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Wavelet-based local mesh refinement for rainfall–runoff simulations

  • A wavelet-based local mesh refinement (wLMR) strategy is designed to generate multiresolution and unstructured triangular meshes from real digital elevation model (DEM) data for efficient hydrological simulations at the catchment scale. The wLMR strategy is studied considering slope- and curvature-based refinement criteria to analyze DEM inputs: the slope-based criterion uses bed elevation data as input to the wLMR strategy, whereas the curvature-based criterion feeds the bed slope data into it. The performance of the wLMR meshes generated by these two criteria is compared for hydrological simulations; first, using three analytical tests with the systematic variation in topography types and then by reproducing laboratory- and real-scale case studies. The bed elevation on the wLMR meshes and their simulation results are compared relative to those achieved on the finest uniform mesh. Analytical tests show that the slope- and curvature-based criteria are equally effective with the wLMR strategy, and that it is easier to decide whichA wavelet-based local mesh refinement (wLMR) strategy is designed to generate multiresolution and unstructured triangular meshes from real digital elevation model (DEM) data for efficient hydrological simulations at the catchment scale. The wLMR strategy is studied considering slope- and curvature-based refinement criteria to analyze DEM inputs: the slope-based criterion uses bed elevation data as input to the wLMR strategy, whereas the curvature-based criterion feeds the bed slope data into it. The performance of the wLMR meshes generated by these two criteria is compared for hydrological simulations; first, using three analytical tests with the systematic variation in topography types and then by reproducing laboratory- and real-scale case studies. The bed elevation on the wLMR meshes and their simulation results are compared relative to those achieved on the finest uniform mesh. Analytical tests show that the slope- and curvature-based criteria are equally effective with the wLMR strategy, and that it is easier to decide which criterion to take in relation to the (regular) shape of the topography. For the realistic case studies: (i) slope analysis provides a better metric to assess the correlation of a wLMR mesh to the fine uniform mesh and (ii) both criteria predict outlet hydrographs with a close predictive accuracy to that on the uniform mesh, but the curvature-based criterion is found to slightly better capture the channeling patterns of real DEM data.show moreshow less

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Metadaten
Author: Ilhan Özgen-Xian, Georges Kesserwani, Daniel Caviedes-VoullièmeORCiD, Sergi Molins, Zexuan Xu, Dipankar Dwivedi, J. David Moulton, Carl I. Steefel
DOI:https://doi.org/10.2166/hydro.2020.198
ISSN:1464-7141
ISSN:1465-1734
Title of the source (English):Journal of Hydroinformatics
Document Type:Scientific journal article peer-reviewed
Language:English
Year of publication:2020
Tag:diffusion-wave hydrological modeling; multiresolution triangular mesh generation; overland flow at catchment scale; slope- vs. curvature-based topographic inputs; wavelet-based local mesh refinement
Volume/Year:22
Issue number:5
First Page:1059
Last Page:1077
Faculty/Chair:Fakultät 2 Umwelt und Naturwissenschaften / FG Hydrologie
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