| Accurate prediction of lightning occurs can be targeted to strengthen the lightning protection work, effectively reducing damage caused by lightning. Due to the combined effects of lightning affected by many factors, with some regional, randomness and non-linear characteristics, precision lightning prediction is very difficult. This paper will use statistical theory and methods to study lightning and other meteorological data in Fujian Province, especially in Fuzhou City, trying to discover their statistical regularity according to the existing Fuzhou lightning activity records and Facilitating the establishment of appropriate mechanisms for the prevention of lightning warning.The paper combines empirical analysis and theoretical research to analyze statistically lightning activities and disaster with living examples of lightning activities in Fujian Province and Fuzhou City. Besides, this paper also chooses representative Fuzhou area as key research objects to analyze distribution features of lightning and the relations between lightning and meteorological factor. Creating regression model by combining lightning activities and meteorological factors will forecast lightning happening and finally refer to the analyzing results, we can provide some effective reference to the prevention work of lightning in Fujian Province. |
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