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ARS Home » Southeast Area » Oxford, Mississippi » National Sedimentation Laboratory » Watershed Physical Processes Research » Research » Publications at this Location » Publication #394560

Research Project: Computational Tools and a Decision Support System for Management of Sediment and Water Quality in Agricultural Watersheds

Location: Watershed Physical Processes Research

Title: Channel network identification using water-merging algorithm

item ZHANG, YAOXIN - University Of Mississippi
item JIA, YAFEI - University Of Mississippi

Submitted to: Environmental and Water Resources Institute World Congress Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 9/22/2021
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: This study presents a simple and effective macro scale algorithm to identify channel networks automatically from DEM (Digital Elevation Model). The proposed watershed-merging algorithm is based on the observation that the channel network identification is equivalent to the watershed identification. Distinguished from other methods on treating the flat and depression areas, the proposed algorithm is using a more intuitive but conceptually clearer way to resolve the discontinuities caused by the depression and flat areas. That is, dynamically and iteratively merge small neighboring sub-watersheds into larger watersheds. According to the demonstrations of examples and applications, the proposed algorithm has turned out to be effective in identifying channel networks and easy to implement.