Cargando…

Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data

This study analysed aeromagnetic and satellite imagery data over parts of northern Nigeria to delineate magnetic and surface lineaments associated with fault system trends. The aeromagnetic data were analysed using the Fast Fourier transform technique for reduction-to-equator, total horizontal deriv...

Descripción completa

Detalles Bibliográficos
Autores principales: Arogundade, A.B., Awoyemi, M.O., Hammed, O.S., Falade, S.C., Ajama, O.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917291/
https://www.ncbi.nlm.nih.gov/pubmed/35287325
http://dx.doi.org/10.1016/j.heliyon.2022.e09055
_version_ 1784668517232017408
author Arogundade, A.B.
Awoyemi, M.O.
Hammed, O.S.
Falade, S.C.
Ajama, O.D.
author_facet Arogundade, A.B.
Awoyemi, M.O.
Hammed, O.S.
Falade, S.C.
Ajama, O.D.
author_sort Arogundade, A.B.
collection PubMed
description This study analysed aeromagnetic and satellite imagery data over parts of northern Nigeria to delineate magnetic and surface lineaments associated with fault system trends. The aeromagnetic data were analysed using the Fast Fourier transform technique for reduction-to-equator, total horizontal derivative, analytic signal amplitude and Euler deconvolution. Landsat-8 OLI and SRTM data have been enhanced using spatial filtering and hill-shading techniques for the delineation of lineament features. The extracted surface lineaments are denser on the satellite imageries than on the HRAD because the datasets respond to different physical properties of the geological units and features. The location and orientation of the Zungeru/Kalangai fault zone, which extends about 245 km from the Bida Basin Basement to the northern part of Nigeria, correlate with the existing fault on the published geological map and form a conjugate pair with a fault around Kaya. The derived maps revealed the presence of several previously undetected geological lineaments corresponding to faults and folded dyke, striking predominantly N–S, NNE-SSW, NE-SW and NW-SE lacking in previous geological maps. The application of 2D forward modelling revealed the 2D image of the nature of the subsurface, magnetic susceptibilities of rocks and the block boundaries coinciding with the geological lineaments.
format Online
Article
Text
id pubmed-8917291
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-89172912022-03-13 Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data Arogundade, A.B. Awoyemi, M.O. Hammed, O.S. Falade, S.C. Ajama, O.D. Heliyon Research Article This study analysed aeromagnetic and satellite imagery data over parts of northern Nigeria to delineate magnetic and surface lineaments associated with fault system trends. The aeromagnetic data were analysed using the Fast Fourier transform technique for reduction-to-equator, total horizontal derivative, analytic signal amplitude and Euler deconvolution. Landsat-8 OLI and SRTM data have been enhanced using spatial filtering and hill-shading techniques for the delineation of lineament features. The extracted surface lineaments are denser on the satellite imageries than on the HRAD because the datasets respond to different physical properties of the geological units and features. The location and orientation of the Zungeru/Kalangai fault zone, which extends about 245 km from the Bida Basin Basement to the northern part of Nigeria, correlate with the existing fault on the published geological map and form a conjugate pair with a fault around Kaya. The derived maps revealed the presence of several previously undetected geological lineaments corresponding to faults and folded dyke, striking predominantly N–S, NNE-SSW, NE-SW and NW-SE lacking in previous geological maps. The application of 2D forward modelling revealed the 2D image of the nature of the subsurface, magnetic susceptibilities of rocks and the block boundaries coinciding with the geological lineaments. Elsevier 2022-03-05 /pmc/articles/PMC8917291/ /pubmed/35287325 http://dx.doi.org/10.1016/j.heliyon.2022.e09055 Text en © 2022 The Authors. Published by Elsevier Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Research Article
Arogundade, A.B.
Awoyemi, M.O.
Hammed, O.S.
Falade, S.C.
Ajama, O.D.
Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title_full Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title_fullStr Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title_full_unstemmed Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title_short Structural investigation of Zungeru-Kalangai fault zone and its environ, Nigeria using aeromagnetic and remote sensing data
title_sort structural investigation of zungeru-kalangai fault zone and its environ, nigeria using aeromagnetic and remote sensing data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8917291/
https://www.ncbi.nlm.nih.gov/pubmed/35287325
http://dx.doi.org/10.1016/j.heliyon.2022.e09055
work_keys_str_mv AT arogundadeab structuralinvestigationofzungerukalangaifaultzoneanditsenvironnigeriausingaeromagneticandremotesensingdata
AT awoyemimo structuralinvestigationofzungerukalangaifaultzoneanditsenvironnigeriausingaeromagneticandremotesensingdata
AT hammedos structuralinvestigationofzungerukalangaifaultzoneanditsenvironnigeriausingaeromagneticandremotesensingdata
AT faladesc structuralinvestigationofzungerukalangaifaultzoneanditsenvironnigeriausingaeromagneticandremotesensingdata
AT ajamaod structuralinvestigationofzungerukalangaifaultzoneanditsenvironnigeriausingaeromagneticandremotesensingdata