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article · Journal of Applied Remote Sensing

Aeromagnetic characterization of structural features influencing fissured aquifers in the Lobo catchment area, Nibéhibé, Central-West, Côte d’Ivoire

In plain language

Aeromagnetic data processing enables the mapping of subsurface fracture networks within the Lobo watershed at Nibéhibé. By applying filtering techniques such as reduction to the equator, directional derivatives, tilt-angle transformations, and upward continuation, magnetic anomalies were sharpened to reveal geological discontinuities. This analysis identified 88 major fractures across the study site. Directional assessments indicate that these structures primarily follow northwest to southeast and northeast to southwest orientations, matching regional tectonic patterns connected to the West African Precambrian basement. The identified fracture systems form an extensive network that controls local groundwater flow. The findings confirm that aeromagnetic processing methods offer an effective approach for subsurface structural mapping and hydrogeological exploration within crystalline basement settings.

Key takeaways

  • Processing aeromagnetic data with advanced filtering techniques successfully identified 88 major subsurface fractures in the Lobo catchment.
  • The detected fracture network is dominated by northwest to southeast and northeast to southwest directional trends.
  • These structural orientations reflect regional tectonic controls linked to the evolution of the West African Precambrian basement.
  • The mapped fracture network plays a direct role in regulating groundwater flow in crystalline basement terrains.

Why it matters

Crystalline basement terrains often hold groundwater in deep fracture networks that are difficult to detect from the surface. By refining airborne magnetic data to reveal hidden fault lines, this work helps pinpoint underground pathways where water gathers and moves, supporting better planning for borehole placement, water resource management, and regional infrastructure in water-stressed geologies.

Commercialisation angle

This approach offers an applied exploration technique for hydrogeologists, water utility operators, and civil engineering firms seeking to identify groundwater targets in crystalline rock. As the research demonstrates an applied and tested methodology using existing software and regional geophysical data, it can immediately inform site selection for borehole drilling programmes and regional hydrological assessments.

AI-generated from the published abstract. Always read the original work before citing.

Abstract

We aim to map fracture networks in the Lobo watershed at Nibéhibé using the interpretation of aeromagnetic data. The methodology involved processing the aeromagnetic dataset with Oasis Montaj software, including preliminary corrections, removal of the International Geomagnetic Reference Field, and interpolation onto a regular grid. To enhance the structural analysis, several filtering techniques were applied, including reduction to the equator, horizontal and vertical derivatives, tilt-angle transformation, and upward continuation. These processing steps enhanced the contrast of magnetic anomalies and improved the delineation of geological discontinuities. Interpretation of the processed maps led to the identification and mapping of 88 major fractures. Directional analysis revealed two dominant fracture trends, NW–SE and NE–SW, reflecting regional tectonic controls associated with the evolution of the West African Precambrian basement. The results highlight a well-developed fracture network that plays a significant role in the structural framework of the watershed and in controlling groundwater flow. Overall, we demonstrate the effectiveness of aeromagnetic data processing techniques for structural mapping and hydrogeological exploration in crystalline basement terrains.

Research topics

  • Geophysical and Geoelectrical Methods
  • Groundwater and Watershed Analysis
  • Geological and Geophysical Studies Worldwide

Read the original research

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DOI: 10.1117/1.jrs.20.034505

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