Visualising point source pollutant concentration level dispersion using the gaussian model

• Main Authors: Choo, Khing Onn, Zaturrawiah Ali Omar, Justin Sentian
• Format: Article
• Language: English; English
• Published: Universiti Malaysia Sabah 2019
• Subjects: QA75.5-76.95 Electronic computers. Computer science; RA790-790.95 Mental health. Mental illness prevention
• Online Access: https://eprints.ums.edu.my/id/eprint/30470/1/Visualising%20point%20source%20pollutant%20concentration%20level%20dispersion%20using%20the%20gaussian%20model.pdf; https://eprints.ums.edu.my/id/eprint/30470/2/Visualising%20point%20source%20pollutant%20concentration%20level%20dispersion%20using%20the%20gaussian%20model1.pdf; https://eprints.ums.edu.my/id/eprint/30470/; https://drive.google.com/file/d/1HebSBuFoRfqlyOgcZh3FhJHrJqCKWZLC/view

In this study, we examined the usage of the Gaussian air dispersion model to visualise point source pollutant concentration levels and implemented it in MASPLUME, a newly developed computer software which functioned as an estimation tool application for measuring the concentration level (at ground zero) of a selected pollutant dispersed from a single point source. The identified pollutants were carbon monoxide, nitrogen dioxide, and sulphur dioxide. MASPLUME was able to show a two-dimensional static air pollution dispersion and concentration level, as well as graphical data for different scenario analysis. Although MASPLUME is in its initial development stage as a comprehensive software, it would still be sufficient as a current teaching and learning aid.