To improve flood-frequency estimates at rural streams in Alabama, annual exceedance probability flows at gaged locations and regional regression equations used to estimate annual exceedance probability flows at ungaged locations were developed by using current geospatial data, new analytical methods, and annual peak-flow data through September 2015 at 242 streamgages in Alabama and surrounding States. The regional regression equations were derived from statistical analyses of annual peak-flow data and basin characteristics for a subset of 217 streamgages. Four flood regions were identified based on residuals from the regional regression analyses and contain sites with similar basin characteristics. A separate set of equations was derived for estimating flood frequency and magnitude for small rural streams using a subset of 40 small basin streamgages. A large river analysis was also completed for 14 selected large-river streamgages in Alabama. Annual exceedance probability flows presented in this report reflect additional streamflow data collected since the previous study of flood magnitude and frequency in Alabama, which included streamflow through September 2003.
Citation Information
Publication Year | 2020 |
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Title | Magnitude and frequency of floods in Alabama, 2015 |
DOI | 10.3133/sir20205032 |
Authors | Brandon T. Anderson |
Publication Type | Report |
Publication Subtype | USGS Numbered Series |
Series Title | Scientific Investigations Report |
Series Number | 2020-5032 |
Index ID | sir20205032 |
Record Source | USGS Publications Warehouse |
USGS Organization | Lower Mississippi-Gulf Water Science Center |
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Flood regions and annual exceedance probability flows for Alabama streams, data through 2015
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Flood regions and annual exceedance probability flows for Alabama streams, data through 2015
To improve flood-frequency estimates at rural streams in Alabama, annual exceedance probability (AEP) flows at gaged streams in Alabama and regional-regression equations, used to estimate AEP flows for ungaged streams in Alabama, were developed using current geospatial data, additional statistical methods, and annual peak-flow data through the 2015 water year. The regional-regression equations wer