機場多普勒激光雷達風切變探測與識別
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Detection and Identification of Wind Shear Using Airport Doppler LIDAR
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    摘要:

    近年來北京首都國際機場航班量增長,遭遇風切變的概率增加,目前仍缺乏有效預警風切變的手段。本文使用安裝在北京首都國際機場跑道旁邊的多普勒激光雷達執行下滑道掃描模式,對跑道附近區域進行風場探測,獲取飛機起降區域的三維風場結構。通過對實時探測資料進行插值處理,選取飛機下降過程中所經區域內的數據來構成下滑道頂風廓線,并采用風切變識別算法對頂風廓線進行檢測,以此獲得風切變發生的位置和區域,并將其標識出來,從而為管制員指揮飛機起降以及飛行員執行飛機起降提供預警。本文使用飛機機組提供的風切變報告對研究結果進行驗證,結果表明該方法能檢測出飛機下滑道路徑上的風切變,統計結果顯示預警率達到了7333%。研究結果為多普勒激光雷達有效探測和識別機場風切變提供了參考依據。

    Abstract:

    Along with the increasing flights at the Beijing Capital International Airport in recent years, the probability of encountering wind shear has greatly increased. Until now, there is no effective method for wind shear early warning. Wind LIDAR can quickly scan a wind field in three dimensions, and its measurement range is 45 to 4000 m. The LIDAR of the Beijing Capital International Airport is installed next to the west runway, and it adopts the glide path scanning mode which can capture the wind field of the aircraft’s takeoff and landing areas in three dimensions. In this paper, the realtime detection data is interpolated, and the data in the area passed by the aircrafts during the descent are selected to form the glide path headwind profile, and the wind shear detection algorithm is used to detect the wind shear from the headwind profile. Then the location and the time when wind shear happens are obtained and identified.In this paper, the wind shear reports provided by the flight crew are used to verify the research results. The verified results show that the method can detect wind shear on the path of the aircraft glide path, and the warning rate reaches 73.33%. The research proves that Lidar can detect and identify wind shear effectively.

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張曦,張建軍,丁媛媛,劉曉英,何志強.機場多普勒激光雷達風切變探測與識別[J].氣象科技,2021,49(2):184~191

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  • 收稿日期:2020-04-19
  • 定稿日期:2020-10-23
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  • 在線發布日期: 2021-04-25
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