Next Article in Journal
Flood Risk Assessment in Urban Areas Based on Spatial Analytics and Social Factors
Previous Article in Journal
Overtopping of Coastal Structures by Tsunami Waves
Article Menu

Export Article

Open AccessArticle
Geosciences 2017, 7(4), 122; doi:10.3390/geosciences7040122

Investigation of Hydrogeological Structures of Paiko Region, North-Central Nigeria Using Integrated Geophysical and Remote Sensing Techniques

1
Department of Geology, School of Physical Sciences, Federal University of Technology, Minna 920211, Niger State, Nigeria
2
Department of Geophysics, Faculty of Physical Science, University of Ilorin, Ilorin 240103, Kwara State, Nigeria
3
West African Centre for Climate Change and Adapted Landuse (WASCAL), Federal University of Technology, Minna 920211, Niger State, Nigeria
4
Department of Chemical and Geological Sciences, Al-Hikimah University, Ilorin 240103, Kwara State, Nigeria
*
Author to whom correspondence should be addressed.
Received: 29 September 2017 / Revised: 8 November 2017 / Accepted: 21 November 2017 / Published: 24 November 2017
View Full-Text   |   Download PDF [11171 KB, uploaded 24 November 2017]   |  

Abstract

Aeromagnetic data coupled with Landsat ETM+ data and SRTM DEM have been processed in order to map regional hydrogeological structures in the basement complex region of Paiko, North Central Nigeria. Lineaments were extracted from derivative maps of aeromagnetic, Landsat ETM+ and SRTM DEM datasets. Ground geophysical investigation utilizing Radial Vertical Electrical Sounding (RVES) was established in nine transects comprised of four sounding stations which are oriented in three azimuths. Source Parameter Imaging (SPI) was employed to map average depths of structures from aeromagnetic dataset. Selected thematic layers which included lineaments density, lithologic structure, slope, drainage density and geomorphologic maps were integrated and modeled using ArcGIS to generate a groundwater potential map of the area. Groundwater zones were classified into four categories: Very good, good, moderate and poor according to their potential to yield sustainable water to drilled wells. The results from RVES survey reveal a close correlation to lineaments delineated from surface structural mapping and remotely sensed datasets. Hydrogeological significance of these orientations suggest that aeromagnetic data can be used to map relatively deep-seated fractures which are likely to be open groundwater conduits while remotely sensed lineaments and orientations delineated from the RVES survey may indicate areas of recharge. Regions with high lineament density attributable to thick regolith and highly fractured basement have better groundwater potential. Drill depths in this area should target a minimum of 80 m to ensure sufficient and sustainable supplies to drilled wells. The outcome of this study would act as information framework that would guide the siting of productive water wells while providing needed information for relevant agencies in need of data for the development of groundwater resources. View Full-Text
Keywords: groundwater; hydrogeological structures; remote sensing; aeromagnetic survey; lineaments; Radial Vertical Electrical Sounding groundwater; hydrogeological structures; remote sensing; aeromagnetic survey; lineaments; Radial Vertical Electrical Sounding
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Ejepu, J.S.; Olasehinde, P.; Okhimamhe, A.A.; Okunlola, I. Investigation of Hydrogeological Structures of Paiko Region, North-Central Nigeria Using Integrated Geophysical and Remote Sensing Techniques. Geosciences 2017, 7, 122.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Geosciences EISSN 2076-3263 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top