Modeling of Transport Processes for Air Pollutants Enhanced with Geographic Information System
The message of this research is that meteorological data should be resolved first to obtain their resultants. The resultants of the meteorological data, wind speed and direction are then used for the evaluation of Pasquill-Gifford plume dispersion model for better accuracy. Air pollutants dispers...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English English |
| Published: |
2004
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| Online Access: | http://psasir.upm.edu.my/id/eprint/276/1/549570_FK_2004_82.pdf http://psasir.upm.edu.my/id/eprint/276/ |
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| Summary: | The message of this research is that meteorological data should be resolved first to obtain their
resultants. The resultants of the meteorological data, wind speed and direction are then used for
the evaluation of Pasquill-Gifford plume dispersion model for better accuracy. Air pollutants
dispersing in the atmosphere have another force acting on them. The force that is acting on the
air pollutants is the wind velocity, which has both magnitude and direction. The wind finally
succeeds in diverting and altering the normal speed and direction of the pollutant. Under still air,
air pollutants can disperse normally in the atmosphere at their own speed and direction. The
speed and force of the wind normally dominate the air pollutants. This is why resultant speed is
absolutely necessary in tracing air pollutants dispersion. The resultant speed and direction are
like the true speed and direction of the pollutant. The use of trigonometry in determination of
resultant speed and direction gives more accuracy in locating the true position of the pollutant in
the form of position vector. This research has used a geometric approach to trace air pollutants in
the form of position vectors. When the equation is resolved the resultant speed and direction usually come out. This resultant speed in turn is used to evaluate Pasquill-Gifford plume
dispersion model to get the accurate concentration of the pollutants. Observed CO data from
Kajang town of Malaysia has been used to validate the model. The research further enhances the
model with Geographic Information Systems. Dots density is used to represent distribution of
pollutant molecules, polygon to represent buildings and lines to represent roads or rails. This
research, having used a new method of simulating the movement of air pollutants with respect to
winds direction, applied geographical information systems (GIS) to display in a town map the
movement of air pollution. |
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