Urban Air Quality Modelling and Simulation: A Case Study of Kolhapur (M.S.), India
Yogesh Sathe, Atul Ayare, and Girish Kulkarni
Journal Title:ACEE International Journal on Civil and Environmental Engineering
As a consequence of urbanization a phenomenal surge has been observed in the vehicular population in India, giving rise to elevated levels of traffic related pollutants like carbon monoxide, nitrogen oxides, hydrocarbons, and particulates in Indian urban centers. These pollutants can have both acute and chronic effects on human health. Thus air quality management needs immediate attention. Air quality models simulate the physical and chemical processes occurring in the atmosphere to estimate the atmospheric pollutant concentration. A variety of air quality models are available ranging from simple empirical models to complex Computational Fluid Dynamic (CFD) models. Air quality models can be a valuable tool in pollution forecasting, air quality management, traffic management and urban planning. This paper evaluates the performance of widely used Danish Operational Street Pollution Model (OSPM) under Indian traffic conditions. Comparison between predicted and observed concentrations was performed using both quantitative and statistical methods. OSPM was found to perform exceedingly well for the prediction of particulates whereas NO2 predictions were poorly predicted.