Measurements on Stationary Source Emissions and Assessing Impact on Ambient Air Quality around Two Indian Refineries
Autor: | Chalapati Rao, Ashok Gangadhar Gavane, A. D. Bhanarkar, Deepanjan Majumdar |
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Rok vydání: | 2019 |
Předmět: |
stack emission
lcsh:GE1-350 isc-aermod Atmospheric Science air pollution Oil refinery Air pollution Environmental engineering Major stationary source Atmospheric dispersion modeling medicine.disease_cause lcsh:TD1-1066 Ambient air Quality (physics) medicine Environmental science ground level concentration lcsh:Environmental technology. Sanitary engineering dispersion modeling lcsh:Environmental sciences General Environmental Science |
Zdroj: | Asian Journal of Atmospheric Environment, Vol 13, Iss 2, Pp 73-87 (2019) |
ISSN: | 2287-1160 1976-6912 |
DOI: | 10.5572/ajae.2019.13.2.073 |
Popis: | Emissions of particulate matter (PM), SO2 and NO2 from stationary sources and their concentration along with benzene and CO in ambient air around two Indian refineries were studied. Prediction of ground level concentration (GLC) of SO2, NO2 and PM was made by dispersion modeling. In Refinery 1, highest SO2 emission (646 mg Nm-3) were detected in Sulphur Recovery Unit while NOx emissions ranged from 57.8 to 445.0 mg Nm-3, respectively from various units. In Refinery 2, highest SO2 emission (935 mg Nm-3) was observed from Utility Boiler while NO2 emissions ranged from 13 to 235 mg Nm-3. Above emissions were within the stipulated emission standards prescribed by Central Pollution Control Board of India. Further, ambient concentrations of the above in the vicinity of these refineries were below their prescribed national ambient air quality standards. Air quality in terms of air quality index (AQI) was moderate or good at the study sites. Dispersion modelling exercise indicated that the observed GLC of SO2 and NO2 could be reasonably predicted by ISC-AERMOD model for both refineries while there was moderate to substantial difference between observed and modeled PM values due to presence of several sources of particulate emissions in the region that could not be considered in the model. |
Databáze: | OpenAIRE |
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