THERMAL CONDUCTIVITY AND DIFFUSIVITY OF FOUR TRINIDADIAN SOILS AS AFFECTED BY PEAT CONTENT

Abstract

Thermal conductivity and diffusivity were measured in the field and the laboratory with a portable thermalproperties sensor and probe (KD2, Decagon Devices, Inc.) for twelve major agricultural soils in Trinidad. These parameterswere measured because they are required for the design of underground cables and for agronomic practice. The effect ofincorporating peat into four of the agricultural soils on thermal conductivity and diffusivity was further investigated over arange of stresses from 0 to 1000 kPa using a compression machine. Air-dry peat was applied at four levels (0%, 4%, 8%, and12% by mass) to the four soils (two sandy loams, a clay loam, and clay) and tested at three moisture contents by mass, namely,5% below Proctor optimum for maximum compaction, optimum, and 5% above optimum. Bulk densities achieved during soilcompression were computed to assist in the interpretation of the results. The thermal conductivity measured in the field rangedfrom 0.90 to 1.55 W m-1 C-1 and were within 0.1 W m-1 C-1 of the values measured in the laboratory for the individualsoils. Mean thermal conductivity during laboratory measurements declined significantly from 1.21 to 0.97 W m-1 C-1, andmean thermal diffusivity declined from 0.25 to 0.19 mm2 s-1 as the peat content increased from 0% to 12% by mass. Meanthermal conductivity and thermal diffusivity increased significantly with increasing applied stress and moisture level at the0.001 level and declined, in most cases, with increasing clay content. The effect of peat incorporation in decreasing soilthermal conductivity and thermal diffusivity is diminished at low soil moisture and bulk density. Thermal conductivity anddiffusivity were significantly (p = 0.001) and linearly related to each other. Two significant (p = 0.001) linear equationsdeveloped to relate each thermal property to bulk density suggest that unique relationships may exist between the two thermalproperties and bulk density. A multiple linear regression equation was further developed from the experimental data to beutilized as a first estimation of bulk density. The results from this study contribute to the greater understanding of how peataffects thermal conductivity and diffusivity.