典型文献
Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data
文献摘要：
High-resolution vehicular emissions inventories are important for managing vehicular pol-lution and improving urban air quality.This study developed a vehicular emission inventory with high spatio-temporal resolution in the main urban area of Chongqing,based on real-time traffic data from 820 RFID detectors covering 454 roads,and the differences in spatio-temporal emission characteristics between inner and outer districts were analysed.The re-sult showed that the daily vehicular emission intensities of CO,hydrocarbons,PM2.5,PM10,and NOx were 30.24,3.83,0.18,0.20,and 8.65 kg/km per day,respectively,in the study area during 2018.The pollutants emission intensities in inner district were higher than those in outer district.Light passenger cars(LPCs)were the main contributors of all-day CO emis-sions in the inner and outer districts,from which the contributors of NOx emissions were different.Diesel and natural gas buses were major contributors of daytime NOx emissions in inner districts,accounting for 40.40％,but buses and heavy duty trucks(HDTs)were major contributors in outer districts.At nighttime,due to the lifting of truck restrictions and sus-pension of buses,HDTs become the main NOx contributor in both inner and outer districts,and its three NOx emission peak hours were found,which are different to the peak hours of total NOx emission by all vehicles.Unlike most other cities,bridges and connecting chan-nels are always emission hotspots due to long-time traffic congestion.This knowledge will help fully understand vehicular emissions characteristics and is useful for policymakers to design precise prevention and control measures.
文献关键词：
中图分类号：
作者姓名：
Yonghong Liu;Wenfeng Huang;Xiaofang Lin;Rui Xu;Li Li;Hui Ding
作者机构：
School of Intelligent Systems Engineering,Sun Yat-sen University,Guangzhou 510006,China;Guangdong Provincial Key Laboratory of Intelligent Transportation System,Guangzhou 510006,China;Guangdong Provincial Engineering Research Center for Traffic Environmental Monitoring and Control,Guangzhou 510006,China;Shantou Municipal Urban Public Transportation Management Office,Shantou 515000,China
文献出处：
引用格式：
[1]Yonghong Liu;Wenfeng Huang;Xiaofang Lin;Rui Xu;Li Li;Hui Ding-.Variation of spatio-temporal distribution of on-road vehicle emissions based on real-time RFID data)[J].环境科学学报（英文版）,2022(06):151-162
A类：
LPCs,HDTs
B类：
Variation,spatio,temporal,distribution,emissions,real,RFID,data,High,resolution,vehicular,inventories,important,managing,improving,urban,air,quality,This,study,developed,inventory,main,area,Chongqing,traffic,from,detectors,covering,roads,differences,characteristics,between,inner,outer,districts,were,analysed,sult,showed,that,daily,intensities,hydrocarbons,PM2,PM10,NOx,per,respectively,during,pollutants,higher,than,those,Light,passenger,cars,contributors,all,which,different,Diesel,natural,gas,buses,major,daytime,accounting,heavy,duty,trucks,At,nighttime,due,lifting,restrictions,sus,pension,become,both,its,three,peak,hours,found,total,by,vehicles,Unlike,most,other,cities,bridges,connecting,chan,nels,always,hotspots,long,congestion,knowledge,will,help,fully,understand,useful,policymakers,design,precise,prevention,control,measures
AB值：
0.48077
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