]. Science of the Total Environment, 2017,599-600:1149-1159.
[16]	Zheng J Y, Che W W, Wang X M, et al. Road-network-based spatial allocation of on-road mobile source emissions in the Pearl River Delta Region, China, and comparisons with population-based approach[J]. Journal of the Air & Waste Management Association, 2012,59(12):1405-1416.
[17]	Li S Y, Lang J L, Zhou Y, et al. Trends in ammonia emissions from light-duty gasoline vehicles in China, 1999~2017[J]. Science of the Total Environment, 2020,700:134359.
[18]	Song H, Deng S X, Lu Z Z, et al. Scenario analysis of vehicular emission abatement procedures in Xi'an, China[J]. Environmental Pollution, 2021,269:116187.
[19]	Huo H, Zhang Q, He K B, et al. Vehicle-use intensity in China:Current status and future trend[J]. Energy Policy, 2012,43:6-16.
[20]	侯新红,于兴娜,沈丽,等.2013~2017年江苏省人为源氨排放清单的建立及特征[J]. 环境科学, 2019,40(11):4862-4869. Hou X H, Yu X N, Shen L, et al. Establishment and characteristics of an artificial ammonia emissions inventory in Jiangsu province from 2013 to 2017[J]. Environmental Science, 2019,40(11):4862-4869.
[21]	Yang X F, Liu H, Man H Y, et al. Characterization of road freight transportation and its impact on the national emission inventory in China[J]. Atmospheric Chemistry and Physics, 2015,15(4):2105-2118.
[22]	孙世达,姜巍,高卫东.青岛市机动车排放清单与空间分布特征[J]. 中国环境科学, 2017,37(1):49-59. Sun S D, Jiang W, Gao W D, et al. Vehicle emission inventory and spatial distribution in Qingdao[J]. China Environmental Science, 2017, 37(1):49-59.
[23]	南京市公安局.关于优化南京市主城区货车通行管理政策的通告[EB/OL]. http://gaj.nanjing.gov.cn/njsgaj/202112/t20211202_3217723.html. Nanjing Municipal Public Security Bureau. Announcement on optimizing the management policy of truck traffic in the main urban areas in Nanjing[EB/OL]. http://gaj.nanjing.gov.cn/njsgaj/202112/t20211202_3217723.html.
[24]	孙世达,金嘉欣,吕建华,等.基于精细化年均行驶里程建立机动车排放清单[J]. 中国环境科学, 2020,40(5):2018-2029. Sun S D, Jin J X, Lv J H, et al. Developing vehicle emission inventory based on refined annual average vehicle kilometers travelled[J]. China Environmental Science, 2020,40(5):2018-2029.
[25]	王计广,桂华侨,陈金潮,等.唐山市机动车排放清单与减排经济效益研究[J]. 中国环境科学, 2021,41(11):5114-5124. Wang J G, Gui H Q, Chen J C, et al. Vehicle emission inventory and economic benefits of emission reduction in Tangshan[J]. China Environmental Science, 2021,41(11):5114-5124.
[26]	贺克斌,王书肖,张强,等. 城市大气污染物排放清单编制技术手册[R]. 2017. He K B, Wang S X, Zhang Q, et al. Technical manual for developing urban air pollutant emission inventory[R]. 2017.
[27]	江苏省统计局.江苏统计年鉴[M]. 北京:中国统计出版社, 2019. Jiangsu Provincial Bureau of Statistics. Jiangsu statistical yearbook[M]. Beijing:China Statistics Press, 2019.
[28]	孙露娜,仲崇智,孙世达,等.2000~2020年天津市机动车全过程VOCs排放特征及演变[J]. 环境科学, 2023,44(3):1346-1356. Sun L N, Zhong C Z, Sun S D, et al. Evolution and characteristics of full-process vehicular VOC emissions in Tianjin from 2000 to 2020[J]. Environmental Science, 2023,44(3):1346-1356.
[29]	Sun S D, Jin J X, Xia M, et al. Vehicle emissions in a middle-sized city of China:Current status and future trends[J]. Environment International, 2020,137:105514.
[30]	生态环境部.中国移动源环境管理年报[EB/OL]. https://www.mee.gov.cn/hjzl/sthjzk/ydyhjgl/202109/t20210910_920787.shtml. Ministry of Ecology and Environment. China mobile source environmental management annual report[EB/OL]. https://www.mee.gov.cn/hjzl/sthjzk/ydyhjgl/202109/t20210910_920787.shtml.
[31]	交通运输部.交通运输部统计数据[EB/OL]. https://www.mot.gov.cn/tongjishuju/gonglu/. Ministry of Transport. Statistics from the Ministry of Transport[EB/OL]. https://www.mot.gov.cn/tongjishuju/gonglu/.
[32]	高德地图.中国主要城市交通分析报告[EB/OL]. https://report.amap.com/. Auto Navi Map. Traffic analysis report of major cities in China[EB/OL]. https://report.amap.com/.
[33]	范武波,陈军辉,马冬,等.2010~2019年成都市机动车排污特征分析及防控措施减排效果评估[J]. 环境工程学报, 2021,15(2):657-668. Fan W B, Chen J H, Ma D, et al. Characteristics of emissions from vehicles in Chengdu from 2010 to 2019 and evaluation of effectiveness of prevention and control measures[J]. Chinese Journal of Environmental Engineering, 2021,15(2):657-668.
[34]	Sun S D, Jiang W, Gao W D. Vehicle emission trends and spatial distribution in Shandong province, China, from 2000 to 2014[J]. Atmospheric Environment, 2016,147:190-199.
