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Regional regression equations to estimate peak-flow frequency at sites in North Dakota using data through 2009

Scientific Investigations Report 2015-5096
Prepared in cooperation with the North Dakota State Water Commision, the North Dakota Department of Transportation, the North Dakota Department of Health, the Red River Joint Water Resources Board, and the Devils Lake Basin Joint Water Resource Board
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https://doi.org/10.3133/sir20155096

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Abstract

Annual peak-flow frequency data from 231 U.S. Geological Survey streamflow-gaging stations in North Dakota and parts of Montana, South Dakota, and Minnesota, with 10 or more years of unregulated peak-flow record, were used to develop regional regression equations for exceedance probabilities of 0.5, 0.20, 0.10, 0.04, 0.02, 0.01, and 0.002 using generalized least-squares techniques. Updated peak-flow frequency estimates for 262 streamflow-gaging stations were developed using data through 2009 and log-Pearson Type III procedures outlined by the Hydrology Subcommittee of the Interagency Advisory Committee on Water Data. An average generalized skew coefficient was determined for three hydrologic zones in North Dakota. A StreamStats web application was developed to estimate basin characteristics for the regional regression equation analysis. Methods for estimating a weighted peak-flow frequency for gaged sites and ungaged sites are presented.

Suggested Citation

Williams-Sether, Tara, 2015, Regional regression equations to estimate peak-flow frequency at sites in North Dakota using data through 2009: U.S. Geological Survey Scientific Investigations Report 2015–5096, 12 p., http://dx.doi.org/10.3133/sir20155096.

ISSN: 2328-0328 (online)

Study Area

Table of Contents

  • Abstract
  • Introduction
  • Peak-Flow Frequency Analysis at Gaging Stations
  • Development of Regional Regression Equations
  • Application of Regional Regression Equations
  • Summary
  • References Cited
Publication type Report
Publication Subtype USGS Numbered Series
Title Regional regression equations to estimate peak-flow frequency at sites in North Dakota using data through 2009
Series title Scientific Investigations Report
Series number 2015-5096
DOI 10.3133/sir20155096
Year Published 2015
Language English
Publisher U.S. Geological Survey
Publisher location Reston, VA
Contributing office(s) North Dakota Water Science Center, Dakota Water Science Center
Description Report: iv, 12 p.; 4 Tables
Country United States
State North Dakota
Online Only (Y/N) Y
Additional Online Files (Y/N) Y
Google Analytic Metrics Metrics page
Additional publication details