Assessing influence of some meteorological parameters on airborne particulate matters in the Himalayan hill-station of Darjeeling - A preliminary assessment
Subhasis Banerjee, Sanjay K. Ghosh

TL;DR
This study investigates how various atmospheric parameters influence airborne particulate matter levels in Darjeeling, using correlation and regression analyses across different seasons to develop predictive models.
Contribution
It provides a preliminary statistical assessment of meteorological effects on particulate matter in a Himalayan hill station, incorporating seasonal analysis.
Findings
Significant correlations between meteorological parameters and RSPM levels.
Development of a statistical model predicting RSPM based on atmospheric parameters.
Seasonal variations influence particulate matter concentrations.
Abstract
In this article influence of sew atmospheric parameters on the level of RPM concentration in hill station of Darjeeling have been assessed. We performed correlation studies among RSPM concentration and selected atmospheric parameters. We also performed stepwise multiple regression analysis taking RSPM concentration as dependent variable to develop statistical model. We analyzed the data taken for an entire year first as a whole, and then season wise.
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Taxonomy
TopicsAir Quality Monitoring and Forecasting · Air Quality and Health Impacts · COVID-19 impact on air quality
