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Scientific Investigations Report | 2018

Conceptual model to assess water use associated with the life cycle of unconventional oil and gas development

Joshua F. Valder; Ryan R. McShane; Theodore B. Barnhart; Roy Sando; Janet M. Carter; Robert F. Lundgren

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PLOS ONE | 2018

Streamflow contributions from tribal lands to major river basins of the United States

Kyle W. Blasch; Stephen Hundt; Patrick Wurster; Roy Sando; Antony Berthelote

While many studies on tribal water resources of individual tribal lands in the United States (US) have been conducted, the importance of tribal water resources at a national scale has largely gone unrecognized because their combined totals have not been quantified. Thus, we sought to provide a numerical estimate of major water budget components on tribal lands within the conterminous US and on USGS hydrologic unit codes (HUC2) regions. Using existing national-scale data and models, we estimated mean annual precipitation, evapotranspiration, excess precipitation, streamflow, and water use for the period 1971–2000. Tribal lands represent about 3.4 percent of the total land area of the conterminous US and on average account for 1.9 percent of precipitation, 2.4 percent of actual evapotranspiration, 0.95 percent of excess precipitation, 1.6 percent of water use, and 0.43 percent of streamflow origination. Additionally, approximately 9.5 and 11.3 percent of US streamflow flows through or adjacent as boundaries to tribal lands, respectively. Streamflow through or adjacent to tribal lands accounts for 42 and 48 percent of streamflow in the Missouri region, respectively; and for 86 and 88 percent in the Lower Colorado region, respectively. On average, 5,600 million cubic meters of streamflow per year was produced on tribal lands in the Pacific Northwest region, nearly five times greater than tribal lands in any other region. Tribal lands in the Great Lakes, Missouri, Arkansas-White-Red, and California regions all produced between 1,000 and 1,400 million cubic meters per year.


Scientific Investigations Report | 2016

Adjusted peak-flow frequency estimates for selected streamflow-gaging stations in or near Montana based on data through water year 2011: Chapter D in Montana StreamStats

