ISCST3

Rapid urbanization in India has resulted in alarming rate of construction activities in and around the urban centres. The emphasis of widespread implementation of infrastructure projects have raised concern about the deterioration in ambient air quality due to fugitive suspended particulate matter (SPM) emissions. The magnitude of emissions of such particulates into atmosphere is governed by the intensity of activities such as blasting, excavation, transportation, material transfer, wind erosion, etc,. Hence for better understanding of the fate of such airborne particulates in atmosphere, mathematical simulation of the particulate dispersion under various climatic conditions are necessary. This study is based on application of Industrial Source Complex Sort-Term (ISCST3) for prediction of fugitive emissions from a construction activity. The emission inventory and meteorological data are primary inputs for air quality modelling. The study showed that fugitive emissions from construction activity can travel much farther than generally perceived. Hence, underlining the importance and need for fugitive emissions from such activities and their impact.

Urbanisation in India has become rapid over past years. Rapid industrialization in Bengaluru has led to increased demand for resources such as land, electricity and water, and as a result the air pollution levels have increased. This has led to the migration of industries towards periphery of urban boundaries of Bengaluru as well as peri-urban areas such as Mysore, \o651Mangalore, Bhadrawathi, etc. From the government policy perspective, there is a compulsory need to understand the potential environmental impact of the new and emerging technologies, with air quality impact being one of the most important issues to be addressed. Implementation of air quality management and public warning strategies for accurate forecasts of the atmospheric concentration of pollutants as function of space and time are necessary. A variety of emission and meteorological scenarios have been considered and critical emission loads have been estimated. This approach shall provide necessary technical guidance to the environmental regulatory authorities as well as to the industries in planning environment friendly industrial development. The results of modelling studies and ambient air quality monitoring data have shown that the concentrations of SO 2 and NO 2 are within the standards as per National Ambient Air Quality Standards (NAAQS). Thus, indicating a good atmospheric assimilative capacity over industrial area of Mysore. 1 Introduction New technologies are being developed to satisfy the material needs of human beings. From a government policy perspective, there is a compulsory need to understand the potential environmental impact of the new and emerging technologies, with air quality impact being one of the most important issues to be addressed. Control and management strategies for air pollution involve determination of concentration levels of the pollutants in the ambient air by monitoring, modelling and forecasting techniques. Direct measurement of a quantity is more reliable and accurate; however, due to complex behaviour of air pollutants, monitoring involves a huge cost and consumes more time and manpower. The dispersion of pollutants in ambient atmosphere is a function of variables such as wind speed, wind direction, ambient air temperature, humidity, stack height and diameter, stack gas temperature, emission rate and pollutant species present in the flue gas. The secondary factors that control the rate of dispersion of pollutants in atmosphere are terrain or profile of ground and land use pattern. Due to the variable nature of meteorological factors governing the dispersion of pollutants in atmosphere, it is required to consider a wide time range of meteorological data. This enables us to arrive at a nearly true dispersive nature of pollutants in atmosphere at different hours of a day and seasons of a year.