Structural Analysis of High Resolution Aeromagnetic Data. A Case Study of Akko and Environs, Gongola Basin upper Benue Trough Northeastern Nigeria: Implication for Mineralization and Groundwater Potentials

R. Bello

Geophysics Research Group, Department of Physics, Federal University Kashere, Gombe, Gombe State, Nigeria.

H. Musa *

Geophysics Research Group, Department of Physics, Federal University Kashere, Gombe, Gombe State, Nigeria.

H. A. Kuforiji

Department of Physics, Federal University of Agriculture Abeokuta, Abeokuta Ogun State, Nigeria.

I. T.Obidah

Department of Physics, Federal University of Agriculture Abeokuta, Abeokuta Ogun State, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

Magnetic method had proved very effective in the area of subsurface anomaly studies and structural delineation worldwide.  Sheet number 151(Akko sheet) of the high resolution digital airborne magnetic data was obtained from the Nigerian Geological Survey Agency (NGSA). Analysis of the data was done using first horizontal and first vertical filters while the residual field was obtained using the polynomial fitting method. Lineaments of the study area were generated from SRTM (shuttle radar thematic mapper) and DEM (digital elevation model) by producing four shaded relief images at solar altitude of 45˚, 50˚, 60˚ and 90˚. The first horizontal and first vertical derivative filters exhibited magnetic trend consistent with the lineament trend of the study area, which showed major trends in NE-SW and NNW-SSE direction and minor trends along NW-SE.

Keywords: Airborne magnetic data, Akko, horizontal derivatives, lineament, vertical derivatives


How to Cite

Bello, R., H. Musa, H. A. Kuforiji, and I. T.Obidah. 2022. “Structural Analysis of High Resolution Aeromagnetic Data. A Case Study of Akko and Environs, Gongola Basin Upper Benue Trough Northeastern Nigeria: Implication for Mineralization and Groundwater Potentials”. Journal of Geography, Environment and Earth Science International 26 (1):50-57. https://doi.org/10.9734/jgeesi/2022/v26i130332.

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