Urban Fire Model Reflecting Detailed Real-Time Weather Information.

Fire preparedness is an essential issue in protecting both human life and property. In addition to the fact that, especially in urban areas, buildings tend to be more densely built, the predominant building structure in many countries is still wood, which is vulnerable to fire. As a result, large-scale building fires, known as “urbanfires”, have occurred many times. Because fire is a very complex and uncertain event, a variety of study approaches have been taken. In this paper, we focus on the impact of wind speed and direction on urban fires and develop a fire model that can take advantage of real-time weather information using a graph network. The impact of the accuracy of wind speed and direction information on the accuracy of the fire model will also be verified through the simulation based on an actual fire using the developed fire model. The fire model constructed in this paper assumes urban fires that cause large-scale damage among building fires, and the target of prediction is the damage to buildings. A new contribution of this paper is the identification of the impact of wind on fire model accuracy and the proposal for highly accurate fire damage prediction with real-time weather information.