scholarly journals On a problems related to a concept of soil thermal diffusivity and estimation of its dependence on soil moisture

2020 ◽  
Vol 10 (2) ◽  
pp. 68-85
Author(s):  
M. V. Glagolev ◽  
A. F. Sabrekov

Two problems in the theory of soil thermal conductivity are considered. First, the concept of the thermal diffusivity coefficient is discussed. It was shown that this coefficient can be used for model predictions only in a certain special cases. In the general case (when the soil thermal capacity and thermal conductivity vary in space and/or in time), the thermal diffusivity does not naturally appear. It could be artificially introduced into the heat equation but, in any case, to solve this equation (i.e., to calculate the dynamics of the soil temperature), this one parameter is not sufficient. It is necessary to set both the heat capacity and thermal conductivity as a functions of spatial and temporal coordinates or as a functions of environmental factors (e.g. soil moisture) depending on these coordinates. In this regard, the widespread misconception of the supposed sufficiency of one parameter (soil thermal diffusivity as a ratio of soil thermal conductivity to thermal capacity) for solving the heat equation using numerical methods is discussed. The examples of the common difference schemes used in computational practice show that this is not the case. Secondly, the condition number for the problem of parameters identification for the dependence of the soil thermal diffusivity coefficient on humidity for one well-known equation is considered. It is shown on real examples, that this problem is often ill-conditioned when solved by the least-squares method. However, sometimes its stability can be significantly improved if simple constraints are set for certain parameters (least-squares method with constraints). В работе рассматриваются две проблемы, возникающие в теории теплопроводности почв. Во-первых, обсуждается понятие коэффициента температуропроводности в свете того, что оно появляется только в отдельных весьма частных случаях, а в общем случае (когда теплоемкость и теплопроводность изменяются по пространству и/или с течением времени) коэффициент температуропроводности естественным образом вообще не возникает. Для такой среды с переменными (по пространству и во времени) свойствами он может быть искусственно введен в уравнение динамики температурного поля, но, в любом случае, для решения этого уравнения (т.е. для расчета динамики температурного поля) недостаточно одного параметра необходимо задать и теплоемкость, и теплопроводность как функции пространственной и временной координат или как функции факторов среды (например, влажности), зависящих от этих координат. В связи с этим обсуждается и распространенное заблуждение о якобы достаточности одного параметра (коэффициента температуропроводности как отношения теплопроводности к теплоемкости) при решении вышеуказанного уравнения численными методами. На примерах основных разностных схем, применяемых в вычислительной практике, показано, что это не так. Во-вторых, рассматривается число обусловленности задачи идентификации параметров одного изветного уравнения зависимости коэффициента температуропроводности от влажности. На конкретных примерах показано, что данная задача при ее решении обычным методом наименьших квадратов часто является плохо обусловленной. Однако иногда ее обусловленность удается существенно улучшить при наложении простейших ограничений на искомые параметры (метод наименьших квадратов с ограничениями). Текст статьи на русском языке см. на вкладке Дополнительные файлы

2014 ◽  
Vol 53 (8) ◽  
pp. 1976-1995 ◽  
Author(s):  
Jeffrey D. Massey ◽  
W. James Steenburgh ◽  
Sebastian W. Hoch ◽  
Jason C. Knievel

AbstractWeather Research and Forecasting Model forecasts over the Great Salt Lake Desert erroneously underpredict nocturnal cooling over the sparsely vegetated silt loam soil area of Dugway Proving Ground in northern Utah, with a mean positive bias error in temperature at 2 m AGL of 3.4°C in the early morning [1200 UTC (0500 LST)]. Positive early-morning bias errors also exist in nearby sandy loam soil areas. These biases are related to the improper initialization of soil moisture and parameterization of soil thermal conductivity in silt loam and sandy loam soils. Forecasts of 2-m temperature can be improved by initializing with observed soil moisture and by replacing Johansen's 1975 parameterization of soil thermal conductivity in the Noah land surface model with that proposed by McCumber and Pielke in 1981 for silt loam and sandy loam soils. Case studies illustrate that this change can dramatically reduce nighttime warm biases in 2-m temperature over silt loam and sandy loam soils, with the greatest improvement during periods of low soil moisture. Predicted ground heat flux, soil thermal conductivity, near-surface radiative fluxes, and low-level thermal profiles also more closely match observations. Similar results are anticipated in other dryland regions with analogous soil types, sparse vegetation, and low soil moisture.


