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Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China

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  • Xiaowei Song

    (College of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, China
    School of the Environment, Nanjing University, Nanjing 210046, China)

  • Yongpei Hao

    (College of Resources and Environment, Shanxi University of Finance & Economics, Taiyuan 030006, China
    School of Geographic & Oceanographic Sciences, Nanjing University, Nanjing 210046, China)

Abstract

With rapid economic development and urbanization in China, vehicle emissions are increasingly becoming one of the major factors affecting air quality. The Central Plains Urban Agglomeration (CPUA), which has undergone a fast increase in vehicle population and has an advantageous geographical location, was selected as the study area. Vehicle emissions estimated based on the COPERT IV model in this area changed greatly between 1999 and 2015, during which time the emissions of NO x , CO 2 , and NH 3 increased markedly. Passenger cars and light-duty vehicles were the main contributors to pollutants CO and non-methane volatile organic compounds (NMVOC) emissions. Heavy-duty trucks and buses were the important contributors to pollutants NO x , PM 2.5 , and PM 10 . Passenger cars were the major contributors to CO 2 , CH 4 , N 2 O, NH 3 , and SO 2 . The city with the most emissions is Zhengzhou, followed by Luoyang, Shangqiu, and Zhoukou. The spatial distribution of vehicle emissions has formed around or tended to concentrate in urban centers. Then, this study also predicts the vehicle emissions from 2015 to 2025 and designs ten policy scenarios for the prevention and control of emissions to evaluate the emission reduction effect. The radical integrated scenario was most effective for controlling CO, NMVOC, NO x , PM 2.5 , PM 10 , CO 2 , N 2 O, and NH 3 emissions than any one scenario by itself.

Suggested Citation

  • Xiaowei Song & Yongpei Hao, 2021. "Research on the Vehicle Emission Characteristics and Its Prevention and Control Strategy in the Central Plains Urban Agglomeration, China," Sustainability, MDPI, vol. 13(3), pages 1-17, January.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:3:p:1119-:d:484741
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    References listed on IDEAS

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    1. Xiaowei Song & Yongpei Hao & Xiaodong Zhu, 2019. "Air Pollutant Emissions from Vehicles and Their Abatement Scenarios: A Case Study of Chengdu-Chongqing Urban Agglomeration, China," Sustainability, MDPI, vol. 11(22), pages 1-19, November.
    2. Huo, Hong & Zhang, Qiang & He, Kebin & Yao, Zhiliang & Wang, Michael, 2012. "Vehicle-use intensity in China: Current status and future trend," Energy Policy, Elsevier, vol. 43(C), pages 6-16.
    3. Elkhan Richard Sadik-Zada & Mattia Ferrari, 2020. "Environmental Policy Stringency, Technical Progress and Pollution Haven Hypothesis," Sustainability, MDPI, vol. 12(9), pages 1-20, May.
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    Cited by:

    1. Szymon Pawlak & Tomasz Małysa & Angieszka Fornalczyk & Angieszka Sobianowska-Turek & Marzena Kuczyńska-Chałada, 2025. "Analysis of Opportunities to Reduce CO 2 and NO X Emissions Through the Improvement of Internal Inter-Operational Transport," Sustainability, MDPI, vol. 17(13), pages 1-19, June.
    2. Li, Xiang & Yan, Xiaoyu, 2024. "Fast penetration of electric vehicles in China cannot achieve steep cuts in air emissions from road transport without synchronized renewable electricity expansion," Energy, Elsevier, vol. 301(C).
    3. Nikolay Rashevskiy & Natalia Sadovnikova & Tatyana Ereshchenko & Danila Parygin & Alexander Ignatyev, 2023. "Atmospheric Ecology Modeling for the Sustainable Development of the Urban Environment," Energies, MDPI, vol. 16(4), pages 1-24, February.
    4. Hanghun Jo & Heungsoon Kim, 2021. "Developing a Traffic Model to Estimate Vehicle Emissions: An Application in Seoul, Korea," Sustainability, MDPI, vol. 13(17), pages 1-18, August.

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