Air pollution modeling provides a comprehensive analysis of air quality issues, identifying factors such as emission sources and meteorological processes. It enhances understanding beyond localized measurements, offering guidance for mitigation strategies. Currently, steady-state Gaussian-plume models are the most widely used for estimating pollutant dispersion over various distances.

1. Air Pollution Modeling (AQM) and
APTI
Sandeep Kumar
Centre for Environment Science and Climate Resilient
Agriculture
ICAR-Indian Agricultural Research Institute
New Delhi 110012

2. Model ?
A model is a simplified picture of reality or real situation.
It doesn’t contain all the features of the real system but
contains the features of interest for the management
issue or scientific problem we wish to solve by its use.
Models are widely used in science to make predictions
and/or to solve problems, and are often used to identify
the best solutions for the management of specific
environmental problems.

3. Using air pollution model
Why??

4. Air pollution measurements give important, quantitative
information about ambient concentrations and
deposition, but they can only describe air quality at
specific locations and times, without giving clear
guidance on the identification of the causes of the air
quality problem.

5.  Air pollution modeling, instead, can give
 a more complete deterministic description of the air
quality problem, including an analysis of factors and
causes (emission sources, meteorological processes, and
physical and chemical changes), and some guidance on
the implementation of mitigation measures.

6. Pollutants discharged into the air are transported over
long distances by large-scale air-flows and dispersed by
small-scale air-flows or turbulence, which mix
contaminants with clean air.
This dispersion by the wind is a very complex process
due to the presence of different-sized eddies in
atmospheric flow.
There is no complete theory that describes the
relationship between ambient concentrations of air
pollutants and the causative meteorological factors and
processes.

7.  Currently, the most commonly used dispersion models
are steady-state Gaussian-plume models.
 Air dispersion models are used to provide an estimate of
a concentration or deposition of a pollutant emitted from
an point, line and area source.
 There are numerous models that are used for both short-
range local scale modelling (<20 km), and long-range,
regional/trans-boundary, air pollution (>50km).

8. Over view of the air pollution modeling procedure
compare to
monitoring
data

9. Air pollution dispersion models
AQM
s
Physical Deterministi
c
Statistica
l
Wind
tunnel
Simulation
Regration
al
Empirica
l
Time
depende
nt
Steady
state
Gaussia
n Plume
Trajector
y
PuffSpectralGridBox
Eulerian Lagrangia
n

10. धन्यवाद