Aircraft wake vortex and turbulence measurement under near-ground effect using coherent Doppler lidar

The observation and identification of wake vortex are considered important factors to reduce aviation accidents and increase airport capacity. In addition to aircraft parameters, the evolution process of the wake vortex is strongly related to atmospheric conditions, including crosswind, headwind, atmospheric turbulence, and temperature stratification. Crosswind generally affects the wake vortex trajectories by transporting them to the downwind direction. Additionally, the circulation attenuation of wake vortex is also influenced by crosswind shear or turbulence related to crosswind. This paper implemented the range height indicator (RHI) scanning mode of pulsed coherent Doppler lidar (PCDL) to study the influence of crosswind on wake vortex evolution. The crosswind was obtained from the non-wake vortex regions of the RHI sectors. The method, based on the measurements of radial velocity and spectrum with the broadening feature, was performed to locate wake vortex cores. The wake vortex trajectories with various crosswind strengths were comprehensively analyzed.

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Identification of Aircraft Wake Vortex Based on SVM

Mathematical Problems in Engineering ◽

10.1155/2020/9314164 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Weijun Pan ◽

Zhengyuan Wu ◽

Xiaolei Zhang

Keyword(s):

Environmental Parameters ◽

Classification Model ◽

Support Vector ◽

Wake Vortex ◽

Doppler Lidar ◽

Pulsed Doppler ◽

Wind Fields ◽

Wake Turbulence ◽

Aircraft Wake ◽

Separation Standards

The aircraft wake vortex has important influence on the operation of the airspace utilization ratio. Particularly, the identification of aircraft wake vortex using the pulsed Doppler lidar characteristics provides a new knowledge of wake turbulence separation standards. This paper develops an efficient pattern recognition-based method for identifying the aircraft wake vortex measured with the pulsed Doppler lidar. The proposed method is outlined in two stages. (i) First, a classification model based on support vector machine (SVM) is introduced to extract the radial velocity features in the wind fields by combining the environmental parameters. (ii) Then, grid search and cross-validation based on soft margin SVM with kernel tricks are employed to identify the aircraft wake vortex, using the test dataset. The dataset includes wake vortices of various aircrafts collected at the Chengdu Shuangliu International Airport from Aug 16, 2018, to Oct 10, 2018. The experimental results on dataset show that the proposed method can identify the aircraft wake vortex with only a small loss, which ensures the satisfactory robustness in detection performance.

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Measurements of aircraft wake vortex parameters by a Stream Line Doppler lidar

Atmospheric and Oceanic Optics ◽

10.1134/s1024856017060136 ◽

2017 ◽

Vol 30 (6) ◽

pp. 588-595 ◽

Cited By ~ 4

Author(s):

I. N. Smalikho ◽

V. A. Banakh ◽

A. V. Falits

Keyword(s):

Stream Line ◽

Wake Vortex ◽

Doppler Lidar ◽

Aircraft Wake

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The Generation and Detection of Sound Emitted by Aircraft Wake Vortices in Ground Effect

Journal of Atmospheric and Oceanic Technology ◽

10.1175/jtech1718.1 ◽

2005 ◽

Vol 22 (5) ◽

pp. 543-554 ◽

Cited By ~ 2

Author(s):

William L. Rubin

Keyword(s):

Ground Effect ◽

Aircraft Noise ◽

Wake Vortex ◽

Wind Noise ◽

Vortex Sound ◽

Wake Vortices ◽

International Airport ◽

Aircraft Landing ◽

Aircraft Wake ◽

Noise Spectra

Abstract Sound recorded by the author in March 2002 at JFK International Airport shows that wake vortices in ground effect emit infrasound that is 1) more than 40 dB stronger than audible wake vortex sound; 2) substantially stronger than the infrasound component of wind noise and airport noise; and 3) comparable to, and often stronger than, the infrasound component of aircraft noise. Spectra and time plots of the magnitude of wake-vortex-generated sound are presented for aircraft landing on JFK runway 31R.

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