Characterization and dynamic modeling of aerosols using atmospheric remote sensing techniques in Niger Delta, Nigeria
| dc.contributor.author | Chukwudobe, Leo Odimbu | |
| dc.date.accessioned | 2026-03-21T15:34:34Z | |
| dc.date.available | 2026-03-21T15:34:34Z | |
| dc.date.issued | 2021-06 | |
| dc.description | This thesis is for the award of Master of Science (M.Sc.) in Geophysics | |
| dc.description.abstract | Atmospheric aerosols; CO, CH4, SO2, and NO2 over the study area were retrieved using remote sensing from the Ozone Monitoring Instrument (OMI) and the Atmospheric Infrared Sounders (AIRS) over two years. The gas trajectories were performed using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model at heights: 0, 50m, and 100m above the ground level. Detailed characterization and dynamic modeling were later processed using Giovanni software and analyzed graphically using time series interpretation and statistically using a Z-test. The study revealed that CH concentration in Oguta, Warri, and Akpabuyo outweighs the value in Port Harcourt by 30.7%, 24.9%, and 29.2%, respectively, while the volume occurrence in Port Harcourt outweighs that of Eket by 3.13%. On a temporal scale, the variations in the emission of the gases are insignificant except for Port Harcourt and Eket where the Z-test calculation was 1.76 and 1.8 at a critical value of 1.96 and a P-value of 0.05. This certainly suggests an increasing value of SO2 in Port Harcourt and Eket by 10.8% and 11.6%. From the results, it can be concluded that CH and CO are the most abundant gases in the Niger Delta while the emissions of NO and SO in all the study locations are insignificant. It is therefore recommended that appropriate environmental legislation and measures for mitigation and reduction of atmospheric emission should be formulated in the study area for environmental sustainability. | |
| dc.identifier.citation | Chukwudobe, L. O. (2021). Characterization and dynamic modeling of aerosols using atmospheric remote sensing techniques in Niger Delta, Nigeria [Unpublished Master's Thesis]. Federal University of Technology, Owerri, Nigeria | |
| dc.identifier.uri | https://repository.futo.edu.ng/handle/20.500.14562/2433 | |
| dc.language.iso | en | |
| dc.publisher | Federal University of Technology, Owerri | |
| dc.rights | Attribution-NonCommercial-ShareAlike 4.0 International | en |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/4.0/ | |
| dc.subject | Atmospheric aerosols | |
| dc.subject | Ozone monitoring instrument | |
| dc.subject | atmospheric infrared sounders | |
| dc.subject | Z-test | |
| dc.subject | emission | |
| dc.subject | Department of Geology | |
| dc.title | Characterization and dynamic modeling of aerosols using atmospheric remote sensing techniques in Niger Delta, Nigeria | |
| dc.type | Master’s Thesis |