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Evaluation Method for Nitrogen Oxide Emission Reduction Using Hypothetical Automobile Model: A Case in Guangdong Province

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  • Dakang Wang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Jiwei Shen

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Zirui Zhuang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Tianyu Lu

    (College of Science, Northeastern University, Boston, MA 02115, USA)

  • Xiao Tang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China)

  • Hui Xia

    (Department of Biological, Geological, and Environmental Sciences, University of Bologna, 48123 Ravenna, Italy)

  • Zhaolong Song

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Chenglong Yan

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Zhen Li

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Xiankun Yang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

  • Jinnian Wang

    (School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China
    Institute of Aerospace Remote Sensing Innovations, Guangzhou University, Guangzhou 510006, China)

Abstract

As a key precursor of tropospheric ozone and secondary particulate matter, nitrogen oxides (NO x ) exert significant impacts on air quality. Traffic emissions represent a dominant source of near-surface NO x . The widespread adoption of new energy vehicles (NEVs) has progressively transformed the automobile fleet composition, leading to measurable reductions in NO x emissions. This study developed a NO x emission inventory model to quantify the impact of NEV penetration on emission trends in Guangdong (2013–2022), under the assumption that the emission shares of internal combustion engine vehicles (ICEVs) and NEVs have no significant change in adjacent years. Results demonstrate that total vehicular NO x emissions peaked in 2019 at 55.69 × 10 4 tons (a 16.6% increase from 2018), followed by a consistent decline. ICEVs exhibited a declining emission share from 0.037 × 10 4 tons/year in 2013 to 0.022 × 10 4 tons/year in 2019—a 40.5% reduction, attributable to progressive technological advancements. Following a marginal increase (2019–2021), the emission share declined significantly to 0.019 × 10 4 tons/year in 2022. In contrast, NEVs contributed to emissions reduction, with maximal mitigation observed in 2021 (−0.241 × 10 4 tons). ICEVs initially demonstrated emission reductions (2014–2017), succeeded by a transient increase (11.7 × 10 4 tons through 2021) before resuming decline in 2022. The NEV-driven mitigation effect intensified progressively from 2018 to 2021, with modest attenuation in 2022.

Suggested Citation

  • Dakang Wang & Jiwei Shen & Zirui Zhuang & Tianyu Lu & Xiao Tang & Hui Xia & Zhaolong Song & Chenglong Yan & Zhen Li & Xiankun Yang & Jinnian Wang, 2025. "Evaluation Method for Nitrogen Oxide Emission Reduction Using Hypothetical Automobile Model: A Case in Guangdong Province," Sustainability, MDPI, vol. 17(16), pages 1-16, August.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:16:p:7334-:d:1723944
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    References listed on IDEAS

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