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中国机动车排放清单的建立
引用本文: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.
作者姓名:宋翔宇  谢绍东
作者单位:北京大学环境学院环境模拟与污染控制国家联合重点实验室,北京,100871
基金项目:国家重点基础研究发展计划(973)项目(2002CB211600);国家社会公益研究专项项目(2002DIB50130)
摘    要:以中国2002年各省统计年鉴中关于机动车及道路信息的数据为基础,并根据COPERTⅢ模型计算出的2002年中国各省区各种机动车类型在城区、郊区和高速公路3种行驶工况下的排放因子,应用GIS技术建立了40km×40km的高空间分辨率的中国机动车排放源清单.结果表明,2002年中国机动车排放CO、NOx、NMVOC和PM10的排放总量分别为2 815×104、305×104、461×104和111×104t,主要来源于摩托车和汽油小客车的排放.污染物排放量的空间分布显示出其排放集中于经济发达地区,10.8%、2.2%、9.7%和5.3%的国土面积分别排放了84%的CO、55%的NMVOC、48%的NOx和48%的颗粒物,并呈现出东部高于西部、沿海高于内地的趋势,其中长江三角洲、珠江三角洲和京津地区的排放相对较强.

关 键 词:机动车排放  排放源清单  COPERTⅢ模式  CO  NOx  NMVOC  PM10
文章编号:0250-3301(2006)06-1041-05
收稿时间:5/9/2005 12:00:00 AM
修稿时间:2005-05-092005-08-19

Development of Vehicular Emission Inventory in China
SONG Xiang-yu and XIE Shao-dong.Development of Vehicular Emission Inventory in China[J].Chinese Journal of Environmental Science,2006,27(6):1041-1045.
Authors:SONG Xiang-yu and XIE Shao-dong
Institution:State Joint Key Laboratory of Environmental Simulation and Pollution Control, Department of Environmental Sciences, Peking University, Beijing, China.
Abstract:The vehicular emission inventories with high spatial resolution of 40km x 40km are developed using GIS technique based on the statistic data from yearbooks about vehicles and roads at provincial level in China for the year 2002, and on the emission factors calculated by COPERT III model for each category of vehicles in urban, rural and highway traffic. The results show that the emissions of CO, NOx, NMVOC and PM10 are 28.15, 3.05, 4.61 and 1.11 million tons, respectively, principally from motorcycles and gasoline passenger cars. The emissions concentrate on the developed areas and those from 10.8%, 2.2%, 9.7% and 5.3% of country acreage account for 84% of CO, 55% of NMVOC, 48% of NOx, 48% of PM10 emissions, respectively. The emissions in the east of China and coastal areas are higher than those in the west and hinterland areas. The emission source strengths in the Yangtze River Delta, the Pearl River Delta and Beijing & Tianjin area are the highest.
Keywords:
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