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A new triangular multiple flow direction algorithm for computing upslope areas from gridded digital elevation models
Open accessAbstract
Gridded digital elevation data, often referred to as DEMs, are one of the most widely available forms of environmental data. Topographic analysis of DEMs can take many forms, but in hydrologic and geomorphologic applications it is typically used as a surrogate for the spatial variation of hydrological conditions (topographic indices) and flow routing. Here we report on a new flow routing algorithm and compare it to three common classes of algorithms currently in widespread use. The advantage of the new algorithm is that unrealistic dispersion on planar or concave hillslopes is avoided, whereas multiple flow directions are allowed on convex hillslopes. We suggest that this new triangular multiple flow direction algorithm (MD∞) is more appropriate for a range of flow routing and topographic index applications.
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Using the USLE: Chances, challenges and limitations of soil erosion modelling
Alewell, C., Borrelli, P., Meusburger, K., & Panagos, P. (2019) · International Soil and Water Conservation Research · doi:10.1016/j.iswcr.2019.05.004 · Cited by 804
TWI computation: a comparison of different open source GISs
Mattivi, P., Franci, F., Lambertini, A., & Bitelli, G. (2019) · Open Geospatial Data, Software and Standards · doi:10.1186/s40965-019-0066-y · Cited by 151
Spatial analysis of urban flooding and extreme heat hazard potential in Portland, OR
Fahy, B., Brenneman, E., Chang, H., & Shandas, V. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101117 · Cited by 80
Metadata
- Authors
- Seibert, J., & McGlynn, B. L.
- Venue
- Water Resources Research
- Publisher
- American Geophysical Union (AGU)
- Published
- 2007-04
- Volume
- 43
- Issue
- 4
- ISSN
- 0043-1397 (ISSN-L)
- 1944-7973
- OpenAlex
- W1529043441
- Cited by
- 377
- References
- 13
- FWCI
- 21.57
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
