Re-scaling river flow direction data from local to continental scales

Martz, Lawrence W., Pietroniro, Alain, Shaw, Dean A., Armstrong, Robert N., Laing, Boyd and Lacroix, Martin (2008). Re-scaling river flow direction data from local to continental scales. In Ming-ko Woo (Ed.), Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: Volume 2: Hydrologic Processes (pp. 371-396) Berlin, Germany: Springer. doi:10.1007/978-3-540-75136-6_20


Author Martz, Lawrence W.
Pietroniro, Alain
Shaw, Dean A.
Armstrong, Robert N.
Laing, Boyd
Lacroix, Martin
Title of chapter Re-scaling river flow direction data from local to continental scales
Title of book Cold Region Atmospheric and Hydrologic Studies. The Mackenzie GEWEX Experience: Volume 2: Hydrologic Processes
Place of Publication Berlin, Germany
Publisher Springer
Publication Year 2008
Sub-type Research book chapter (original research)
DOI 10.1007/978-3-540-75136-6_20
ISBN 9783540751366
Editor Ming-ko Woo
Volume number 2
Chapter number 20
Start page 371
End page 396
Total pages 26
Total chapters 25
Abstract/Summary This paper evaluates methods for aggregating detailed flow pattern data extracted from DEM to larger spatial units suitable for representing the hydraulic and routing characteristics of large basins such as the Mackenzie. Five approaches to up-scaling flow data are discussed: simple averaging of DEM elevation data to coarser resolution, drainage enforcement that minimizes impact on the DEM outside the drainage network area, subdivision of drainage basins at various scales while the DEM resolution is held constant, vector averaging of sub-grid flow directions from a higher resolution DEM and a quasi-expert system approach based on the W A TFLOOD parameterization scheme. Simple averaging has a profound impact on basin boundaries and flow patterns and cannot be used to generalize flow pattern data reliably. An objective approach based on vector addition is mathematically appropriate and effective in preserving the essential features ofthe sub-grid flow patterns. A quasi expert system approach developed by the automation of the W ATFLOOD manual method of topographic parameterization is shown to be the superior approach to rescaling flow data for macro or regional scale hydrologic modeling.
Q-Index Code B1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Book Chapter
Collection: Queensland Alliance for Agriculture and Food Innovation
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Thu, 09 Jun 2016, 12:01:17 EST by Robert Armstrong on behalf of Centre for Plant Science