TITLE:
Structural Mapping of Kakobola and Its Surroundings by Analyzing Geomagnetic Data
AUTHORS:
Jonathan Musitu Muliwavyo, Albert Mbata Muliwavyo, Lumière Musitu, Jean-Marie Tshitenge Mbuebue, Clément N’Zau Umba-Di-Mbudi
KEYWORDS:
Magnetic Anomalies, HGM, TAHG, Lineaments, Shallow Structures
JOURNAL NAME:
Journal of Geoscience and Environment Protection,
Vol.11 No.9,
September
14,
2023
ABSTRACT: This
study focuses on the Kakobola region and its surroundings where cavities
discovered in its basement may represent a major risk for the hydroelectric dam
erected on the Lufuku
River near the Kakobola city and the civil engineering works in the study area.
In order to deepen the studies related to this understudied region and provide
decision-makers with information that will enable them to make the necessary
and appropriate decisions regarding the
development of this area, a study based on the analysis of geomagnetic data was carried out using certain methods revealing more shallow than deep
structures, and others highlighting the limits of both shallower and deeper
structures. Total magnetic anomalies and reduced to equator (RTE) magnetic
anomalies were used to map the subsurface of the Kakobola region and its
surroundings. In order to detect the edges of magnetized structures, the
horizontal gradient magnitude (HGM), the analytic signal (AS), the horizontal
gradient of tilt angle (HGTA), the tilt angle (TA), the theta map (TM), the
enhanced total horizontal derivative of the tilt angle (ETHDR), the tilt angle of the horizontal gradient (TAHG), and the tilt angle of analytic signal (TAAS) were used. The study area is characterized by two areas of low
values of magnetic anomalies and two other sources of high magnetic anomalies
located in the bed and the neighborhood of
the two major rivers in the region. The shallow sources of magnetic
anomalies are lying in the bed and the vicinity of the same rivers in the study area. The magnetic sources in the study area
are connected and almost linear. Several magnetic lineaments identified
in this region by different methods present several preferential directions, but
the most predominant directions are NE-SW, NW-SE, W-E and
NE-SW.