Forest Fire Potential Model Based on Climate Elements and Land Cover
摘要
Forest fires are uncontrolled burning in forest areas that are triggered by natural factors such as extreme drought or land burning due to human activities. The impacts include ecosystem damage, soil erosion, air pollution, greenhouse gas emissions, and human health problems. This research aims to identify and map areas that are vulnerable to forest fires in Jambi Province and determine the causal factors through risk indicators as a recommendation for the government to make decisions to reduce the impact of this disaster. The research method used is applied science with data collection methods through analysis of historical data and satellite data. The data obtained was analyzed using statistical techniques, weighted using a weighted product to determine areas at risk with the indicators used being the frequency of previous forest fires, rainfall, air temperature, air humidity and land cover. Next, patterns and potential risks of forest fire disasters were identified using spatial modelling using GIS. The results of the study show that Jambi Province has a high level of forest fire risk for 7 regencies, moderate risk for 2 regencies and 2 regencies are classified as safe from forest fires. Rainfall and land cover are the indicators that most influence the level of potential for regional fires, so strict regulations are needed to reduce the occurrence of forest fires.