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Hazelbaker, Cody L.

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The magnitude and frequency of floods at 91 rural, unregulated streamgages in Puerto Rico were updated using annual peak-flows through 2017. The USGS program PeakFQ version 7.3 (U.S. Geological Survey, 2019) was used to estimate the parameters of the Log-Pearson Type III distribution using updated methods outlined in Bulletin 17C (England and others, 2018) and regional skew of 0.28 and a mean-squared error of 0.20. This data release includes (1) a spreadsheet file showing streamgage information, perception thresholds, and intervals used in PeakFQ; (2) raw input files (.txt) and spec file (.psf) loaded into PeakFQ; and (3) output files (.PRT) from PeakFQ showing the magnitude and frequency peak-flow estimates, as...
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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)
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...
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Generalized least squares (GLS) techniques were used with at-site statistics, from PeakFQ, and drainage area for streamgages in Puerto Rico to calculate regional regression equations for ungaged locations. The GLS approach assigns weights based on uncertainty of the observations (ie. record length and variance) and accounts for correlated streamflows and time-sampling errors (Farmer and others, 2019). Two separate regions were defined for the use of these equations to minimize residuals, and performance metrics from WREG were analyzed to determine drainage area as the only explanatory variable provided the best results. Values for the correlation smoothing function in region 1 were alpha equal to 0.006 and theta...
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