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Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020
Open biomass burning (OBB) is a significant source of air pollutants and greenhouse gases that have contributed to air pollution episodes in China in recent years. An accurate emission inventory is critical for the precise control of OBB. Existing OBB emission datasets are commonly based on MODIS ob...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505139/ https://www.ncbi.nlm.nih.gov/pubmed/37717027 http://dx.doi.org/10.1038/s41597-023-02541-0 |
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author | Xu, Yuanqian Huang, Zhijiong Ye, Jiashu Zheng, Junyu |
author_facet | Xu, Yuanqian Huang, Zhijiong Ye, Jiashu Zheng, Junyu |
author_sort | Xu, Yuanqian |
collection | PubMed |
description | Open biomass burning (OBB) is a significant source of air pollutants and greenhouse gases that have contributed to air pollution episodes in China in recent years. An accurate emission inventory is critical for the precise control of OBB. Existing OBB emission datasets are commonly based on MODIS observations, and most only have a daily-scale temporal resolution. Daily OBB emissions, however, might not accurately represent diurnal variations, peak hours, or any open burning processes. The China Hourly Open Biomass Burning Emissions (CHOBE) dataset for mainland China from 2016 to 2020 was developed in this study using the spatiotemporal fusion of multiple active fires from MODIS, VIIRS S-NPP and Himawari-8 AHI detections. At a spatial resolution of 2 km, CHOBE provided gridded CO, NOx, SO(2), NH(3), VOCs, PM(2.5), CO(2), CH(4) and N(2)O emissions from OBB. CHOBE will enhance insight into OBB spatiotemporal variability, improves air quality and climate modelling and forecasting, and aids in the formulation of precise OBB preventive and control measures. |
format | Online Article Text |
id | pubmed-10505139 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-105051392023-09-18 Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 Xu, Yuanqian Huang, Zhijiong Ye, Jiashu Zheng, Junyu Sci Data Data Descriptor Open biomass burning (OBB) is a significant source of air pollutants and greenhouse gases that have contributed to air pollution episodes in China in recent years. An accurate emission inventory is critical for the precise control of OBB. Existing OBB emission datasets are commonly based on MODIS observations, and most only have a daily-scale temporal resolution. Daily OBB emissions, however, might not accurately represent diurnal variations, peak hours, or any open burning processes. The China Hourly Open Biomass Burning Emissions (CHOBE) dataset for mainland China from 2016 to 2020 was developed in this study using the spatiotemporal fusion of multiple active fires from MODIS, VIIRS S-NPP and Himawari-8 AHI detections. At a spatial resolution of 2 km, CHOBE provided gridded CO, NOx, SO(2), NH(3), VOCs, PM(2.5), CO(2), CH(4) and N(2)O emissions from OBB. CHOBE will enhance insight into OBB spatiotemporal variability, improves air quality and climate modelling and forecasting, and aids in the formulation of precise OBB preventive and control measures. Nature Publishing Group UK 2023-09-16 /pmc/articles/PMC10505139/ /pubmed/37717027 http://dx.doi.org/10.1038/s41597-023-02541-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Data Descriptor Xu, Yuanqian Huang, Zhijiong Ye, Jiashu Zheng, Junyu Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title | Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title_full | Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title_fullStr | Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title_full_unstemmed | Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title_short | Hourly emissions of air pollutants and greenhouse gases from open biomass burning in China during 2016–2020 |
title_sort | hourly emissions of air pollutants and greenhouse gases from open biomass burning in china during 2016–2020 |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505139/ https://www.ncbi.nlm.nih.gov/pubmed/37717027 http://dx.doi.org/10.1038/s41597-023-02541-0 |
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