Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values

Z. A.M. Hazreek, S. Rosli, A. Fauziah, D. C. Wijeyesekera, M. I.M. Ashraf, T. B.M. Faizal, A. F. Kamarudin, Y. Rais, M. F. Md Dan, A. T.S. Azhar, Mohd Hafiz Zawawi

Research output: Contribution to journalConference article

Abstract

The efficiency of civil engineering structure require comprehensive geotechnical data obtained from site investigation. In the past, conventional site investigation was heavily related to drilling techniques thus suffer from several limitations such as time consuming, expensive and limited data collection. Consequently, this study presents determination of soil moisture content using laboratory experimental and field electrical resistivity values (ERV). Field and laboratory electrical resistivity (ER) test were performed using ABEM SAS4000 and Nilsson400 soil resistance meter. Soil sample used for resistivity test was tested for characterization test specifically on particle size distribution and moisture content test according to BS1377 (1990). Field ER data was processed using RES2DINV software while laboratory ER data was analyzed using SPSS and Excel software. Correlation of ERV and moisture content shows some medium relationship due to its r = 0.506. Moreover, coefficient of determination, R2 analyzed has demonstrate that the statistical correlation obtain was very good due to its R2 value of 0.9382. In order to determine soil moisture content based on statistical correlation (w = 110.68ρ-0.347), correction factor, C was established through laboratory and field ERV given as 19.27. Finally, this study has shown that soil basic geotechnical properties with particular reference to water content was applicably determined using integration of laboratory and field ERV data analysis thus able to compliment conventional approach due to its economic, fast and wider data coverage.

Original languageEnglish
Article number012074
JournalJournal of Physics: Conference Series
Volume995
Issue number1
DOIs
Publication statusPublished - 11 Apr 2018
EventInternational Seminar on Mathematics and Physics in Sciences and Technology 2017, ISMAP 2017 - Batu Pahat, Malaysia
Duration: 28 Oct 201729 Oct 2017

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soil moisture
moisture content
electrical resistivity
statistical correlation
soils
computer programs
particle size distribution
drilling
economics
engineering
coefficients

All Science Journal Classification (ASJC) codes

  • Physics and Astronomy(all)

Cite this

Hazreek, Z. A.M. ; Rosli, S. ; Fauziah, A. ; Wijeyesekera, D. C. ; Ashraf, M. I.M. ; Faizal, T. B.M. ; Kamarudin, A. F. ; Rais, Y. ; Md Dan, M. F. ; Azhar, A. T.S. ; Zawawi, Mohd Hafiz. / Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values. In: Journal of Physics: Conference Series. 2018 ; Vol. 995, No. 1.
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abstract = "The efficiency of civil engineering structure require comprehensive geotechnical data obtained from site investigation. In the past, conventional site investigation was heavily related to drilling techniques thus suffer from several limitations such as time consuming, expensive and limited data collection. Consequently, this study presents determination of soil moisture content using laboratory experimental and field electrical resistivity values (ERV). Field and laboratory electrical resistivity (ER) test were performed using ABEM SAS4000 and Nilsson400 soil resistance meter. Soil sample used for resistivity test was tested for characterization test specifically on particle size distribution and moisture content test according to BS1377 (1990). Field ER data was processed using RES2DINV software while laboratory ER data was analyzed using SPSS and Excel software. Correlation of ERV and moisture content shows some medium relationship due to its r = 0.506. Moreover, coefficient of determination, R2 analyzed has demonstrate that the statistical correlation obtain was very good due to its R2 value of 0.9382. In order to determine soil moisture content based on statistical correlation (w = 110.68ρ-0.347), correction factor, C was established through laboratory and field ERV given as 19.27. Finally, this study has shown that soil basic geotechnical properties with particular reference to water content was applicably determined using integration of laboratory and field ERV data analysis thus able to compliment conventional approach due to its economic, fast and wider data coverage.",
author = "Hazreek, {Z. A.M.} and S. Rosli and A. Fauziah and Wijeyesekera, {D. C.} and Ashraf, {M. I.M.} and Faizal, {T. B.M.} and Kamarudin, {A. F.} and Y. Rais and {Md Dan}, {M. F.} and Azhar, {A. T.S.} and Zawawi, {Mohd Hafiz}",
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Hazreek, ZAM, Rosli, S, Fauziah, A, Wijeyesekera, DC, Ashraf, MIM, Faizal, TBM, Kamarudin, AF, Rais, Y, Md Dan, MF, Azhar, ATS & Zawawi, MH 2018, 'Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values', Journal of Physics: Conference Series, vol. 995, no. 1, 012074. https://doi.org/10.1088/1742-6596/995/1/012074

Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values. / Hazreek, Z. A.M.; Rosli, S.; Fauziah, A.; Wijeyesekera, D. C.; Ashraf, M. I.M.; Faizal, T. B.M.; Kamarudin, A. F.; Rais, Y.; Md Dan, M. F.; Azhar, A. T.S.; Zawawi, Mohd Hafiz.

In: Journal of Physics: Conference Series, Vol. 995, No. 1, 012074, 11.04.2018.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Determination of Soil Moisture Content using Laboratory Experimental and Field Electrical Resistivity Values

AU - Hazreek, Z. A.M.

AU - Rosli, S.

AU - Fauziah, A.

AU - Wijeyesekera, D. C.

AU - Ashraf, M. I.M.

AU - Faizal, T. B.M.

AU - Kamarudin, A. F.

AU - Rais, Y.

AU - Md Dan, M. F.

AU - Azhar, A. T.S.

AU - Zawawi, Mohd Hafiz

PY - 2018/4/11

Y1 - 2018/4/11

N2 - The efficiency of civil engineering structure require comprehensive geotechnical data obtained from site investigation. In the past, conventional site investigation was heavily related to drilling techniques thus suffer from several limitations such as time consuming, expensive and limited data collection. Consequently, this study presents determination of soil moisture content using laboratory experimental and field electrical resistivity values (ERV). Field and laboratory electrical resistivity (ER) test were performed using ABEM SAS4000 and Nilsson400 soil resistance meter. Soil sample used for resistivity test was tested for characterization test specifically on particle size distribution and moisture content test according to BS1377 (1990). Field ER data was processed using RES2DINV software while laboratory ER data was analyzed using SPSS and Excel software. Correlation of ERV and moisture content shows some medium relationship due to its r = 0.506. Moreover, coefficient of determination, R2 analyzed has demonstrate that the statistical correlation obtain was very good due to its R2 value of 0.9382. In order to determine soil moisture content based on statistical correlation (w = 110.68ρ-0.347), correction factor, C was established through laboratory and field ERV given as 19.27. Finally, this study has shown that soil basic geotechnical properties with particular reference to water content was applicably determined using integration of laboratory and field ERV data analysis thus able to compliment conventional approach due to its economic, fast and wider data coverage.

AB - The efficiency of civil engineering structure require comprehensive geotechnical data obtained from site investigation. In the past, conventional site investigation was heavily related to drilling techniques thus suffer from several limitations such as time consuming, expensive and limited data collection. Consequently, this study presents determination of soil moisture content using laboratory experimental and field electrical resistivity values (ERV). Field and laboratory electrical resistivity (ER) test were performed using ABEM SAS4000 and Nilsson400 soil resistance meter. Soil sample used for resistivity test was tested for characterization test specifically on particle size distribution and moisture content test according to BS1377 (1990). Field ER data was processed using RES2DINV software while laboratory ER data was analyzed using SPSS and Excel software. Correlation of ERV and moisture content shows some medium relationship due to its r = 0.506. Moreover, coefficient of determination, R2 analyzed has demonstrate that the statistical correlation obtain was very good due to its R2 value of 0.9382. In order to determine soil moisture content based on statistical correlation (w = 110.68ρ-0.347), correction factor, C was established through laboratory and field ERV given as 19.27. Finally, this study has shown that soil basic geotechnical properties with particular reference to water content was applicably determined using integration of laboratory and field ERV data analysis thus able to compliment conventional approach due to its economic, fast and wider data coverage.

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