Abstract
AbstractIt is well known that land surface topography governs surface–groundwater interactions under some circumstances and can be separated in a Fourier-series spectrum that provides an exact analytical solution of both the surface and the underlying three-dimensional groundwater flows. We evaluate the performance of the current Fourier fitting process by testing on different scenarios of synthetic surfaces. We identify a technical gap and propose a new version of the approach which incorporates the spectral analysis method to help identify the statistically significant frequencies of the surface to guide the refinement and mesh. Our results show that spectral analysis is the method that can help improve the accuracy of representing the surface, thus further improving the accuracy of predicting the bedform-driven hyporheic exchange flows.
Highlights
Rivers are among the most fascinating freshwater bodies on Earth, integrating many forms of ecological processes that influence the water quality (Brunke & Gonser ; Boulton et al ; Boano et al )
If the traditional Fourier fitting process is optimized, we should always expect more accuracy in approximating the synthetic surface when increasing the number of Fourier fitting frequencies
We want to illustrate that the limitation of this study is that we only examine the validity of our new Fourier fitting strategy with very simple synthetic surface scenarios
Summary
Rivers are among the most fascinating freshwater bodies on Earth, integrating many forms of ecological processes that influence the water quality (Brunke & Gonser ; Boulton et al ; Boano et al ). Much progress has been made in understanding the river corridor system; there is one critical limitation: river modules cannot be treated as a closed conduit and connectivity between rivers and their surroundings needs to be investigated because of their ability to trigger complicated. Guan | The application of spectral analysis on hyporheic exchange models
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