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The prediction model for forest fuel moisture was built by differential equations. The relation was statistically analyzed among unite time variation of moisture and before time temperate of fuel, relative humidity and wind speed. The scale of effect factors of model were obtained. The results indicate that the model built in the paper has an average precision of 94.0%, which means that it is useful in forecasting the forest fuel moisture under condition that from March to June, long time no-rain and above 0□ of fuel in broadleaved and conifer mixed forest region.
Date of Conference: 25-27 June 2010