青岛市机动车排放清单与空间分布特征孙世达姜巍高卫东.pdf

2017,37(1) 49~59 China Environmental Science * , , (, 250022) 2000~2014 ,, ,COPERT GIS 0.02°×0.02°., COVOCs SO 2000 168.68,33.57,5.27kt 2014 155.14,17.51,2.44kt,NO PM CO 2 x 10 2 23.88,1.22,2647.32kt 57.82,2.76,17736.06kt.,CO VOCs ,NO PM x 10 , CO2 SO2 . ,., . X511 A 2017 * Vehicle emission inventory and spatial distribution in Qingdao. SUN Shi-da, JIANG Wei , GAO Wei-dong (School of Resources and Environment, University of Jinan, Jinan 250022, China). China Environmental Science, 2017,37(1)49~59 Abstract According to the variation of vehicle populations, vehicle-use intensity, emission standards and fuel quality, high-resolution vehicle emission inventory of 0.02°×0.02 grid in Qingdao from 2000 to 2014 were developed by COPERT model and GIS, considering the differences of driving conditions and trip rates for each vehicle type in urban road, suburban road and highway. Results show that total emissions of CO, VOCs and SO2 decreased from 168.68kt, 33.57kt and 5.27kt to 155.14kt, 17.51kt and 2.44kt during the period of 2000 to 2014, while NO , PM and CO increased from x 10 2 23.88kt, 1.22kt and 2647.32kt to 57.82kt, 2.76kt and 17736.06kt at the same period. Passenger cars and motorcycles were the major contributors to CO and VOCs emissions, NOx and PM 10 mainly came from buses and heavy duty trucks, while passenger cars and heavy duty trucks were main sources of CO and SO . For spatial distributions, vehicle emissions