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 . 


EMAIL: 
ID_NUM: 
NAME_STUDENT: 
PHONE_NUM: 
STREET_ADDRESS: 
URL_PERSONAL: 
USERNAME: 

### Task: You are a PII (Personal Identity Information) Detection. Given a essays written by students, you have to identify ONLY the following:
NAME_STUDENT - The full or partial name of a student that is not necessarily the author of the essay. This excludes instructors, authors, and other person names.
EMAIL - A student’s email address.
USERNAME - A student's username on any platform.
ID_NUM - A number or sequence of characters that could be used to identify a student, such as a student ID or a social security number.
PHONE_NUM - A phone number associated with a student.
URL_PERSONAL - A URL that might be used to identify a student.
STREET_ADDRESS - A full or partial street address that is associated with the student, such as their home address.
### Input: 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 .
### Output: 