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基于大数据分析和IVE模型的杭州市机动车污染物排放变化特征研究
引用本文:唐伟,杨强,黄成,卢滨,夏阳,井宝莉,卢清,鲁君.基于大数据分析和IVE模型的杭州市机动车污染物排放变化特征研究[J].环境科学学报,2018,38(1):71-78.
作者姓名:唐伟  杨强  黄成  卢滨  夏阳  井宝莉  卢清  鲁君
作者单位:杭州市环境保护科学研究院, 杭州 310014,杭州市环境保护科学研究院, 杭州 310014,上海市环境科学研究院, 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233,杭州市环境保护科学研究院, 杭州 310014,杭州市环境保护科学研究院, 杭州 310014,杭州市环境保护科学研究院, 杭州 310014,1. 上海市环境科学研究院, 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233;2. 环境保护部华南环境科学研究所城市生态环境研究中心, 广州 510655,上海市环境科学研究院, 国家环境保护城市大气复合污染成因与防治重点实验室, 上海 200233
基金项目:国家科技支撑计划(No.2014BAC22B03);杭州市社会发展科研主动设计项目(No.20162013A06);杭州市科技计划引导项目(No.20163501Y53)
摘    要:以杭州市全市域为研究对象,基于机动车排放管理数据库和IVE模型本地化后计算出市区、城区、城郊和郊区4类区域及快速路、主干路和次干路3类道路的各类机动车排放清单,利用Arc GIS及杭州市路网信息建立了1 km×1 km网格化空间分布,分析了机动车污染物排放特征.结果显示,杭州市机动车各污染物NO_x、CO、PM_(2.5)和VOCs的年排放量分别为4.9×10~4、12.5×10~4、0.2×10~4、2.1×10~4t.各种车型中,中重型货车对NO_x和PM_(2.5)的贡献均最大,分别为45.8%和36.3%,其次为大中型客车、公交客运,小微型客车对CO和VOCs的排放贡献最大,分别为69.3%和51.1%.机动车各污染物排放强度均呈现由城市中心向城市边缘递减的趋势,高排放区域集中在城中心及城南和城北区域,同时各污染物排放量日变化特征明显,均出现弱双峰现象.

关 键 词:排放清单  杭州市  机动车污染  空间分布
收稿时间:2017/5/26 0:00:00
修稿时间:2017/6/20 0:00:00

Study on characteristics of pollutant emission from motor vehicles in Hangzhou based on large data analysis and IVE model
TANG Wei,YANG Qiang,HUANG Cheng,LU Bin,XIA Yang,JING Baoli,LU Qing and LU Jun.Study on characteristics of pollutant emission from motor vehicles in Hangzhou based on large data analysis and IVE model[J].Acta Scientiae Circumstantiae,2018,38(1):71-78.
Authors:TANG Wei  YANG Qiang  HUANG Cheng  LU Bin  XIA Yang  JING Baoli  LU Qing and LU Jun
Institution:Hangzhou Institute of Environment Sciences, Hangzhou 310014,Hangzhou Institute of Environment Sciences, Hangzhou 310014,State Environment Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233,Hangzhou Institute of Environment Sciences, Hangzhou 310014,Hangzhou Institute of Environment Sciences, Hangzhou 310014,Hangzhou Institute of Environment Sciences, Hangzhou 310014,1. State Environment Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233;2. Urban Environment and Ecology Research Center, South China Institute of Environmental Science, Ministry of Environmental Protection, Guangzhou 510655 and State Environment Protection Key Laboratory of Formation and Prevention of the Urban Air Complex, Shanghai Academy of Environmental Sciences, Shanghai 200233
Abstract:This study calculate the localized area, urban,rural and suburban areas 4 types of expressway, trunk road and secondary trunk road 3 kinds of vehicle emission inventory in Hangzhou City by using motor vehicle emissions management database and IVE model, to established the distribution of 1 km×1 km grid space by using the information of road network and ArcGIS software, analyzed the emission characteristics of motor vehicle pollution. The results showed that the emissions of NOx, CO, PM2.5 and VOCs were 4.9×104, 12.5×104, 0.2×104, and 2.1×104 t, respectively. The duty trucks contributed mostly in NOx and PM2.5 formation, accounted 45.8% and 36.3%, respectively. The contribution of small cars to CO and VOCs emission were 69.3% and 51.1%, respectively. The motor vehicle pollutant emission intensity decreased from the city center to the edge of the city, high emission regions are concentrated in the city center and the south and north region. At the same time, the diurnal variation of the pollutant discharge is obvious.
Keywords:emission inventory  Hangzhou City  vehicle pollution  spatial allocation
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