Modelling forest fire behaviour and mapping carbon emission in the Ludikhola watershed, Gorkha district, Nepal

摘要: Forest fires have become intense and more frequent in the last few decades all over world. The profound impacts of forest on atmospheric chemistry, biogeochemical cycling ecosystem structure led to need understand their behavior. conditions, topography weather greatly influence fire behavior thus determine severity consequently carbon emission. estimation emission from is crucial for improving our understanding cycle dynamics order develop strategies curb global warming - climate change problem. Previous studies shown that modeling can accurately give a good estimate emissions. concentration emissions varies spatially one event another as these are function intensity, amount biomass burned, prevailing conditions. Therefore, this study aiming at behavior, developing method rugged terrain Nepal using 3 events occurred April 2008. A state art model, FARSITE was used simulate temporally explicit manner taking into account fuel, Ludikhola watershed situated Gorkha district Nepal. WindNinja model derive local winds influenced by vegetation area. combined approach involving output parameter i.e. line intensity developed research. induced simulations were validated with real mapped scar. both uniform varying wind data, estimated size burned area accuracies ranging between 78% 96% three analysed.