Journal article
Development of a data model to facilitate rapid watershed delineation
Environmental modelling & software : with environment data news, v 122, 103973
Dec 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
An efficient model to store and retrieve watershed boundaries using graph-theoretic approaches is proposed. Our approach utilizes three algorithms and accepts as input standard Digital Elevation Model DEM derived flow direction grids (D8) or stream reach catchment boundaries and outputs derived watershed boundaries. This technique was applied to the ≈ 36,000 km2 Delaware River Watershed using the National Hydrography Plus Version 2 Dataset. This technique is showed to provide significant reductions in processing (98–99%), storage (81–82%), and retrieval complexity (95–96%) for polygons and (80–86%) for nodes when compared to existing and hypothetical data models that are used to create watershed boundaries.
•A data model to allow the creation of watersheds for any location is proposed.•This technique reduces the processing by ~99%, storage by ~82%, and retrieval by ~96% for polygons and by ~86% for nodes.•The proposed data model provides equivalent results to existing functions (eg TAUDEM's gauge watershed).•The proposed model can be created in linear time as a function of the flow direction grid or polygonal catchment boundaries.
Metrics
Details
- Title
- Development of a data model to facilitate rapid watershed delineation
- Creators
- Scott Haag - Drexel UniversityAli Shokoufandeh - Drexel University
- Publication Details
- Environmental modelling & software : with environment data news, v 122, 103973
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science
- Web of Science ID
- WOS:000498063900031
- Scopus ID
- 2-s2.0-85025084116
- Other Identifier
- 991019168002404721
UN Sustainable Development Goals (SDGs)
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Source: SDGs in the Output
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Environmental
- Environmental Sciences
- Water Resources