Research articles
ScienceAsia 48 (2022):ID 302-309 |doi:
10.2306/scienceasia1513-1874.2022.040
Biomass burning emission inventory of multi-year PM10 and
PM2.5 with high temporal and spatial resolution for Northern
Thailand
Anuttara Hongthong*, Kampol Nanthapong, Thongchai Kanabkaew
ABSTRACT: The biomass burning emission inventory reported by the Global Fire Emissions Database is at a coarse
temporal (monthly) and spatial resolution (0.25??0.25?) and may not be appropriate for a model simulation or disease
burden investigation. This study estimated an emission inventory of PM10 and PM2.5 caused by biomass burning in
the nine provinces of Northern Thailand during 2012?2016 based on daily, monthly, and annual. The Visible Infrared
Imaging Radiometer Suite (VIIRS) fire counts (375 m-resolutions), land uses, emission factors, and activity data were
applied for the bottom-up estimation. According to the findings, Mae Hong Son (29%), Chiang Mai (20%), and Chiang
Rai (38%), respectively, had the highest proportion of forest fires, savanna and grassland fires, and agricultural fires.
There was a consistent trend between estimated emission and measured PM. The difference in emission ratio of PM2.5
between the current study and GFED4 was 1.2?2.6, 1.4?2.2, and 1.4?2.5 for forest, savannas and grasslands, and
agricultural lands, respectively. The uncertainty range of PM2.5 and PM10 emissions from the three types of biomasses
were the same with relative errors of ?15% to 27%, ?8% to 7%, and ?17% to 10%, respectively. The VIIRS fire count
can be used for estimation of biomass burning with finer resolution in both temporal and spatial terms.
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Faculty of Public Health, Thammasat University, Pathumthani 12121 Thailand |
* Corresponding author, E-mail: anuttara1978@gmail.com
Received 19 Jun 2021, Accepted 5 Dec 2021
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