A computer program for estimating instream travel times and concentrations of a potential contaminant in the Yellowstone River, Montana

McCarthy, Peter M.

doi:10.3133/sir20065057

Cited by 3 publications

(13 citation statements)

References 6 publications

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“…Mean annual streamflow for the Bighorn River is 3,860 ft 3 /s, whereas the mean annual streamflows for the Tongue River and Powder River are 409 ft 3 /s, and 576 ft 3 /s, respectively (McCarthy, 2005). The channel slope of the Yellowstone River within the study reach ranged from 10.6 ft/mi at Billings to 3.2 ft/mi at Glendive (McCarthy, 2006). The channel substrate changes from large cobbles mixed with large gravel and small boulders at Billings to gravel and sand at Glendive.…”

Section: Description Of the Study Areamentioning

confidence: 86%

“…These data were used to determine travel times, streamflow velocities, and longitudinal dispersion rates for a 266-mi reach of the Yellowstone River from Lockwood to Glendive. Included in this report are the time-of-travel data collected during the dye tracer study, analysis of the data to determine streamflow velocities and longitudinal dispersion rates, and comparisons of the data to estimates from the transport model developed by McCarthy (2006). The traveltime data collected and analyzed for this study are in appendixes 1-4 [Compact Disk-Read Only Memory (CD-ROM) located in the inside back cover].…”

Section: Purpose and Scopementioning

confidence: 99%

“…Data from this dye-tracer study were used to evaluate velocity and concentration estimates from the transport model developed by McCarthy (2006). The transport model uses equations developed by Jobson (1999) based on data from numerous dye-tracer studies conducted throughout the United States.…”

Section: Evaluation Of the Transport-model Estimatesmentioning

confidence: 99%

“…The transport model uses several variables to estimate streamflow velocity, one of which is the stream slope. The slope used in the transport model (McCarthy, 2006) was an average slope for long reaches of the Yellowstone River. For example, the transport model uses an average slope (about 4.7 ft/mi) for the subreach between Lockwood and the confluence with the Bighorn River even though the stream slope varies from 7.1 ft/mi at the upstream end of this subreach to 4.1 ft/mi at the downstream end of this subreach.…”

Section: Evaluation Of the Transport-model Estimatesmentioning

confidence: 99%

“…This model utilizes regression equations developed by Jobson (1999), which were based on empirical time-of-travel data from numerous dye-tracer studies conducted throughout the United States. The model developed by McCarthy (2006) was not calibrated because travel-time data were not available. However, precipitation-driven flood-wave velocities were estimated using hydrographs, and these velocities were used to constrain the model in lieu of measured travel-time data.…”

Section: Introductionmentioning

confidence: 99%

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Travel Times, Streamflow Velocities, and Dispersion Rates in the Yellowstone River, Montana

McCarthy¹

2009

Scientific Investigations Report

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Velocity-streamflow relations developed by using routine streamflow measurements at USGS gaging stations and the transport model can be used to estimate mean streamflow velocities throughout a range of streamflows. The variation in these velocity-streamflow relations emphasizes the uncertainty in estimating the mean streamflow velocity for streamflows outside of the streamflows measured in this study.

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Section: Description Of the Study Areamentioning

confidence: 86%

Section: Purpose and Scopementioning

confidence: 99%

Section: Evaluation Of the Transport-model Estimatesmentioning

confidence: 99%

Section: Evaluation Of the Transport-model Estimatesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Travel Times, Streamflow Velocities, and Dispersion Rates in the Yellowstone River, Montana

McCarthy¹

2009

Scientific Investigations Report

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Model‐Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 1. Model Development and Application

Flynn

Suplee

Chapra

et al. 2014

J American Water Resour Assoc

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An initial inquiry into model-based numeric nitrogen and phosphorus (nutrient) criteria for large rivers is presented. Field data collection and associated modeling were conducted on a segment of the lower Yellowstone River in the northwestern United States to assess the feasibility of deriving numeric nutrient criteria using mechanistic water-quality models. The steady-state one-dimensional model QUAL2K and a transect-based companion model AT2K were calibrated and confirmed against low-flow conditions at a time when river loadings, water column chemistry, and diurnal indicators were approximately steady state. Predictive simulation was then implemented via nutrient perturbation to evaluate the steady-state and diurnal response of the river to incremental nutrient additions. In this first part of a two-part series, we detail our modeling approach, model selection, calibration and confirmation, sensitivity analysis, model outcomes, and associated uncertainty. In the second part (Suplee et al., 2015) we describe the criteria development process using the tools described herein. Both articles provide a fundamental understanding of the process required to develop site-specific numeric nutrient criteria using models in applied regulatory settings.(KEY TERMS: nutrient criteria; model; large river; eutrophication; QUAL2K; AT2K; Monte Carlo; water quality; regulation; Yellowstone River.) Flynn, Kyle F., Michael W. Suplee, Steven C. Chapra, and Hua Tao, 2015. Model-Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 1. Model Development and Application.

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Occurrence, fate, and transport of aerially applied herbicides to control invasive buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18

Paretti¹,

Beisner²,

Gungle³

et al. 2021

Scientific Investigations Report

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Temperature in degrees Fahrenheit (°F) may be converted to degrees Celsius (°C) as follows:°C = (°F -32) / 1.8. DatumVertical coordinate information is referenced to the North American Vertical Datum of 1988 (NAVD 88).Horizontal coordinate information is referenced to the North American Datum of 1983 (NAD 83). Element R Standard identity and reference Hydrogen Hydrogen-2/hydrogen-1 (δ 2 H) Vienna Standard Mean Ocean Water (Fritz and Fontes, 1980) Oxygen Oxygen-18/oxygen-16 (δ 18O ) Vienna Standard Mean Ocean Water Stable isotope ratios of oxygen ( 18 O/ 16 O) and hydrogen ( 2 H [deuterium]/ 1 H) are shown in delta (δ) notation as δ 18 O and δ 2 H, in per mil (parts per thousand). viii ix Abbreviations a.i. active ingredient a.e. acid equivalent AMPA aminomethylphosphonic acid δ 2 H a measure of the ratio of stable isotopes hydrogen-2 and hydrogen-1 δ 18 O a measure of the ratio of stable isotopes oxygen-18 and oxygen-16 GBH glyphosate-based herbicide K ow octanol-water partitioning coefficient LC50 Acute toxicity testing determines what constitutes a lethal concentration of a substance for 50 percent of a given animal population LOAEC lowest-observed-adverse-effect concentration NOAEC no-observed-adverse-effect concentration

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A computer program for estimating instream travel times and concentrations of a potential contaminant in the Yellowstone River, Montana

Cited by 3 publications

References 6 publications

Travel Times, Streamflow Velocities, and Dispersion Rates in the Yellowstone River, Montana

Travel Times, Streamflow Velocities, and Dispersion Rates in the Yellowstone River, Montana

Model‐Based Nitrogen and Phosphorus (Nutrient) Criteria for Large Temperate Rivers: 1. Model Development and Application

Occurrence, fate, and transport of aerially applied herbicides to control invasive buffelgrass within Saguaro National Park Rincon Mountain District, Arizona, 2015–18

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