Watershed

Oral

395389 - A New Approach for Generating Flow Directions in Urban Watersheds

Monday, June 4
4:00 PM - 5:30 PM
Location: Greenway IJ
Co-Authors: David Maidment, Austin, Texas – The University of Texas at Austin; Ben Hodges, Austin, Texas – The University of Texas at Austin

Flow directions are important because they may be used to create flow accumulation grids, from which flow paths may be derived. These parameters are requisite in terrain-based flood mapping methods. Prior algorithms of flow direction generation are based in digital elevation models alone. Implicit in these methods is the assumption that elevation is the sole determinant in flow directions. Such assumption may not be valid in complex landscapes such as in urban areas, where flow directions may be better described by the two-dimensional shallow water equations. A new approach for generating flow directions is therefore described. In the proposed approach, flow directions were derived using a hyper-resolution, hydrodynamic flood simulation instead of digital elevation models alone. With a city block in Austin, Texas as a test case, results were compared to the widely used D∞ algorithm. It was concluded that elevation difference still greatly affects flow paths; nevertheless, flow is still a complex phenomenon in an urban landscape. The result therefore supports continued application of terrain-based models in flood inundation mapping but suggests that the use of hydrodynamic models is a more robust procedure in generating flow directions and flow paths than previous methods and deserves consideration for future research.

Jonathan David D. Lasco, MS

Graduate Research Assistant
The University of Texas At Austin

Jonathan David Lasco is a doctoral candidate at the University of Texas at Austin. His current research include modeling pressure transients, analyzing pressure data, and analyzing acoustic data from water pipes. Previously, he earned his BS in Civil Engineering from the University of the Philippines Los Banos, where he also served as an instructor for two years. In 2017, he finished his MS degree, also at UT Austin, writing a thesis on hyper-resolution hydrodynamic modeling of the city of Austin, Texas.

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