基于减排情景下的泉州市机动车污染物排放控制分析  

Analysis of Vehicle Emission Control Based on Various Control Scenarios in Quanzhou City

作　　者：陈秋兰 CHEN Qiu-lan(Quanzhou Environmental Monitoring Station,Quanzhou,Fujian 362000,Chin)

机构地区：[1]泉州市环境监测站,福建泉州362000

出　　处：《环境监测管理与技术》2018年第4期65-68,共4页The Administration and Technique of Environmental Monitoring

基　　金：福建省环保科技计划基金资助项目(2016R004)

摘　　要：基于情景分析法,设置5种减排情景,估算2020年不同控制情景下泉州市机动车常规污染物排放量,并分析不同减排情景下机动车污染总量的削减比例和不同车型减排量。结果表明:与2015年相比,2020年机动车污染物的排放有明显增加,排放总量为10.98万t,各污染物排放量的增长6.5%~13.7%。情景分析结果显示,实施机动车不同排放控制措施均有一定的减排效果,单一控制措施中,淘汰黄标车的减排量最大;其次是公交车优先情景,公交车优先可以有效降低机动车活动水平;再者是提高排放标准;新能源车替代情景减排量最小,减排潜力大;而综合实施各种措施的效果最为显著。Based on scenario analysis, the vehicle emissions of normal pollutants in Quanzhou in 2020 were estimated in five setting scenarios, the reduction ratio of total vehicle emissions and various vehicles emissions were discussed. The results showed that vehicle emissions would increase significantly in 2020 compared to 2015,the total emission would be 1.098×10^5 tons, the growth rate of each pollutant emissions were in the range of 6.5%～13.7%. Different control measures had good efforts on emission reduction, among which cleaning out “yellow label cars” was the most effective, next was “buses have priority” which could effectively reduce the activity level of vehicles, then was “tightened emissions standards”, new energy vehicles contributed the least emissions and had great potentiality of reduction. When all the measures were comprehensively implemented, the reduction effect was the most significant.

关 键 词：机动车排放污染物 排放清单 情景分析 泉州市 

分 类 号：X734.2[环境科学与工程—环境工程]