StreamStats for Georgia was developed in cooperation with the Georgia Department of Transportation and the Georgia Environmental Protection Division.
New equations were added to StreamStats on June 15, 2017 for estimating the annual minimum 1- and 7-day average streamflow with the 10-year recurrence interval (referred to as 1Q10 and 7Q10), monthly 7Q10, and mean annual flow for northern Georgia (Gotvald, 2017). StreamStats also can be used to estimate the magnitude of peak flows throughout Georgia under natural streamflow and urbanized conditions at the 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence-intervals, which have the probability of exceedance in any single year of 50, 20, 10, 4, 2, 1, 0.5, and 0.2 percent, respectively. The reports below present the equations used to estimate the flow statistics, describe the errors associated with the estimates, and describe the methods used to develop the equations and to measure the basin characteristics used in the equations. Users should familiarize themselves with the reports before using StreamStats to obtain estimates of streamflow statistics for ungaged sites.
- Gotvald, A.J., Feaster, T.D., and Weaver, J.C., 2009, Magnitude and frequency of rural floods in the southeastern United States, 2006—Volume 1, Georgia: U.S. Geological Survey Scientific Investigations Report 2009–5043, 120 p.
- Feaster, T.D., Gotvald, A.J., and Weaver, J.C., 2014, Methods for estimating the magnitude and frequency of floods for urban and small_ rural streams in Georgia, South Carolina, and North Carolina, 2011 (ver. 1.1, March 2014): U.S. Geological Survey Scientific Investigations Report 2014–5030, 104 p.
- Gotvald, A.J., 2017, Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia: U.S. Geological Survey Scientific Investigations Report 2017– 5001, 25 p.
Click on this link to obtain general information on the Georgia application, as well as specific sources and computation methods for basin characteristics.
Related Content
Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia
Methods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011
Magnitude and frequency of rural floods in the southeastern United States, 2006: Volume 1, Georgia
Related Content
- Publications
Methods for estimating selected low-flow frequency statistics and mean annual flow for ungaged locations on streams in North Georgia
The U.S. Geological Survey, in cooperation with the Georgia Department of Natural Resources, Environmental Protection Division, developed regional regression equations for estimating selected low-flow frequency and mean annual flow statistics for ungaged streams in north Georgia that are not substantially affected by regulation, diversions, or urbanization. Selected low-flow frequency statistics aAuthorsAnthony J. GotvaldMethods for estimating the magnitude and frequency of floods for urban and small, rural streams in Georgia, South Carolina, and North Carolina, 2011
Reliable estimates of the magnitude and frequency of floods are essential for the design of transportation and water-conveyance structures, flood-insurance studies, and flood-plain management. Such estimates are particularly important in densely populated urban areas. In order to increase the number of streamflow-gaging stations (streamgages) available for analysis, expand the geographical coveragAuthorsToby D. Feaster, Anthony J. Gotvald, J. Curtis WeaverMagnitude and frequency of rural floods in the southeastern United States, 2006: Volume 1, Georgia
A multistate approach was used to update methods for estimating the magnitude and frequency of floods in rural, ungaged basins in Georgia, South Carolina, and North Carolina that are not substantially affected by regulation, tidal fluctuations, or urban development. Annual peak-flow data through September 2006 were analyzed for 943 streamgaging stations having 10 or more years of data on rural strAuthorsAnthony J. Gotvald, Toby D. Feaster, J. Curtis Weaver - Partners