Forest fire danger accurate zoning model for southern collective forest areas

Abstract

The invention relates to a forest fire danger accurate zoning model for southern collective forest areas, which is characterized by mainly including four steps: analyzing and valuing fire factors, building the forest fire danger accurate zoning model, testing and optimizing the fire danger accurate zoning model and realizing the fire danger accurate zoning model and the like. The step of analyzing the fire factor constant value includes fire factor extracting and evaluating of fire danger indexes and valuing fire factors, the step of building the forest fire danger accurate zoning model includes data extracting, model building and model solving; the step of testing and optimizing the fire danger accurate zoning model includes: extracting testing data, testing the fire danger accurate zoning model by inputting the data and optimizing the same; and the step of realizing the fire danger accurate zoning model includes: testing environment and applying color and drawing according to the model results. The forest fire danger accurate zoning model is built by building a proper mathematical model and analyzing history fire disaster file data of the areas, and compared with the prior art, the forest fire anger accurate zoning model is higher in practicality and higher in goodness of fit with the practical state after actual testing.

Description

1. Technical field [0001] The invention relates to a forest fire hazard standard zoning model and its solution method under the comprehensive influence of multiple indicators such as forestry features, social economy, and meteorological features. 2. Background technology [0002] Forest fire is one of the natural disasters in the world today that are widespread, harmful, time-sensitive, and extremely difficult to deal with and rescue. Forest fires not only cause huge damage to the ecological environment and natural landscape, but also seriously endanger the safety of people's lives and property, and seriously interfere with social stability and economic construction. China's forest coverage rate is less than 12%, and the per capita forest area and per capita forest stock volume are less than one-third of the world's average, and it is a country with frequent forest fires. Therefore, how to predict forest fire danger, and then provide decision support for forest fire prevent...

AI Technical Summary

Problems solved by technology

[0007] (1) Due to the relatively developed social economy in the southern region, the forest fire danger forecast in large areas makes the forest fire prevention work lose its pertinence and it is difficult to carry out effective prevention;

[0008] (2) Most of the forest fires in southern forest areas are caused by human factors, and they are highly correlated with terrain, location, vegetation and other information. The existing forest fire risk zoning methods rarely take these factors into consideration

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