Estimation of Particulate Matter Mass Concentration Based on Generalized Regression Neural Network Model Combining Aerosol Extinction Coefficient and Meteorological Elements

Zusi Mo; Lingbing Bu; Qin Wang; Xuefei Lin; Samuel A. Berhane; Bin Yang; Chen Deng; Zhi Li

doi:10.3788/CJL202249.1710001

Chinese Journal of Lasers, Volume. 49, Issue 17, 1710001(2022)

Estimation of Particulate Matter Mass Concentration Based on Generalized Regression Neural Network Model Combining Aerosol Extinction Coefficient and Meteorological Elements

Zusi Mo¹, Lingbing Bu^1、*, Qin Wang¹, Xuefei Lin¹, Samuel A. Berhane¹, Bin Yang², Chen Deng², and Zhi Li²

Author Affiliations

¹Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, School of Atmospheric Physics, Nanjing University of Information Science and Technology, Nanjing 210044, Jiangsu, China

²Nanjing Mulei Laser Technology Co., Ltd., Nanjing 210038, Jiangsu, China

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Zusi Mo, Lingbing Bu, Qin Wang, Xuefei Lin, Samuel A. Berhane, Bin Yang, Chen Deng, Zhi Li. Estimation of Particulate Matter Mass Concentration Based on Generalized Regression Neural Network Model Combining Aerosol Extinction Coefficient and Meteorological Elements[J]. Chinese Journal of Lasers, 2022, 49(17): 1710001

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Paper Information

Category: remote sensing and sensor

Received: Nov. 15, 2021

Accepted: Jan. 14, 2022

Published Online: Jul. 28, 2022

The Author Email: Bu Lingbing (lingbingbu@nuist.edu.cn)

DOI:10.3788/CJL202249.1710001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology