Abstract
 Fractal Generation of Artificial Sewer Networks for Hydrologic Simulations Track: Water, Wastewater, and Stormwater Author(s): Indrani Ghosh, Ferdi Hellweger, Todd Fritch Simulating urban hydrology using actual sewer networks can be tedious and even impossible for large areas, especially when considering high spatial resolution requirements of physically based models. Therefore, the rapid generation of artificial networks is of considerable interest, especially for city-scale analyses. Fractals are scale-independent, self-similar geometric shapes, and fractal trees are fractals consisting of a network of connecting lines. Dendritic and "space-filling" fractal trees could be used to generate an artificial urban drainage network, but what are the important properties of the actual network that need to be replicated in the artificial network (shape or area, maximum/average flow path, etc.)? Is the best approach to generate a fractal network that conforms to some coarse-scale features of the actual network via "anchor points?" This paper presents a discussion of these issues, a new public domain ArcGIS/VB application for generating artificial sewer networks, and comparative model simulations using the actual and artificial networks. Indrani Ghosh Northeastern University Civil and Environmental Engineering 400 Snell Engineering Center, 360 Huntington Av. Boston , MA 02115 US Phone: 617-373-2781 E-mail: ighosh@coe.neu.edu Ferdi Hellweger Northeastern University Civil & Environmental Engineering 400 Snell Engineering Center Boston , MA 02115 US Phone: 6173733992 E-mail: ferdi@coe.neu.edu Todd Fritch Northeastern University Earth & Environmental Sciences 14 Holmes Boston , MA 02115 US Phone: 6173733176 E-mail: t.fritch@neu.edu |
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