Elsevier

Computers & Geosciences

Volume 35, Issue 11, November 2009, Pages 2250-2258
Computers & Geosciences

INV-WATFLX, a code for simultaneous estimation of soil properties and planar vector water flux from fully or partly functioning needles of a penta-needle heat-pulse probe

https://doi.org/10.1016/j.cageo.2009.04.005Get rights and content

Abstract

Soil thermal properties and water fluxes are fundamental for understanding water and heat transport phenomena in the vadose zone. Processes of interest include quantifying infiltration and runoff in addition to solute transport rates, which are of great interest in many scientific and engineering applications where water flux and temperature are key parameters. In this study, INV-WATFLX was developed for simultaneously fitting thermal diffusivity, thermal conductivity and heat velocities in a plane normal to a penta-needle heat-pulse probe (PHPP) using temperature rise measurements in a porous medium. The inverse problem is formulated as the minimization of a generalized least-squares criterion by means of a Gauss–Newton–Levenberg–Marquardt method. Fitted temperature measurements following a heat-pulse injection were calculated from an analytical solution of temperature rise derived at the four thermistor positions of the PHPP. The INV-WATFLX code was tested with a set of synthetic simulations using CORE2D V4. Relative errors of thermal diffusivity, conductivity, bulk volume heat capacity, and water fluxes estimated in INV-WATFLX to their prescribed values in the synthetic simulations were smaller than 3%. We also evaluated the ability of INV-WATFLX to provide estimation of thermal properties and fluxes from temperature rise measured by a sub-set of the four thermistors. INV-WAFLX was applied to laboratory column flow experiments for water flux estimation using a PHPP. Water fluxes estimated using INV-WATFLX was comparable to independently measured fluxes. The new code provides reliable estimation of soil thermal properties and water fluxes from temperature rise using heat-pulse measurements.

Introduction

Soil thermal properties and soil water flux measurements are desired for understanding water and heat transport phenomena in the vadose zone, quantifying infiltration, runoff and subsurface processes and are of great interest in many scientific and engineering applications where water fluxes and temperatures are required. Over the last decade numerous studies on heat-pulse measurements have shown promise for determination of thermal properties and water flux in soil (Bristow et al., 1993, Bristow et al., 1994; Campbell et al., 1991; Kluitenberg et al., 2007; Olmanson and Ochsner, 2008; Ren et al., 2000; Wang et al., 2002).

Generally, heat-pulse techniques for determination of thermal properties and water fluxes are based on applying a heat pulse to a line source and then measuring temperature rise at thermistor locations 6 mm from the heater. A dual-needle heat-pulse probe (DHPP) having one heater needle and one thermistor needle was presented by Campbell et al. (1991). That design allowed for rapid estimation of bulk heat capacity, specific heat capacity of the solid phase, thermal diffusivity, thermal conductivity, and water content. Subsequent improvements were made by other researchers (Basinger et al., 2003; Ham and Benson, 2004; Kluitenberg et al., 1995; Ochsner et al., 2003; Ren et al., 2003). Similar to a DHPP, a triple-needle heat-pulse probe (THPP) having two thermistor needles (i.e., downstream and upstream) was used for determining uni-directional water flux in soils (Kluitenberg et al., 2007; Ochsner et al., 2005; Ren et al., 2000; Wang et al., 2002). More recently, a penta-needle heat-pulse probe (PHPP) has been developed for estimating water flux in an arbitrary direction within a plane normal to the heater needle (Endo and Hara, 2007). A multi-functional heat-pulse probe (MFHPP) has been developed for simultaneously determining water content, solute concentration and thermal parameters (Mortensen et al., 2006).

