April 22, 2020 Journal article Open Access

Zhang, Ruixiong; Zhang, Yuzhong; Lin, Haipeng; Feng, Xu; Fu, Tzung-May; Wang, Yuhang

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    "description": "<p>This datasets contains the top-down NOx emission data during Jan 1 - Mar 12, 2020,&nbsp;derived in the paper&nbsp;<strong>NOx emission reduction and recovery during COVID-19 in East China (</strong><a href=\"https://www.mdpi.com/2073-4433/11/4/433\">https://www.mdpi.com/2073-4433/11/4/433</a><strong>)</strong>. The top-down NOx emission changes can be used as a measure to assess the socioeconomic activity changes due to&nbsp;COVID-19 control measures.&nbsp;</p>\n\n<p>&nbsp;</p>\n\n<p><strong>Data Description:</strong>&nbsp;</p>\n\n<p>&nbsp;<a href=\"https://zenodo.org/api/files/56c5b93e-9f07-4727-8f6b-2fdaf6f3b132/regional_emission_changes_TableS1.xlsx\">regional_emission_changes_TableS1.xlsx</a>: The derived NOx emission changes in China at regional (East China), provincial, and city (Wuhan) levels.&nbsp;</p>\n\n<p><a href=\"https://zenodo.org/api/files/56c5b93e-9f07-4727-8f6b-2fdaf6f3b132/regional_emission_timeseries.zip\">regional_emission_timeseries.zip</a>: The timeseries plots of NOx emission changes in the mentioned regions</p>\n\n<p><a href=\"https://zenodo.org/api/files/56c5b93e-9f07-4727-8f6b-2fdaf6f3b132/NO2_VCD_NOx_emission.nc\">NO2_VCD_NOx_emission.nc</a>: This contains data used to derive the top-down NOx emissions (at 0.05 degree resolution):&nbsp;NO2 data from TROPOMI and WRF-GC; NOx emissions from MEIC emission inventory.&nbsp;</p>\n\n<p><strong>How to Cite:</strong></p>\n\n<p>Please cite both the Zenodo dataset&nbsp;and the paper (<a href=\"https://www.mdpi.com/2073-4433/11/4/433\">https://www.mdpi.com/2073-4433/11/4/433</a>, Zhang, R.; Zhang, Y.; Lin, H.; Feng, X.; Fu, T.-M.; Wang, Y. NOx Emission Reduction and Recovery during COVID-19 in East China.&nbsp;<em>Atmosphere</em>&nbsp;<strong>2020</strong>,&nbsp;<em>11</em>, 433.).&nbsp;</p>\n\n<p><strong>Contact:</strong></p>\n\n<p>If you have questions, please contact&nbsp;the corresponding authors Drs.&nbsp;Ruixiong Zhang (zhangruixiong@gmail.com) and Yuzhong Zhang (zhangyuzhong@westlake.edu.cn).&nbsp;</p>\n\n<p><strong>Paper Abstract</strong>:</p>\n\n<p>Since its first confirmed case at the end of 2019, COVID-19 has become a global pandemic in three months with more than 1.4 million confirmed cases worldwide, as of early April 2020. Quantifying the changes of pollutant emissions due to COVID-19 and associated governmental control measures is crucial to understand its impacts on economy, air pollution, and society. We used the WRF-GC model and the tropospheric NO<sub>2</sub> column observations retrieved by the TROPOMI instrument to derive the top-down NOx emission change estimation between the three periods: P1 (January 1<sup>st</sup> &ndash; January 22<sup>nd</sup>, 2020), P2 (January 23<sup>rd</sup>, Wuhan lockdown &ndash; February 9<sup>th</sup>, 2020), and P3 (February 10<sup>th</sup>, back-to-work day &ndash; March 12<sup>th</sup>, 2020). We found that NOx emissions in East China averaged during P2 decreased by 50% compared to those averaged during P1. The NOx emissions averaged during P3 increased by 26% compared to those during P2. Most provinces in East China gradually regained some of their NOx emissions after February 10, the official back-to-work day, but NOx emissions in most provinces has not yet to return to their previous levels in early January. NOx emissions in Wuhan, the first epicenter of COVID-19, had no sign of emission recovering by March 12. A few provinces, such as Zhejiang and Shanxi, have recovered fast, with their averaged NOx emissions during P3 almost back to pre-lockdown levels.</p>", 
    "license": {
      "id": "CC-BY-4.0"
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    "title": "Top-down NOx emission changes in China using TROPOMI NO2 data from Jan 1 to Mar 12, 2020", 
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    "keywords": [
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    "publication_date": "2020-04-22", 
    "creators": [
      {
        "affiliation": "Georgia Institute of Technology / ClimaCell", 
        "name": "Zhang, Ruixiong"
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        "affiliation": "Westlake University / Westlake Institute for Advanced Study", 
        "name": "Zhang, Yuzhong"
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      {
        "affiliation": "Harvard University", 
        "name": "Lin, Haipeng"
      }, 
      {
        "affiliation": "Peking University", 
        "name": "Feng, Xu"
      }, 
      {
        "affiliation": "Southern University of Science and Technology", 
        "name": "Fu, Tzung-May"
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      {
        "affiliation": "Georgia Institute of Technology", 
        "name": "Wang, Yuhang"
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