Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions

Air Pollution Forecasting Using Artificial and Wavelet Neural Networks with Meteorological Conditions

Abstract Air quality forecasting is a significant method of protecting public health because it provides early warning of harmful air pollutants. In this study, we used correlation analysis and artificial neural networks (ANNs; including wavelet ANNs [WANNs]) to identify the linear and nonlinear ass...

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Bibliographic Details
Main Authors: Qingchun Guo, Zhenfang He, Shanshan Li, Xinzhou Li, Jingjing Meng, Zhanfang Hou, Jiazhen Liu, Yongjin Chen
Format: Article
Language:English
Published: Springer 2020-05-01
Series:Aerosol and Air Quality Research
Subjects:
Air pollution
Wavelet artificial neural network
Meteorological factor
Forecast
Online Access:https://doi.org/10.4209/aaqr.2020.03.0097
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https://doi.org/10.4209/aaqr.2020.03.0097

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