Digital Repository

The effects of moisture, cation concentration, temperature, density and composition of soils on their electrical resistivity

DSpace/Manakin Repository

Show simple item record

dc.contributor.author Chaudhry, Mohammad Naveed Hayat. en_US
dc.date.accessioned 2009-07-09T18:49:28Z
dc.date.available 2009-07-09T18:49:28Z
dc.date.issued 1984-07-09T18:49:28Z
dc.identifier.uri http://hdl.handle.net/10464/2131
dc.description.abstract The effects. of moisture, cation concentration, dens ity , temper~ t ure and grai n si ze on the electrical resistivity of so il s are examined using laboratory prepared soils. An i nexpen si ve method for preparing soils of different compositions was developed by mixing various size fractions i n the laboratory. Moisture and cation c oncentration are related to soil resistivity by powe r functions, whereas soil resistiv ity and temperature, density, Yo gravel, sand , sil t, and clay are related by exponential functions . A total of 1066 cases (8528 data) from all the experiments were used in a step-wise multiple linear r egression to determine the effect of each variable on soil resistivity. Six variables out of the eight variables studied account for 92.57/. of the total variance in so il resistivity with a correlation coefficient of 0.96. The other two variables (silt and gravel) did not increase the · variance. Moisture content was found to be - the most important Yo clay. variable- affecting s oil res istivi ty followed by These two variables account for 90.81Yo of the total variance in soil resistivity with a correlation ~oefficient ·.of 0 . 95. Based on these results an equation to ' ~~ed{ ct soil r esist ivi ty using moisture and Yo clay is developed . To t est the predicted equation, resistivity measurements were made on natural soils both in s i tu a nd i n the laboratory. The data show that field and laboratory measurements are comparable. The predicted regression line c losely coinciqes with resistivity data from area A and area B soils ~clayey and silty~clayey sands). Resistivity data and the predicted regression line in the case of c layey soils (clays> 40%) do not coincide, especially a t l ess than 15% moisture. The regression equation overestimates the resistivity of so i l s from area C and underestimates for area D soils. Laboratory prepared high clay soils give similar trends. The deviations are probably caused by heterogeneous distribution of mo i sture and difference in the type o f cl ays present in these soils. en_US
dc.language.iso eng en_US
dc.publisher Brock University en_US
dc.subject Soils--Electric properties. en_US
dc.subject Electric resistance. en_US
dc.subject Soils--Analysis. en_US
dc.subject Soil moisture. en_US
dc.subject Soil temperature. en_US
dc.subject Soils--Density. en_US
dc.subject Cations. en_US
dc.title The effects of moisture, cation concentration, temperature, density and composition of soils on their electrical resistivity en_US
dc.type Electronic Thesis or Dissertation en_US
dc.degree.name M.Sc. Earth Sciences en_US
dc.degree.level Masters en_US
dc.contributor.department Department of Earth Sciences en_US
dc.degree.discipline Faculty of Mathematics and Science en_US


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search The Repository


Browse

My Account

Statistics


About the Digital Repository