Steven K. Sando; Roy Sando; Peter M. McCarthy; DeAnn M. Dutton

The climatic conditions of the specific time period during which peak-flow data were collected at a given streamflowgaging station (hereinafter referred to as gaging station) can substantially affect how well the peak-flow frequency (hereinafter referred to as frequency) results represent long-term hydrologic conditions. Differences in the timing of the periods of record can result in substantial inconsistencies in frequency estimates for hydrologically similar gaging stations. Potential for inconsistency increases with decreasing peak-flow record length. The representativeness of the frequency estimates for a short-term gaging station can be adjusted by various methods including weighting the at-site results in association with frequency estimates from regional regression equations (RREs) by using the Weighted Independent Estimates (WIE) program. Also, for gaging stations that cannot be adjusted by using the WIE program because of regulation or drainage areas too large for application of RREs, frequency estimates might be improved by using record extension procedures, including a mixed-station analysis using the maintenance of variance type I (MOVE.1) procedure. The U.S. Geological Survey, in cooperation with the Montana Department of Transportation and the Montana Department of Natural Resources and Conservation, completed a study to provide adjusted frequency estimates for selected gaging stations through water year 2011. The purpose of Chapter D of this Scientific Investigations Report is to present adjusted frequency estimates for 504 selected streamflow-gaging stations in or near Montana based on data through water year 2011. Estimates of peak-flow magnitudes for the 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities are reported. These annual exceedance probabilities correspond to the 1.5-, 2-, 2.33-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year recurrence intervals, respectively. The at-site frequency estimates were adjusted by weighting with frequency estimates from RREs using the WIE program for 438 selected gaging stations in Montana. These 438 selected gaging stations (1) had periods of record less than or equal to 40 years, (2) represented unregulated or minor regulation conditions, and (3) had drainage areas less than about 2,750 square miles. The weighted-average frequency estimates obtained by weighting with RREs generally are considered to provide improved frequency estimates. In some cases, there are substantial differences among the at-site frequency estimates, the regression-equation frequency estimates, and the weightedaverage frequency estimates. In these cases, thoughtful consideration should be applied when selecting the appropriate frequency estimate. Some factors that might be considered when selecting the appropriate frequency estimate include (1) whether the specific gaging station has peak-flow characteristics that distinguish it from most other gaging stations used in developing the RREs for the hydrologic region; and (2) the length of the peak-flow record and the general climatic characteristics during the period when the peak-flow data were collected. For critical structure-design applications, a conservative approach would be to select the higher of the at-site frequency estimate and the weighted-average frequency estimate. The mixed-station MOVE.1 procedure generally was applied in cases where three or more gaging stations were located on the same large river and some of the gaging stations could not be adjusted using the weighted-average method because of regulation or drainage areas too large for application of RREs. The mixed-station MOVE.1 procedure was applied to 66 selected gaging stations on 19 large rivers. The general approach for using mixed-station record extension procedures to adjust at-site frequencies involved (1) determining appropriate base periods for the gaging stations on the large rivers, (2) synthesizing peak-flow data for the gaging stations with incomplete peak-flow records during the base periods by using the mixed-station MOVE.1 procedure, and (3) conducting frequency analysis on the combined recorded and synthesized peak-flow data for each gaging station. Frequency estimates for the combined recorded and synthesized datasets for 66 gaging stations with incomplete peak-flow records during the base periods are presented. The uncertainties in the mixed-station record extension results are difficult to directly quantify; thus, it is important to understand the intended use of the estimated frequencies based on 2 Adjusted Peak-Flow Frequency Estimates for Selected Streamflow-Gaging Stations, Montana analysis of the combined recorded and synthesized datasets. The estimated frequencies are considered general estimates of frequency relations among gaging stations on the same stream channel that might be expected if the gaging stations had been gaged during the same long-term base period. However, because the mixed-station record extension procedures involve secondary statistical analysis with accompanying errors, the uncertainty of the frequency estimates is larger than would be obtained by collecting systematic records for the same number of years in the base period.


Scientific Investigations Report | 2016

Montana StreamStats—A method for retrieving basin and streamflow characteristics in Montana: Chapter A in Montana StreamStats

