Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Skip to content

Data Files for the Development of Regression Equations for the Estimation of the Magnitude and Frequency of Floods at Rural, Unregulated Gaged and Ungaged Streams in Puerto Rico through Water Year 2017 (ver. 1.1, September 2021)

Metadata Updated: July 6, 2024

Estimates of the magnitude of peak-flows were updated for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent chance exceedance levels for 91 rural, unregulated streamgaging stations on the main island of Puerto Rico. These stations required 10 or more years of annual peak-flow record, using data to 2017, for inclusion in the study. The magnitude and frequency of floods at selected streamgages in Puerto Rico were estimated using the U.S. Geological Survey PeakFQ program and updated methods outlined in Bulletin 17C (England and others, 2018). Regional regression equations were calculated to estimate flood frequency statistics at ungaged locations using selected basin characteristics as explanatory variables. These variables were determined from digital spatial datasets and geographic information systems using the most recent data available, as referenced in the U.S. Geological Survey web application, StreamStats, and published in Kolb and Ryan (2021). A generalized least squares procedure in the U.S. Geological Survey program, WREG, was used to account for cross-correlation of sites and develop the final regional regression equations using drainage area as the only explanatory variable. Two separate regions were defined for regression equation use in this study to minimize residuals. NOTE: All of the data in the previous version can be found in version 1.1. References Cited:
England J.F., Jr., Cohn, T.A., Faber, B.A., Stedinger,J.R., Thomas,W.O.,Jr., Veilleux,A.G., Kiang,J.E., and Mason,R.R., Jr., 2018, Guidelines for determining flood flow frequency —Bulletin 17C: U.S. Geological Survey Techniques and Methods, book 4, chap. B5, 148p., https://doi.org/10.3133/tm4B5.
Kolb, K.R., and Ryan, P.J., 2021, Basin Characteristic Rasters for Puerto Rico StreamStats, 2021: U.S. Geological Survey data release, https://doi.org/10.5066/P9HK9SSQ.

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

Downloads & Resources

Dates

Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date July 6, 2024
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/6fcd8cddae66e15001b5fb3955075310
Identifier USGS:5f8740e182cebef40f1721e4
Data Last Modified 20210920
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id c92a0376-25cc-4ec5-955b-56f74967604d
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -67.37091064545,17.811039529476,-65.514221192399,18.651035342048
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash a136b419a9aef90e16d1bb22d114fe2b42537a116c3107836b5080ed2e504cc1
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -67.37091064545, 17.811039529476, -67.37091064545, 18.651035342048, -65.514221192399, 18.651035342048, -65.514221192399, 17.811039529476, -67.37091064545, 17.811039529476}

Didn't find what you're looking for? Suggest a dataset here.