罗辉,张杰,朱克云,张曙光,黄克慧.基于风暴识别算法的森林火灾识别[J].火灾科学,2014,23(4):218-224.
基于风暴识别算法的森林火灾识别
Storm cell identification algorithm to identify forest fires
投稿时间:2014-02-21  修订日期:2014-07-11
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DOI:10.3969/j.issn.1004-5309.2014.04.01
基金项目:四川省环境保护重大科技专项(2013HBZX01); 高原气象观测与应用创新团队(2013328); 浙江省气象局科研项目(2013ZD04-6)
作者单位
罗辉 成都信息工程学院大气科学学院和高原大气与环境四川省重点实验室成都 610225 
张杰 成都军区空军气象中心成都 610041 
朱克云 成都信息工程学院大气科学学院和高原大气与环境四川省重点实验室成都 610225 
张曙光 成都信息工程学院大气科学学院和高原大气与环境四川省重点实验室成都 610225 
黄克慧 浙江省温州气象雷达站, 温州 325027 
中文关键词:  火灾识别  风暴识别  森林火灾  多普勒天气雷达
英文关键词:Fire identification  Storm identification  Forest fires  Doppler weather radar
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中文摘要:
      采用风暴识别算法对森林火灾进行了识别。首先根据参数阈值调整后的风暴识别算法,得到二维分量,结合不同云回波与火灾回波的差异,对火灾回波进行识别。根据算法对浙江省温州市三次森林火灾过程进行识别,结果显示:对于三次火灾过程都能够有效识别。对于火灾发生初期和熄灭时,由于回波强度较弱,回波结构松散,与小范围弱回波混合,导致漏识别。当回波中存在小范围地物杂波时,由于其尺度与小面积火灾接近,最终导致误识别。在森林火灾发生时,该算法可以帮助识别发生火灾的位置,为消防人员提供及时可靠的火灾地点及起火时间。
英文摘要:
      This paper studies the recognition of forest fires on the basis of storm cell identification and tracking algorithm. First, a two-dimensional component is obtained based on the storm cell identification algorithm with parametric thresholds adjustment, which is combined with the differences between cloud and fire echo to identify forest fires. The algorithm is used in the identification of three forest fires which happened in Wenzhou. The result shows that the algorithm is able to effectively identify the processes of the fires. Because the echo is weak, and the structure is loose or mixed with other weak echoes, the forest fires cannot be well identified, leading to failure of identification at the beginning and end of the fire. When there is a small range of ground clutter echoes, due to their sizes are similar to small scale fire, the final result would be misrecognition. At the time of the fire, the algorithm can help identify the fire location, providing firefighters with timely and reliable information of fire site and time, and help them put out the fire in time.
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