The impact of forest and land fires on the atmospheric environment can be classified into three components, namely ambient air quality, its contribution to greenhouse gases, and microclimate change. Each component has a different method for assessing and measuring the magnitude of its impact. The aim of the study is to obtain quantitative methods to assess the magnitude of the impact of forest and land fires on the atmospheric environment so that they can be used for the valuation of environmental losses. The magnitude of the impact of the air quality component is measured based on the Air Pollution Index (ISPU) and visibility, the component of the greenhouse gas is assessed by approaching the amount of GHG emissions and / or loss of carbon stocks, while changes in the microclimate by assessing changes in the level of thermal comfort. Gas and particulate emissions values of forest and land fires use the carbon mass balance approach and emission factors. Analysis of air pollution dispersion is conducted use the Gaussian model, with case study is the incidence of land fires in oil palm plantations located in Kayuagung sub-district, Ogan Komering Ilir Regency, South Sumatra Province in 2015, 2016 and 2017. The data used in this study consisted of Landsat 8 satellite imagery, MODIS and VIIRS Hotspots, measurements of vegetation biomass in the field, organic C-peat and climate data during fires. The results of the assessment show that land fires covering 551 ha in 2015, 59 ha in 2016 and 253 ha in 2018 have resulted in changes in the air pollutant standard index in Kayuagung from the medium category (ISPU PM10 = 75) to very unhealthy (ISPU PM10 = 272) in 2015, unhealthy (ISPU CO = 116) in 2016 and very unhealthy (ISPU CO = 205) in 2018. Visibility in an area of about 500-600 meters in the direction of the wind from the fire’s location was less than 1 km with PM10 of more than 176 µg m−3. The contribution of GHGs to each fire’s year is 26.8, 2.8 and 12.3 kilo tons of CO2e consist of CO2 and CH4. The results of this study can be used to quantify the magnitude of the land fires impact on the atmospheric environment.
Forest and land fires have become disasters that have received international attention. Peatland as an important part of the forest poses a separate threat to the effect of carbon release and climate change. Fire prevention can be done by understanding the causes. Fire vulnerability mapping uses several parameters in its calculation, namely NDVI value, NDMI value, TWI value, accessibility distance, and community activity center. Land use and hotspot history will be the parameters compared with the results of the analysis. The calculation uses a range of values from 1 to 5. The risk level class is divided into five, with the highest percentage of 20.18% at the very vulnerable level and the lowest of 19.56% at the normal level. Very vulnerable areas have the highest number of hotspot points at 268 points while the lowest number of hotspot points is in the safe class of 23 points. Most areas with high vulnerability are found in agriculture and plantation areas. The model used in this fire vulnerability map can be said to have a pretty good correlation. Keywords: accessibility distance, forest fires, hotspot, land use, peatland
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.