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ABOUT THE WYOMING-MONTANA WATER SCIENCE CENTER
USGS IN YOUR STATE
USGS Water Science Centers are located in each state.
Water Resources of Wyoming and Montana
Welcome to the USGS Wyoming-Montana Water Science Center. These pages are your source for water-resource information collected and interpreted by the U.S. Geological Survey in Wyoming and Montana. Here you'll find information on Wyoming's and Montana's rivers and streams. You'll also find information about ground water, water quality, and many other topics. The USGS operates the most extensive satellite network of stream-gaging stations in the state, many of which form the backbone of flood-warning systems.
Wyoming and Montana Water Data and Information
Current Streamflow Conditions
Wyoming-Montana Water News and Notices
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News and Highlights
Constructing a New Cableway
Preparing for high flows and working through the rain and snow to get the new cableway constructed at Blacks Fork near Little America, WY (April 26,2016).
StreamStats is a Web-based geographic information system application that was created by the USGS to provide users with access to an assortment of analytical tools that are useful for water-resource planning and management. StreamStats allows users to easily obtain streamflow and basin characteristics for USGS streamflow-gaging stations and user-selected locations on ungaged streams. The USGS, in cooperation with Montana Department of Transportation, Montana Department of Environmental Quality, and Montana Department of Natural Resources and Conservation, completed a study to develop a StreamStats application for Montana, compute streamflow characteristics at streamflow-gaging stations, and develop regional regression equations to estimate streamflow characteristics at ungaged sites.
Hydrogeology of the lower Tertiary aquifer system is described along with a new map showing elevations and flow paths of groundwater. Included are data describing changes in groundwater levels in selected wells over the last 50 years.
Climatic, geological, and environmental data were coupled with observational stream intermittency data to predict alpine headwater stream intermittency. The study determined that the most important variables to predict the probability that a stream would maintain year-round streamflow were snowpack persistence, temperature (mean annual, mean monthly, and minimum), and surficial geology.
Investigation of microbial proteins provides insights on how microorganisms evolved an efficient pathway to generate methane.