廣東地區山火識別方法及其在電網中的應用
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廣東電網公司電力科學研究院重點科研項目“輸電線路山火風險綜合評估項目”(GDKJXM20173024)資助


Wildfire Identification in Guangdong and Its Application in Power Grid
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    摘要:

    廣東省電網分布密集,覆蓋范圍廣,下墊面地表環境復雜,因此容易遭受自然災害的侵襲。山火作為災害之一,對輸電線路影響較大,及時有效地實現對山火的監測預警具有重大意義。本文在MODIS山火識別原理的基礎上對廣東地區進行山火衛星遙感監測,為提高監測精度,文中分別基于時間、空間、云覆蓋程度等因素進行了廣東省及周邊地區2017年典型火點亮溫及背景亮溫的統計,在此基礎上得到更符合當地火點判識標準的閾值表。經驗證,該方法在2017年4月3日廣東省及周邊火點的自動判識中精度可達90.5%,并且多次在廣東省電網山火監測中發揮了預警作用。

    Abstract:

    The power grid in Guangdong Province is densely distributed and covers a wide area. The surface environment is complex, so it is vulnerable to natural disasters. As one of the disasters, wildfires have a great impact on the electric transmission lines, and it is of great significance to realize the monitoring and early warning of wildfires in a timely and effective manner. In this paper, based on the principles of MODIS mountain fire identification, the satellite remote sensing monitoring of mountain fires in Guangdong is carried out. In order to improve the monitoring accuracy, the brightness and background brightness temperature of typical fire points in 2017 in Guangdong Province are calculated based on factors such as time, space and cloud coverage. According to the statistical results, the threshold value applicable to the local fire point identification is obtained. It is verified that the accuracy of this method can reach 905% in the automatic identification of fire spots in Guangdong Province and surrounding areas on 3 April 2017, and this method has played an early warning role in the monitoring of mountain fires in Guangdong Province.

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周恩澤,黃勇,陳潔,魏瑞增,王彤,隋三義.廣東地區山火識別方法及其在電網中的應用[J].氣象科技,2020,48(1):132~140

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  • 收稿日期:2019-01-14
  • 定稿日期:2019-07-22
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  • 在線發布日期: 2020-02-26
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