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Stack Radius
Stack Z Coordinate
Stack Hight
Receptor
Stack Coordinat
X Length
Y Length
Delta
Rec.N
Meteorology DEM
RUN OUTPUT
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Output.xls
Output.txt
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DEM2D
UserDEM3D
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Developing Air Pollution Modeling (AERMOD) in
MATLAB Software
1Zahra Khebri, 21Farhad Nejadkoorki, 3Shahram Talebi
1-Master of Science, Department of Environmental Engineering, Yazd University, Yazd,
Iran
2-Associate Professor, Department of Environmental Engineering, Yazd University,
Yazd, Iran
3-Assistant Professor, Department of Mechanical Engineering, Yazd University, Yazd,
Iran
Received: 26-July-2014 Accepted: 4-May.-2016
Abstract Nowadays, air pollution is one of the main challenges worldwide. There have been significant improvements in
air quality dispersion modelling. AERMOD is one of these models which is based upon the Gaussian Model.
However, AERMOD has some limitations in terms of data input and output. Therefore improving this model as
well as developing new models adopted to our country is required to be addressed. The current research aims to
develop a new model in MATLAB programming software. AERMOD and MATLAB were first investigated
and then Atmospheric Dispersion Assessment Mapping Model (ADAMM) was proposed to displace AERMOD.
To verify the ADAMM, results of modelling for identical pollution sites were compared. It was found that
ADAMM overestimates concentrations of pollutants in comparison with AERMOD. However, ADAMM has
some advantages in particular as a domestic model in different areas. It performs better in short distances(<5
km, r=0.53) than far apart. In addition ADAMM provides a user friendly environment to manipulate input and
output data while reducing the simulation time. While AERMOD has specific file formats for its own input data,
ADAMM follows commonly used formats such as Microsoft Excel. Data output in ADAMM is presented in
different formats including MS Excel, ASCII, 2D and 3D. The other advantage of ADAMM is that it provides a
single interface for all necessary operations such as data input, manipulating, modelling, and data output while a
suite of modules are required to run AERMOD with each one performing a separated task.
Key Words: ADAMM Model, AERMOD, Air pollution modeling, MATLAB
1 Corresponding author: Phone: +983538200149 E-mail: [email protected]