Researches On Distribution Model Of Forest Land Surface Dead Combustible Moisture Content In New Forest Area

Forest fires are affecting the global environment and the socio-economic development in emergencies. Internationally, many projects in the researches of forest fires and their impact that China is a country prone to forest fires.Modeling of surface fuel moisture content, data processing and analysis applications still lags behind now, mainly in the:(1) Prediction of forest fire used the regional weather forecasting model for addressing forest fire in the application of practical work, ignoring the diversity of the forest environment, resulting in a serious gap between demand;(2)It can only give an estimated load results in calculations of the surface fuel load, the results can not be combined with the environment;(3) It is usually carried out regression analysis with meteorological factors according to real-time fuel moisture content measurement model, and when applications of the measured value in the fire, just using a single communication guide mode;(4) Fuel moisture content are different in the same forest area in different environments, whether we can apply its differences and how to apply, also a lack of research in this area;This paper study each issue and establish the appropriate theoretical model firstly to solve the above problems, then taking experimental analysis and interrelated comparative study using the measured data in the study area:(1) According to the theory of indirect adjustment, nonlinear least squares method and sample timber, studying on forest fuel load and moisture content, estimating analysis model of forest fire risk;(2) Using of forest resources and plot data, Research and analysis of regional forest type and the accurate estimation model of sample surface fuel load, and combining resources to form the distribution of fuel surface;(3) Using of real-time measurement data and the data of plots which is in Homogeneous standard sample to study the fit model of the measured value and predictive moisture content of the forest environment;(4) Using of biological characteristics, combustion energy and plots to study the difference of fuel moisture content in the same area but different environments and the corresponding technology of fire protection.This made a major research and innovation in the following five areas:(1) Pointed out the problem that the current forecast of forest fire out of touch with forest fire, given data processing to improve fire prediction based on two-factor control, established distribution model and change model.(2) Derived that using Two-dimensional maps methods and plot survey method describe environmental change model of fire intuitively;(3) Exported linear model estimated by real-time fuel moisture, provided distribution model of changing in temperature and humidity, established by sample investigation and homogeneity measured;(4) Given a new fire protection technology at the difference distribution in fuel and moisture content under non-equilibrium distribution;(5) Formed the fitted mode of moisture content of surface fuel and two-dimensional distribution;the conclusions In this papen(1) With solving the problem of forest fuel moisture content, the proposed that using of the homogeneous fit forest environment fire prediction method, not using the weather fire prediction method which widely used now;(2) In the calculations of forest floor fuel load, we should adopt the method of the type samples to estimate surface fuel;(3) The accuracy of calculation on forest floor fuel load mainly depends on the influence of the dipartition of sample in the region;(4) The paper used the trichotomy model when convert forest resources survey data to the fuel volume, so that to obtain a higher distribution of forest floor fuel;(5) According to changes of real-time moisture content to estimate the moisture content in the same type forest environment, it is a more practical approach;(6) Using the real-time changes estimated model in this paper to conduct the moisture content conversion in different forest types of the same area, it can access to a dynamic change model of combustible moisture content.