Air Quality Predictions through Mathematical Modeling for Iron Ore Mine Project
Naresh Kumar Katariya,
Bhanwar Singh Choudhary,
Prerna Pandey
Abstract:Mathematical modeling was deployed to predict air quality during the construction and operation phases of an iron ore mine project in Maharashtra, India. A survey of different models revealed that the ISCST3 model was the most applicable one to predict the air quality parameters, particularly the suspended particulate matter (SPM) and coarse particulate matter (PM10). Baseline air quality data, emission rates, local meteorology, and terrain information were used to simulate the ground-level concentrations. The… Show more
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