The single-point method and inverse method (Bristow et al., 1995) have both been used to infer soil thermal parameters and water flux from temperature measurements of a heat-pulse based probe. The single-point method is based on the analytical solution of heat transport with an infinite line heat source and has been extensively used to estimate bulk volumetric heat capacity, thermal diffusivity, thermal conductivity, water content (Bristow et al., 1994; Campbell et al., 1991; Knight and Kluitenberg, 2004; Ochsner et al., 2003; Ren et al., 2003), and water flux (Gao et al., 2006; Kluitenberg et al., 2007; Ochsner et al., 2005; Ren et al., 2000; Wang et al., 2002). The inverse method involves fitting temperature–time data (T(t)) from heat-pulse based measurements. The advantage of an inverse method is that multi-parameters can be simultaneously estimated and the optimized parameters are extracted based on T(t) data, not simply using a single data point. Bristow et al. (1995) and Welch et al. (1996) fitted temperature measurements of a dual-needle heat-pulse probe using analytical solutions for thermal diffusivity, thermal conductivity, and bulk volume heat capacity. Hopmans et al. (2002) and Mortensen et al. (2006) fitted temperature measurements from a triple-needle heat-pulse probe and a multi-functional heat-pulse probe, respectively, using a numerical model to fit thermal properties, water flux, and water content. The advantage of fitting T(t) data using an analytical solution is that it requires much less computational effort than a numerical model. A finite element method (or finite difference method) is usually used in a numerical model although the heater geometry may be accounted for in the numerical model.

In this study the main objective was to present INV-WATERFLX, a numerical code for simultaneously fitting thermal diffusivity, thermal conductivity, and heat velocities within a plane normal to the PHPP using temperature rise measurements. Subsequently, corresponding bulk volume heat capacity, water content, and water fluxes are calculated. The inverse problem is formulated as the minimization of a generalized least-squares criterion by means of a Gauss–Newton–Levenberg–Marquardt method.

Section snippets

Parameter optimization

For uniform transport of water in an incompressible porous medium where conductive heat transfer dominates convective effects, the two-dimensional equation for combined heat conduction and convection (i.e., in a plane normal to the heater needle of a PHPP shown in Fig. 1) is,CTt=λ(2Tx2+2Ty2)-JxCwTx-JyCwTywhere T is temperature, t time, C bulk volumetric heat capacity (J m−3 °C−1), λ thermal conductivity (W m−1 °C−1), CW volumetric heat capacity of water, Jx and Jy two components of the

INV-WATFLX

INV-WATFLX is Fortran code for simultaneous determination of thermal diffusivity, thermal conductivity, and heat fluxes in soils from PHPP measurements. A flowchart outlining the INV-WATFLX code is shown in Fig. 2. The code provides a choice of, (1) a simple forward calculation of temperature rise at the four thermistors using known values of the four parameters (κ, λ, Vx, Vy), or (2) the inverse calculation for parameter optimization from the T(t) data. The inverse estimation starts with

Verification

A set of synthetic simulations were performed to test the inverse method implemented in the program, INV-WATFLX. A two-dimensional domain was 10 by 10 cm with a porosity, φ, of 0.4, bulk volumetric heat capacity, C, of 3.07 MJ/(m3 °C) in all synthetic cases. The porous medium was fully saturated with a prescribed thermal conductivity of 1.95 W/(m °C). Parameter values used in the simulations relating to soil properties are listed in Table 4. A probe having two orthogonal pairs of thermistor needles

Parameter estimation with reduced data

Thus far, the four parameters (κ, λ, Vx, and Vy) were simultaneously estimated using T(t) data from all four thermistors of a PHPP. However, in case of temperature senor failure it becomes important to consider how well INV-WATFLX can estimate the four parameters using reduced T(t) data. To explore these questions, INV-WATFLX was used to estimate simultaneously the four parameters from T(t) data provided by any of three, two, or even one of the four thermistors. A parameter, R, is defined as a

Summary

This study presents a code, INV-WATFLX, for simultaneously estimating soil thermal properties and planar vector water flux from T(t) data of a PHPP which generally has one heater needle and two pairs of thermistor needles orthogonally arranged around the heater needle. The inverse problem was formulated as the minimization of a generalized least-squares criterion by means of a Gauss–Newton–Levenberg–Marquardt method. The fitted T(t) at the thermistors positions were calculated according to an

Acknowledgements

This study was supported by a project of USDA-CSREES Special Research Grant no. 2005-34552-15828 from the USDA Cooperative State Research, Education, and Extension Service. We acknowledge Jimmy Suisse, Kelly Lewis and Franyell Silfa who were responsible for the design, construction and programming of the PPHP sensor and Bill Mace for technical assistance. We also greatly thank Dr. Kluitenberg for his constructive suggestions on the derivation of the analytical solution, Eq. (3) and Jacobian

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