Publication: Numerical Analysis Of Atmospheric Aerosol Monitoring Using Horizontal Scanning Lidar
| dc.contributor.author | Han, Joseph Ooi Boon | |
| dc.date.accessioned | 2026-04-29T01:44:44Z | |
| dc.date.available | 2026-04-29T01:44:44Z | |
| dc.date.issued | 2025-02 | |
| dc.description.abstract | Air pollution episodes like haze are common in countries exposed to high levels of air pollutants. In malaysia, haze occurs when high concentrations of atmospheric aerosols, especially particulate matter (pm), are produced from local and transboundary sources. Atmospheric aerosols can be monitored using air quality monitoring stations or atmospheric lidars. Lidars can potentially provide better atmospheric aerosol monitoring than air quality monitoring stations due to superior spatio-temporal resolutions and faster detection. However, horizontal scanning lidars in particular have yet to be implemented as aerosol monitoring tools because they are recently introduced. Furthermore, numerical models to establish empirical methods for using horizontal scanning lidars in continuous atmospheric aerosol detection and monitoring are unavailable. This study aims to present numerical analysis of atmospheric aerosol detection using horizontal scanning lidar. By evaluating haze detection models that analyze effects of pm present in haze on horizontal scanning lidar readings, effectiveness of horizontal scanning lidars in atmospheric aerosol monitoring can be assessed without physical units. Numerical assessment via comparative study method is first conducted to evaluate the performance of a hypothetical horizontal scanning lidar using single scattering theory. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/24043 | |
| dc.language.iso | en | |
| dc.subject | Air pollution—Malaysia | |
| dc.title | Numerical Analysis Of Atmospheric Aerosol Monitoring Using Horizontal Scanning Lidar | |
| dc.type | Resource Types::text::thesis::doctoral thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |