AI Article Synopsis
- Open biomass burning (OBB) in China is a major contributor to air pollution and greenhouse gas emissions, necessitating accurate emission inventories for effective management.
- Existing datasets primarily rely on MODIS observations and often lack the detail needed for understanding daily variations in emissions.
- The newly developed CHOBE dataset provides high-resolution hourly emissions data from OBB for 2016-2020, enhancing the ability to analyze OBB patterns and improve air quality models and control measures.
Article Abstract
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, NH, VOCs, PM, CO, CH and NO 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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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10505139 | PMC |
| http://dx.doi.org/10.1038/s41597-023-02541-0 | DOI Listing |
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