Title :
Study on the Predicted Model of Forest Fuel Moisture
Author :
Qu, Zhilin ; Yingying Min ; Zhao, Liansheng ; Hu, Haiqing
Author_Institution :
Northeast Forestry Univ., Harbin, China
Abstract :
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.
Keywords :
differential equations; forestry; humidity; statistical analysis; differential equation; forest fuel moisture; prediction model; relative humidity; statistical analysis; wind speed; Fuels; Humidity; Mathematical model; Moisture; Predictive models; Temperature; Wind speed; Forest fuel; Moisture; Prediction model;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.534
