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<p>Developing sustainable smart cities requires a detailed understanding of subsurface conditions to guide infrastructure planning and mitigate construction risks. This study applies high-resolution aeromagnetic mapping for rapid subsurface investigation within Kwara State University, Malete, to enhance data-driven decision-making for smart city development. Aeromagnetic datasets were processed using several techniques, including Total Magnetic Intensity (TMI), Reduction-to-Equator (RTE), and Regional-Residual separation. Additional filters such as vertical derivatives, tilt derivative, analytical signal, upward continuation, and Euler Deconvolution were also applied to delineate subsurface structures. The interpretation of the maps revealed significant southwest-northeast trending fracture zones that are identified as weak zones and potential groundwater-bearing structures, while high magnetic signatures in the northwest area of the study area, toward the northern part, show higher magnetic subsurface geologic structures critical for foundation stability for heavy infrastructures for projects like Smart City development. Deeper and more stable basement zones were delineated in the northern, northwestern, and parts of the eastern study area, which makes these areas suitable for heavy infrastructure, while structurally complex and shallower zones in the centre and southwest require careful geotechnical assessment. This study emphasises the importance of integrating geophysical subsurface investigations into infrastructural planning to ensure sustainable, resilient and efficient smart city development within university environments and similar regions.</p>

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High-resolution aeromagnetic mapping for subsurface investigation to support smart city infrastructure planning at Kwara State University, Malete

  • 期刊论文

  • 发表日期：

    2025年7月22日

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  • Abdulmujeeb Oluwafemi Oluyemoh,
  • Gabriel Efomeh Omolaiye,
  • Jimoh Ajadi,
  • Sodiq Bamidele Adam

摘要

Developing sustainable smart cities requires a detailed understanding of subsurface conditions to guide infrastructure planning and mitigate construction risks. This study applies high-resolution aeromagnetic mapping for rapid subsurface investigation within Kwara State University, Malete, to enhance data-driven decision-making for smart city development. Aeromagnetic datasets were processed using several techniques, including Total Magnetic Intensity (TMI), Reduction-to-Equator (RTE), and Regional-Residual separation. Additional filters such as vertical derivatives, tilt derivative, analytical signal, upward continuation, and Euler Deconvolution were also applied to delineate subsurface structures. The interpretation of the maps revealed significant southwest-northeast trending fracture zones that are identified as weak zones and potential groundwater-bearing structures, while high magnetic signatures in the northwest area of the study area, toward the northern part, show higher magnetic subsurface geologic structures critical for foundation stability for heavy infrastructures for projects like Smart City development. Deeper and more stable basement zones were delineated in the northern, northwestern, and parts of the eastern study area, which makes these areas suitable for heavy infrastructure, while structurally complex and shallower zones in the centre and southwest require careful geotechnical assessment. This study emphasises the importance of integrating geophysical subsurface investigations into infrastructural planning to ensure sustainable, resilient and efficient smart city development within university environments and similar regions.