Heat conduction and heat storage characteristics of soils

Zhang, H.-F.; Ge, Xiaomei; Ye, H.; Jiao, Dongsheng

doi:10.1016/j.applthermaleng.2006.07.024

Cited by 31 publications

(12 citation statements)

References 12 publications

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“…At this site, the mean soil thermal conductivity was 1.07 (W m −1 K −1 ); while the soil volumetric heat capacity was computed as the sum of the heat capacities of the dry soil and soil water (Zhang et al 2007):…”

Section: Methodsmentioning

confidence: 99%

Long-term estimation of soil heat flux by single layer soil temperature

2008

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Soil heat flux is one of the important components of surface energy balance. In this study, long-term estimation of soil heat flux from single layer soil temperature was carried out by the traditional sinusoidal analytical method and the half-order time derivative method of Wang and Bras [Wang and Bras (1999) J Hydrol 216:214-226]. In order to understand the characteristics of soil heat flux and to examine the performances of the two methods, a field experiment was conducted at a temperate and humid grassland in Cork, Ireland. Our results show that the soil heat flux had the same magnitude as the sensible heat flux at this grassland site. It was also demonstrated that the analytical method did not predict the soil heat flux well because the sinusoidal assumption for the temporal variation in soil heat flux was invalid. In contrast, good agreement was found between the soil heat flux measurements and predictions made by the half-order time derivative method. This success suggests that this method could be used to estimate soil heat flux from long-term remotely sensed surface temperature.

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Section: Methodsmentioning

confidence: 99%

Long-term estimation of soil heat flux by single layer soil temperature

2008

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“…At present, many researchers have carried out relevant research through laboratory experiment and numerical test (Lv et al, 2006;Grandjean et al, 2006;Usowicz et al, 2006a, b;Huai et al, 2007;Wang et al, 2007;Zhang et al, 2007), many empirical formulas are summarized. We drew a comparison between some selected empirical formulas and fitting curves obtained from our experimental values.…”

Section: Comparison With Empirical Formulasmentioning

confidence: 99%

“…Under such circumstances, many investigators from the petrologic and geodynamical communities are now seeking to use numerical tests to replace the traditional laboratory measurement tests (Haghighi et al, 1990;Ramani and Vaidyanathan, 1995;Cheng et al, 2005;Jessop, 2007;Zhang et al, 2007). The numerical simulation of the two-phase and multiphase media is becoming one hot issue as well.…”

Section: Introductionmentioning

confidence: 97%

“…Lv et al (2006) and Huai et al (2007) analyzed the effective thermal conductivity of fractal porous media by using finite volume method. Usowicz et al (2006a, b) and Zhang et al (2007) predicted the terrestrial soil with water content or air-filled porosity thermal conductivity. Wang et al (2007) investigated the spatial-scale effect on the effective thermal conductivity of porous media, and Grandjean et al (2006) calculated the thermal conductivity of porous ceramics based on micrographs by numerical methods.…”

Section: Introductionmentioning

confidence: 98%

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Numerical analysis on thermal conductivity of poly-mineral rock

Jing

Zhang

et al. 2010

Earthq Sci

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In order to explore the thermal conductivity of the natural poly-mineral rock, numerical tests of rock models with randomly-distributed components were conducted and compared with each other. Elaborately designed Monte Carlo method was adopted to ingratiate the requirement of the random characteristics of grain size and the grains' spatial distribution. This requirement was fulfilled by clustering the randomly generated unstructured tetrahedral elements in full three dimensions. Natural rocks are consisted of randomly distributed crystal particles or intergranular minerals. Our primary results verify that the thermal conductivity of the rock is strongly sensitive to the ingredients' volume fraction and their spatial distribution. Furthermore, we proved that, in order to reduce the measurement error to a reasonable range, the numerical specimen must be large enough or include sufficient number of mineral particles. Our numerical test results are in accordance with a variety of empirical formulas which are currently employed in petrology.

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“…In arid and semi-arid zones of tropical and subtropical regions with low organic matter content and sandy in nature, soil moisture retention and soil thermal regulation is an important aspect of crop establishment as high soil heat stress may damage seedling emergence and root growth, and thereby crop growth and development (Adak et al, 2012a;Meena et al, 2012). Under normal conditions, farmers try to regulate soil heat balance by applying irrigation, mulching, improving drainage condition and adding organic fertilizers in order to prevent reflection of heat from soil, to preserve heat and soil moisture and to provide appropriate temperature for seed germination (Nabi and Mullins, 2008;Shekhawat et al, 2012;Zhang et al, 2007). Inadequate soil temperature delays germination, which results in retarded maturity and reduces the quality and quantity of the product.…”

Section: Introductionmentioning

confidence: 99%

Relation between soil temperature and biophysical parameters in Indian mustard seeds

Adak¹,

Chakravarty²

2013

International Agrophysics

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Temporal changes in surface soil temperature were studied in winter crop. Significant changes in bare and cropped soil temperature were revealed. Air temperature showed a statistically positive and strong relationship (R2 = 0.79** to 0.92**) with the soil temperature both at morning and afternoon hours. Linear regression analysis indicated that each unit increase in ambient temperature would lead to increase in minimum and maximum soil temperatures by 1.04 and 1.02 degree, respectively. Statistically positive correlation was revealed among biophysical variables with the cumulative surface soil temperature. Linear and non-linear regression analysis indicated 62-69, 72-86 and 72-80% variation in Leaf area index, dry matter production and heat use efficiency in Indian mustard crop as a function of soil degree days. Below 60% variation in yield in Indian mustard was revealed as a function of soil temperature. In contrast, non-significant relationship between oil content and soil temperature was found, which suggests that oil accumulation in oilseed crops was not affected significantly by the soil temperature as an independent variable.

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Heat conduction and heat storage characteristics of soils

Cited by 31 publications

References 12 publications

Long-term estimation of soil heat flux by single layer soil temperature

Long-term estimation of soil heat flux by single layer soil temperature

Numerical analysis on thermal conductivity of poly-mineral rock

Relation between soil temperature and biophysical parameters in Indian mustard seeds

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