Level of fire danger of the local territory

Abstract

The object of the study is the fire risk of the local area. The problem to be solved is to take into account most of the significant parameters in the ter ritorial placement of fire-rescue units of different functional capacities. As part of the solution to this problem, a technique for assessing the fire risk of a large-scale local area has been devel oped. The methodology is focused on local territories of a large area with a low population density. A special fea ture of the proposed method is the dif ferentiated fire risk assessment of each point of the surface plane. For such an assessment, the parameters that are decisive from the point of view of impact on the fire hazard are analyzed and structured. The specified fac tors include the spatial distribution of population density and buildings, the transport and communication network, the spatial distribution of the density and type of vegetation, and statisti cal data on landscape fires. The use of existing geo-informational resources in real time is foreseen. A new approach of ranking the fire risk of the elementa ry plane of the territory in accordance with the necessary number of resources of rescue units to ensure the appropri ate level of safety is proposed. Neural network data processing methods were used to compare local area parame ters with fire risk ranks. A neural net work capable of comparing the fire risk of the territory with its parame ters was obtained. The functionality of the developed methodology was test ed and the fire risk levels of an arbi trary area were graded with an aver age degree of correlation of 0.97. The proposed method allows for assessment and correction of the state of provision of local territories with civil protection resources. The developed methodolo gy is especially relevant when creating new fire and rescue units of territorial communities