Application Of Clustering Algorithm To Lightning Warning And Lightning Disaster Analysis

Lightning, accompanied by flash and thunder, is a nature phenomenon that caused significant caulties and property losses. With the development of human society, people deeply relied on the modern life. As more and more losses caused by lightning, the requirement of lignthing protection and prediction become stronger. Exploring lightning activity and its influence is meaningful to protect lightning disaster.Against lightning location data, a lightning nowcasting model based on Ordering Points To Identify the Clustering Structure (OPTICS) algorithm was proposed. The model analyzed continuous period of lightning location data with OPTICS. It effectively filtered out sparse points that will affect the lightning clouds distribution. Based on the lightning clusters produced by OPTICS, the model used dilate-corrode algorithm to restore real distribution of lightning clouds. Then future lightning location area was predicted according to the moving trend of lightning clouds. Furthermore, to overcome the traditional algorithm’s drawback of consuming longer time, adjacent list and improved seed-list updating strategy were introduced into the OPTICS algorithm. The experimental results show that OPTICS based model is more applicable for lightning nowcasting, and achieves higher accuracy and lower time consumption.Further more, to gain the disaster distribution caused by lignthing based on thunder disaster analysis, a new stable K-Means algorithm for lightning disaster text was proposed. The method created CHT(Cluster-Hierarchy-Tree) based on reachable table produced by OPTICS, then processed K-Means clustering based on CHT. The experiments presented stability and better clustering performance of our method.