Improved Performance in Soil Resistivity Measurement through Nonlinear Data Fitting
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 c...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IFSA Publishing, S.L.
2015-06-01
|
| Series: | Sensors & Transducers |
| Subjects: | |
| Online Access: | http://www.sensorsportal.com/HTML/DIGEST/june_2015/Vol_189/P_2684.pdf |
| Summary: | 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.
|
|---|---|
| ISSN: | 2306-8515 1726-5479 |