Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This USGS data release serves as the model archive for the at-site flood-frequency statistics and regression models that were developed as a part of this study.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flows records through 2017. Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This model archive provides the inputs and outputs for (1) the at-site flood-frequency statistics and (2) the regression models developed to allow for estimation of flood-frequency statistics at ungaged stream locations in the study area. The inputs and outputs for the at-site flood-frequency statistics are provided under the SAWSC PeakFQ input and output files for at-site flood-frequency statistics child item. The inputs and outputs for the regression models are provided under the SAWSC rural flood-frequency regression models (R scripts and applications) child item. Further details concerning the inputs and outputs are provided within the metadata and ReadMe files underneath each child item within this data release. Information describing the contents of this model archive is provided below in a text-based file attached to the front landing page for this data release.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Annual peak flows measured at U.S. Geological Survey streamgages were used to compute at-site flood-frequency estimates at those streamgages in the study area based on annual peak-flows records through 2017. Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This model archive provides the inputs and outputs for (1) the at-site flood-frequency statistics and (2) the regression models developed to allow for estimation of flood-frequency statistics at ungaged stream locations in the study area. The inputs and outputs for the at-site flood-frequency statistics are provided under the SAWSC PeakFQ input and output files for at-site flood-frequency statistics child item. The inputs and outputs for the regression models are provided under the SAWSC rural flood-frequency regression models (R scripts and applications) child item. Further details concerning the inputs and outputs are provided within the metadata and ReadMe files underneath each child item within this data release. Information describing the contents of this model archive is provided below in a text-based file attached to the front landing page for this data release.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management. Annual peak flows measured at U.S. Geological Survey streamgages are used to compute flood-frequency estimates at those streamgages. However, flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations. This dataset contains the supporting tables and updated hydrologic region boundaries used in the 2017 flood-frequency study for Georgia, South Carolina, and North Carolina.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations in the study area. The previous update to rural flood frequency estimates in the study area was published using annual peak-flow data through 2006. This updated study utilizes newer methods outlined in Bulletin 17C and newly developed regional skew to estimate the magnitude and frequency of floods in the study area based on data through 2017.

Reliable estimates of the magnitude and frequency of floods are an important part of the framework for hydraulic-structure design and flood-plain management in Georgia, South Carolina, and North Carolina (study area). Flood-frequency estimates also are needed at ungaged stream locations. A process known as regionalization was used to develop regression equations to estimate the magnitude and frequency of floods at ungaged locations in the study area. The previous update to rural flood frequency estimates in the study area was published using annual peak-flow data through 2006. This updated study utilizes newer methods outlined in Bulletin 17C and newly developed regional skew to estimate the magnitude and frequency of floods in the study area based on data through 2017.

This dataset contains site information and results of flood-frequency analysis for 139 urban streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina. Developed imperviousness in the basins, based on the 2011 National Land Cover Database, was at least 10 percent (Homer and others, 2015). Drainage areas of the streamgage basins ranged from 0.15 - 161 square miles. Annual peak-flow data from the 1947 - 2022 water years were used in the study (U.S. Geological Survey, 2024). Peak-flow (.pkf), specification (.psf), output (.PRT), and export (.EXP) files from flood-frequency analysis in USGS PeakFQ software (Veilleux and others, 2014; Flynn and others, 2006) are provided. Site information and results of flood-frequency analysis are provided in .csv format.

This dataset contains site information and results of flood-frequency analysis for 139 urban streamflow gaging stations (streamgages) operated by the U.S. Geological Survey (USGS) in Tennessee and parts of Alabama, Georgia, Mississippi, North Carolina, and South Carolina. Developed imperviousness in the basins, based on the 2011 National Land Cover Database, was at least 10 percent (Homer and others, 2015). Drainage areas of the streamgage basins ranged from 0.15 - 161 square miles. Annual peak-flow data from the 1947 - 2022 water years were used in the study (U.S. Geological Survey, 2024). Peak-flow (.pkf), specification (.psf), output (.PRT), and export (.EXP) files from flood-frequency analysis in USGS PeakFQ software (Veilleux and others, 2014; Flynn and others, 2006) are provided. Site information and results of flood-frequency analysis are provided in .csv format.

Dataset is a model archive containing all relevant files to create regression models that are discussed in the report: Koltun, G.F., 2019, Flood-frequency estimates for Ohio streamgages based on data through water year 2015 and techniques for estimating flood-frequency characteristics of rural, unregulated Ohio streams: U.S. Geological Survey Scientific Investigations Report 2019-5018. WREG R source code, regression results and associated output files are also included in the archive.