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Erschienen in: Sustainable Water Resources Management 2/2023

01.04.2023 | Original Article

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

verfasst von: Hussain Olanrewaju Abubakar, Omoniyi Olusegun Ige, Saminu Olatunji, Kenneth Obinna Iheme

Erschienen in: Sustainable Water Resources Management | Ausgabe 2/2023

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Abstract

Groundwater 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.

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Metadaten
Titel
Characterizing groundwater potentials in parts of the basement complex of Nigeria using GIS and remote sensing
verfasst von
Hussain Olanrewaju Abubakar
Omoniyi Olusegun Ige
Saminu Olatunji
Kenneth Obinna Iheme
Publikationsdatum
01.04.2023
Verlag
Springer International Publishing
Erschienen in
Sustainable Water Resources Management / Ausgabe 2/2023
Print ISSN: 2363-5037
Elektronische ISSN: 2363-5045
DOI
https://doi.org/10.1007/s40899-023-00826-1

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