Estimation methods for thermal conductivity of sandy soil with electrical characteristics

Tokoro, Tetsuya; Ishikawa, Tatsuya; Shirai, Satoru; Nakamura, Tsutomu

doi:10.1016/j.sandf.2016.08.016

Cited by 64 publications

(25 citation statements)

References 12 publications

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“…al [21], Tokoro et. al [22] in the literature. Table 1 presents some statistical outputs such as mean, standard deviation, minimum and maximum of each input values of dry density, porosity, saturation degree, quartz content, sand content, clay content, and thermal conductivity measurements in the dataset.…”

Section: Datasetmentioning

confidence: 95%

Extreme gradient boosting regression model for soil thermal conductivity

Haşim

2021

THERM SCI

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The thermal conductivity estimation for the soil is an important step for many geothermal applications. But it is a difficult and complicated process since it involves a variety of factors that have significant effects on the thermal conductivity of soils such as soil moisture and granular structure. In this study, regression was performed with the Extreme Gradient Boosting algorithm to develop a model for estimating thermal conductivity value. The performance of the model was measured on the unseen test data. As a result, the proposed algorithm reached 0.18 RMSE, 0.99 R2, 3.18% MAE values which state that the algorithm is encouraging.

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Section: Datasetmentioning

confidence: 95%

Extreme gradient boosting regression model for soil thermal conductivity

Haşim

2021

THERM SCI

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“…This is thought to be due to the excessive use of chemical fertilizers, including KCl, Urea, etc. The availability of groundwater influences the high conductivity of electricity [8]. In contrast, there was also low phosphorus content, supposed to be caused by a decline in the amount of P which is partially bound by organic matter and aluminum [9]), subsequently increasing the pH [10].…”

Section: A Control Location (Uncontaminated)mentioning

confidence: 99%

The Impact of Palm Oil Mill Wastewater on the Soil Properties of Paddy Fields

Aprisal

Taifur

Dwipa

et al. 2019

Int. J. Adv. Sci. Eng. Inf. Technol.

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A paddy field is a wetland area which always muddy and constantly flooded by irrigation. This land possesses impermeable layers, hence the irrigation water quality ought to be maintained, to prevent changes in its properties, as well as the paddy field features. Furthermore, wetland pollution by the palm oil mill wastewater PT BSS was experienced in June 2018, characterized by a lowered quality of water in the fields of Manggopoh Village, Agam District, West Sumatra. The purpose of this study, therefore, is to determine the effect of PT BSS palm oil mill wastewater on the quality of paddy fields, using a survey method to obtain samples through random sampling techniques. This research was conducted downstream, based on the direction of flow along the irrigation channel as well as on the uncontaminated fields upstream. Furthermore, a ring and ground drill was used in the collection process, and analysis for physical and chemical properties was conducted in the Soil laboratory of the faculty of Agriculture, Andalas University. Subsequently, the evaluation involved averaging the soil data, followed by a comparison with the criterion level of damage, and ANOVA was used to estimate the difference between sample point locations, at a significance level of 0.05%. The results obtained indicate the absence of any changes in soil properties, in contrast with the water characteristics that can cause damage because the paddy soil is in a saturated state. Thus, wastewater is unable to permeate the soil matrix. Hence, it does not change the properties, since the values obtained passed the threshold criteria for soil.

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“…In the last few decades, some experimental and theoretical approaches have been proposed in the literature to determine the soil thermal conductivity [9][10][11][12][13]. For example, the weighted average thermal conductivity of each component in the soil matrix was proposed in the De Vries model [14] and a correlation between thermal conductivity and degree of saturation which incorporates a variable kappa that accounts for the soil type effect was deduced by Cote and Konrad [15].…”

Section: Introductionmentioning

confidence: 99%

Semiempirical Correlation between P‐Wave Velocity and Thermal Conductivity of Frozen Silty Clay Soil

Zhu

Lyu

et al. 2021

Shock and Vibration

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In this study, the thermal conductivity and P-wave velocity of silty clay soil with different water contents are investigated through experiments at different temperatures, and a theoretical correlation between thermal conductivity and wave velocity is established. With temperature decline, the unfrozen water content is reduced and frost heave cracks propagate in soil samples. The variations in thermal conductivity and P-wave velocity are summarized as four phases. The freezing temperature of silty clay soil is between −2°C and −4°C. There is an inversely proportional relationship between thermal conductivity and P-wave velocity for silty clay soil at temperatures below freezing. The experimental results show that the theoretical correlation can well explain the relationship between P-wave velocity and thermal conductivity. These findings provide a possibility for determining the thermal conductivity easily and quickly in geothermal systems and underground engineering projects.

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Estimation methods for thermal conductivity of sandy soil with electrical characteristics

Cited by 64 publications

References 12 publications

Extreme gradient boosting regression model for soil thermal conductivity

Extreme gradient boosting regression model for soil thermal conductivity

The Impact of Palm Oil Mill Wastewater on the Soil Properties of Paddy Fields

Semiempirical Correlation between P‐Wave Velocity and Thermal Conductivity of Frozen Silty Clay Soil

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