湖北省雷击关联规则挖掘发现

Data Mining for Correlation Rules of Lightning in Hubei Province

利用湖北省雷电实时监测系统中2012~2014年间7月份的历史数据,挖掘雷击与地形、气象等环境要素之间的关联.结合具有噪声的基于密度的聚类算法与核密度算法,分层次筛选候选集,剔除低密度的无兴趣噪声点.利用先验关联规则挖掘算法进行差异化挖掘,得到湖北省不同等级电流幅值的雷击点与地形及气象因素之间的定性定量关系.分析表明,在地势低矮的湖北省,10~75 k A的雷击常发生于土地覆盖类型为林地和农田的区域,主要与日均气压、气温、相对湿度、坡度、水汽压、风速、最大风速、降水量有强相关性.100~157k A的中强电流幅值雷击与最大风速、日均水汽压、气温、最低气温、均风速的相关性较强.157.9~250.7 k A的强电流幅值雷击主要与降水量相关.

Based on the historical data of each July between 2012 and 2014 provided by the lightning location system of Hubei province,this paper reveals possible relationship between lightning and various environmental factors concerning meteorological conditions and terrains.Combined with the algorithm of density-based spatial clustering of applications with noise（DBSCAN） and the kernel density algorithm,insignificant locations with rare lightning are eliminated.Qualitative and quantitative relations between lightning locations in Hubei with different peak currents and various factors such as terrains and meteorological factors are obtained using the a priori data mining algorithm for correlation rules.In Hubei,which is mainly a low-lying land,lightning strikes with low current of l0-75 k A are likely to occur in forests or farmlands.In these areas,lightning is strongly correlated with average values of air pressure,relative humidity,vapor pressure,precipitation,temperature and wind speed.Lightning with high current of more than 100 k A has a certain relation with wind speed,daily vapor pressure,daily average temperature and minimum temperature.Lightning with very high current of 157.9-250.7 k A is correlated with precipitation.