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Non-linear Regression Models for PM10 and PM2.5 Concentrations in Ambient Air due to Burning of Crop Residues

Lippi Chanduka, Ram Pal Singh and Amit Dhir

In Mandi-Gobindgarh, Punjab, India, open crop residue burning is one of the major sources of air pollution in the area besides pollutions from industries, vehicles, etc. In this paper, the impact of open crop residue burning on the concentrations of particulate matters (PM10 and PM2.5) in ambient air for paddy and wheat crops were monitored at five different locations during year 2012-2013. The air quality data for PM10 and PM2.5 were subjected to non-linear regression analysis for both paddy and wheat crop seasons. The regression models for PM10 are best described by the power functions, while for PM2.5 by the exponential functions with R2 values higher than 0.99. These models may prove useful tool in estimation of the PM10 and PM2.5 concentrations in ambient air for the areas where stubble burning is practiced by farmers.