Atmospheric boundary layer height detection method under non-precipitation condition and atmospheric boundary layer height detection system under non-precipitation condition

Abstract

The invention discloses an atmospheric boundary layer height detection method under the non-precipitation condition through the wind profile radar. The method comprises the steps that a cloud identification classifier is obtained by using the support vector machine technology based on multiple sets of space-time matched wind profile radar detection data and millimeter wave cloud radar detection data; the optimal wavelet base is selected; the optimal scale factor is calculated by using the least square method based on multiple sets of space-time matched wind profile radar detection data and airsounding data, and fitting of the function relationship between the optimal scale factor and the signal-to-noise ratio SNR data of the wind profile radar detection data is performed so that scale factor adaptation of the actual wind profile radar detection data in case of wavelet transform can be realized; and cloud or no-cloud identification is performed on the non-unique signal-to-noise ratio mutation point height obtained by wavelet transform by using the cloud identification classifier, and the height corresponding to the signal-to-noise ratio mutation point of which the identification result is no cloud acts as the atmospheric boundary layer height. The inversion method of the wind profile radar in case of atmospheric boundary layer height detection can be optimized, and the detection accuracy can be enhanced by application of the support vector machine so that misjudgment can be greatly reduced.

Description

technical field [0001] The invention relates to the technical field of atmospheric boundary layer height detection under non-precipitation conditions in remote sensing technology, in particular to a method and system for detecting the height of the atmospheric boundary layer by a wind profile radar under non-precipitation conditions based on wavelet transform and support vector machine. Background technique [0002] Under non-precipitation conditions, the height of the atmospheric boundary layer is the main parameter for studying the atmospheric boundary layer, and it is an important physical quantity that must be considered in the study of air pollutant diffusion, boundary layer structure, and atmospheric dynamics. The height of the atmospheric boundary layer is an important input parameter for pollutant dispersion models, climate models, and atmospheric models, and its accuracy is crucial to the results of the models. The traditional atmospheric boundary layer height detec...

AI Technical Summary

Problems solved by technology

In recent years, the technical performance of domestic wind profiler radar has made a qualitative leap, and many technical indicators have reached the international advanced level. Some research work has also been carried out on the detection of the atmospheric boundary layer height of wind profiler radar, but there are still many key technologies and scientific issues need to be further studied: (1) How to optimize the inversion method based on the existing wavelet-based wind profiler radar atmospheric boundary layer height detection technology, study the optimal wavelet base selection and adaptive scale factor determination method, and improve the inversion method. Drilling accuracy and stability to meet the needs of business applications

(2) At present, domestic and foreign research results...

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