Design of forest fire risk meteorological forecast model based on data superposition

Abstract

Using the data of automatic weather observation station, intelligent grid forecast, forest vegetation underlying surface, this paper selects meteorological factors such as temperature, precipitation, wind speed, relative humidity as dynamic factors, and the vegetation underlying surface data matching the intelligent grid based on geographic information as static factors. A 1km×1km refined forest fire weather grade forecast model based on data superposition was built, and GIS spatial analysis and visualization technology was applied to the construction of forest fire risk model and the production of fire risk meteorological grade forecast graphics. The business application of this research is of great significance to the establishment of a complete forest fire prevention system in Dalian, the protection of the natural environment of the forest, the maintenance of sustainable ecological development and the safety of human life and property.