TECHNICAL PAPERS
Jun 15, 2004

Generation of Triangulated Irregular Networks Based on Hydrological Similarity

Publication: Journal of Hydrologic Engineering
Volume 9, Issue 4

Abstract

Distributed hydrologic models typically incorporate topographic data through the use of raster-based digital elevation models. The resampling of high-resolution grid data required to effectively use distributed models, however, can result in the distortion of terrain and hydrographic properties. In this study, we present a geographic information system approach for deriving multiple resolution meshes that conserve physiographic features while significantly reducing the number of computational nodes in a distributed hydrologic model. We utilize triangulated irregular networks (TINs) which serve to integrate information on the surface topography, hydrographic features and land surface characteristics into an adaptive representation of a basin. We discuss three approaches for constructing TIN models for hydrologic applications: (1) Traditional, (2) hydrographic and (3) hydrological similarity TINs. We focus on the generation of triangulated terrain models using the concept of hydrological similarity provided through a topographic or wetness index. This new method embeds an estimate of the steady-state hydrologic response directly into the basin terrain model. Through a series of case studies, we demonstrate the advantages of the multiple resolution approaches over a range of terrain characteristics, basin scales and elevation data products. Finally, we discuss the implications of TIN terrain representation for watershed simulation with the TIN-based Real-Time Integrated Basin Simulator model.

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Go to Journal of Hydrologic Engineering
Journal of Hydrologic Engineering
Volume 9Issue 4July 2004
Pages: 288 - 302

History

Received: Sep 4, 2002
Accepted: Mar 19, 2003
Published online: Jun 15, 2004
Published in print: Jul 2004

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Authors

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Enrique R. Vivoni
Assistant Professor of Hydrology, Dept. of Earth and Environmental Science, New Mexico Inst. of Mining and Technology, 801 Leroy Place, MSEC 244, Socorro, NM 87801.
Valeri Y. Ivanov
Graduate Research Assistant, Dept. of Civil and Environmental Engineering, Massachusetts Inst. of Technology, 77 Massachusetts Ave., Room 48-212, Cambridge, MA 02139.
Rafael L. Bras
Professor, Dept. of Civil and Environmental Engineering, Massachusetts Inst. of Technology, 77 Massachusetts Ave., Room 48-211, Cambridge, MA 02139.
Dara Entekhabi
Professor, Dept. of Civil and Environmental Engineering, Massachusetts Inst. of Technology, 77 Massachusetts Ave., Room 48-331, Cambridge, MA 02139.

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