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An analytical solution for estimating percolation rate by fitting temperature profiles in the vadose zone
Chao Shan1, Gudmundur Bodvarsson
1Earth Sciences Division, Lawrence Berkeley National Laboratory, 90-1116, 1 Cyclotron Road, Berkeley, CA 94720, USA. c_shan@lbl.gov
Journal of Contaminant Hydrology
|December 31, 2003
Summary
We developed an analytical solution for heat transfer in multilayer systems like the vadose zone. This method accurately estimates percolation rates using field data, aiding in hydrological studies.
Area of Science:
- Geophysics
- Environmental Science
- Hydrogeology
Background:
- Heat transfer in multilayer systems, such as the vadose zone, involves both conduction and convection.
- Accurate estimation of subsurface water movement (percolation) is crucial for hydrological and environmental assessments.
- Existing methods may lack the precision or simplicity required for detailed vadose zone characterization.
Purpose of the Study:
- To present a straightforward analytical solution for one-dimensional steady-state heat transfer through multilayered media.
- To demonstrate the inverse application of this solution for accurately estimating percolation rates in the vadose zone.
- To explore the potential of the solution in characterizing lateral flow phenomena at layer interfaces.
Main Methods:
- Developed an analytical model for heat transfer considering conduction and convection in homogeneous layers with constant thermal diffusivity.
- Assumed perpendicular heat/mass flow and constant mass flow rate across the system boundaries.
- Utilized constant, known temperatures at the system's boundaries for model calibration and validation.
Main Results:
- The analytical solution provides temperature as a function of system parameters, including percolation rate.
- Inverse application with reliable field data allows for high-accuracy determination of percolation rates (e.g., to mm/year).
- The model shows potential for identifying and characterizing lateral water flow along different geological layers.
Conclusions:
- The presented analytical solution offers a simple yet effective tool for analyzing heat transfer in multilayered vadose zones.
- This method provides a robust approach for quantifying subsurface water flow, crucial for hydrological modeling and resource management.
- The solution's utility extends to characterizing complex flow dynamics, including lateral movement, within the subsurface.