Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
11032443 | Environmental Modelling & Software | 2018 | 31 Pages |
Abstract
In this paper we propose an algorithm for retrieving an arbitrary watershed boundary from a 2D Flow Direction Grid. The proposed algorithm and associated data model provides geometric speed increases in watershed boundary retrieval while keeping storage constraints linear in comparison to existing techniques. The algorithm called Watershed Marching Algorithm (WMA) relies on an existing data structure, the modified nested set model, originally described by Celko and applied to hydrodynamic models by Haag and Shokoufandeh in 2017. In contrast to existing algorithms that scale proportionally to the area of the underlying region, the complexity of the WMA algorithm is proportional to the boundary length. Results for a group of tested watersheds (nâ¯=â¯14,718) in the â 36,000â¯km2 Delaware River Watershed show a reduction of between 0 and 99% in computational complexity using a 30â¯m DEM vs. existing techniques.
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Physical Sciences and Engineering
Computer Science
Software
Authors
Scott Haag, Bahareh Shakibajahromi, Ali Shokoufandeh,