In this paper, on the basis of prairie biophysical characteristics and in combination with the principle of energy exchange (sensible heat and latent heat flux obtained by remote sensing and meteorological data), the fuel dry index (Fd) was proposed and applied to the Shandong prairie fire monitoring. Fd can better solve the prairie fire forecast, fire danger early warning in time and space and the estimation accuracy. It can change dynamic warning daily high fire risk areas with time in Shandong Province. Fd and fire potential index (FPI) were used to study the fire danger on April 8, 2010. Fire indicating effect of Fd is better than that of FPI. In the equidistance fire classification, data of 31 fire points in 2010 indicated by Fd fell in grade III, accounting for 87.1%, and 0 fell in grade I; the fire locations were in good agreement with areas of high fire risk early warning. In fuel dry index (Fd) graph, it can be seen that Fd has close relationship with the prairie vegetation growing season; the early development of Fd is high, but later it exhibits decreasing trend; at the medium stage, Fd is low; at the late stage,Fd is high, and shows a trend of rising. Overall, the Fd index plays an important role in fire danger forecast at the grassland growing stage.
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2019,
Vol. 31
