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Using a novel flood prediction model and GIS automation to measure the valley and channel morphology of large river networks
Citation:
Williams, B. S., J. H. Kastens, J. H. Thorp, E. D'Amico, AND J. E. FLOTEMERSCH. Using a novel flood prediction model and GIS automation to measure the valley and channel morphology of large river networks. Presented at ESRI International User Conference, San Diego, CA, July 13 - 17, 2009.
Impact/Purpose:
The goal of this research is to develop methods and indicators that are useful for evaluating the condition of aquatic communities, for assessing the restoration of aquatic communities in response to mitigation and best management practices, and for determining the exposure of aquatic communities to different classes of stressors (i.e., pesticides, sedimentation, habitat alteration).
Description:
Traditional methods for measuring river valley and channel morphology require intensive ground-based surveys which are often expensive, time consuming, and logistically difficult to implement. The number of surveys required to assess the hydrogeomorphic structure of large river networks makes robust sampling both cost- and manpower-prohibitive. We developed a series of accurate, low-cost geographic information systems-based alternatives that enable a single technician to assess the valley and channel characteristics of vast river networks using free, readily available data sources. A combination of GIS automation and novel modeling approaches enabled the rapid assessment of valley morphology and channel morphology for on-going hydrogeomorphic assessments of the Kansas, Kanawaha and Delaware River catchments.