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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, that were based on methods described by Sando and McCarthy (2018).
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for Elk Creek at Augusta, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for streamgages in or near Montana based...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, that were based on methods described by Sando and McCarthy (2018). Citation: Sando, S.K., and McCarthy, P.M.,...
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The surface water water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) or the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring Council,...
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A set of comma-separated value tables containing data for streamflow, water quality, surface-water features, and produced waters in the energy development area of the Williston Basin in eastern Montana, western North Dakota, and northwest South Dakota.
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Potential effects of energy development on environmental resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water resources are described in terms of characteristics of the groundwater; streams and rivers; and lakes, reservoirs, and wetlands of the area in terms of physical occurrence, flow characteristics, water quality, and water use.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) documented (Sando and McCarthy, 2018) methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in Carbon County, Montana, that were based on methods described by Sando and McCarthy (2018).
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The lake and reservoir water-quality data were compiled from Water Quality Portal (https://www.waterqualitydata.us/) (National Water Quality Monitoring Council, 2015), USGS’s NAWQA Project’s data compilation (Oelsner and others, 2017) and the Montana Bureau of Mines and Geology (Montana Bureau of Mines, 2021), The compilation contains data for chloride, pH, specific conductance, sulfate, total dissolved solids (TDS) collected between water year 1970 to 2014. In addition 10 metals (aluminum, arsenic, barium, chromium, copper, iron, lead, selenium strontium, and zinc) analyzed during water years 1993 through 2014. National Water-Quality Monitoring Council, 2015, Water Quality Portal: National Water-Quality Monitoring...
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The U.S. Geological Survey Dakota Water Science Center, in cooperation with the Federal Highway Administration, analyzed annual peak-flow data to determine if trends are present and provide attribution of trends where possible. Work for the national trend attributions for nonstationary annual peak-flow records was broken into seven regions that are loosely based off of two-digit hydrologic unit watershed boundaries. Each of the regions made attributions for nonstationary annual peak-flow records using both monotonic trends and change point for 50 (1966-2015) and 75 (1941-2015) year trends. Each child page contains four supporting comma separated values (csv) files (50-year monotonic, 75-year monotonic, 50-year change...
This data release presents drainage-basin characteristics for 12,639 road and stream intersections in Montana. The drainage-basin characteristics presented include those computed by the Montana StreamStats application (McCarthy and others, 2016). Statistical analysis of the road and stream intersections was included in the report "Peak-Flow Variability, Peak-Flow Informational Needs, and Consideration of Regional Regression Analyses in Managing the Crest-Stage Gage Network in Montana" (Sando, 2021).
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for streamgages...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, that were based on methods described by Sando and McCarthy (2018).
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in Missoula and Granite Counties, Montana, that were based on methods described by Sando and McCarthy (2018). Sando, S.K., and McCarthy, P.M., 2018, Methods for peak-flow frequency analysis and reporting for...
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 that were based on methods described by Sando and McCarthy (2018).
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 that were based on methods described by Sando and McCarthy (2018).
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) recently completed a report documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. In association with the report, this data release presents peak-flow frequency analyses for 99 selected streamgages that serve as examples showing various aspects of the WY-MT WSC frequency-analysis methods. The results are presented in three child items: a child item containing the results excel spreadsheet,...


map background search result map search result map Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020) Peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 (ver. 1.1, September 2019) Peak-flow frequency analyses for Elk Creek at Augusta, Montana, based on data through water year 2018 Results of peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015 Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018 Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018 Drainage-basin characteristics associated with road and stream intersections in Montana Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Lake water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018 Results of peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 Peak-flow frequency analyses for 11 selected streamgages in Jefferson County, Montana, based on data through water year 2017 (ver. 1.1, September 2019) Peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Peak-Flow Frequency Analyses for Selected Streamgages in Missoula and Granite Counties, Montana, Based on Data through Water Year 2018 Peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages on the Bighorn, Tongue, and Lower Yellowstone Rivers and tributaries and Home Creek, Montana, based on data through water year 2021 Results of water resource data aggregations within areas of energy development in the Williston Basin in Montana, North Dakota, and South Dakota Surface water water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Lake water-quality data for select constituents in Williston Basin, Montana, North Dakota, and South Dakota for water years 1970-2014 Drainage-basin characteristics associated with road and stream intersections in Montana Peak-flow frequency analyses for 99 selected streamgages in or near Montana, based on data through water year 2015 (ver. 1.1, August 2020) Potential Effects of Energy Development on Environmental Resources of the Williston Basin in Montana, North Dakota, and South Dakota—Water Resources tables 1-1 to 1-3, 2-1 to 2-6, and 3-1 to 3-32, and figure 1-1 Attributions for nonstationary peak streamflow records across the conterminous United States, 1941-2015 and 1966-2015