Visualising urban air quality using aermod, calpuff and CFD models: A critical review

• Main Authors: Ridzuan, N., Ujang, U., Azri, S., Choon, T. L.
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: G Geography (General)
• Online Access: http://eprints.utm.my/id/eprint/92346/1/TanLiatChoon2020_VisualisingUrbanAirQualityUsingAermodCalpuffAndCFD.pdf; http://eprints.utm.my/id/eprint/92346/; http://dx.doi.org/10.5194/isprs-archives-XLIV-4-W3-2020-355-2020

Degradation of air quality level can affect human's health especially respiratory and circulatory system. This is because the harmful particles will penetrate into human's body through exposure to surrounding. The existence of air pollution event is one of the causes for air quality to be low in affected urban area. To monitor this event, a proper management of urban air quality is required to solve and reduce the impact on human and environment. One of the ways to manage urban air quality is by modelling ambient air pollutants. So, this paper reviews three modelling tools which are AERMOD, CALPUFF and CFD in order to visualise the air pollutants in urban area. These three tools have its own capability in modelling the air quality. AERMOD is better to be used in short range dispersion model while CALPUFF is for wide range of dispersion model. Somehow, it is different for CFD model as this model can be used in wide range of application such as air ventilation in clothing and not specifically for air quality modelling only. Because of this, AERMOD and CALPUFF model can be classified in air quality modelling tools group whereas CFD modelling tool is classified into different group namely a non-specific modelling tool group which can be implemented in many fields of study. Earlier air quality researches produced results in two-dimensional (2D) visualization. But there are several of disadvantages for this technique. It cannot provide height information and exact location of pollutants in three-dimensional (3D) as perceived in real world. Moreover, it cannot show a good representation of wind movement throughout the study area. To overcome this problem, the 3D visualization needs to be implemented in the urban air quality study. Thus, this paper intended to give a better understanding on modeling tools with the visualization technique used for the result of performed research.