Method of Monitoring and Tracking Forest Fire Echoes Using Cinrad/sa Weather Radar

Abstract

The present invention utilizes CINRAD / SA weather radar to monitor and track forest fire echo method, through the four-neighborhood method to identify echo blocks, identify forest fire echo blocks according to data parameters, and judge "short, small" according to echo block data parameters , Weak” forest fires, and carry out continuous identification and judgment according to the characteristics of forest fires of “fixed in place and spreading”; exclude echo blocks with obvious position movement, rapid change in intensity and area, and further improve the accuracy of forest fire identification Setting up black and white list identification comparisons for non-forest fires can reduce false reports and detect forest fire resurgence in time, and save the timing diagrams and change curves of forest fire echo blocks that meet the early warning. The invention can automatically monitor, accurately identify and continuously track forest fires, and provide scientific basis for commanding forest fire prevention and rescue, safety protection of field electric equipment and the like.

Description

technical field [0001] The invention relates to a method for monitoring and tracking forest fire echoes by using CINRAD / SA weather radar. Background technique [0002] CINRAD / SA weather radar is a fully coherent pulse Doppler radar deployed nationwide. Its receiver has high sensitivity and strong detection capability. It can also detect echoes other than precipitation, for example, it can also detect echoes of reflectors floating in the air caused by forest fires and accidental explosions, so that the radar can monitor and track forest fires. [0003] There have been some relevant researches on the characteristics of forest fire echo at home and abroad. [0004] Banta et al. used laser Doppler radar and X-band Doppler weather radar to observe and analyze the smoke plumes produced by two forest fires, and believed that the laser radar and X-band Doppler weather radar can detect the three-dimensional forest fire echo. data. [0005] Melnikov et al. analyzed the dual-polariz...

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Problems solved by technology

[0009] Huang Kehui from the Wenzhou Meteorological Bureau analyzed and studied the radar echo characteristics of forest fires, and developed a set of methods and software for automatically identifying forest fire echoes based on the "clutter filtering method". The echo and small clutter are filtered, and the remaining echoes are considered as forest fire echoes, but the small clutter filtered by this method may filter out the initial small forest fire, and multiple forest fires cannot be identified at the same time;

[0010] Luo Hui et al. based on the "storm identification algorithm" to identify forest fire echoes, which improved the "clutter filtering method" to identify forest fires, which can identify multiple forest fires at the same time, but cannot track the echoes, and the It is difficult to identify and distinguish clutter such as ground object residues and clear sky echoes, so there is a problem of underreporting weak forest fires. In addition, it is impossible to check the occurrence and development trend of forest fire echoes, so it cannot be used in actual business work

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