From the 1 of 16 linked papers with an AI index.
1 citations · 1 across the 4 of their papers we have counts for
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Universal Features in Atmospheric Particulate Matter Dynamics
Suchismita Banerjee, Koyena Ghosh, Urna Basu +1
We study statistical properties of atmospheric particulate matter fluctuations using six years of daily PM2.5 concentration data from fifty-four Indian cities. Despite diverse urba…
Classifying Urban Regions by Aggregated Pollutant Weather Correlation Strength: A Spatiotemporal Study
Koyena Ghosh, Suchismita Banerjee, Urna Basu +1
Understanding pollutant meteorology interactions is essential for environmental risk assessment. This study develops an entropy-based statistical framework to analyze static and te…
Entropy-Based Analysis of Urban Pollutant-Weather Correlations
Suchismita Banerjee, Koyena Ghosh, Moumita De +2
We employ statistical physics and information-theoretic methods to quantify the dependencies between key atmospheric pollutants and meteorological variables across multiple Indian…
An entropy based comparative study of regional and seasonal distributions of particulate matter in Indian cities
Suchismita Banerjee, Urna Basu, Banasri Basu
Particulate matter (PM), especially , is a critical air pollutant posing significant risks to human health and the environment in India. This study, using six year…