Effective situational awareness to wildfire emergency command based on multi-model forecasting system

Abstract

Maintaining and sustaining situational awareness is regarded as a primary task in a wildfire incident response. Clearly, due to the complexity of wildfire incidents, there are a wide range of significant hazards and risks which need to be considered. To better conduct situational awareness during wildfire emergency, we established a multi-model forecasting system to predict the fire behavior, estimate the resource requirements and share multisource information based on weather prediction model, wildfire behavior prediction model, resource scheduling model and GIS. Multi-model forecasting system provides the emergency mangers periodic situational awareness for quick and efficient responses to a wildfire emergency.