Data

The U.S. Geological Survey (USGS) Oklahoma-Texas Water Science Center, in cooperation with the Oklahoma Department of Transportation, updated basin-characteristic data for Oklahoma streams with drainage areas of less than 2,510 square miles. Basin characteristics were updated or created for 248 streamgages. The previously published Oklahoma generalized skew map, a necessary element in the developm

The U.S. Geological Survey (USGS) calculated multiple basin characteristics as part of preparing the Upper Colorado & Gunnison Rivers Pilot StreamStats application. These datasets are raster representations of various environmental, geological, and land use attributes within the Upper Colorado & Gunnison Rivers study area (also known as the Next-Generation Water Observing System, or NGWOS), and wi

In cooperation with the Puerto Rico Environmental Quality Board, the U.S. Geological Survey (USGS) calculated over 40 different basin characteristics as part of preparing the Puerto Rico StreamStats application. These data were used to update the peak flow and low flow regression equations for Puerto Rico. These datasets are raster representations of various environmental, geological, and land use

Streamflow data and statistics are vitally important for proper protection and management of both the water quality and water quantity of Alabama streams. Such data and statistics are available at U.S. Geological Survey streamflow-gaging stations, also referred to as streamgages or stations, but are often needed at ungaged stream locations. To address this need, the U.S. Geological Survey, in coop

In 2013, the U.S. Geological Survey (USGS) in partnership with the U.S. Federal Highway Administration (FHWA) published a new national stormwater quality model called the Stochastic Empirical Loading Dilution Model (SELDM). The model is optimized for roadway projects but in theory can be applied to a broad range of development types. SELDM is a statistically-based empirical model pre-populated w

The U.S. Geological Survey South Atlantic Water Science Center, in cooperation with the South Carolina Department of Transportation, implemented a South Carolina StreamStats application in 2018. This shapefile dataset contains vector lines representing streams, rivers, and ditches that were used in preparing the underlying data for the South Carolina StreamStats application. Data were compiled fro

The U.S. Geological Survey (USGS), in cooperation with the New Mexico Water Resources Research Institute (WRRI), identified basin characteristics and estimated mean annual streamflow for a regional study of 169 USGS surface-water streamgages throughout the state of New Mexico and adjacent states. The basin characteristics and mean annual streamflows presented here will be used to derive equations