Abstract:The forest fires and casualties caused by lightning strokes occur from time to time in China. In recent years, there have been many accidents such as lightning strokes, forest fires, and equipment damage in Mount Tai. In order to effectively avoid or reduce the harm of lightning strokes to Mount Tai, this paper analyzes the lightning characteristics of Mount Tai and its correlation with terrain and altitude using cloud-to-ground (CG) lightning data monitored by Shandong Lightning Location System from 2007 to 2018, in order to provide technical support for effective lightning protection, disaster reduction, and decision-making of local government departments. The results are as follows. 1) Although the number of lightning strokes in different years is different, the distribution characteristics of the number of lightning strokes at different altitudes are relatively consistent every year. The annual mean CG lightning density in Mount Tai is 1. 82 times•km-2•a-1 and the areas with higher CG lightning density are concentrated in the main peak and the top areas 4-7 km to the northwest of the main peak. 2) The seasonal distribution of CG lightning is obvious. The number of CG lightning in summer (from June to August) accounts for about 86. 86% of the total number in the whole year and the number of lightning below 900 m above sea level is more. 3) The peak period of the daily number of lightning is between 14:00 and 20:00 and the falling area is concentrated between 200 m and 800 m. 4) The mean value of positive CG lightning intensity fluctuates greatly with the increase of altitude, while that of the negative CG lightning intensity changes slightly with altitude. 5) The CG lightning density increases with the increase of altitude. The density increases slowly with the increase of altitude below 800 m and increases obviously over 1 000 m. What's more, the density and steepness of CG lightning increase with the increase of altitude, especially over 800 m. It can be seen that the CG lightning density in Mount Tai has a good positive correlation with steepness and altitude.