Development of an automated photolysis rates prediction system based on machine learning-Reference-Cited by-同舟云学术

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Development of an automated photolysis rates prediction system based on machine learning

Published:2025-05 Issue: Volume:151 Page:211-224
ISSN:1001-0742
Container-title:Journal of Environmental Sciences
language:en
Short-container-title:Journal of Environmental Sciences

Author:

Pan Weijun,Gong Sunling^ORCID,Ke Huabing,Li Xin,Chen Duohong,Huang Cheng,Song Danlin

Publisher

Elsevier BV

Reference57 articles.

1. Spatial estimation of urban air pollution with the use of artificial neural network models;Alimissis;Atmos. Environ.,2018

2. An ensemble learning based hybrid model and framework for air pollution forecasting;Chang;Environ. Sci. Pollut. Res.,2020

3. An assessment of cloud effects on photolysis rate coefficients: comparison of experimental and theoretical values;Crawford;J. Geophys. Res. Atmos.,1999

4. Ozone and fine particle in the western Yangtze River Delta: an overview of 1yr data at the SORPES station;Ding;Atmos. Chem. Phys.,2013

5. Estimating solar radiation using NOAA/AVHRR and ground measurement data;Fallahi;Atmos. Res.,2018

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