Study on Forecasting Method of Forest Fire Risk Grade in Putian City, China ()
ABSTRACT
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.
Share and Cite:
Zhuang, G. (2019) Study on Forecasting Method of Forest Fire Risk Grade in Putian City, China.
Journal of Geoscience and Environment Protection,
7, 198-205. doi:
10.4236/gep.2019.712014.
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