Watershed models for decision support in the Yakima River basin, Washington

Mastin, Mark C.; Vaccaro, J.J.

doi:10.3133/ofr02404

Cited by 25 publications

(34 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…PRMS is well-suited for modeling runoff from rural basins and has been applied to many basins in the United States including the Dennys River Basin (Dudley, 2008), Willamette River Basin, Oregon (Laenen and Risley, 1997), Methow River Basin, Washington (Ely and Risley, 2001;Ely 2003), Yakima River Basin, Washington (Mastin and Vaccaro, 2002), Feather River Basin, California (Koczot and others, 2004), Yampa River Basin, Colorado (Parker and Norris, 1989), Ah-Shi-Sle-Pah Wash Basin, New Mexico (Hejl, 1989), Lake Tahoe and Truckee River Basins, California and Nevada (Jeton, 1999a, b), Williams Draw and Bush Draw Basins, Colorado (Kuhn, 1989), Tug Fork River Basin of Kentucky, Virginia, and West Virginia (Scott, 1984), 10 basins in Vermont (Olson, 2002), and Bald Mountain and Bishop Mountain Brook Basins, Maine (Fontaine, 1987). PRMS is a deterministic, distributed-parameter modeling system.…”

Section: Watershed Modelmentioning

confidence: 99%

Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models

Dudley¹,

Nielsen²

2011

Scientific Investigations Report

View full text Add to dashboard Cite

For more information on the USGS-the Federal source for science about the Earth, its natural and living resources, natural hazards, and the environment, visit http://www.usgs.gov or call 1-888-ASK-USGS For an overview of USGS information products, including maps, imagery, and publications, visit http://www.usgs.gov/pubprodTo order this and other USGS information products, visit http://store.usgs.gov Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.Although this report is in the public domain, permission must be secured from the individual copyright owners to reproduce any copyrighted materials contained within this report.Suggested citation: Dudley, R.W., and Nielsen, M.G., 2011, Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models: U.S. Geological Survey Scientific Investigations Report 2010-5221, 31 p., at http://pubs.usgs.gov/sir/2010/5221/. (01022260), Narraguagus (01022500), Sheepscot (01038000), and Royal Rivers (01060000) AbstractThe U.S. Geological Survey (USGS) began a study in 2008 to investigate anticipated changes in summer streamflows and stream temperatures in four coastal Maine river basins and the potential effects of those changes on populations of endangered Atlantic salmon. To achieve this purpose, it was necessary to characterize the quantity and timing of streamflow in these rivers by developing and evaluating a distributed-parameter watershed model for a part of each river basin by using the USGS Precipitation-Runoff Modeling System (PRMS). The GIS (geographic information system) Weasel, a USGS software application, was used to delineate the four study basins and their many subbasins, and to derive parameters for their geographic features. The models were calibrated using a four-step optimization procedure in which model output was evaluated against four datasets for calibrating solar radiation, potential evapotranspiration, annual and seasonal water balances, and daily streamflows. The calibration procedure involved thousands of model runs that used the USGS software application Luca (Let us calibrate). Luca uses the Shuffled Complex Evolution (SCE) global search algorithm to calibrate the model parameters. The calibrated watershed models performed satisfactorily, in that Nash-Sutcliffe efficiency (NSE) statistic values for the calibration periods ranged from 0.59 to 0.75 (on a scale of negative infinity to 1) and NSE statistic values for the evaluation periods ranged from 0.55 to 0.73.The calibrated watershed models simulate daily streamflow at many locations in each study basin. These models enable natural resources managers to characterize the timing and amount of streamflow in order to support a variety of water-resources efforts including water-quality calculations, assessments of water use, modeling of population dynamics and migration of Atlantic salmon, modeling and assessment of habitat, and simulation of anticipated changes to streamflow ...

show abstract

Section: Watershed Modelmentioning

confidence: 99%

Simulation of streamflow in the Pleasant, Narraguagus, Sheepscot, and Royal Rivers, Maine, using watershed models

Dudley¹,

Nielsen²

2011

Scientific Investigations Report

View full text Add to dashboard Cite

show abstract

“…The original soil moisture balance module was replaced by a new one modified by Mastin and Vaccaro (2002). The general schematics of the various modules constituting PRMS is shown in Fig.…”

Section: Model Building Using the Modular Modeling Systemmentioning

confidence: 99%

“…For this soil type, the actual evapotranspiration was set to 1769 mm, which approximates the mean annual evaporation from Lake Ziway (Vallet-Coulomb et al, 2001). Moreover, land cover parameters were made to represent bare ground as suggested by Mastin and Vaccaro (2002). This way the vast wetland area in the Meki catchment was modeled as one HRU.…”

Section: Model Building Using the Modular Modeling Systemmentioning

confidence: 99%

See 1 more Smart Citation

Streamflow sensitivity to climate and land cover changes: Meki River, Ethiopia

Legesse

Abiye²,

Vallet‐Coulomb³

et al. 2010

Hydrol. Earth Syst. Sci.

View full text Add to dashboard Cite

Abstract. Impacts of climate and land cover changes on streamflow were assessed using a hydrological modeling. The precipitation runoff modeling system of the US Geological Survey was modified in order to consider wetlands as a separate hydrological response unit. Initial model parameters were obtained from a previously modeled adjacent catchment and subsequent calibration and validation were carried out. The model calibration and validation periods were divided into three. The calibration period was a five years period (1981)(1982)(1983)(1984)(1985)(1986)). The validation period was divided into two: validation 1 (1986-1991) and validation 2 (1996-2002). Model performance was evaluated by using joint plots of daily and monthly observed and simulated runoff hydrographs and different coefficients of efficiency. The model coefficients of efficiency were 0.71 for the calibration period and 0.69 and 0.66 for validation periods 1 and 2, respectively. A "delta-change" method was used to formulate climatic scenarios. One land cover change scenario was also used to assess the likely impacts of these changes on the runoff. The results of the scenario analysis showed that the basin is more sensitive to increase in rainfall (+80% for +20%) than to a decrease (−62% for −20%). The rainfall elasticity is 4:1 for a 20% increase in rainfall while it is 3:1 for a 20% reduction. A 1.5 • c increase in temperature resulted in a 6% increase in potential evapotranspiration and 13% decrease in streamflow. This indicates that the watershed is more elastic to rainfall increase than temperature. The proposed land cover scenario of converting areas between 2000 to 3000 m a.s.l. to woodland also resulted in a significant decrease in streamflow (11.8%). The study showed that properly calibrated and validated models could help understand likely impacts of climate and land cover changes on catchment water balance.

show abstract

“…The U.S. Bureau of Reclamation (USBR) is collaborating with the U.S. Geologic Survey (USGS) and university researchers to explore alternative streamflow forecast methods for a number of small western U.S. basins (Grantz et al 2005;Mastin and Vaccaro 2002). One of the most mature existing efforts to operationalize alternative streamflow-forecasting methods and incorporate them into water resources management is a model-based, interagency (state and federal) collaboration known as INFORM (the Integrated Forecast and Reservoir Management Project; Georgakakos et al 2005).…”

mentioning

confidence: 99%