Abstract :
Air pollution due to gas-flaring is a major concern in most region of the world. The short and long term effect of the massive air pollution on the life form within the area requires urgent attention because of the health implication. This research examines the impact of air pollutants in oil producing region of Malaysia using remotely sensed satellite data. The satellite data set was obtained from CALIPSO, MODIS and AIRS. A mathematical software (MATLAB) was used to analyse the results. For Sulphur dioxide (SO2), Kemaman had the highest rate of pollution (0.075DU), then Petronas (0.074DU), Kertih (0.067 DU), Port (0.065DU), Rapids (0.052DU), Melaka 1 (0.032DU) respectively. For Carbon dioxide (CO2), Kertih and Petronas was the most polluted with (382.33ppmv), Melaka 1 and Port had (382.27ppmv), Rapid had (382.04ppmv) and Kemaman (381.53ppmv) respectively. For Nitrogen dioxide (NO2), Petronas had the highest mean value with (311.18mol/cm2), Melaka 1 (243.4mol/cm2), Port (201.5mol/cm2), Rapids (183.3mol/cm2), Kertih (117.73mol/cm2), Kemaman (95.7mol/cm2) respectively. For Ozone (O3), the stations with the highest rate of concentration were Rapids, Melaka 1, Petronas, Kertih and Kemaman with (252.43E+2mol/cm2). Mathematical projections were made to capture the dilemma-people in this region might encounter in the nearest future.
Keywords :
"Mathematical model","Dispersion","Gases","Satellites","Analytical models","Atmospheric modeling","Tuning"