PM2.5 Retrieval Using Aerosol Optical Depth, Meteorological Variables, and Artificial Intelligence
Author:
Affiliation:
1. Laboratory of Atmospheric Physics, Physics Department, University of Patras, GR-26500 Patras, Greece
2. NILU—Norwegian Institute for Air Research, 2027 Kjeller, Norway
Publisher
MDPI
Link
https://www.mdpi.com/2673-4931/26/1/136/pdf
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3. Satellite Remote Sensing for Estimating PM2.5 and Its Components;Li;Curr. Pollut. Rep.,2021
4. Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: Multiple regression approach;Gupta;J. Geophys. Res. Atmos.,2009
5. Particulate matter air quality assessment using integrated surface, satellite, and meteorological products: 2. A neural network approach;Gupta;J. Geophys. Res. Atmos.,2009
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