Prediction of Atmospheric Bioaerosol Number Concentration Based on PKO–AGA–SVM Fusion Algorithm and Fluorescence Lidar Telemetry

Prediction of Atmospheric Bioaerosol Number Concentration Based on PKO–AGA–SVM Fusion Algorithm and Fluorescence Lidar Telemetry

In order to realize early warning prediction of the distribution characteristics of atmospheric bioaerosol content, this paper proposes using fluorescence lidar as a technical means to establish a prediction model of atmospheric bioaerosol concentration by obtaining the observation data set of bioae...

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Bibliographic Details
Main Authors: Zhimin Rao, Yicheng Li, Jiandong Mao, Hu Zhao, Xin Gong
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Atmosphere
Subjects:
atmospheric bioaerosol
fluorescence lidar
PSO–GA–SVM fusion algorithm
concentration prediction
Online Access:https://www.mdpi.com/2073-4433/16/6/638
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