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Arc River: A Multidimensional Spatio-Temporal Representation of Riverine Morphologic and Hydrodynamic Features Using a GIS-Based Data Model

Author(s): Dongsu Kim; Marian Muste

Linked Author(s): Dongsu Kim, Marian Muste

Keywords: No Keywords

Abstract: The main objective of this paper is to introduce a customized GIS-based data model enabling storage, analysis and visualization of multidimensional morphohydrodynamic riverine objects and their behavior in the Geographic Information System for supporting a better understanding of complex river processes and the decision making in riverine environment. The data model, labeled Arc River, accommodates field measurements and numerical simulation results rendered in 3-dimensional space and has capabilities to track morpho-dynamic processes in time using Eulerian or Lagragian approaches. Rather than presenting the model foundations, the paper introduces its practical aspects. Specifically, there are presented the model capabilities to: 1) accommodate scalar and vector information (e.g., velocity, stress, and flux) in multi dimensional components; 2) express the information in a curvilinear river-attached coordinate system in order to support various river applications such as networkbased analysis; 3) handle three-dimensional geographic feature types such as point, line, polygon, and volume for realistic representation of the river features; 4) extend the existing one-dimensional representation of the river network (e.g., HydroNetwork in the Arc Hydro data model or NHD Plus) to the multidimensional representation of the hydrodynamic and morphologic river features; 5) accommodate gridded data generated by numerical simulation results (direct or spatially interpolated data); and, 6) capture in space and time moving river objects that can be themselves bounded by rigid or changing boundaries in order be able to represent single or multiple events in Eulerian or Lagrangian frameworks.

DOI:

Year: 2009

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