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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...

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Autores principales: Xu, Yuanqian, Huang, Zhijiong, Ye, Jiashu, Zheng, Junyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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