| 京津冀地区黄标车政策的总量减排效益评估 |
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| 引用本文： | 卢亚灵,周佳,程曦,张伟,蒋洪强.京津冀地区黄标车政策的总量减排效益评估[J].环境科学,2018,39(6):2566-2575. |
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| 作者姓名： | 卢亚灵 周佳 程曦 张伟 蒋洪强 |
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| 作者单位： | 环境保护部环境规划院国家环境保护环境规划与政策模拟重点实验室;天津大学环境科学与工程学院;南京大学环境学院 |
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| 基金项目： | 国家重点研发计划项目（2016YFC0208400）；美国能源基金会项目（G-1607-24908）；国家自然科学基金项目（41571522，71433007） |
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| 摘 要： | 为评估黄标车提前淘汰补贴和禁行政策的实施效果,并对这两种政策进行比较,在梳理京津冀地区相关政策措施的基础上,采用排放因子法评估其总量减排效益.结果表明:(1)京津冀地区黄标车淘汰政策有较好的减排效益,政策实施以来CO、HC、NO_x、PM_(2.5)、PM_(10)累计减排量分别为500.32、39.79、31.82、0.96、1.06万t.(2)黄标车政策减排效益最突出的污染物为CO、HC、NO_x,为大气污染总量减排作出较大贡献.(3)小型载客与轻型载货汽油车是CO与HC的减排主体,重型载货柴油车是NO_x和颗粒物的主要减排贡献车型.(4)京津冀13个城市,道路密集的城区减排更明显.北京市、天津市、石家庄市CO、HC减排较其他城市更显著,天津市、石家庄市、唐山市、邯郸市NO_x和颗粒物减排更显著.(5)提前淘汰补贴和禁行两个政策相比,前者减排效益具有时间延续性,在政策实施后几年效益仍较明显;后者在政策实施前期减排效益明显,随时间而衰减.各地在制定黄标车与老旧机动车政策时,建议前期加强禁行政策、后期加强淘汰补贴政策执行力度.
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| 关 键 词： | 减排效益 黄标车 提前淘汰补贴政策 禁行政策 京津冀 |
| 收稿时间： | 2017/9/23 0:00:00 |
| 修稿时间： | 2017/12/15 0:00:00 |
Emission Reduction Benefits When Eliminating Yellow-label Vehicles in the Jing-jin-ji Region |
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| LU Ya-ling,ZHOU Ji,CHENG Xi,ZHANG Wei and JIANG Hong-qiang.Emission Reduction Benefits When Eliminating Yellow-label Vehicles in the Jing-jin-ji Region[J].Chinese Journal of Environmental Science,2018,39(6):2566-2575. |
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| Authors: | LU Ya-ling ZHOU Ji CHENG Xi ZHANG Wei and JIANG Hong-qiang |
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| Institution: | State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environment Planning, Beijing 100012, China;School of Environmental Science and Engineering, Tianjin University, Tianjin 300072, China,School of the Environment, Nanjing University, Nanjing 210023, China,State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environment Planning, Beijing 100012, China,State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environment Planning, Beijing 100012, China;School of the Environment, Nanjing University, Nanjing 210023, China and State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation, Chinese Academy for Environment Planning, Beijing 100012, China |
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| Abstract: | |
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| Keywords: | emission reduction benefit yellow-label vehicle the early elimination subsidy policy the traffic restriction policy Jing-jin-ji Region |
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