Peak-, Mean-, and Low-Streamflow Regional-Regression Equations for Natural Streamflow in Central and Western Colorado, 2019
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- Document: Report (5.86 MB pdf) , HTML , XML
- Additional Report Pieces:
- Table 1.1 (72.0 KB csv) Summary of the streamgages used in the regression analysis of natural streams in central and western Colorado, 2019
- Table 1.2 (16.0 KB csv) Basin and climate characteristics evaluated for use in the peak-, mean-, and low-streamflow regional-regression equations in central and western Colorado, 2019
- Data Release: USGS data release - Streamflow data and basin characteristics of natural streams in central and western Colorado, 2019
- Download citation as: RIS | Dublin Core
Abstract
The U.S. Geological Survey (USGS), in cooperation with the Colorado Department of Transportation, developed peak-, mean-, and low-streamflow regional-regression equations for estimating various statistics for natural streamflow in hydrologic regions of central and western Colorado. The peak-streamflow regression equations were developed using data from 418 streamgages, consisting of 15,202 years of record and a mean of approximately 36 years of record per streamgage. The mean- and low-streamflow regional-regression equations were developed using data from 323 streamgages where daily streamflow data were collected year-round. The annual exceedance-probability discharges for each streamgage were computed using the USGS software program PeakFQ. Mean monthly and 7-day minimum and maximum streamflows were computed using the USGS software program SWToolbox. Streamflow-duration values were computed using an R script. The regional-regression equations were determined using data for the period of record for a given streamgage through water year 2019. Geographic information systems datasets were used to develop 55 basin and 42 climatic characteristics, which were evaluated as candidate explanatory variables in the regression analysis.
For the peak-streamflow regional-regression equations, the study area was divided into four hydrologic regions based on mean basin elevation, including the Plateau (less than 8,014 feet), Mid-Elevation (8,015 feet to 9,492 feet), Sub-Alpine (9,493 feet to 10,490 feet), and Alpine (greater than 10,490 feet) regions. For the peak-streamflow equations, the selection of basin and climatic characteristics was based on the 1-percent annual exceedance-probability discharge for each hydrologic region.
For the mean streamflow, streamflow-duration values, and 7-day minimum and maximum streamflows, the study area was divided into four hydrologic regions based on river basin, including the (1) Colorado-East Slope Headwaters, (2) Green River, (3) Rio Grande, and (4) San Juan-Dolores. For mean streamflows, basin and climatic characteristics were evaluated separately for the annual period and each month for each hydrologic region. Regional regression equations published in this report are available for use in the USGS web-based program StreamStats.
Suggested Citation
Kohn, M.S., Mast, M.A., and Gross, T.A., 2026, Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019: U.S. Geological Survey Scientific Investigations Report 2025–5047, 38 p., https://doi.org/10.3133/sir20255047.
ISSN: 2328-0328 (online)
Table of Contents
- Acknowledgments
- Abstract
- Introduction
- Methods for Data Development for Streamgages
- StreamStats
- Summary
- References Cited
- Appendix 1. Streamgage, Basin, and Climatic Characteristics Summary
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Peak-, mean-, and low-streamflow regional-regression equations for natural streamflow in central and western Colorado, 2019 |
| Series title | Scientific Investigations Report |
| Series number | 2025-5047 |
| DOI | 10.3133/sir20255047 |
| Publication Date | April 24, 2026 |
| Year Published | 2026 |
| Language | English |
| Publisher | U.S. Geological Survey |
| Publisher location | Reston VA |
| Contributing office(s) | Colorado Water Science Center |
| Online Only (Y/N) | Y |