Journal article Open Access
Zhang, Ruixiong; Zhang, Yuzhong; Lin, Haipeng; Feng, Xu; Fu, Tzung-May; Wang, Yuhang
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/70c065f5-9829-4a0f-835e-65b337361c22/NO2_VCD_NOx_emission.nc" }, "checksum": "md5:532cc97ecb99ce544505806ce5f5e4df", "bucket": "70c065f5-9829-4a0f-835e-65b337361c22", "key": "NO2_VCD_NOx_emission.nc", "type": "nc", "size": 155714893 }, { "links": { "self": "https://zenodo.org/api/files/70c065f5-9829-4a0f-835e-65b337361c22/regional_emission_changes_TableS1.xlsx" }, "checksum": "md5:9f065f5d396b9c06e1d7dd58c2b4e8b8", "bucket": "70c065f5-9829-4a0f-835e-65b337361c22", "key": "regional_emission_changes_TableS1.xlsx", "type": "xlsx", "size": 19928 }, { "links": { "self": "https://zenodo.org/api/files/70c065f5-9829-4a0f-835e-65b337361c22/regional_emission_timeseries.zip" }, "checksum": "md5:5d1a2539c12336dfdf7375ad4adb79dd", "bucket": "70c065f5-9829-4a0f-835e-65b337361c22", "key": "regional_emission_timeseries.zip", "type": "zip", "size": 20263710 } ], "owners": [ 97310 ], "doi": "10.5281/zenodo.3759985", "stats": { "version_unique_downloads": 32.0, "unique_views": 436.0, "views": 457.0, "version_views": 457.0, "unique_downloads": 32.0, "version_unique_views": 436.0, "volume": 3804702053.0, "version_downloads": 52.0, "downloads": 52.0, "version_volume": 3804702053.0 }, "links": { "doi": "https://doi.org/10.5281/zenodo.3759985", "conceptdoi": "https://doi.org/10.5281/zenodo.3759984", "bucket": "https://zenodo.org/api/files/70c065f5-9829-4a0f-835e-65b337361c22", "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.3759984.svg", "html": "https://zenodo.org/record/3759985", "latest_html": "https://zenodo.org/record/3759985", "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.3759985.svg", "latest": "https://zenodo.org/api/records/3759985" }, "conceptdoi": "10.5281/zenodo.3759984", "created": "2020-04-22T09:47:11.345705+00:00", "updated": "2020-04-24T17:39:16.813394+00:00", "conceptrecid": "3759984", "revision": 6, "id": 3759985, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.3759985", "description": "<p>This datasets contains the top-down NOx emission data during Jan 1 - Mar 12, 2020, derived in the paper <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 COVID-19 control measures. </p>\n\n<p> </p>\n\n<p><strong>Data Description:</strong> </p>\n\n<p> <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. </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): NO2 data from TROPOMI and WRF-GC; NOx emissions from MEIC emission inventory. </p>\n\n<p><strong>How to Cite:</strong></p>\n\n<p>Please cite both the Zenodo dataset 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. <em>Atmosphere</em> <strong>2020</strong>, <em>11</em>, 433.). </p>\n\n<p><strong>Contact:</strong></p>\n\n<p>If you have questions, please contact the corresponding authors Drs. Ruixiong Zhang (zhangruixiong@gmail.com) and Yuzhong Zhang (zhangyuzhong@westlake.edu.cn). </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> – January 22<sup>nd</sup>, 2020), P2 (January 23<sup>rd</sup>, Wuhan lockdown – February 9<sup>th</sup>, 2020), and P3 (February 10<sup>th</sup>, back-to-work day – 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" }, "title": "Top-down NOx emission changes in China using TROPOMI NO2 data from Jan 1 to Mar 12, 2020", "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "3759984" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "3759985" } } ] }, "communities": [ { "id": "covid-19" } ], "version": "1.0", "keywords": [ "NOx emission", "TROPOMI", "China", "COVID-19", "Environment", "Air quality" ], "publication_date": "2020-04-22", "creators": [ { "affiliation": "Georgia Institute of Technology / ClimaCell", "name": "Zhang, Ruixiong" }, { "affiliation": "Westlake University / Westlake Institute for Advanced Study", "name": "Zhang, Yuzhong" }, { "affiliation": "Harvard University", "name": "Lin, Haipeng" }, { "affiliation": "Peking University", "name": "Feng, Xu" }, { "affiliation": "Southern University of Science and Technology", "name": "Fu, Tzung-May" }, { "affiliation": "Georgia Institute of Technology", "name": "Wang, Yuhang" } ], "access_right": "open", "resource_type": { "subtype": "article", "type": "publication", "title": "Journal article" }, "related_identifiers": [ { "scheme": "doi", "identifier": "10.5281/zenodo.3759984", "relation": "isVersionOf" } ] } }
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