An integrated raster-tin surface flow algorithm
(2008) Conference on Terrain Analysis and Digital Terrain Modelling, 2006 In Lecture Notes in Geoinformation and Cartography p.237-255- Abstract
In this chapter, an alternative surface flow algorithm is presented. The basic idea behind the algorithm is the use of the advantages of TIN-based algorithms within a raster based environment. A gridded raster DEM is used to create a ‘regular TIN’, over which surface flow is estimated. Since each facet in the TIN has a constant slope and slope direction, the estimations of, for example, flow velocity and diversion/convergence are less complicated compared to traditional ‘cell based’ solutions. The flow is treated as ‘water packages’, given specific (point) positions on the surface. The number of water packages per cell is initially set to eight, but this number can be increased or decreased. After each time step, the water packages have... (More)
In this chapter, an alternative surface flow algorithm is presented. The basic idea behind the algorithm is the use of the advantages of TIN-based algorithms within a raster based environment. A gridded raster DEM is used to create a ‘regular TIN’, over which surface flow is estimated. Since each facet in the TIN has a constant slope and slope direction, the estimations of, for example, flow velocity and diversion/convergence are less complicated compared to traditional ‘cell based’ solutions. The flow is treated as ‘water packages’, given specific (point) positions on the surface. The number of water packages per cell is initially set to eight, but this number can be increased or decreased. After each time step, the water packages have moved a certain distance (depending on slope and water depth), and new water packages have been created due to precipitation. In order to keep the number of water packages constant (to reduce memory and computer time), all water packages within a TIN facet are merged after each iteration. Parameters in time and space, e.g. precipitation, infiltration, vegetation and elevation, can all be loaded into the software.
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- author
- Pilesjö, Petter LU
- organization
- publishing date
- 2008
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- DEM, Hydrological modelling, Surface flow, TIN, Topographical modelling
- host publication
- Lecture Notes in Geoinformation and Cartography
- series title
- Lecture Notes in Geoinformation and Cartography
- editor
- Zhou, Qiming ; Tang, Guo-an and Lees, Brian
- issue
- 199049
- pages
- 19 pages
- publisher
- Springer Science and Business Media B.V.
- conference name
- Conference on Terrain Analysis and Digital Terrain Modelling, 2006
- conference location
- Nanjing, China
- conference dates
- 2006-11-23 - 2006-11-25
- external identifiers
-
- scopus:85032862496
- ISSN
- 1863-2351
- 1863-2246
- ISBN
- 9783540778004
- 9783540777991
- DOI
- 10.1007/978-3-540-77800-4_13
- language
- English
- LU publication?
- yes
- additional info
- Publisher Copyright: © 2008, Springer Berlin Heidelberg. All rights reserved.
- id
- f5ebaa77-f15f-45fb-a10c-dd7d764e56d1
- date added to LUP
- 2022-03-25 13:06:15
- date last changed
- 2024-01-03 09:27:46
@inbook{f5ebaa77-f15f-45fb-a10c-dd7d764e56d1, abstract = {{<p>In this chapter, an alternative surface flow algorithm is presented. The basic idea behind the algorithm is the use of the advantages of TIN-based algorithms within a raster based environment. A gridded raster DEM is used to create a ‘regular TIN’, over which surface flow is estimated. Since each facet in the TIN has a constant slope and slope direction, the estimations of, for example, flow velocity and diversion/convergence are less complicated compared to traditional ‘cell based’ solutions. The flow is treated as ‘water packages’, given specific (point) positions on the surface. The number of water packages per cell is initially set to eight, but this number can be increased or decreased. After each time step, the water packages have moved a certain distance (depending on slope and water depth), and new water packages have been created due to precipitation. In order to keep the number of water packages constant (to reduce memory and computer time), all water packages within a TIN facet are merged after each iteration. Parameters in time and space, e.g. precipitation, infiltration, vegetation and elevation, can all be loaded into the software.</p>}}, author = {{Pilesjö, Petter}}, booktitle = {{Lecture Notes in Geoinformation and Cartography}}, editor = {{Zhou, Qiming and Tang, Guo-an and Lees, Brian}}, isbn = {{9783540778004}}, issn = {{1863-2351}}, keywords = {{DEM; Hydrological modelling; Surface flow; TIN; Topographical modelling}}, language = {{eng}}, number = {{199049}}, pages = {{237--255}}, publisher = {{Springer Science and Business Media B.V.}}, series = {{Lecture Notes in Geoinformation and Cartography}}, title = {{An integrated raster-tin surface flow algorithm}}, url = {{http://dx.doi.org/10.1007/978-3-540-77800-4_13}}, doi = {{10.1007/978-3-540-77800-4_13}}, year = {{2008}}, }