Prediction of peak flows for culvert design on small watersheds in Oregon Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/td96k520v

Descriptions

Attribute NameValues
Creator
Abstract or Summary
  • Forest engineers must frequently make flood frequency estimates for very small watersheds when designing culvert installations. Empirical formulae and simplified rainfall runoff models, the most commonly used techniques to predict floods from very small watersheds, require considerable engineering judgement to give reasonable results. As an alternative to such methods, this study presents equations to predict peak flows on small watersheds in Oregon. The equations were developed from 80 watersheds ranging in size from 0.21 to 10.60 square miles. Oregon was divided into six physiographic regions based on previous flood frequency studies. In each region, annual peak flow data from gaging stations with more than 20 years of record were analyzed using four flood frequency distributions (Gumbel, two-parameter log-normal, three-parameter log-normal, log Pearson type III). The log Pearson type III distribution was found to be suitable for use in all regions of the state, based on the chi-square goodness of fit test. Flood magnitudes having recurrence intervals of 10, 25, 50, and 100 years were related to physical and climatic indices of drainage basins by multiple regression analysis. Drainage basin area (A) was the most important variable in explaining the variation of flood peaks in all regions. Mean basin elevation (E) and mean annual precipitation (P) were also significantly related to flood peaks in two regions in western Oregon. The following equations to predict the 25-year flood were developed for each physiographic region in Oregon: (1) Willamette region Q₂₅ = 156A·⁸⁰ (2) Coast region Q₂₅ = 6.31A¹⁰¹E·⁵¹ (3) Cascade region Q₂₅ = .O32A⁴⁴P¹·⁹⁷ (4) Rogue-Umpqua region Q₂₅ = l63A·⁷⁷ (5) Blue-Wallowa region Q₂₅ = 67.6A·⁴⁷
Resource Type
Date Available
Date Issued
Degree Level
Degree Name
Degree Field
Degree Grantor
Commencement Year
Academic Affiliation
Non-Academic Affiliation
Subject
Rights Statement
Language
Digitization Specifications
  • Master files scanned at 600 ppi (256 Grayscale) using Capture Perfect 3.0 on a Canon DR-9080C in TIF format. PDF derivative scanned at 300 ppi (256 B+W), using Capture Perfect 3.0, on a Canon DR-9080C. CVista PdfCompressor 3.1 was used for pdf compression and textual OCR.
Replaces
Additional Information
  • description.provenance : Submitted by Anna Opoien (aoscanner@gmail.com) on 2008-09-10T17:19:30Z No. of bitstreams: 1 Campbell, Alan MS.pdf: 464135 bytes, checksum: 293eb273368efda5ebdd4e9968f61d03 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2008-10-09T15:11:00Z (GMT) No. of bitstreams: 1 Campbell, Alan MS.pdf: 464135 bytes, checksum: 293eb273368efda5ebdd4e9968f61d03 (MD5)
  • description.provenance : Approved for entry into archive by Laura Wilson(laura.wilson@oregonstate.edu) on 2008-10-09T15:22:53Z (GMT) No. of bitstreams: 1 Campbell, Alan MS.pdf: 464135 bytes, checksum: 293eb273368efda5ebdd4e9968f61d03 (MD5)
  • description.provenance : Made available in DSpace on 2008-10-09T15:22:54Z (GMT). No. of bitstreams: 1 Campbell, Alan MS.pdf: 464135 bytes, checksum: 293eb273368efda5ebdd4e9968f61d03 (MD5)

Relationships

In Administrative Set:
Last modified: 08/08/2017 Default
Citations:

EndNote | Zotero | Mendeley

Items