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@article{183976,
        author = {Sandeep N. Zade and Preeti Zade},
        title = {Dispersion modelling to assess ambient air quality impact due to carbon industry},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {3},
        pages = {3774-3783},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=183976},
        abstract = {Industrial activities are significant contributors to elevated emission rates of particulate matter, total particulate matter (TPM), and other pollutants. The proximity of numerous industrial plants to densely populated areas can severely impact human health. The ramifications may be exacerbated when these emissions are compounded by pre-existing background concentration levels. This paper addresses the evaluation of TPM pollution attributable to industrial operations near the villages of Patalganga in the Raigad district. An atmospheric dispersion model, AERMOD version 8.8.9, was employed for this analysis. An inventory of emission sources was meticulously compiled for the carbon manufacturing sector. Villages within a 5 km radius were designated as primary receptors. Meteorological data spanning one year was processed utilizing the AERMET processor. The model was executed for TPM pollutants under various scenarios. The model outputs were juxtaposed against the National Ambient Air Quality Standards (NAAQS) established in 2009. Model simulations were conducted for annual, seasonal, and daily averaged emission scenarios. All ground-level concentrations (GLCs) at receptor locations (villages) were found to remain below the prescribed norms. Daily averaged model simulations are instrumental in elucidating plume dispersion and conducting a hotspot analysis of stack emissions. Seasonal averaged model outputs were evaluated in relation to sensitive receptors selected in all four cardinal directions of the industry. It was observed from the seasonal model runs that pollutant concentrations at receptors fluctuated in accordance with seasonal variations in meteorological conditions. All GLC values for TPM at key receptor locations were consistently below the NAAQS, 2009 standards. It was concluded that the aforementioned industry operates safely within this region.},
        keywords = {Pollutant, Dispersion, Impact, Modelling, TPM, and Air Mode Model.)},
        month = {August},
        }