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Development and Application of Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System

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Abstract

This paper reports on the development and application of an urban high temporal-spatial resolution vehicle emission inventory model and decision support system based on the current situation in China and actual vehicle emission control requirements. The system incorporates a user-friendly modular architecture that integrates a vehicle emission model and a decision support platform and includes scenario analysis and visualisation capabilities. A bottom-up approach based on localised emission factors and actual on-road driving condition has been adopted to develop the system. As a case study of application and evaluation, an emission reduction effect analysis of the supposed low-emission zone (LEZ) policy in Beijing (2012) was conducted. According to the simulated results in the forms of tables, histograms and grid maps, the establishment of this LEZ had a definite effect on the emission reduction of various types of air pollutants, especially carbon monoxide and hydrocarbon. In the system, the simulation methodology for identifying environmental benefits brought by the LEZ policy could be used to assess other similar environmental policies. Through flexible modification of configuration values or input data variables, the efficacy of separate or joint policies could be quantifiably evaluated and graphically displayed.

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Acknowledgements

This work was funded by the National Science and Technology Infrastructure Program of China under the grant nos. 2014BAC23B02 and 2014BAC16B03. The authors gratefully acknowledge Transport Research Laboratory (TRL) of the UK for their early development of TEEM model, which provides valuable reference and experience for this work. We also would like to thank the Vehicle Emission Control Centre of China (VECC) and local Environmental Protection Bureau of Beijing, Tianjin, Nanjing, Langfang, Tangshan and Baoding for the testing, application and feedback of the HTSVE system.

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Authors and Affiliations

  1. College of Environmental Science and Engineering, Nankai University (NKU), Tianjin, China

    Yi Zhang, Lin Wu, Chao Zou, Boyu Jing, Xiaoyu Li, Peipei Ren & Hongjun Mao

  2. Transport Research Laboratory (TRL), Wokingham, Berkshire, UK

    Tim Barlow & Turpin Kevin

  3. Transport and Environment Laboratory, IFSTTAR, Bron, France

    Michel André & Yao Liu

  4. Department of Aerospace Engineering, Shenyang Aerospace University (SAU), Shenyang, China

    Gongdong Wang

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  1. Yi Zhang
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  2. Lin Wu
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  3. Chao Zou
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  4. Boyu Jing
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  5. Xiaoyu Li
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  6. Tim Barlow
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  7. Turpin Kevin
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  8. Michel André
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  9. Yao Liu
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  11. Gongdong Wang
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  12. Hongjun Mao
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Correspondence to Hongjun Mao.

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Zhang, Y., Wu, L., Zou, C. et al. Development and Application of Urban High Temporal-Spatial Resolution Vehicle Emission Inventory Model and Decision Support System. Environ Model Assess 22, 445–458 (2017). https://doi.org/10.1007/s10666-017-9551-9

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  • DOI: https://doi.org/10.1007/s10666-017-9551-9

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