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Urban air pollution: process identification, impact analysis and evaluation of forecast potential

IR@C-MMACS: CSIR-Centre for Mathematical Modelling and Computer Simulation, Bangalore

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Title Urban air pollution: process identification, impact analysis and evaluation of forecast potential
 
Creator Goswami, P
 
Subject Environment Pollution
 
Description The daily variations in the atmospheric pollutants like suspended particulate matter (SPM), respirable suspended particulate matter (RSPM), sulphur dioxide (SO2) and nitrogen dioxide (NO2) depend on both local meteorological processes and various natural as well as anthropogenic sources and sinks. It was shown in an earlier work (Goswami and Baruah in Mon Wea Rev 136(9):3597–3607, 2008) that the daily variations in SPM over a location could be simulated quite well by considering daily meteorological fields from NCEP Reanalysis in combination with a model for natural and anthropogenic sources over Delhi. In the present work, we extend the scope of the model to include three other pollutants: RSPM, SO2 and NO2. While the basic conservation equations and the meteorological fields are common to all the three (and SPM) pollutants, the sources and sinks for each is modeled in a species-specific manner to obtain maximum skill. As we do not consider active chemistry, the present model provides the minimal dynamics of pollution over an urban location in terms of annual load; the model error is about 10% on the average, with no significant bias for any of the species.
 
Publisher Springer-Verlag
 
Date 2011
 
Type Article
PeerReviewed
 
Format application/pdf
 
Identifier http://cir.cmmacs.ernet.in/247/1/MAPhy_PG%2DJuri.pdf
Goswami, P (2011) Urban air pollution: process identification, impact analysis and evaluation of forecast potential. Meteorology and Atmospheric Physics, 110 (3-4). pp. 103-122.
 
Relation http://cir.cmmacs.ernet.in/247/