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Automated riverine landscape characterization: GIS-based tools for watershed-scale research, assessment, and management
Authors:Bradley S Williams  Ellen D’Amico  Jude H Kastens  James H Thorp  Joseph E Flotemersch  Martin C Thoms
Institution:1. Kansas Biological Survey, Higuchi Hall, University of Kansas, 2101 Constant Avenue, Lawrence, KS, 66047, USA
2. Department of Ecology and Evolutionary Biology, University of Kansas, Lawrence, KS, USA
3. Dynamac Corporation, c/o U.S. Environmental Protection Agency, Cincinnati, OH, 45220, USA
4. U.S. Environmental Protection Agency, National Exposure Research Laboratory, Cincinnati, OH, 45220, USA
5. School of Behavioural, Cognitive and Social Sciences, The University of New England, Armidale, NSW, 2351, Australia
Abstract:River systems consist of hydrogeomorphic patches (HPs) that emerge at multiple spatiotemporal scales. Functional process zones (FPZs) are HPs that exist at the river valley scale and are important strata for framing whole-watershed research questions and management plans. Hierarchical classification procedures aid in HP identification by grouping sections of river based on their hydrogeomorphic character; however, collecting data required for such procedures with field-based methods is often impractical. We developed a set of GIS-based tools that facilitate rapid, low cost riverine landscape characterization and FPZ classification. Our tools, termed RESonate, consist of a custom toolbox designed for ESRI ArcGIS®. RESonate automatically extracts 13 hydrogeomorphic variables from readily available geospatial datasets and datasets derived from modeling procedures. An advanced 2D flood model, FLDPLN, designed for MATLAB® is used to determine valley morphology by systematically flooding river networks. When used in conjunction with other modeling procedures, RESonate and FLDPLN can assess the character of large river networks quickly and at very low costs. Here we describe tool and model functions in addition to their benefits, limitations, and applications.
Keywords:
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