Which Model to Choose? Performance Comparison of Statistical and Machine Learning Models in Predicting PM2.5 From High-Resolution Satellite Aerosol Optical Depth
The mathematical solution to estimate surface fine particulate matter (PM2.5) from columnar aerosol optical depth (AOD) includes complex variables and involves a bunch of assumptions. Hence, researchers tend to use training-based models to predict PM2.5 from AOD. Here, we integrated regulatory composite PM2.5 measurements, high-resolution satellite AOD, reanalysis meteorological parameters, and a few other auxiliary parameters to train ten different regression models.
Climate Change and National Clean Air Programme in Hubli–Dharwad
NABARD in collaboration with the Karnataka State Pollution Control Board and the Center for Study of Science, Technology and Policy organised a conference on climate change and the National Clean Air Programme in Ocean Pearl Resort, Rayapur, Dharwad, on 4 March 2022.