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The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China

Author

Listed:
  • Xiao Lu

    (Peking University
    Sun Yat-sen University)

  • Xingpei Ye

    (Peking University)

  • Mi Zhou

    (Peking University)

  • Yuanhong Zhao

    (Ocean University of China)

  • Hongjian Weng

    (Peking University)

  • Hao Kong

    (Peking University)

  • Ke Li

    (Harvard University)

  • Meng Gao

    (Hong Kong Baptist University)

  • Bo Zheng

    (CEA-CNRS-UVSQ)

  • Jintai Lin

    (Peking University)

  • Feng Zhou

    (Peking University)

  • Qiang Zhang

    (Tsinghua University)

  • Dianming Wu

    (East China Normal University)

  • Lin Zhang

    (Peking University)

  • Yuanhang Zhang

    (Peking University)

Abstract

Intensive agricultural activities in the North China Plain (NCP) lead to substantial emissions of nitrogen oxides (NOx) from soil, while the role of this source on local severe ozone pollution is unknown. Here we use a mechanistic parameterization of soil NOx emissions combined with two atmospheric chemistry models to investigate the issue. We find that the presence of soil NOx emissions in the NCP significantly reduces the sensitivity of ozone to anthropogenic emissions. The maximum ozone air quality improvements in July 2017, as can be achieved by controlling all domestic anthropogenic emissions of air pollutants, decrease by 30% due to the presence of soil NOx. This effect causes an emission control penalty such that large additional emission reductions are required to achieve ozone regulation targets. As NOx emissions from fuel combustion are being controlled, the soil emission penalty would become increasingly prominent and shall be considered in emission control strategies.

Suggested Citation

  • Xiao Lu & Xingpei Ye & Mi Zhou & Yuanhong Zhao & Hongjian Weng & Hao Kong & Ke Li & Meng Gao & Bo Zheng & Jintai Lin & Feng Zhou & Qiang Zhang & Dianming Wu & Lin Zhang & Yuanhang Zhang, 2021. "The underappreciated role of agricultural soil nitrogen oxide emissions in ozone pollution regulation in North China," Nature Communications, Nature, vol. 12(1), pages 1-9, December.
    • Handle: RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-25147-9
    DOI: 10.1038/s41467-021-25147-9
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    Cited by:

    1. Sichen Wang & Xi Mu & Peng Jiang & Yanfeng Huo & Li Zhu & Zhiqiang Zhu & Yanlan Wu, 2022. "New Deep Learning Model to Estimate Ozone Concentrations Found Worrying Exposure Level over Eastern China," IJERPH, MDPI, vol. 19(12), pages 1-15, June.
    2. Shandong Niu & Xiao Lyu & Guozheng Gu, 2022. "A New Framework of Green Transition of Cultivated Land-Use for the Coordination among the Water-Land-Food-Carbon Nexus in China," Land, MDPI, vol. 11(6), pages 1-25, June.
    3. Wenhao Xue & Jing Zhang & Xiaomin Hu & Zhe Yang & Jing Wei, 2022. "Hourly Seamless Surface O 3 Estimates by Integrating the Chemical Transport and Machine Learning Models in the Beijing-Tianjin-Hebei Region," IJERPH, MDPI, vol. 19(14), pages 1-19, July.
    4. Zhang, Qianxi & Li, Fei, 2022. "Correlation between land use spatial and functional transition: a case study of Shaanxi Province, China," Land Use Policy, Elsevier, vol. 119(C).

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