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| Titel |
An effective depression filling algorithm for DEM-based 2-D surface flow modelling |
| VerfasserIn |
D. Zhu, Q. Ren, Y. Xuan, Y. Chen, I. D. Cluckie |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 2 ; Nr. 17, no. 2 (2013-02-06), S.495-505 |
| Datensatznummer |
250017705
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| Publikation (Nr.) |
 copernicus.org/hess-17-495-2013.pdf |
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| Zusammenfassung |
| The surface runoff process in fluvial/pluvial flood modelling is often
simulated employing a two-dimensional (2-D) diffusive wave approximation
described by grid based digital elevation models (DEMs). However, this
approach may cause potential problems when using the 2-D surface flow model
which exchanges flows through adjacent cells, with conventional sink removal
algorithms which also allow for flow exchange along diagonal directions, due
to the existence of artificial depression in DEMs. In this paper, we propose
an effective method for filling artificial depressions in DEM so that the
problem can be addressed. We firstly analyse two types of depressions in
DEMs and demonstrate the issues caused by the current depression filling
algorithms using the surface flow simulations from the MIKE SHE model built
for a medium-sized basin in Southeast England. The proposed
depression-filling algorithm for 2-D overland flow modelling is applied and
evaluated by comparing the simulated flows at the outlet of the catchment
represented by DEMs at various resolutions (50 m, 100 m and 200 m). The
results suggest that the existence of depressions in DEMs can substantially
influence the overland flow estimation and the new depression filling
algorithm is shown to be effective in tackling this issue based upon the
comparison of simulations for sink-dominated and sink-free DEMs, especially
in the areas with relatively flat topography. |
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