Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017
May 8, 2023
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 the attached text-based file.
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 the attached text-based file.
Citation Information
Publication Year | 2023 |
---|---|
Title | Model Archive for Magnitude and Frequency of Floods for Rural Streams in Georgia, South Carolina, and North Carolina, 2017 |
DOI | 10.5066/P9AQ2AX1 |
Authors | John C Weaver, Toby D Feaster, Anthony J Gotvald, Jonathan W Musser, Katharine Kolb |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | South Atlantic Water Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Reliable flood-frequency estimates are important for hydraulic structure design and floodplain management in Georgia, South Carolina, and North Carolina. Annual peak streamflows (hereafter, referred to as peak flows) measured at 965 U.S. Geological Survey streamgages were used to compute flood-frequency estimates with annual exceedance probabilities (AEPs) of 50, 20, 10, 4, 2, 1, 0.5...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb
Magnitude and frequency of floods for rural streams in Georgia, South Carolina, and North Carolina, 2017—Results
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. However, flood‑frequency estimates also are needed...
Authors
Toby D. Feaster, Anthony J. Gotvald, Jonathan W. Musser, J. Curtis Weaver, Katharine Kolb, Andrea G. Veilleux, Daniel M. Wagner
John C Weaver
Assistant Director for Data - NC
Assistant Director for Data - NC
Email
Phone
Anthony J Gotvald, PE
Surface-Water Specialist
Surface-Water Specialist
Email
Phone
Katharine Kolb
Geographer
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Associate National Map Liaison NC & SC
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Email
Phone