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Atmospheric Chemistry and Physics An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/acp-2016-460
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/acp-2016-460
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

  15 Jun 2016

15 Jun 2016

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This preprint was under review for the journal ACP but the revision was not accepted.

Evaluating Vehicle Emission Control Policies using on-Road Mobile Measurements and Continuous Wavelet Transform: a Case Study during the Asia-Pacific Economic Cooperation Forum, China 2014

Ziqiang Tan1, Yanwen Wang1, Chunxiang Ye2, Yi Zhu1, Yingruo Li1, Pengfei Liang1, Qi Wang1, Yiqun Han1, Yanhua Fang1, Junxia Wang1, Lei Meng3, Yao Wang3, and Tong Zhu1,4 Ziqiang Tan et al.
  • 1State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China
  • 2School of Chemistry, University of Leeds, Leeds, LS2 9JT, UK
  • 3The Beijing Meteorological Service, Beijing, China
  • 4The Beijing Innovation Center for Engineering Science and Advanced Technology, Peking University, Beijing, China

Abstract. Vehicle emissions are major sources of atmospheric pollutants in urban areas, especially in megacities around the world. Various vehicle emission control policies have been implemented to improve air quality. However, the effectiveness of these policies is unclear, due to a lack of systematic evaluation and sound methodologies. During the Asia-Pacific Economic Cooperation (APEC) Forum, China 2014, the Chinese government implemented the strictest vehicle emission control policy in the country's history, which provided an opportunity to evaluate its effectiveness, based on our recently developed method. To evaluate the vehicle emission reduction, we used a mobile research platform to measure the main air pollutants (PM2.5, black carbon (BC), SO2, CO, NOx and O3) on the 4th ring road of the city of Beijing, combined with a continuous wavelet transform method (CWT) to separate out "instantaneous emissions" by passing vehicles. The results suggested that our measurements captured the spatial distribution and variation of atmospheric pollutant concentrations on the 4th ring road. The "instantaneous concentration" decomposed by the CWT method represents on-road emissions better than other methods reported in the literature. With this method, we found that the daytime vehicle emission of CO and NOx decreased by 28.1 and 16.3 %, respectively, during the APEC period relative to the period before APEC, and by 39.3 and 38.5 %, respectively, relative to the period after APEC. The nighttime vehicle emissions of CO and NOx decreased by 56.0 and 60.7 %, respectively, during the APEC period relative to the period after APEC. Because vehicle emissions of NOx and CO contribute considerably to the total emissions of these pollutants in Beijing, the vehicle emission control policy implementation was extremely successful in controlling air quality during APEC 2014, China.

Ziqiang Tan et al.

Ziqiang Tan et al.

Ziqiang Tan et al.

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We used mobile research platform to evaluate the effectiveness of the strictest vehicle emission control policies ever applied in China during the Asia-Pacific Economic Cooperation Forum, Beijing, China 2014. We applied the continuous wavelet transform (CWT) method to decompose on-road measured concentrations of major air pollutants, and used high frequency signals of the concentrations to represent the "instantaneous emission" from vehicles.
We used mobile research platform to evaluate the effectiveness of the strictest vehicle emission...
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