GIS-Based Channel Extraction and Smoothing Algorithm for Distributed Hydrologic Modelingby Fred L. Ogden, (A.M.ASCE), Univ of Iowa, Iowa City, United States,
Bahram Saghafian, Univ of Iowa, Iowa City, United States,
Witold F. Krajewski, Univ of Iowa, Iowa City, United States,
Abstract: An algorithm is developed to extract dendritic channel networks from Digital Elevation Model (DEM) data. This algorithm, in conjunction with the GRASS Geographic Information System (GIS), locates the entire stream network and smooths longitudinal channel profiles between user specified points. The algorithm also imposes Strahler stream order and NODE/LINK numbering conventions suitable for Priessmann double-sweep routing. Algorithm performance is compared against channel profiles on the 130.0 km long Bird Creek near Tulsa, Oklahoma. The method holds promise for automated channel network extraction for distributed hydrologic models on large watersheds.
Subject Headings: Hydrologic models | Algorithms | Hydraulic models | Geographic information systems | Information systems | Data processing | Computer models | Terrain models | North America | Oklahoma | United States
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