TOOLS USED FOR THIS COURSE IS VISUALIZATION

Challenge:

Here I am going to describe the challenges, which I faced in my research.  I did my research in the field  of Air pollution, I also predicted the Movement of air pollutants in the atmosphere with reference to  the existing Meteorological conditions.  In my research I can simulate the Meteorological conditions  by using a MET model and also I can use a Dispersion model to predict the movement of air pollutants.  The real challenge in my research is how the peoples living in that areas are affected because of the  air pollution.

Selection:

The selected tool for the research is AERMOD (AIR DISPERSION MODEL- US EPA), The model uses  Gaussian plume model as the base. AERMOD was developed by American Meteorological society/  Environmental protection regulatory. It is a steady state model and widely used in the plume  dispersion studies. AERMOD model is used as a regulatory tool in policy making for many air pollution  management programs. AERMOD dispersion model consist of two Pre-processors namely AERMET (A  meteorological pre-processor) and AERMAP (A terrain data Pre-Processor). Aermet is a pre-processor  software used in the AERMOD dispersion model exclusively used to analyses and predict the  METEOROLOGICAL conditions.  Dispersion of pollutants especially in the gaseous form purely depends  on the meteorological conditions like Wind Speed, Wind direction, ambient temperature and the  mixing height. Both Meteorological parameters as well as the emission parameters will be considered  as the Input parameters for the AERMOD model.

AERMOD is an advanced dispersion model developed by American Meteorological society and I  selected this model because accuracy of prediction is very high in case of AERMOD model.

Application:

I used the AERMOD model to predict the movement of pollutants in the environment and also the  Meteorological scenarios with respect to the pollutants behaviour.

The components of Aermod model are described below.

COMPONENTS  DESCRIPTION

AERMET  A meteorological pre-processor

AERMAP  A terrain data pre-processor

AERMOD  A dispersion model

Suitable inputs were given to the model and the output results were obtained from the model, which  clearly explains the pollutants transportation and the meteorological conditions for the study area.

The dispersion model tool is applied effectively and successfully. The output results were almost 90 %  correlated with the actual results.

Insight

From this model I clearly understand, how the emissions coming out from the Industry stacks, how  the emissions mixing with the atmospheric gases. And also I clearly understand how the pollutants  move in the atmosphere with respect to meteorological parameters. Now I also conducted the health  survey along in the path of the pollutants. The health survey results almost 90 % exactly correlated  with the Prediction results. Now I can suggest, some of the health impact studies due to air pollution,  these dispersion model results will serve as a Key tool in impact prediction.

Approach

For current research I considered my pollutants source as chimney and it will considered as a fixed  source as well as the point source.  The same Dispersion model (AERMOD) can also be used for the  fugitive source (non-point source, eg: Landfill gases) and the vehicular emissions (Non- fixed source).   We can also use the tool for the studies associated with volume source of pollutions and the Vehicular  emissions.


TOOLS USED FOR THIS COURSE IS VISUALIZATION Challenge : Here I am going to describe the challenges , which I faced in my research . I did my research in the field of Air pollution , I also predicted the Movement of air pollutants in the atmosphere with reference to the existing Meteorological conditions . In my research I can simulate the Meteorological conditions by using a MET model and also I can use a Dispersion model to predict the movement of air pollutants . The real challenge in my research is how the peoples living in that areas are affected because of the air pollution . Selection : The selected tool for the research is AERMOD ( AIR DISPERSION MODEL- US EPA ) , The model uses Gaussian plume model as the base . AERMOD was developed by American Meteorological society/ Environmental protection regulatory . It is a steady state model and widely used in the plume dispersion studies . AERMOD model is used as a regulatory tool in policy making for many air pollution management programs . AERMOD dispersion model consist of two Pre - processors namely AERMET ( A meteorological pre - processor ) and AERMAP ( A terrain data Pre - Processor ) . Aermet is a pre - processor software used in the AERMOD dispersion model exclusively used to analyses and predict the METEOROLOGICAL conditions . Dispersion of pollutants especially in the gaseous form purely depends on the meteorological conditions like Wind Speed , Wind direction , ambient temperature and the mixing height . Both Meteorological parameters as well as the emission parameters will be considered as the Input parameters for the AERMOD model . AERMOD is an advanced dispersion model developed by American Meteorological society and I selected this model because accuracy of prediction is very high in case of AERMOD model . Application : I used the AERMOD model to predict the movement of pollutants in the environment and also the Meteorological scenarios with respect to the pollutants behaviour . The components of Aermod model are described below . COMPONENTS DESCRIPTION AERMET A meteorological pre - processor AERMAP A terrain data pre - processor AERMOD A dispersion model Suitable inputs were given to the model and the output results were obtained from the model , which clearly explains the pollutants transportation and the meteorological conditions for the study area . The dispersion model tool is applied effectively and successfully . The output results were almost 90 % correlated with the actual results . Insight From this model I clearly understand , how the emissions coming out from the Industry stacks , how the emissions mixing with the atmospheric gases . And also I clearly understand how the pollutants move in the atmosphere with respect to meteorological parameters . Now I also conducted the health survey along in the path of the pollutants . The health survey results almost 90 % exactly correlated with the Prediction results . Now I can suggest , some of the health impact studies due to air pollution , these dispersion model results will serve as a Key tool in impact prediction . Approach For current research I considered my pollutants source as chimney and it will considered as a fixed source as well as the point source . The same Dispersion model ( AERMOD ) can also be used for the fugitive source ( non - point source , eg : Landfill gases ) and the vehicular emissions ( Non- fixed source ) . We can also use the tool for the studies associated with volume source of pollutions and the Vehicular emissions .