Evaluation of Source Emissions Dispersion Potential Near a Coastal Village of Maharashtra, India
2022
P. P. Nandusekar, U. S. Mukkannawar, R. G. Jaybhaye, U. D. Kulkarni and P. N. Kamble
Industrial emissions are a serious environmental problem worldwide due to particulates and toxic gases. This study aims to generate an activity-specific emission inventory and estimate emissions dispersion extent in the vicinity of the coastal industrial village by simulating the existing coke oven and pellet plant emissions using the steady-state plume model. Continuous air quality monitoring results were compared with the predicted consequential emissions for the year 2018-19. The maximum ground-level concentrations of particulate and gases within the modeling simulation domain were observed at 9005 m away from the center. They were predicted to be 116.39 μg.m-3, 79.14 μg.m-3, 52.97 μg.m-3, and 211.86 μg.m-3. Data analysis showed that air mass transport from the project to the receptor sites resulted in ambient air concentrations higher than those observed in the other sites. Overall predicted results obtained from AERMOD Cloud simulations were shown to have less bias than the measured results. They recommended considering it as appropriate for the prediction of annual average concentration.
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