Results of generalized least-squares (GLS) regression for 136 USGS streamgages in urban areas in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina (ver. 1.1, January 2026)

This dataset contains results of generalized least-squares (GLS) regression for 136 streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) on urban streams in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina. GLS regression was used to relate drainage area, percentages of the drainage basins of the streamgages in developed land use (the sum of classes 21-24 from the 2011 NLCD; Homer and others, 2015), and the percentages of the streamgage basins in the Piedmont and Ridge and Valley level 3 (L3) ecoregions (U.S. Environmental Protection Agency, 2010) to previously published estimates of streamflows corresponding to the 0.5, 0.2, 0.1, 0.04, 0.02, 0.01, 0.005, and 0.002 annual exceedance probabilities (AEPs; Wagner and Ladd, 2024). From this regression, equations were developed that can be used to predict streamflows corresponding to the eight selected AEPs at ungaged locations on urban streams (percent developed imperviousness greater than 10%; Homer and others, 2015) in the study area. Standard errors of prediction ranged from 35.8 percent for the 0.2 AEP (the 5-year flood) to 55.4 percent for the 0.002 AEP (the 500-year flood). GLS regression was conducted using version 3.0 of USGS weighted regression (WREG) software (Farmer, 2019; Eng and others, 2009); input and output files from WREG are provided. USGS site information, values of the five basin characteristics, at-site estimates of the selected AEPs and their variances (from Wagner and Ladd, 2024), GLS estimates of the selected AEPs and their variances, weighted estimates of the selected AEPs and their variances and associated 95-percent confidence limits (see Appendix 9, "Weighting of Independent Estimates", in England and others, 2018), and the residual, leverage, and influence values from GLS regression are provided in CSV format ("GLSresults.csv"). A table of the final GLS regression equations for each AEP and their associated performance metrics is also provided in CSV format ("RegressionEquations.csv"). The following input files for USGS WREG software are located in the "WREG_input" directory within the "WREG_input.zip" folder: a text file of basin characteristics for all 136 selected streamgages in the study area ("SiteInfo.txt") and a PeakFQ output (*.PRT) and export (*.EXP) file for each streamgage, located in the "PeakFQ" subdirectory. The following eight WREG output files, located in the "GLS_output" folder within the "GLS_output.zip" directory, are in sub-directories for each of the 8 selected AEPs: "coef.txt," "CoVarMat.txt," "FitandResid.txt," "modelInput.txt," "outputRaw.rda," "PerformanceMetrics.txt," "ResLevInf.txt," and "Weighting.txt." In January 2026, file "GLSresults.csv" was revised. A "map_number" column was added to to relate the streamgages in the file to their locations in Figure 1 in the primary publication (Wagner and Ladd, 2026).

                                            [
  "010:12"
]
                                        

                                            {
  "fn": "Daniel M Wagner",
  "@type": "vcard:Contact",
  "hasEmail": "mailto:dwagner@usgs.gov"
}
                                        

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                                            [
  "Alabama",
  "Georgia",
  "Lower Mississippi Region - 2-digit Hydrologic Unit Code - 08",
  "Mississippi",
  "North Carolina",
  "Ohio Region - 2-digit Hydrologic Unit Code - 05",
  "South Carolina",
  "South-Atlantic-Gulf Region - 2-digit Hydrologic Unit Code - 03",
  "Tennessee",
  "Tennessee Region - 2-digit Hydrologic Unit Code - 06",
  "USGS:660b183ed34e4df16bd58c24",
  "annual exceedance probability",
  "flood estimates",
  "flood frequency",
  "generalized least-squares regression",
  "hydrology",
  "multiple linear regression",
  "peak flows"
]
                                        

                                            {
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                                            [
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