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
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Creator |
Goswami, P
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Subject |
Environment Pollution
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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.
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Publisher |
Springer-Verlag
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Date |
2011
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Type |
Article
PeerReviewed |
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Format |
application/pdf
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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. |
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Relation |
http://cir.cmmacs.ernet.in/247/
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