The Influence of Soil Moisture Content and Grain Size Characteristics on its Field Electrical Resistivity

 

Mohd Hazreek Bin Zainal Abidin

Lecturer, Department of Infrastructure and Geomatic Engineering, Faculty of Civil and Environmental Engineering, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia; Postgraduate Student, Geophysics Section, School of Physics, Universiti Sains Malaysia,

Devapriya Chitral Wijeyesekera

Professor, Research Center for Soft Soil, Universiti Tun Hussein Onn Malaysia, Johor, Malaysia; Formerly Professor, School of Architecture, Computing and Engineering, University of East London, Beckton London, England;
e-mail: devapriya@uthm.edu.my

Rosli Saad

Senior Lecturer (Dr.), Geophysics Section, School of Physics, Universiti Sains Malaysia, Penang, Malaysia; e-mail: rosli@usm.my

Fauziah Ahmad

Professor, School of Civil Engineering, Universiti Sains Malaysia, Penang, Malaysia; e-mail: cefauziah@usm.eng.my

 

 ABSTRACT

to a variety of reasons. In the past, ERM was popularly used in engineering, environmental and archaeological purposes. Its reliability depended entirely on the expert interpretation skills of a geophysicist. However, by virtue of the indirectness in measurement, ERM data must needs be strongly verified during the interpretation stage in order to produce results that are sufficiently reliable for use by geotechnical engineer in design and construction stages. Hence, this study presents such a demonstration of the influence of soil moisture content and grain size characteristics to field resistivity data as much desired for ERM verification. 2D ERM was performed using a set of ABEM (SAS) 4000 based on pole-dipole array. Three soil samples from locations lying along a survey line were collected immediately for moisture content and particle size distribution test according to BS 1377 (1990). Laboratory geotechnical tests strongly indicated that the electrical resistivity data can varied with the moisture content and grain size character. Soil electrical resistivity values decreased with increasing moisture content and fines content. The correlations established between the above parameters in this study, help to strongly ratify the field ERM data and thus contribute to a meaningful ERM interpretation.

Keywords: Electrical resistivity; Moisture content; Grain Size; Field resistivity data; Geotechnical data

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