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Home / Journals / Earth Sciences / Near Surface Geophysical Imaging
Near Surface Geophysical Imaging
Lead Guest Editor:
Mahmoud Elhussein
Cairo University, Cairo, Egypt
Near surface geophysical data include many techniques, such as: potential field data (Gravity, Magneic and self-potential data), Electrical resistivity, Seismic refraction and Ground Penetrating Radar (GPR); these techniques are applicable in many disciplines for example: ores and mineral exploration, archeology, hydrology, hydrocarbon exploration and geothermal activity. There are numerous methods for interpreting these data; this issue will cover some of these methods. It will cover new interpretation techniques in different disciplines; applying new algorithms for solving inverse geophysical problems using different geophysical data (potential field data, seismic, electric, etc.). inversion of geophysical data includes the estimation of model parameters such as location and dip angle. For new algorithms, the methods should be applied to theoretical and field data to show the applicability and accuracy of these algorithms. There must be an integration between more than one geophysical technique or available geological data in case of mineral exploration, hydrocarbon exploration, ground water exploration, or archeological investigation in a new area. There will be different articles in this issue which represent the effectiveness of different geophysical tools in the different disciplines. Each method will be illustrated according to it’s accuracy, limitations and priori information needed for its effectiveness, also the effect of background noise will be discussed on each technique.

Aims and Scope:

  1. New approaches for interpreting potential field data.
  2. Solving inverse problem using new techniques.
  3. Applying geophysical techniques in environmental investigations.
  4. Using geophysics in mineral exploration.
  5. The effectiveness and accuracy of each geophysical technique in reaching the target
  6. The priori information which are needed for each geophysical technique to be effective
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