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Estimation of Forest Fire Emissions in Southwest China from 2013 to 2017

State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230026, China
Authors to whom correspondence should be addressed.
Atmosphere 2020, 11(1), 15;
Received: 21 November 2019 / Revised: 14 December 2019 / Accepted: 19 December 2019 / Published: 22 December 2019
(This article belongs to the Section Air Quality)
Forest fire emissions have a great impact on local air quality and the global climate. However, the current and detailed regional forest fire emissions inventories remain poorly studied. Here we used Moderate Resolution Imaging Spectroradiometer (MODIS) data to estimate monthly emissions from forest fires at a spatial resolution of 500 m × 500 m in southwest China from 2013 to 2017. The spatial and seasonal variations of forest fire emissions were then analyzed at the provincial level. The results showed that the annual average emissions of CO2, CO, CH4, SO2, NH3, NOX, PM, black carbon, organic carbon, and non-methane volatile organic compounds from forest fires were 1423.19 × 103, 91.66 × 103, 4517.08, 881.07, 1545.04, 1268.28, 9838.91, 685.55, 7949.48, and 12,724.04 Mg, respectively. The forest fire emissions characteristics were consistent with the characteristics of forest fires, which show great spatial and temporal diversity. Higher pollutant emissions were concentrated in Yunnan and Tibet, with peak emissions occurring in spring and winter. Our work provides a better understanding of the spatiotemporal representation of regional forest fire emissions and basic data for forest fire management departments and related research on pollution and emissions controls. This method will also provide guidance for other areas to develop high-resolution regional forest fire emissions inventories. View Full-Text
Keywords: forest fire emissions; MODIS; estimation; regional scale forest fire emissions; MODIS; estimation; regional scale
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MDPI and ACS Style

Wang, W.; Zhang, Q.; Luo, J.; Zhao, R.; Zhang, Y. Estimation of Forest Fire Emissions in Southwest China from 2013 to 2017. Atmosphere 2020, 11, 15.

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