Chapter
Apr 26, 2012

Channel Morphology Tool (CMT): A GIS-Based Automated Extraction Model for Channel Geometry

Publication: World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat

Abstract

This paper describes an automated Channel Morphology Tool (CMT) developed in ArcGIS 9.1 environment. The CMT creates cross-sections along a stream centerline and uses a digital elevation model (DEM) to create station points with elevations along each of the cross-sections. The generated cross-sections may then be exported into a hydraulic model. Along with the rapid cross-section generation the CMT also eliminates any cross-section overlaps that might occur due to the sinuosity of the channels using the Cross-section Overlap Correction Algorithm (COCoA). The CMT was tested by extracting cross-sections from a 5-m DEM for a 50-km channel length in Houston, Texas. The extracted cross-sections were compared directly with surveyed cross-sections in terms of the cross-section area. Results indicated that the CMT-generated cross-sections satisfactorily matched the surveyed data.

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Go to World Environmental and Water Resources Congress 2007
World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat
Pages: 1 - 8

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Published online: Apr 26, 2012

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A. Kalyanapu [email protected]
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112;. E-mail: [email protected]
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112 and Systems Engineering and Integration, Decisions Applications Division, Los Alamos National Laboratory, MS F607, Los Alamos National Laboratory, Los Alamos NM 87545. E-mail: [email protected]
Department of Civil and Environmental Engineering, University of Utah, 122 S. Central Campus Drive, Suite 104, Salt Lake City, UT 84112. E-mail: [email protected]
B. Hodge
Systems Engineering and Integration, Decisions Applications Division, Los Alamos National Laboratory, MS F607, Los Alamos National Laboratory, Los Alamos NM 87545
A. Berscheid [email protected]
Systems Engineering and Integration, Decisions Applications Division, Los Alamos National Laboratory, MS F607, Los Alamos National Laboratory, Los Alamos NM 87545. E-mail: [email protected]
T. McPherson [email protected]
Systems Engineering and Integration, Decisions Applications Division, Los Alamos National Laboratory, MS F607, Los Alamos National Laboratory, Los Alamos NM 87545. E-mail: [email protected]

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