Prediction of monthly streamflows for Oregon coastal basins using physiographic and meteorological parameters Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/7s75dg37v

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Prediction equations were developed for estimating the flow regime at ungaged stream locations in the Oregon coastal range. Principal components analysis was used to screen the initial data set of physiographic and meteorological parameters. The final regression equations for predicting mean monthly flow had standard errors of estimate ranging from 3 to 42 percent, with an average standard error of 13.5 percent. A linear prediction equation was found to give the best results for drainage basins larger than 150 square miles, while a logarithmic equation gave best results for basins of less than 150 square miles in area. A simple linear relationship was also established between mean monthly flow and the standard deviation of monthly flow. A test on an independent sample indicated that the monthly estimates of standard deviation made using the simple linear relations were comparable to those reported by others using equations containing physiographic and meteorological parameters. Equations were also developed to forecast monthly streamflow for Oregon coastal streams. When observed rainfall for the current month was used, the average standard error of the forecast equations was 18 percent. The use of the National Weather Service's 30-day precipitation outlooks in forecasting monthly streamflow was also investigated. The results showed that the forecasts based upon the 30-day outlook precipitation were worse than those based upon median historical precipitation. It was suggested that the monthly streamflow forecast equations could best be applied on a probability basis.
Resource Type
Date Available
Date Copyright
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Advisor
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Peer Reviewed
Language
Digitization Specifications
  • File scanned at 300 ppi (Monochrome) using Capture Perfect 3.0 on a Canon DR-9050C in PDF format. CVista PdfCompressor 4.0 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Made available in DSpace on 2012-11-27T19:12:53Z (GMT). No. of bitstreams: 1 OrwigCharlesEdwin1974.pdf: 4102807 bytes, checksum: ee40dedf7e2b1d08fba6b8350b631977 (MD5) Previous issue date: 1973-07-13
  • description.provenance : Submitted by Kirsten Clark (kcscannerosu@gmail.com) on 2012-11-26T18:26:31Z No. of bitstreams: 1 OrwigCharlesEdwin1974.pdf: 4102807 bytes, checksum: ee40dedf7e2b1d08fba6b8350b631977 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-11-26T20:54:31Z (GMT) No. of bitstreams: 1 OrwigCharlesEdwin1974.pdf: 4102807 bytes, checksum: ee40dedf7e2b1d08fba6b8350b631977 (MD5)
  • description.provenance : Approved for entry into archive by Patricia Black(patricia.black@oregonstate.edu) on 2012-11-27T19:12:53Z (GMT) No. of bitstreams: 1 OrwigCharlesEdwin1974.pdf: 4102807 bytes, checksum: ee40dedf7e2b1d08fba6b8350b631977 (MD5)

Relationships

In Administrative Set:
Last modified: 08/16/2017

Downloadable Content

Download PDF
Citations:

EndNote | Zotero | Mendeley

Items