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2010—2019年成都市机动车排污特征分析及防控措施减排效果评估
引用本文:范武波, 陈军辉, 马冬, 李媛, 金晨阳, 唐斌雁, 张懿, 蒋文举, 钱骏, 刘政. 2010—2019年成都市机动车排污特征分析及防控措施减排效果评估[J]. 环境工程学报, 2021, 15(2): 657-668. doi: 10.12030/j.cjee.202008009
作者姓名:范武波  陈军辉  马冬  李媛  金晨阳  唐斌雁  张懿  蒋文举  钱骏  刘政
作者单位:1.四川省生态环境科学研究院,成都 610041; 2.四川大学新能源与低碳技术研究院,成都 610041; 3.中国环境科学研究院,北京 100012
摘    要:
为评估2010—2019年成都市机动车防控措施的减排效果,以2010年为基准年,采用排放清单法计算了各减排措施下2019年的减排量,对比分析了4种控制措施的减排效益。结果表明:成都市机动车排污总量逐年下降,2019年PM2.5、NOx、VOCs、CO、SO2和NH3的排放量分别为0.27×104、4.63×104、1.70×104、28.99×104、0.21×104和0.45×104 t,主要分布在中心城区,其中重型货车对PM2.5和NOx贡献最大,小型客车对VOCs、CO、SO2和NH3贡献最大;措施中加严标准的综合减排量最大,重点减排车型为小型客车、轻型货车、公交车等,2019年6种污染物减排量分别为0.14×104、2.27×104、1.29×104、6.77×104、0.07×104和0.38×104 t;优化城市交通管理对小型客车和摩托车的减排效果显著,2019年6种污染物减排量分别为0.04×104、0.81×104、0.38×104、2.55×104、0.05×104和0.04×104 t;淘汰高排放车辆对小型客车、轻型货车等的减排较明显,2019年6种污染物减排放量分别为0.13×104、0.98×104、0.34×104、2.62×104、0.01×104和0.007×104 t;推广清洁能源汽车的重点减排车型为出租车和公交车,虽然可有效减少PM2.5、NOx的排放,但VOCs却有小幅增加,2019年6种污染物减排放量分别为0.12×104、0.62×104、−0.13×104、0.30×104、0.004×104和0.000 5×104 t。

关 键 词:机动车污染   减排措施   减排效果   排放清单   成都市
收稿时间:2020-08-10

Characteristics of emissions from vehicles in Chengdu from 2010 to 2019 and evaluation of effectiveness of prevention and control measures
FAN Wubo, CHEN Junhui, MA Dong, LI Yuan, JIN Chenyang, TANG Binyan, ZHANG Yi, JIANG Wenju, QIAN Jun, LIU Zheng. Characteristics of emissions from vehicles in Chengdu from 2010 to 2019 and evaluation of effectiveness of prevention and control measures[J]. Chinese Journal of Environmental Engineering, 2021, 15(2): 657-668. doi: 10.12030/j.cjee.202008009
Authors:FAN Wubo  CHEN Junhui  MA Dong  LI Yuan  JIN Chenyang  TANG Binyan  ZHANG Yi  JIANG Wenju  QIAN Jun  LIU Zheng
Affiliation:1.Sichuan Academy of Environmental Sciences, Chengdu 610041, China; 2.Institute of New Energy and Low-Carbon Technology, Sichuan University, Chengdu 610041, China; 3.Chinese Research Academy of Environmental Sciences, Beijing 100012, China
Abstract:
The effectiveness of emission reduction by four vehicle exhaust control measures in Chengdu is assessed in this study, using inventory method and comparing the emission reduction in 2019 to a baseline in 2010. Results show that the emissions have decreased in the past decade. The emissions of PM2.5, NOx, VOCs, CO, SO2 and NH3 were 0.27×104, 4.63×104, 1.70×104, 28.99×104, 0.21×104 and 0.45×104 t, respectively, distributed mainly in the center of Chengdu. Heavy trucks and small buses made highest contribution to the emission of PM2.5 and NOx, and VOCs, CO, SO2 and NH3, respectively. Tightening emission and fuel standards are found to be the most effective measure for emission reduction especially of small passenger cars, light duty trucks and buses, and the emission reductions of PM2.5, NOx, VOCs, CO, SO2 and NH3 in 2019 were 0.14×104, 2.27×104, 1.29×104, 6.77×104, 0.07×104 and 0.38×104 t, respectively. Optimizing urban traffic management showed a significant reduction effect on small passenger cars and motorcycles, and the emission reductions of the six pollutants in 2019 were 0.04×104, 0.81×104, 0.38×104, 2.55×104, 0.05×104 and 0.04×104 t, respectively. Eliminating high-emission vehicles played a significant role in reducing emissions from small passenger cars, light trucks, etc., and the emission reductions of six pollutants in 2019 were 0.13×104, 0.98×104, 0.34×104, 2.62×104, 0.01×104 and 0.007×104 t, respectively. Promoting clean energy vehicles showed a reduction effect on taxis and buses. Although this measure can effectively reduce PM2.5 and NOx emissions, the VOCs emissions increased slightly, and the emission reductions of six pollutants in 2019 were 0.12×104, 0.62×104, −0.13×104, 0.30×104, 0.004×104 and 0.0005×104 t, respectively.
Keywords:vehicle pollution  measures of emission reduction  effectiveness of emission reduction  emission inventory  Chengdu City
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