عنوان مقاله [English]
نویسنده [English]چکیده [English]
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.