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StreamStats

StreamStats provides access to spatial analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas, get basin characteristics and estimates of flow statistics, and more. Available information varies from state to state.

StreamStats Application

StreamStats is a Web application that provides access to an assortment of Geographic Information Systems (GIS) analytical tools that are useful for water-resources planning and management, and for engineering and design purposes. The map-based user interface can be used to delineate drainage areas for user-selected sites on streams, and then get basin characteristics and estimates of flow statistics for the selected sites anywhere this functionality is available. StreamStats users also can select the locations of U.S. Geological Survey data-collection stations, shown as triangles on the StreamStats map, and get flow statistics and other information for the stations. The types of flow statistics that are available vary from state to state. A variety of additional tools are available for discovering information about streams and the activities along them.

StreamStats works within Web browser software on personal computers and mobile devices, and is best viewed using the latest versions of Internet Explorer, Microsoft Edge, Chrome, or Firefox. The browser must allow HTML5 asynchronous script execution. The application is being continually improved and expanded. The News link in our left-hand menu will provide notices of any new enhancements.

 

NOTICE: Computational and sequencing issues have been identified in the PeakFQ software and Bulletin 17C guidelines (B17C) that may result in erroneous flood-frequency estimates under certain circumstances. The USGS, in collaboration with the U.S. Army Corp of Engineers (USACE), is evaluating these issues and considering updated methods which can be implemented in PeakFQ and USACE HEC-SSP software. Additionally, refined user guidelines may be released with the updated PeakFQ software to help users avoid the circumstances that give rise to computational errors and mitigate their impact.

For detailed information, please visit this page.
 

News

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South Carolina basin characteristics update

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Update to foundational GIS layers in Maine StreamStats

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StreamStats regression equation updates for Wisconsin

Publications

Estimating flood magnitude and frequency for unregulated streams in Wisconsin

Flood frequency characteristics and estimated flood discharges for the 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities were computed at 299 streamgaged locations in Wisconsin. The State was divided into four flood frequency regions using a cluster analysis to produce regions which are homogeneous with respect to physical basin characteristics. Regression equations
Authors
Sara B. Levin, Chris A. Sanocki

Comparison of regression relations of bankfull discharge and channel geometry for the glaciated and nonglaciated settings of Pennsylvania and southern New York

Streambank erosion in areas of past glacial deposition has been shown to be a dominant source of sediment to streams. Water resource managers are faced with the challenge of developing long and short term (emergency) stream restoration efforts that rely on the most suitable channel geometry for project design. A geomorphic dataset of new (2016, n=5) and previous (1999–2006, n=96) estimates of bank
Authors
John Clune, Jeffrey J. Chaplin, Kirk E. White

Incorporation of water-use summaries into the StreamStats web application for Maryland

Approximately 25,000 new households and thousands of new jobs will be established in an area that extends from southwest to northeast of Baltimore, Maryland, as a result of the Federal Base Realignment and Closure (BRAC) process, with consequent new demands on the water resources of the area. The U.S. Geological Survey, in cooperation with the Maryland Department of the Environment, has extended t
Authors
Kernell G. Ries, Marilee A. Horn, Mark R. Nardi, Steven Tessler