Forest fire danger early warning method based on GIS and meteorological monitoring network

Abstract

The invention discloses a forest fire danger real-time early warning method based on a GIS and a meteorological monitoring network. The forest fire danger real-time early warning method mainly comprises two parts, namely forest fire danger real-time early warning model construction and fire danger early warning. The method includes the following steps that: (1) determining early warning factors required by a forest fire danger real-time early warning model in the method; (2) calculating the weight of the early warning factors by using an AHP method; (3) determining the division standards of early warning factor thresholds and early warning grades; (4) completing the construction of the real-time early warning model by using a GIS related technology; and (5) based on the model, collecting experimental data, and carrying out forest fire danger early warning. Experimental results show that (1) according to the early warning model, set real-time early warning indexes and set real-time meteorological monitoring data, early warning signals can be obtained one hour in advance, and early warning and timely response of county-level and forest farm-level forest fire dangers are rapidly achieved; and (2) by introducing a GIS visualization mode, spatial distribution information related to forest fire dangers in a research area can be quickly generated, and the change condition of an earlywarning level can be visually observed.

Description

technical field [0001] The invention belongs to the field of surveying and mapping science and technology, and relates to a method for real-time forest fire warning by using GIS related technology and a real-time meteorological monitoring network. Background technique [0002] In recent years, due to the abnormal changes in the global climate and the influence of human activities, forest fires have occurred frequently. The strong suddenness, great destructiveness and serious harm of forest fires will burn trees, endanger wild animals and plants, pollute the air, seriously threaten national economic development, global ecological balance and personal life and property safety, and lead to forest fire prevention. The trend is getting worse. Therefore, effective research on forest fire prevention has become an urgent need. In the work of forest fire prevention, real-time warning of forest fire danger is a key link. It is of great significance to forest fire prevention work, pr...

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Problems solved by technology

[0004] Research on forest fire early warning and forecasting based on remote sensing monitoring methods has achieved many results and is relatively mature. The above-mentioned forest fire early warning methods are generally based on one or more remote sensing data to extract forest fire early warning related data, but ignore the acquisition of remote sensing data. It is periodic, and it is difficult to extract forest fire early warning related data in real time

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