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From January 1, 2014, the basicstations of meteorological observation countries have changed from small evaporationobservations to large-scale evaporation observations. National general weatherstations have canceled observations on evaporation, but small evaporation isvery important for forest fire risk prediction. In order to make the predictionof forest fire risk level objectively, weather data in Putian City, China andthe multi-linear regression analysis method is used to calculate the dailyevaporation amount in the more advanced SPSS16.0 software (English version),and the data of the last 5 years of each site are selected and fitted. Resultsshowed that we accurately calculated the evaporation of the next day to make upfor the lack of data due to the adjustment of the evaporation observationproject. According to the forest fire risk weather index corresponding to manymeteorological factors such as evaporation, temperature, humidity, sunshine andwind speed, the forest fire risk meteorological grade standard was designed tomake a more accurate forest fire risk grade forecast.

Study on Forecasting Method of Forest Fire Risk Grade in Putian City, China