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Title: Coupled Receptor-Dispersion model evaluation for the assessment of area source emission rate
Authors: Anu, N
Nandagopal, M S G
Aneesh, V
Selvaraju, N
Keywords: Air pollution;Receptor model;Shear model;Emission rate;Receptor concentration
Issue Date: May-2015
Publisher: NISCAIR-CSIR, India
Abstract: Atmospheric pollution is a major disaster in the current century. The geometry of pollutants emission from various sources has been categorised as point, area and volume. Particulate matters (PM10 & PM2.5), gaseous pollutants and volatile organic carbons (VOCs) are the significant pollutants from various source types due to natural as well as anthropogenic activities. These pollutants once entered into the atmosphere get transport due to the meteorological aspects and other reasons. Hence the cause effect of these significant species may adversely generate negative impacts on the environment called receptors. The current research work focused on the prediction of emission rate (Q, unit/sec) from an area source through a combined receptor-dispersion (shear) model analysis. The Shear model coupled with chemical mass balance receptor model will produce better emission rate estimation from an area source such as agricultural land. For this vertical mixing height (z) in the dispersion model has been considered as 2 m and the area has been divided to 100 strips of width 10 m. Shear model predicts the concentration of pollutants which is emitted from an area source. Chemical mass balance model can estimate the contribution of these sources at far distance say 1000 m from the source of emission. The results obtained from these distinct approaches have been cordially assessed for refining dispersion model parameter such as emission rate (Q, unit/sec) using coupled receptor-dispersion (area source) model. The observation was adequate for error in the emission rate increases as receptor concentration varies for 20%, 40%, 60% and 80% in both objective functions J3 and J4 considered. The results obtained were clearly suggests the individuals to make use of the coupled model approach for a better pollutant emission management at the location.
Page(s): 296-301
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.74(05) [May 2015]

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