Time-Adaptive Grid Hydrological Solver Using PETSc

Master thesis (2020)

Authors

M.S. Babu Gheethaa Electrical Engineering, Mathematics and Computer Science

Contributors

D.J.P. Lahaye Mathematical Physics - EEMCS (mentor)
M. Moller Numerical Analysis - EEMCS (mentor)
M. Möller Numerical Analysis - EEMCS (mentor)
Matthias Möller Numerical Analysis - EEMCS (mentor)
Matthias Moller Numerical Analysis - EEMCS (mentor)
Chris Budd University of Bath (mentor)
Eelco Naarding (mentor)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
Copyright: © 2020 Mukkund Babu Gheethaa
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Published Date

16-07-2020

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

A high-resolution hydrological solver that solves on time-adaptive grids is created. The solver uses h-refinement strategies which adapts the resolution of the grid using a posteriori measure. It is based on an open-source scientific computing library named PETSc. With the use of highly scalable time-stepping solvers provided by PETSc, an optimised numerical model is obtained. Validation tests are conducted using dam-break scenarios and flow over humps. Strong scaling tests are conducted to test the scalability of the solver. The model is found to be robust and could thus provide accurate flood-forecasting information.

Files

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