The optimization of high resolution topographic data for 1D hydrodynamic models

The main focus of our research presented in this paper is to optimize and use high resolution topographical data (HRTD) for hydrological modelling. Optimization of HRTD is done by generating adaptive mesh by measuring distance of coarse mesh and the surface of the dataset and adapting the mesh from...

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Bibliographic Details
Main Authors: Ales, Ronovsky, Michal, Podhoranyi
Format: Conference Proceeding
Language:English
Subjects:
ACCURACY
CALCULATION METHODS
CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS
COMPARATIVE EVALUATIONS
CROSS SECTIONS
Finite element method
High resolution
HYDRODYNAMIC MODEL
Hydrologic models
Hydrology
Lidar
Mesh generation
ONE-DIMENSIONAL CALCULATIONS
OPTICAL RADAR
OPTIMIZATION
PRESERVATION
RESOLUTION
SIMULATION
Statistical methods
SURFACES
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Summary:The main focus of our research presented in this paper is to optimize and use high resolution topographical data (HRTD) for hydrological modelling. Optimization of HRTD is done by generating adaptive mesh by measuring distance of coarse mesh and the surface of the dataset and adapting the mesh from the perspective of keeping the geometry as close to initial resolution as possible. Technique described in this paper enables computation of very accurate 1-D hydrodynamic models. In the paper, we use HEC-RAS software as a solver. For comparison, we have chosen the amount of generated cells/grid elements (in whole discretization domain and selected cross sections) with respect to preservation of the accuracy of the computational domain. Generation of the mesh for hydrodynamic modelling is strongly reliant on domain size and domain resolution. Topographical dataset used in this paper was created using LiDAR method and it captures 5.9km long section of a catchment of the river Olše. We studied crucial changes in topography for generated mesh. Assessment was done by commonly used statistical and visualization methods.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.4952144