Applications and References

Applications

Over the years, SAMS has been used for modeling numerous complex water resources systems, such as the Colorado River, the Great Lakes, the St. Lawrence River System, the Nile River, and the Middle Rio Grande.

Some example applications that illustrate SAMS are described in the following reports (available in pdf).

Lee, T., Salas, J.D., and Keedy, J. (2006) Simulation Study for the Colorado River System utilizing a Disaggregation model. Report submitted to the Bureau of Reclamation. Colorado State University, Department of Civil Engineering, November 2006, 110 p.

Lee, T. and Salas, J.D. (2006) Periodic Stochastic Model for Simulating Intermittent Monthly Streamflows. Report submitted to the Bureau of Reclamation. Colorado State University, Department of Civil Engineering, November 2006, 95 p.

Lee, T. and Salas, J.D. (2006) Record Extension of Monthly Flows for the Colorado River System. Report submitted to the Bureau of Reclamation. Colorado State University, Department of Civil Engineering, December 2006, 153 p.

Keedy, J.A., Salas, J.D., Fontane, D. and Merritt, D. (2007) Impact of Streamflow Variability on Colorado River System Operation. Colorado State University, Colorado Water Resources Research Institute Completion Report No. 208, 77 p.

Salas, J.D., Fu, C. and Lee, T. (2012) Stochastic Simulation of the Monthly Streamflows of the Truckee-Carson River System. Report submitted to the Bureau of Reclamation. Colorado State University, Department of Civil Engineering, June 2012, 102 p.

Other sample applications that use SAMS are listed below.

• Modeling of the Upper Colorado River flows for the CRDSS project. Ayres Associates, 1999

• Statistical analysis of the Snake River streamflows. W.L. Lane for Simons and Associates, 2000

• Stochastic analysis and modeling of hydrologic time series. Short course at the National Agriculture University, La Molina, Peru, 2000.

• Workshop on Stochastic Analysis Modeling and Simulation - Colorado State University and U.S. Bureau of Reclamation, 2001

• Analysis and simulation of the Great Lakes net basin supplies U.S. – Canada International Joint Commission, HydroQuebec, and GLERL-NOAA, 2001-2004

• Monthly and Daily streamflow simulations for sediment transport modeling, Middle Rio Grande, New Mexico. W.L. Lame for US Bureau of Reclamation, 2004

• SAMS was successfully applied to developing stochastically generated streamflow data sets for implicit stochastic optimization of reservoir operations in the Geum River Basin, South Korea. Colorado State University and the Korea Water Resources Corporation, 2004-2005

• Simulations for drought severity and frequency studies, Fort Collins water supply, Cache la Poudre River, 2005

• Stochastic generation of the monthly flows of the Truckee River system. Colorado State University and U.S. Bureau of Reclamation, 2005

• Stochastic simulation of the Colorado River System streamflows. Colorado State University and U.S. Bureau of Reclamation, 2006

• International Course on Stochastic Hydrology. National Agriculture University, La Molina, Peru, 2008

• Stochastic forecasting models. Master of Advanced Studies in Water Resources Management and Engineering, ETH, Zurich, Switzerland, 2008

References*

Hipel, K. and McLeod, A.I. (1994) Time Series Modeling of Water Resources and Environmental Systems, Elsevier, Amsterdam, 1013 pages.

Lane, W.L.,and D.K. Frevert (1990) Applied Stochastic Techniques, personal computer version 5.2, users manual, Bureau of Reclamation, U.S. Dep. of Interior, Denver, Colorado.

Salas, J.D. (1993) Analysis and Modeling of Hydrologic Time Series, Chapter 19 in Handbook of Hydrology, D.R. Maidment, editor, McGraw-Hill, 72 p.

Salas, J. D., Delleur, J. W., Yevjevich, V. and Lane, W. L. (1980) Applied Modeling of Hydrologic Time Series, Water Resources Publications, Littleton, Colorado, 484 p. (2nd Printing 1985, 3rd Printing, 1988)

Salas, J.D., Fu, C., Cancelliere, A., Dustin, D., Bode, D., Pineda, A., and Vincent, E. (2005) Characterizing the Severity and Risk of Droughts of the Poudre River, Colorado, ASCE Jour. of Water Resources Planning and Management, Vol.131 (5), 383-393.

Salas, J.D., Sveinsson, O.G., Lane, W.L., and Frevert, D.K. (2006) Stochastic Streamflow Simulation Using SAMS-2003, ASCE Jour. Irrigation and Drainage Engr., Vol.132 (2), 112-122.

Salas, J.D., Sveinsson, O., Lee, T.S., Lane, W.L., and Frevert, D.K. (2009) Developments on Stochastic Analysis, Modeling, and Simulation (SAMS 2009). American Society of Civil Engineers, EWRI World Water & Environmental Resources Congress, Great Rivers, 4840-4849.

Sveinsson (2014) Time Series Analysis of Hydrologic Data. Chapter 27 in Handbook of Engineering Hydrology: Modeling, Climate Change, and Variability, edited by Saeid Eslamian, CRC Press, pp. 553-574, DOI: 10.1201/b16683-28

Sveinsson, O.G.B, Salas, J.D., Lane, W.L., and Frevert, D.K. (2003) Progress in Stochastic Analysis, Modeling, and Simulation: SAMS-2003. Hydrology Days 2003, Colorado State University, pp. 165-175.

Nile River System Streamflow Simulation Reports - Computing Hydrology Laboratory, Colorado State University

Molnár P., J. D. Salas, and J. A. Ramírez (1995) The Nile River System Streamflow Simulation Model. Technical Report No. 4 - Computing Hydrology Laboratory, Hydrologic Science and Engineering Program, Civil Engineering Department, CSU, 110 p.

Salas, J.D., Saada, N.M, and Chung, C-H. (1995) Stochastic Modeling and Simulation of the Nile River System Monthly Flows. Technical Report No. 5 - Computing Hydrology Laboratory, Hydrologic Science and Engineering Program, Civil Engineering Department, CSU, 252 p.

Molnár P., J. A. Ramírez, and J. D. Salas (1995) Analysis of Operations of the Nile River System. Technical Report No. 6 - Computing Hydrology Laboratory, Hydrologic Science and Engineering Program, Civil Engineering Department, CSU, 119 p.

*The above references are provided here for academic, teaching, and research purposes only.