Relationship between aerosol optical depth and particulate matter [PM2.5] using MODIS satellite image / Nurul Anisa Muhamad Adzhar

Cloud and aerosol uncertainty continue to provide a challenge to estimates and explanations of the Earth's dynamic energy budget. In this study, satellite images and PM 2.5 data from air quality monitoring stations in Peninsular Malaysia were conducted to evaluate the relationship between Aerosol Optical Depth and Particulate Matter (PM 2.5). To evaluate PM variability in 2019, data from 47 air quality ground-based stations on monthly mean particulate matter (PM2.5) concentrations were analyzed. This study aimed to investigate the relationship between concentrations of PM2.5 and aerosol optical depth (AOD) using the tabular data of PM2.5 acquired from the Environment Statistic and being overlaid with the MODIS satellite image. A correlation test was performed using ArcGIS software using Inverse Distance Weighting (IDW) technique. Then, by using the Air Pollution Index data and the value of Aerosol Optical Depth, this study identifies the values that influence the cloud seeding by studying the relationship between PM2.5 and AOD using MODIS satellite image. The results showed that among the areas, Selangor is the areas that had the highest PM 2.5 and AOD levels. The PM 2.5 concentration was high during the period of cloud seeding missions which in September. This study showed that the release of silver iodine crystals during the missions may have increased the concentration of PM in the air. This work can benefit the future of cloud seeding in Malaysia as well as the Aerosol field of study to progress it.