Development and Comparison of Multiple Regression Models to Predict Bankfull Channel Dimensions for Use in Hydrologic Models1. (23rd September 2016)
- Record Type:
- Journal Article
- Title:
- Development and Comparison of Multiple Regression Models to Predict Bankfull Channel Dimensions for Use in Hydrologic Models1. (23rd September 2016)
- Main Title:
- Development and Comparison of Multiple Regression Models to Predict Bankfull Channel Dimensions for Use in Hydrologic Models1
- Authors:
- Bieger, Katrin
Rathjens, Hendrik
Arnold, Jeffrey G.
Chaubey, Indrajeet
Allen, Peter M. - Abstract:
- Abstract: Channel dimensions are important input variables for many hydrologic models. As measurements of channel geometry are not available in most watersheds, they are often predicted using bankfull hydraulic geometry relationships. This study aims at improving existing equations that relate bankfull width, depth, and cross‐sectional area to drainage area (DA) without limiting their use to well‐gauged watersheds. We included seven additional variables in the equations that can be derived from data that are generally required by hydrologic models anyway and conducted several multiple regression analyses to identify the ideal combination of additional variables for nationwide and regional models for each Physiographic Division of the United States (U.S.). Results indicate that including the additional variables in the regression equations generally improves predictions considerably. The selection of relevant variables varies by Physiographic Division, but average annual precipitation (PCP) and temperature (TMP) were generally found to improve the models the most. Therefore, we recommend using regression equations with three independent variables (DA, PCP, and TMP) to predict bankfull channel dimensions for hydrologic models. Furthermore, we recommend using the regional equations for watersheds within regions from which data were used for model development, whereas in all other parts of the U.S. and the rest of the world, the nationwide equations should be given preference.
- Is Part Of:
- Journal of the American Water Resources Association. Volume 52:Number 6(2016:Dec.)
- Journal:
- Journal of the American Water Resources Association
- Issue:
- Volume 52:Number 6(2016:Dec.)
- Issue Display:
- Volume 52, Issue 6 (2016)
- Year:
- 2016
- Volume:
- 52
- Issue:
- 6
- Issue Sort Value:
- 2016-0052-0006-0000
- Page Start:
- 1385
- Page End:
- 1400
- Publication Date:
- 2016-09-23
- Subjects:
- rivers/streams -- watersheds -- geomorphology -- channel geometry -- multiple regression -- nationwide and regional models -- hydrologic modeling
Water-supply -- Periodicals
Hydrology -- Periodicals
Water resources development -- Periodicals
Water resources development -- Environmental aspects -- Periodicals
333.9100973 - Journal URLs:
- http://www3.interscience.wiley.com/journal/118544603/home ↗
http://www.blackwellpublishing.com/journal.asp?ref=1093-474X&site=1 ↗
http://www.ingentaconnect.com/content/bpl/jawr ↗
http://onlinelibrary.wiley.com/ ↗
http://www.awra.org/jawra/index.html ↗ - DOI:
- 10.1111/1752-1688.12460 ↗
- Languages:
- English
- ISSNs:
- 1093-474X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4695.900000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 1467.xml