Soil thermal parameters assessment by direct method and mathematical models

Шеин, Е. В.; Mady, Ahmed Yehia

doi:10.5897/jssem2016.0585

Cited by 8 publications

(7 citation statements)

References 16 publications

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“…Soil thermal diffusivity was measured in the laboratory using Kondratieff method [12] at different water content according to Shein and Mady [5]. The levels of soil water content were 0.14, 0.16, 0.18, 0.22, 0.25, 0.28 and 0.30 g/g soil.…”

Section: Determination Of the Thermal Diffusivity (K D )mentioning

confidence: 99%

“…The relationship between soil thermal diffusivity and water content was represented using a quadratic equation as Eq.2 Shein and Mady [5]. The quadratic equation, one of the nonlinear regression forms, was selected according to the highest value of determination coefficient (R 2 ) between soil thermal diffusivity and water content.…”

Section: Model Of the Quadratic Equation For Calculating Soil Thermalmentioning

confidence: 99%

“…This result was agreed with Usowicz et al [24]; Arkhangel'skaya et al [25]; they found that soil thermal diffusivity (K D ) is amplified by increasing the soil bulk density and moisture content. And also with depth, soil bulk density was increased and soil organic matter was decreased, which affected soil porosity, pore size distribution, volumetric of heat capacity and decreased the soil thermal diffusivity according to Shein and Mady [5].…”

Section: Modeling Soil Thermal Diffusivity As a Function Of Soil Moismentioning

confidence: 99%

“…It appears to be more logical because with increasing soil moisture, increasing contact points between the soil particles lead to increasing soil bulk density and thermal diffusivity reaching the maximum values of thermal diffusivity at soil field capacity. With more soil moisture, soil particles have less cohesion with water consequently resulting in decreasing soil thermal diffusivity [5,13].…”

Section: The Efficiency Of Ptf For Predicating Soil Thermal Diffusivitymentioning

confidence: 99%

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Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Mady¹,

Шеин²

2018

TOASJ

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Background and Objective:Pedotransfer Functions (PTFs) are widely used for estimating soil thermal diffusivity. Some attempts have been made to indirectly predict soil thermal diffusivity from the easy available fundamental soil physics properties. The aim of the work was to validate usage PTFs with Nonlinear Regression (NLR) for estimating soil thermal diffusivity (KD), moreover was to select the best predictor variables used for determination of PTFs.Materials and Methods:Soil thermal diffusivity was measured at different values of water content using Kondratieff method. The parameters of the quadratic equation, which described the relation between thermal diffusivity and water content, were determined by the fitting curve and using PTFs (exponential equations) based on soil physical properties. The Combination of different soil physical properties used as PTF model’s independent variables was tested. Three classes of PTFs were proposed using NLR to estimate KDwere: KDPTF-1 (Sand+ Silt+ Clay), KDPTF-2 (Sand+ Silt+ Clay + Bulk density), and KDPTF-3 (Sand+ Silt+ Clay+ Bulk density + Organic matter).Results:The best class of PTF could be used for calculating the parameters of the quadratic equation and soil thermal diffusivity, was KDPTF-1 which taking into account the percentage of sand, silt and clay, RMSE=2.94×10-8m2/s, and GMER =1.05.Conclusion:The quadratic and exponential equations were representing the nonlinear regression equations, which could be used for estimating soil thermal diffusivity at different values of water content from easily available data on soil texture, bulk density, and organic matter content.

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Section: Determination Of the Thermal Diffusivity (K D )mentioning

confidence: 99%

Section: Model Of the Quadratic Equation For Calculating Soil Thermalmentioning

confidence: 99%

Section: Modeling Soil Thermal Diffusivity As a Function Of Soil Moismentioning

confidence: 99%

Section: The Efficiency Of Ptf For Predicating Soil Thermal Diffusivitymentioning

confidence: 99%

See 2 more Smart Citations

Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Mady¹,

Шеин²

2018

TOASJ

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“…The dynamics of soil moisture and temperature may be calculated using mathematical models, which are involving the quantitative description of the hydro and thermal-physical properties based on fundamental of soil physical parameters as predictors. The information of soil hydro and thermal-physical properties is required to accurately predict modeling soil moisture and temperature dynamics Shein, Mady, 2016). Several methods used for estimation and measurement of soil hydro and thermal-physical properties, they have divided into direct and indirect methods.…”

Section: Introductionmentioning

confidence: 99%

Validation of HYDRUS-1D for Predicting of Soil Moisture Content with Hysteresis Effect

2019

Biogeosystem Technique

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HYDRUS-1D program is commonly used to estimate soil moisture, solute, and temperature flow in saturated and unsaturated zone under different initials and boundary conditions. The aim of the work was to validate the efficiency of HYDRUS-1D program for predicting soil moisture and temperature dynamics with hysteresis using HYDRUS-1D for clay loam Albic Glossic Retisols (Lomic, Cutanic) soils. The efficiency of HYDRUS-1D was determined by comparing field experiment measurements of soil moisture and temperature dynamics with its calculated soil moisture and temperature dynamics by HYDRUS-1D based on soil physical properties. The distribution and the values of measured soil moisture and temperature dynamics in the field were close to its calculated soil moisture and temperature using HYDRUS-1D with hysteresis effect of soil water retention. HYDRUS-1D program can be used for simulation of soil moisture and temperature dynamics, but more accurate calculations are possible when using the hysteresis effect of soil moisture retention curve for Сlay loam and silty Сlay loam soils.

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Thermal performance simulations of Earth-Air Heat Exchangers for different soils of a coastal city using in-situ data

Rodrigues

Coswig

Camargo

et al. 2018

Sustainable Energy Technologies and Assessments

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Soil thermal parameters assessment by direct method and mathematical models

Cited by 8 publications

References 16 publications

Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Validation of HYDRUS-1D for Predicting of Soil Moisture Content with Hysteresis Effect

Thermal performance simulations of Earth-Air Heat Exchangers for different soils of a coastal city using in-situ data

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