[35]	沈岩,武彤冉,闫静,等.基于COPERT模型北京市机动车大气污染物和二氧化碳排放研究[J]. 环境工程技术学报, 2021,11(6):1075-1082. Shen Y, Wu T R, Yan J, et al. Investigation on air pollutants and carbon dioxide emissions from motor vehicles in Beijing based on COPERT model[J]. Journal of Environmental Engineering Technology, 2021, 11(6):1075-1082.
[36]	新华日报.江苏省下达淘汰黄标车分解任务[EB/OL]. http://www.gov.cn/xinwen/2016-10/26/content_5124525.htm. Xinhua Daily. Jiangsu province issued a breakdown of tasks to phase out yellow labelled vehicles[EB/OL]. http://www.gov.cn/xinwen/2016-10/26/content_5124525.htm.
[37]	新华日报.省委省政府印发《关于深入打好污染防治攻坚战的实施意见》江苏亮出绿色发展"路线图"[EB/OL]. http://www.jiangsu.gov.cn/art/2022/4/17/art_64752_10417458.html?gqnahi=affiy2. Xinhua Daily. Jiangsu province released the "implementation opinions on deepening the battle against pollution prevention and control" showing the "roadmap" for green development[EB/OL]. http://www.jiangsu.gov.cn/art/2022/4/17/art_64752_10417458.html?gqnahi=affiy2.
[38]	刘庚,孙世达,孙露娜,等.天津市2017年移动源高时空分辨率排放清单[J]. 环境科学, 2020,41(10):4470-4481. Liu G, Sun S D, Sun L N, et al. Mobile source emission inventory with high spatiotemporal resolution in Tianjin in 2017[J]. Environmental Science, 2020,41(10):4470-4481.
[39]	国家发展和改革委员会.国家发展改革委关于印发促进综合交通枢纽发展的指导意见的通知[EB/OL]. https://www.ndrc.gov.cn/fggz/zcssfz/zcgh/201304/t20130402_1145676.html?state=123&code=&state=123. National Development and Reform Commission. Circular of the National Development and Reform Commission on the issuance of guiding opinions on developing comprehensive transportation hubs[EB/OL]. https://www.ndrc.gov.cn/fggz/zcssfz/zcgh/201304/t20130402_1145676.html?state=123&code=&state=123.
[40]	郝永佩,宋晓伟,张克新,等.成渝城市群机动车污染特征及减排分析[J]. 生态环境学报, 2020,29(8):1581-1591. Hao Y P, Song X W, Zhang K X, et al. Analysis on the vehicular pollution characteristics and emission reduction in the Chengdu-Chongqing urban agglomeration[J]. Environmental Science, 2020, 29(8):1581-1591.
[41]	Zhang S J, Niu T L, Wu Y, et al. Fine-grained vehicle emission management using intelligent transportation system data[J]. Environmental Pollution, 2018,241:1027-1037.
[42]	张意,吴琳,毛洪钧,等.天津市机动车污染物排放清单及控制对策研究[J]. 南开大学学报(自然科学版), 2017,50(1):90-96. Zhang Y, Wu L, Mao H J, et al. Research on vehicle emission inventory and its management strategies in Tianjin[J]. Acta Scientiarum Naturalium Universitatis Nankaiensis, 2017,50(1):90-96.
[43]	金嘉欣,孙世达,王芃,等.辽宁省2000~2030年机动车排放清单及情景分析[J]. 环境科学, 2020,41(2):665-673. Jin J X, Sun S D, Wang P, et al. Vehicle emission inventory and scenario analysis in Liaoning from 2000 to 2030[J]. Environmental Science, 2020,41(2):665-673.
[44]	Li M, Liu H, Geng G N, et al. Anthropogenic emission inventories in China:a review[J]. National Science Review, 2017,4(6):834-866.
[45]	马冬,高隽,刘敏,等.基于大数据的典型城市轻型客车行驶里程特征研究[J]. 交通节能与环保, 2021,17(6):20-26. Ma D, Gao J, Liu M, et al. Study on the characteristics of light duty vehicle kilometers traveled in typical cities based on big data analysis[J]. Transport Energy Conservation & Environmental Protection, 2021,17(6):20-26.
[46]	Luo Z Y, Wang Y, Lv Z F, et al. Impacts of vehicle emission on air quality and human health in China[J]. Science of the Total Environment, 2022,813:152655.
[47]	徐倩.基于城市交通特征的中国机动车排放清单建立[D]. 广州:暨南大学, 2020. Xu Q. The establishment of China's vehicle emission inventory based on urban traffic characteristics[D]. Guangzhou:Jinan University, 2020.
[48]	王荆玲.长三角机动车污染排放特征及控制政策评价研究[D]. 杭州:浙江大学, 2018. Wang J L. Study and evaluation on pollution characteristics and control policies of motor vehicles in the Yangtze River Delta region[D]. Hangzhou:Zhejiang University, 2018.
[49]	谢轶嵩,杨峰.南京市移动源排放清单建立研究[J]. 安徽农学通报, 2017,23(10):98-101,141. Xie Y S, Yang F. Establishment study on emission inventory of mobile source in Nanjing city[J]. Anhui Agricultural Science Bulletin, 2017,23(10):98-101,141.
[50]	Hao Y P, Song X W. Research on trends and spatial distribution of vehicular emissions and its control measure assessment in the Yangtze River Delta, China, for 1999~2015[J]. Environmental Science and Pollution Research, 2018,25(36):36503-36517.
[51]	程钟,章建宁,周俊,等.常州市大气污染物排放清单及分布特征[J]. 环境监测管理与技术, 2016,28(3):24-28. Cheng Z, Zhang J N, Zhou J, et al. Air pollutant emission inventory and distribution characteristics in Changzhou[J]. The Administration and Technique of Environmental Monitoring, 2016,28(3):24-28.