Applying the Regression Models to Assess the Influences of Climate Factors on Forest Fires (Case Study: Izeh)

Fire destroys major area of forests and rangelands in the world. Izhe، located in Khozestan province، is one of these area that was changed by this natural phenomena. The aim of this study is to determine the most important climatic factors on forest fire and its development by regression model analysis. Numbers and area of the forest fire as well as weather data for a three years period (2009-2011) were applied for this value. The results of Spearman correlation test showed that minimum and maximum temperature had a positive correlation with the burn area of the forests. The minimum and Mean of relative moisture suggested a negative correlation with forest fires. Moreover، the maximum and medium of temperature had positive correlation with forest fires.