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The content of negative oxygen ions in air has become one of the main evaluation indexes for health and tourist areas. The value of negative oxygen ions in the coastal area is high, and it is significantly influenced by thunderstorms and other weather factors. In this paper, the daily monitoring data of air negative oxygen ions, the data of lightning, rainfall and rainfall intensity from the automatic weather station in the Rizhao Dashawa National Forest Park are used to analyze and verify the relationship between the variation rate of the negative oxygen ion concentration and the meteorological factors related to thunderstorm weather. The results shows: （1） The variation rate of the negative oxygen ion concentration is closely related to thunderstorm weather. The variation rate of negative oxygen ion concentration in thunderstorm weather is higher than that in nothunderstorm weather. (2） In the initial stage of the thunderstorm, the influence of thunderstorm factors on the change rate of air negative oxygen ion concentration is obvious. With the increasing duration of the thunderstorm, the influence of the thunderstorm factors on the concentration of negative oxygen ions tends to be gentle, with a state of fluctuation. (3) During thunderstorms, there is a significant positive correlation between rainfall intensity and variation rate of the negative oxygen ion concentration. The stronger the rainfall, the more obvious the increase of the negative oxygen ion concentration in the air. There is also a significant positive correlation between lightning intensity and variation rate of the negative oxygen ion concentration. The higher the lightning intensity, the higher the variation rate of the negative oxygen ion concentration becomes.（4） According to the regression model established by the numerical change rate of negative oxygen ion concentration and the intensity of rainfall and lightning, for thunderstorms with a rainfall intensity of greater than 1.0 mm per 5 minutes and a negative lightning intensity of greater than 50 kA, the model has a high accuracy in predicting the change rate of negative oxygen ions. For thunderstorms with a rainfall intensity of less than 1.0 mm per 5 minutes and a negative lightning intensity of less than 45 kA, the ability of the model to predict the change rate of negative oxygen ions is slightly inadequate.