DocumentCode
3446486
Title
Building Topological Flow-path Networks based on scale-adaptive DEM
Author
Yumin Chen ; Xiaomei Bi ; Yajuan Li ; Qiao Wan
Author_Institution
Sch. of Resource & Environ. Sci., Wuhan Univ., Wuhan, China
fYear
2013
fDate
20-22 June 2013
Firstpage
1
Lastpage
5
Abstract
In this study, we propose to simulate the dynamics of surface flow using a Topological Flow-path Network model (TFN) based on scale-adaptive DEMs (S-DEMs). This model makes full use of the high accuracy DEM data to extract topographical and hydrological characteristics from the terrain surface. It also assigns these characteristics with scale properties, thus building a stream-network-bounded scale-adaptive DEM system. For each DEM, a triangulated irregular network (TIN) surface is established and flow direction is calculated for each triangular facet in the TIN, building the flow paths from any location in the DEM to the basin outlet, such that a three-dimensional terrain expression is simplified to a one dimension topology flow structure. For each flow path, hydrological variables, such as flow velocity and volume, are computed using classic hydrological formula to support cross-scale simulation of the surface water dynamics.
Keywords
digital elevation models; hydrology; topology; S-DEM; TFN; TIN surface; cross-scale simulation; hydrological characteristics; one dimension topology flow structure; scale-adaptive DEM; stream-network-bounded scale-adaptive DEM system; surface water dynamics; terrain surface; three-dimensional terrain expression; topographical and hydrological characteristics; topological flow-path networks; triangulated irregular network surface; Computational modeling; Data models; Digital TV; Feature extraction; Mathematical model; Surface topography; Tin; DEM; dynamic simulation; scale-adaptive; terrain analysis; topological flow-path network model;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
Conference_Location
Kaifeng
ISSN
2161-024X
Type
conf
DOI
10.1109/Geoinformatics.2013.6626134
Filename
6626134
Link To Document