Keywords: regression, RSPM concentration, respirable suspended particulate matter, meteorological parameters, emissions, air pollution, wind, turbulence, atmospheric stability, Delhi, India, urban air quality, modelling
Effects of meteorological parameters on RSPM concentration in urban Delhi
The adverse effect of Respirable Suspended Particulate Matter (RSPM) has become a well-recognised problem in environmental science. Dispersion and dilution of air pollutants are strongly influenced by meteorological parameters, namely wind, turbulence, and atmospheric stability. The analysis of Delhi's air quality data shows that winter is the most critical season with respect to the concentrations of particulates matter and monsoon is the cleanest. In the present work a stepwise regression technique has been used for predicting the concentration of RSPM in urban Delhi. The models' performance has been further improved by taking a new independent variable i.e., the previous day's concentration, in addition to the meteorological parameters.