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Frequent and persistent droughts exacerbate the problems caused by the inherent scarcity of water in the semiarid to arid parts of the southwestern United States. The occurrence of drought is driven by climatic variability, which for years before about the beginning of the 20th century in the Southwest must be inferred from proxy records. As part of a multidisciplinary study of the potential hydrologic impact of severe sustained drought on the Colorado River, the physical basis and limitations of tree rings as indicators of severe sustained drought are reviewed, and tree-ring data are analyzed to delineate a “worst-case� drought scenario for the Upper Colorado River Basin (UCRB). Runs analysis of a 121-site...
This file (wymt_ffa_2018D_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
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This part of the Data Release contains the raster representation of the water-level altitude and water-level change maps developed every 5 years from 1980-2015 for the upper Rio Grande Focus Area Study. The input point data used to generate the water-level altitude maps can be found in the "Groundwater level measurement data used to develop water-level altitude maps in the upper Rio Grande Alluvial Basins" child item of this data release. These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
This study applies spatial analyses to examine the consequences of accelerated urban expansion on a hydrologic system over a period of 24 years. Three sets of historical aerial photos are used in a GIS analysis to document the geomorphic history of Las Vegas Wash, which drains the rapidly growing Las Vegas urban area in southern Nevada. New spatial techniques are introduced to make quantitative measurements of the erosion at three specific time intervals in the hydrologic evolution of the channel and floodplain. Unlike other erosion studies that use two different elevation surfaces to assess erosion, this study used a single elevation surface to remove systematic and nonsystemic elevation errors. The spatial analysis...
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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 and near the Milk River Basin, 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 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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These processed data and provisional codes were created to investigate seismic velocity changes associated with the collapse of Kīlauea caldera during its 2018 eruption. Primary data (i.e., seismic waveforms) are hosted at the Incorporated Research Institutions for Seismology (IRIS; https://www.iris.edu/) and are ingested by the codes included here to reproduce the data analyzed in Hotovec-Ellis et al., 'Earthquake-derived seismic velocity changes during the 2018 caldera collapse of Kīlauea volcano.' The included code ('cwire' short for Coda Wave Interferometry with Repeating Earthquakes) takes a catalog of earthquakes clustered by waveform similarity (e.g., REDPy, https://github.com/ahotovec/REDPy/) and processes...
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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 in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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The data include atmospheric-loading frequency response functions (table 1) and filtered detrended and reconstructed (trends restored) groundwater-levels (tables 2 to 4) computed for selected, parsed time series for three USGS monitoring wells [28A-25-1 (373904118570701); 28A-25-2 (373904118570702); and 14A-25-1 (373927118571701)], and the associated hourly resampled depth-to-water-level and barometric-pressure time-series "pieces" (tables 2 to 4) used to create the parsed series. Digital filters were developed based on the computed water-level response to Earth tides in well 14A-25-1 and barometric pressure in all three wells, and these filters were used to compute the filtered water-level time series in tables...
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Water resources around the world are contaminated with per- and polyfluoroalkyl substances (PFAS) due to releases from point sources on military installations, fire training centers, and chemical manufacturing sites. Non-point sources have also been identified including wastewater effluent, landfills, and biosolids application. PFAS are a major concern to myriad stakeholders as some are known to bioaccumulate, they have eco-toxicity effects, and they are highly recalcitrant. PFAS are often called “forever chemicals” due to their environmental persistence but many precursor PFAS are transformed in the environment by microbes. Recent work has shown that PFAS can be biologically degraded in laboratory studies, but...
This data release presents a peak-flow frequency analysis (Eash and others, 2013) for U.S. Geological Survey streamgage 06810000 Nishnabotna River above Hamburg, Iowa. These methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs). Annual peak-flow data used in the peak-flow frequency analysis for this streamgage was retrieved from the U.S. Geological Survey National Water Information System database (U.S. Geological Survey, 2021) and used with USGS flood-frequency analysis software PeakFQ (Veilleux and others, 2014). This data release contains annual peak-flow data (nishnabotna_2020_WATSTORE.txt), PeakFQ specifications...
This file (wymt_ffa_2018C_WATSTORE.txt) contains peak flow data for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. The file is in a text format called WATSTORE (National Water Data Storage and Retrieval System) available from NWISWeb (http://nwis.waterdata.usgs.gov/usa/nwis/peak).
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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 in Dawson and Richland Counties, and the Powder River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
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This U.S. Geological Survey (USGS) data release consists of data from two tracer investigations in the Snake Creek drainage of Great Basin National Park, White Pine County, Nevada. The first investigation, occurring from April to September 2019, involved injecting a fluorescein dye tracer below a diversion point in Snake Creek and monitoring 13 sites in the Snake Creek and neighboring Big Wash drainages for presence of the dye. The results of the first investigation were used to select a targeted monitoring location for a second, quantitative investigation. The second investigation, occurring from September 2020 to March 2021, involved injecting two tracers, sodium bromide and fluorescein dye, below the same diversion...


map background search result map search result map Atmospheric-loading frequency response functions and groundwater-levels filtered for the effects of atmospheric loading and solid Earth tides for three monitoring wells near Mammoth Lakes, California, 2015 - 2017 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Peak-flow frequency analysis for U.S. Geological Survey streamgage 06810000 Nishnabotna River above Hamburg, Iowa, in the Nishnabotna River Basin, Iowa, based on data through water year 2020 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Time series of seismic velocity changes during the 2018 collapse of Kīlauea volcano derived from coda wave interferometry of repeating earthquakes 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 Microbial Populations in PFHxSAm (perfluorohexane sulfonamido propyl amine) Biodegradation Microcosms 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 Data from two tracer investigations in the Snake Creek drainage, Great Basin National Park, White Pine County, Nevada WATSTORE Peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 Atmospheric-loading frequency response functions and groundwater-levels filtered for the effects of atmospheric loading and solid Earth tides for three monitoring wells near Mammoth Lakes, California, 2015 - 2017 Time series of seismic velocity changes during the 2018 collapse of Kīlauea volcano derived from coda wave interferometry of repeating earthquakes Microbial Populations in PFHxSAm (perfluorohexane sulfonamido propyl amine) Biodegradation Microcosms Data from two tracer investigations in the Snake Creek drainage, Great Basin National Park, White Pine County, Nevada PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in Carbon County, Montana, based on data through water year 2018. Peak-flow frequency analysis for U.S. Geological Survey streamgage 06810000 Nishnabotna River above Hamburg, Iowa, in the Nishnabotna River Basin, Iowa, based on data through water year 2020 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 WATSTORE Peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in Dawson and Richland Counties, and the Powder River Basin, Montana, based on data through water year 2022 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 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 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 WATSTORE Peak flow data for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 Groundwater-level altitude and groundwater-level change maps developed for the groundwater component of the upper Rio Grande Focus Area Study