Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Mady, Ahmed Yehia; Шеин, Е. В.

doi:10.2174/1874331501812010164

Cited by 7 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data were analyzed by using IBM statistical software SPSS version 16.0 (and Microsoft Excel 2016 (Arkkelin, 2014;Mady and Shein, 2018).One-way ANOVA was used for testing significant differences of different soil physiochemical properties in different land use system at 95% of confidence interval.…”

Section: Discussionmentioning

confidence: 99%

Assessment of soil quality for different land uses in the Chure region of Central Nepal

Ghimire

Bhatta

Pokhrel

et al. 2018

J. Agric. Nat. Res.

View full text Add to dashboard Cite

Soil quality is the capacity of soil to sustain biological productivity and environmental quality. Assessment of soil quality in different land use systems is essential as inappropriate land use management can degrade and deteriorate its function and stability. In this regard this study was carried out to evaluate soil quality of different land use types in Chure region of central Nepal. Soil quality index (SQI) was determined on the basis of the soil physiochemical parameters. Soil properties like soil pH, organic matter (OM), total nitrogen (TN), available potassium (AK), and available phosphorous (AP) were significantly affected by land uses types. Forest soil had the highest soil quality index (0.82) followed by bari (0.66), khet (0.64), and degraded land (0.40). Of the soil properties studied, total nitrogen and soil organic matter had the determining role in making significant impacts in the SQI among the different land uses. Hence, the results of this study can be important tool for planner, policy makers, and scientific community to frame appropriate land use management strategy.

show abstract

Section: Discussionmentioning

confidence: 99%

Assessment of soil quality for different land uses in the Chure region of Central Nepal

Ghimire

Bhatta

Pokhrel

et al. 2018

J. Agric. Nat. Res.

View full text Add to dashboard Cite

show abstract

“…Some models allowed to derive an inverse information on the soil bulk density by the measured data of the volumetric heat capacity or thermal conductivity and water content (Ochsner et al, 2001b;Lu et al, 2016). The soil thermal diffusivity at different water content was estimated from easily available data on soil texture, bulk density, and organic matter content (Mady and Shein, 2018). It was concluded that the best results for D were received when was taken into account the percentage of sand, silt, and clay (soil texture).…”

Section: Introductionmentioning

confidence: 99%

Evaluation of thermal properties of soils amended with microplastics, vermicompost and zeolite using experimental and modeling data

DONEVA,

KERCHEVA,

RUBİO

2023

EJSS

View full text Add to dashboard Cite

The thermal properties of soils can be influenced by additives of different origins (non-organic, organic and mineral) and roles in soil quality. This study aims to evaluate the effects of microplastics, vermicompost, and zeolite on the thermal properties of two soil types using a combination of experimental data and modeling approaches. Laboratory experiments were conducted using surface layer samples of a clay soil (Vertic Phaeozem) and a loam soil (Haplic Cambisol). Each additive was applied at a mass ratio of 10% to the soil samples. The thermal conductivity (λ), thermal diffusivity (D) and volumetric heat capacity (Cv) were measured with the SH1 sensor of a KD2Pro device during the drainage process of the soil samples at different matric potentials. The relationships between λ, Cv, D, gravimetric water content, and matric suction (h) were analyzed using linear and polynomial regression models (for Cv and D) and a closed-form equation (for λ). The fitted models exhibited small errors, such as a root mean square error (RMSE) of 0.03-0.06 W m-1 K-1, and high coefficient of determination R2>0.9. The effects of the different additives on water retention, λ, Cv and D were found to be specific to each soil type and depended on the properties of both the soil and the additives. These findings highlight the significance of additives in modifying soil thermal properties and emphasize the importance of considering the interactions between soil characteristics and additive properties. The combination of experimental data and modeling approaches provides valuable insights into understanding the complex dynamics of soil thermal properties and the potential impacts of additives on soil functionality and quality.

show abstract

“…PSD measured by PM is widely used for estimation of soil hydro-physical properties such as saturated hydraulic conductivity (Shein et al, 2015;Mady and Shein, 2018a), soil water retention curve (Makó et al, 2014;Lamorski et al, 2014) and hysteresis of soil water retention curve (Lamorski et al, 2017;Shein and Mady, 2018;Mady and Shein, 2018b;Shein et al, 2019). Also, it has been used for calculation of soil thermal-physical properties such as thermal diffusivity (Mady and Shein, 2018c). There are many programs used PSD as an input data such as Rosetta, RETC, and HYDRUS-1D programs (Šimůnek et al, 2008).…”

Section: Introductionmentioning

confidence: 99%

Optimizing particle size distribution measured by laser diffraction technique for estimating soil hydraulic properties

Mady¹,

Шеин²

2019

Self Cite

View full text Add to dashboard Cite

Particle size distribution (PSD) is the fundamental characteristic that gives information about soil physical properties. It is the essential predictor used in most predictive programs for predicting water flux, solute, and heat transport in soil. Predictive programs such as Rosetta, RETC, and HYDRUS-1D are usually used PSD measured by the pipette method (PM), whereas the usage of PSD measured by laser diffraction technique (LDT) yields a large estimation error in heavy soil. The aim of the work was to optimize PSD measured by LDT for approaching to PSD measured by PM by suggesting Pedotransfer functions (PTFs). Furthermore, it is to evaluate the efficiency of PSD calculated by the proposed PTFs for estimating soil hydraulic properties using Rosetta program. Particle size distribution was measured by two methods: LDT and PM using the same dispersion factor (sodium pyrophosphate solution 4%). Proposed PTFs were derived for calculation of particle size distribution using a linear regression between PSD measured by LDT as an independent variable and PSD measured by PM as a dependent variable. PSD calculated using proposed PTFs leads to optimize values of PSD measured by LDT for approaching to values of PSD measured by PM. Optimizing PSD by proposed PTFs was suitable for calculating soil hydraulic parameters using Rosetta program with a little estimation error, for agro-soddy podzolic with soil texture as silty loam and silty clay loam.

show abstract

Estimating Soil Thermal Diffusivity Using Pedotransfer Functions with Nonlinear Regression

Cited by 7 publications

References 23 publications

Assessment of soil quality for different land uses in the Chure region of Central Nepal

Assessment of soil quality for different land uses in the Chure region of Central Nepal

Evaluation of thermal properties of soils amended with microplastics, vermicompost and zeolite using experimental and modeling data

Optimizing particle size distribution measured by laser diffraction technique for estimating soil hydraulic properties

Contact Info

Product

Resources

About