2012 ◽  
Vol 204-208 ◽  
pp. 650-653
Author(s):  
Jiang Li ◽  
Jun Ping Fu ◽  
Wu Gang Xie

System effectiveness and useful life of heat pump are directly affected by whether the design of ground heat exchanger is reasonable or not. The efficiency of heat exchanger has a close relationship with soil thermal conductivity coefficient and heat diffusivity, while soil moisture content affects soil thermal conductivity coefficient and soil temperature field. In this paper, we perform numerical simulation on CFD software. Then we study the soil temperature changes through field experiment in different soil moisture content on field experiment and finally obtained the relationships of the moisture content with the single U ground soil temperature field.


2017 ◽  
Vol 833 ◽  
pp. 677-686 ◽  
Author(s):  
Krzysztof A. Mizerski

The point of this short paper is to provide a useful set of equations governing stratified convection, expressed solely in terms of two thermodynamic variables, i.e. the pressure and the entropy, and the velocity field of the flow, free from any additional assumptions about the properties of turbulence. The pressure fluctuation is entirely eliminated from the energy equation and it appears only in the momentum balance, easily removable by taking its curl. This goal is achieved through the well-known anelastic approximation and an assumption of constant thermal diffusivity coefficient. The rigorously derived system of anelastic liquid equations constitutes a useful tool for modelling the dynamics of stellar interiors.


2013 ◽  
Vol 26 (10) ◽  
pp. 3139-3158 ◽  
Author(s):  
Zachary M. Subin ◽  
Charles D. Koven ◽  
William J. Riley ◽  
Margaret S. Torn ◽  
David M. Lawrence ◽  
...  

Abstract At high latitudes, changes in soil moisture could alter soil temperatures independently of air temperature changes by interacting with the snow thermal rectifier. The authors investigated this mechanism with model experiments in the Community Land Model 4 (CLM4) with prescribed atmospheric forcing and vegetation state. Under equilibrium historical conditions, increasing CO2 concentrations experienced by plants from 285 to 857 ppm caused local increases in soil water-filled pore space of 0.1–0.2 in some regions throughout the globe. In permafrost regions that experienced this moistening, vertical- and annual- mean soil temperatures increased by up to 3°C (0.27°C averaged over all permafrost areas). A similar pattern of moistening and consequent warming occurred in simulations with prescribed June–September (JJAS) rainfall increases of 25% over historical values, a level of increase commensurate with projected future rainfall increases. There was a strong sensitivity of the moistening responses to the baseline hydrological state. Experiments with perturbed physics confirmed that the simulated warming in permafrost soils was caused by increases in the soil latent heat of fusion per unit volume and in the soil thermal conductivity due to the increased moisture. In transient Representative Concentration Pathway 8.5 (RCP8.5) scenario experiments, soil warming due to increased CO2 or JJAS rainfall was smaller in magnitude and spatial extent than in the equilibrium experiments. Active-layer deepening associated with soil moisture changes occurred over less than 8% of the current permafrost area because increased heat of fusion and soil thermal conductivity had compensating effects on active-layer depth. Ongoing modeling challenges make these results tentative.


2021 ◽  
Vol 25 (Spec. issue 1) ◽  
pp. 1-7
Author(s):  
Ahmet Yurttakal

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, and 3.18% MAE values which state that the algorithm is encouraging.


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