Peter M. McCarthy; DeAnn M. Dutton; Steven K. Sando; Roy Sando

The U.S. Geological Survey (USGS) provides streamflow characteristics and other related information needed by waterresource managers to protect people and property from floods, plan and manage water-resource activities, and protect water quality. Streamflow characteristics provided by the USGS, such as peak-flow and low-flow frequencies for streamflowgaging stations, are frequently used by engineers, flood forecasters, land managers, biologists, and others to guide their everyday decisions. In addition to providing streamflow characteristics at streamflow-gaging stations, the USGS also develops regional regression equations and drainage areaadjustment methods for estimating streamflow characteristics at locations on ungaged streams. Regional regression equations can be complex and often require users to determine several basin characteristics, which are physical and climatic characteristics of the stream and its drainage basin. Obtaining these basin characteristics for streamflow-gaging stations and ungaged sites traditionally has been time consuming and subjective, and led to inconsistent results. 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. Chapter A of this Scientific Investigations Report describes the Montana StreamStats application and the datasets, streamflow-gaging stations, streamflow characteristics, and regression equations (as described fully in Chapters B through G of this report) that are used for development of the StreamStats application for Montana. Introduction The U.S. Geological Survey (USGS) periodically updates and provides streamflow characteristics at streamflow-gaging stations (hereinafter referred to as gaging stations). Streamflow characteristics, such as the 1-percent flood (the streamflow that has a 1-percent chance of being exceeded in any given year, sometimes referred to as the 100-year flood) and the consecutive 7-day annual low-flow that can be expected to be lower, on average, once every 10 years (AL7Q10), are frequently used by engineers, flood forecasters, land managers, biologists, and others to protect people and property from floods, plan and manage water-resource activities, and protect water quality. In addition to streamflow characteristics, the physical and climatic characteristics of a drainage basin (basin characteristics) are often needed to understand the mechanisms controlling water availability, water quality, and aquatic habitats at various locations. Streamflow characteristics commonly are needed at locations that are not at or near a gaging station with reported streamflow characteristics. To address this need, the USGS periodically performs regional analyses of streamflow characteristics at gaging stations to develop regression equations and other predictive methods that can then be used to estimate streamflow characteristics for ungaged streams. Use of these regional regression equations for estimating streamflow characteristics can be complex and often requires the user to determine several basin characteristics that may need interpretation. Basin characteristics used in regional regression equations most commonly include the contributing drainage area and mean annual precipitation; however, other physical and climatic characteristics such as mean basin elevation and slope, evapotranspiration, and land cover also are used in the regression equations. Obtaining these basin characteristics for gaging stations and ungaged sites traditionally has been time consuming, subjective, and can lead to inconsistent results. The USGS, in cooperation with Montana Department of Transportation (MDT), Montana Department of Environmental Quality (MT DEQ), and Montana Department of Natural Resources and Conservation (MT DNRC), completed a study to develop a StreamStats application for Montana, Montana StreamStats—A Method for Retrieving Basin and Streamflow Characteristics in Montana By Peter M. McCarthy, DeAnn M. Dutton, Steven K. Sando, and Roy Sando 2 Montana StreamStats—A Method for Retrieving Basin and Streamflow Characteristics in Montana compute streamflow characteristics at gaging stations, and develop regional regression equations to estimate streamflow characteristics at ungaged sites. StreamStats is a Web-based geographic information system (GIS) application created by the USGS to provide users with access to an assortment of data and analytical tools. StreamStats provides streamflow and basin characteristics for USGS gaging stations and provides tools to delineate drainage basins, compute basin characteristics, and solve regression equations to estimate streamflow characteristics at ungaged sites.


Ecohydrology and Hydrobiology | 2015

Predicting alpine headwater stream intermittency: a case study in the northern Rocky Mountains

Roy Sando; Kyle W. Blasch


Scientific Investigations Report | 2014

Hydrogeologic framework of the uppermost principal aquifer systems in the Williston and Powder River structural basins, United States and Canada

Joanna N. Thamke; Gary D. LeCain; Derek W. Ryter; Roy Sando; Andrew J. Long


Scientific Investigations Report | 2017

A review of surface energy balance models for estimating actual evapotranspiration with remote sensing at high spatiotemporal resolution over large extents

Ryan R. McShane; Katelyn P. Driscoll; Roy Sando


Scientific Investigations Report | 2017

Estimating current and future streamflow characteristics at ungaged sites, central and eastern Montana, with application to evaluating effects of climate change on fish populations

Roy Sando; Katherine J. Chase


GSA Annual Meeting in Seattle, Washington, USA - 2017 | 2017

THE PROSPER MODEL: LEVERAGING BIG DATA TO PREDICT FLOW PERMANENCE IN SNOW-DOMINATED RIVER NETWORKS

Kristin L. Jaeger; Roy Sando; Kyle W. Blasch; Jason B. Dunham; Tana L. Haluska; David Hockman-Wert; Kendra Kaiser; Ryan R. McShane; Teresa Olsen; John C. Risley


Scientific Investigations Report | 2016

Methods for estimating streamflow characteristics at ungaged sites in western Montana based on data through water year 2009: Chapter G in Montana StreamStats

Peter M. McCarthy; Roy Sando; Steven K. Sando; DeAnn M. Dutton

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Kyle W. Blasch

United States Geological Survey

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Katherine J. Chase

United States Geological Survey

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Andrew J. Long

United States Geological Survey

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Cheryl A. Eddy-Miller

United States Geological Survey

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David Hockman-Wert

United States Geological Survey

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Janet M. Carter

United States Geological Survey

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Jason B. Dunham

United States Geological Survey

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Joanna N. Thamke

United States Geological Survey

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John C. Risley

United States Geological Survey

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