4.6 Article

Revealing the natural complexity of fluvial morphology through 2D hydrodynamic delineation of river landforms

期刊

GEOMORPHOLOGY
卷 210, 期 -, 页码 14-22

出版社

ELSEVIER
DOI: 10.1016/j.geomorph.2013.12.013

关键词

Morphological units; Fluvial landforms; Fluvial geomorphology; 2D modeling

资金

  1. lower Yuba River (LYR)
  2. South Yuba River (SYR)
  3. Yuba County Water Agency
  4. Instream Flow Assessment Program
  5. Public Interest Energy Research Program of the California Energy Commission

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Fluvial landforms at the morphological-unit scale (similar to 1-10 channel widths) are typically delineated and mapped either by breaking up the one-dimensional longitudinal profile with no accounting of lateral variations or by manually classifying surface water patterns and two-dimensional areal extents in situ or with aerial imagery. Mapping errors arise from user subjectivity, varying surface water patterns when the same area is observed at different discharges and viewpoints, and difficulty in creating a complete map with no gaps or overlaps in delineated polygons. This study presents a new theory for delineating and mapping channel landforms at the morphological-unit scale that eliminates in-field subjective decision making, adds full transparency for map users, and enables future systemic alterations without having to remap in the field. Delineation is accomplished through a few basic steps. First, near-census topographic and bathymetric data are used in a two-dimensional hydrodynamic model to create meter-scale depth and velocity rasters for a representative base flow. Second, expert judgment and local knowledge determine the number and nomenclature of landform types as well as the range of base flow depth and velocity over each type. This step does require subjectivity, but it is transparent and adjustable at any time. Third, the hydraulic landform classification is applied to hydraulic rasters to quickly, completely, and objectively map the planform pattern of laterally explicit landforms. Application of this theory will reveal the true natural complexity, yet systematic organization, of channel morphology. (C) 2013 Elsevier B.V. All rights reserved.

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