Research and application model of disaster risk optimization based on lightning data

Abstract

Based on the application of lightning data, this paper conducted multifaceted researches to provide more reference ideas for selection of lightning risk assessment, early warning and division factor. Based on principles of weather science and mathematical statistics, this paper presents selection of lightning data factors, factor optimization, variable combination and risk classification method and makes a comparative analysis of lightning data factors and relative standards. The results show that the data processing and optimization of lightning factor has a significant indication of the lightning risk and combination factor of lightning factor is better than single factor and combination of four factors is the best and most stable. According to method in this paper, it is verified that the strong thunder factor which 25kA lightning current parameters choose according to GB50057 standard has better indication function to high risk level of lightning and distribution of lightning variable risk level and superposition diagram of lightning disaster of Huaihua are drawn to conclude that most areas where number of thunder disaster is concentrated are the areas which have higher risk level of lightning variables.