Characterizing groundwater potentials in parts of the basement complex of Nigeria using GIS and remote sensing

dc.contributor.authorAbubakar, Hussain Olanrewaju
dc.contributor.authorIge, Omoniyi Olusegun
dc.contributor.authorOlatunji, Saminu
dc.contributor.authorIheme, Kenneth Obinna
dc.date.accessioned2023-04-28T14:49:02Z
dc.date.available2023-04-28T14:49:02Z
dc.date.issued2023
dc.description.abstractGroundwater prospect in parts of southwestern Nigeria was delineated by inferring the subsurface models from the responses of remote sensing and GIS data. In characterizing the area, both primary and secondary data were used. The primary data include landsat8 OLI and ASTER Digital Elevation Model, while the secondary data includes geology, soil, and topography maps of the area. Hence, thematic maps of potentials and lineament density, and land cover/use maps for the area were derived from the landsat8 OLI/TRS image. Thus, the area was characterized as follows: very low, low, moderate, high, and very high potentiality that covered 1.4 km2 (0.59%), 72.18 km2 (9.59%), 372.3 km2 (49.44%), 272.12 km2 (36.14%), and 35 km2 (4.64%), respectively. The western part of the area is dominated by very low to low potential, while the southern part of the area is dominated by high to very high potential. Hence, low and moderate potentials occupy the highest landmass (59.03%) in the area. In conclusion, the basement complex terrain in question has a moderately low aquifer capability.en_US
dc.identifier.urihttps://uilspace.unilorin.edu.ng/handle/20.500.12484/9331
dc.language.isoenen_US
dc.publisherSpringer Nature Switzerlanden_US
dc.subjectGroundwater · Landsat 8 · Characterization · Model · Lineamenten_US
dc.titleCharacterizing groundwater potentials in parts of the basement complex of Nigeria using GIS and remote sensingen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Abubakar etal 2023.pdf
Size:
3.71 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:

Collections