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Gunnink, J. L., Bosch, J. H. A., Siemon, B., Roth, B., & Auken, E. (2012). Combining Ground-Based and Airborne EM through Artificial Neural Networks for Modelling Glacial till under Saline Groundwater Conditions. Hydrology and Earth System Sciences, 16, 3062-3309.
https://doi.org/10.5194/hess-16-3061-2012

has been cited by the following article:

• TITLE: Modelling and Inversion of Ground Magnetic and Electromagnetic Data for Delineation of Subsurface Structures at Siloam Hot Spring in the Soutpansberg Basin

  AUTHORS: Peter K. Nyabeze, Oswald Gwavava

  KEYWORDS: Electromagnetic, Hot Spring, Magnetic, Modelling, Susceptibility

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.6 No.11, November 21, 2018

  ABSTRACT: Geophysical surveys utilising magnetic and electromagnetic techniques were carried out at the Siloam hot spring. The spring is in the Soutpansberg Basin in the northern part of South Africa. The research was to investigate groundwater bearing structures at the hot spring. Magnetic survey results showed that the spring occurs between two north dipping dykes. The two dykes could be faulted segments of a single dyke or sill. Magnetic susceptibility results highlighted the presence of metamorphic and volcanic rocks. Electromagnetic survey results showed that the hot spring was within a roughly east to west trending, zone with high electrical conductivity values. Based on the survey results, water is exploiting fractures in the dyke or sill.