Relationship Between Fwi、Climate Conditions And Forest Fuel Ifres Inzhejiang

Zhejiang is one of the forest fire-prone areas, forest fires have caused tremendous damage to the forestry resources, at the same time, and forest fire forecasting research has been the focus of the study of forest fires. Therefore, the ability to grasp the rule of the forest fire is an important guarantee for scientific and it is effective to carry out fire prevention work by that. In the ecological study of forest fire, using the fire weather index (FWI) to predict forest fire, forest fire behavior, the energy which forest fire released is available, it can estimate the size of the main indicators of fire danger; it can also determine the basis of prescribed burning of forest. Forest fire fuel has a direct impact on the ease of ignition, indirect effects of fire intensity, forest fire spread rate and the effective radiation, and so, it has been concerned to researchers as a key parameter of the forest fire warning.Traditional field survey methods of investigate the forest vegetation need a lot of manpower and material resources, and it is costly. Using remote sensing to measure forest vegetation cover can greatly reduced the investment, and also, with the advances in remote sensing technology, it has also been significantly improved measurement accuracy as time goes by. Especially, the remote sensing vegetation map can give data in a different time and spatial scales (the distribution and quantity of forest fuel), the characterization of fuel types of remote sensing images of wildland fire prevention and pre-fire planning should be considered as the most important factor. Multispectral remote sensing satellite can be used for the global to the region to provide valid data at the same time, we can also use geographic information system (GIS) to combine meteorology, remote sensing images and computer processing systems together to predict and assess forest fires. After fire ignition occurs, flames are propagated mainly according to fire fuel, topography and meteorological conditions. Therefore, through the analysis of forest fires and forest vegetation types (fire fuel type) we can draw that the fire fuel type is most vulnerable to fire.Collected on the information of the weather and forest fires in the years from2001to2009which the occurrence of forest fires in Zhejiang Province were analyzed by the analysis of historical data on forest fires and the corresponding meteorological data processing, we selected wind speed, relative humidity, temperature, rainfall and number of fires and burned area to make correlation analysis, and used the forest fire index calculation procedure for computing the information and data, by calculating the index value of the forest fire weather index system output (FFMC, DMC, FWI etc.) showed a good correlation to the actual number of forest fires in Zhejiang province. By using the Landsat remote sensing images of land resources satellites we got surface features characteristic vegetation map of Zhejiang Province, and the establishment of the thermal climate index and the coupling of forest fire fuel forest fire early warning system to analyze and assess forest fire danger rating in Zhejiang Province. The conclusion shows that the method of this study is correct and suitable for Zhejiang Province. At the same time, it also has reference guidance to other regions.