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Vol. 189, Issue 6, June 2015, pp. 157-161




Improved Performance in Soil Resistivity Measurement
through Nonlinear Data Fitting

2* T. Islam and 1 Z. Chik

1 Department of Civil and Structural Engineering Faculty of Engineering & Built Environment, Universiti Kebangsaan Malaysia 43600 Bangi, Selangor, Malaysia
2 Department of Electrical and Electronics Engineering, Faculty of Computer Science and Engineering, PSTU, Bangladesh
* Tel.: +8801719018370, fax: +60(3) 8921 6147

E-mail: staohidul@yahoo.com


Received: 21 May 2015 /Accepted: 22 June 2015 /Published: 30 June 2015

Digital Sensors and Sensor Sysstems


Abstract: This paper shows the improved performance in measurement of near surface soil resistivity through nonlinear data fitting criteria. The soil electric sensors use apparent resistivity to get near surface soil properties and profiles through in field investigations. To estimate the near surface soil characteristics based on soil apparent resistivity is erroneous because of the empirical relationship between probe distances and depth of soil profile. Iteration of data fitting is used until determination of coefficient, R2 becomes to be 1 or nearby 1. The performance of obtaining reliable soil apparent resistivity is shown through the experiment with Matlab 2009. The nobility of our research is to obtain reliable soil characteristics for a wide range of applications in geotechnical investigations.


Keywords: Electrical conductivity, Soil resistivity, Noise reduction, Data fitting.


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