Stochastic Streamflow Simulation Using SAMS-2003
Publication: Journal of Irrigation and Drainage Engineering
Volume 132, Issue 2
Abstract
SAMS is a specialized software that has been developed for analyzing, modeling, and generating synthetic samples of hydrologic and water resources time series such as monthly streamflows. The 2003 version of SAMS provides enhanced technical capabilities from the earlier versions of the software. The graphical user interface and the mechanisms for handling the data have been entirely rewritten in MS Visual C++. As a result SAMS-2003 is easier to use and easier to update and maintain. In addition, substantial changes and restructuring have been made to enhance the modeling and data generation capabilities. The package provides many menu option windows that focus on three primary application modules—statistical analysis of data, fitting of a stochastic model (including parameter estimation and testing), and generating synthetic series. SAMS has the capability of analyzing and modeling single site and multisite annual and seasonal data such as monthly and weekly streamflows based on a number of single site and multisite stochastic models, and aggregation and disaggregation modeling schemes. The models are then utilized for generating synthetic data. Results from the various computations, e.g., the generated samples, can be presented in graphical and tabular forms and, if desired, saved to an output file. Some illustrations are provided to demonstrate the improved technical capabilities of the program using flow data of the Colorado River system.
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Acknowledgments
The effort reported in this paper has been financed, in large part by the Science and Technology Program of the United States Bureau of Reclamation, with kind services from Colorado State University (CSU), the Bureau of Reclamation’s Lower Colorado Regional Office and Technical Service Center, the Bonneville Power Administration, the Great Lakes Environmental Research Laboratory, NOAA, and HydroQuebec, Canada. SAMS was developed under the direction of J.D. Salas, W. Lane, and D. Frevert with substantial contributions to the capabilities of previous versions of SAMS made by former CSU graduate students, namely: M. AbdelMohsen, N. Saada, and C. Chung. The new version SAMS-2003 has been developed building upon the previous versions but with substantial changes and restructuring made by O.G. Sveinsson, also a former CSU graduate student. The technical effort to utilize the stochastic database in RIVERWARE on the Colorado River Basin has been strongly supported by Dr. T. Fulp of the Bureau of Reclamation’s Lower Colorado Regional Office, by Mr. D. King of the Bureau of Reclamation’s Technical Service Center, and by Dr. E. Zagona and Mr. J. Prairie of the University of Colorado’s Center for Advanced Decision Support for Water and Environmental Systems.
References
Frevert, D. K., and Cheney, R. W. (1988). “Alternative methods of generating hydrologic data for reservoir optimization.” Proc., American Society of Civil Engineers Water Resources Operations Management Workshop on Computerized Decision Support Systems for Water Managers, Water Resources Planning and Management Division, ASCE, Reston, Va.
Frevert, D. K., Cowan, M. S., and Lane, W. L. (1989). “Use of stochastic hydrology in reservoir operations.” J. Irrig. Drain. Eng., 115(3), 334–343.
Fulp, T., and Harkins, J. (2001). “Policy analysis using RiverWare: Colorado River interim surplus guidelines.” Proc., Bridging the Gap: Meeting the World’s Water and Environmental Resources Challenges, ASCE, Reston, Va.
Grygier, J. C., and Stedinger, J. R. (1988). “Condensed disaggregation procedures and conservation corrections for stochastic hydrology.” Water Resour. Res., 24(10), 1574–1584.
Grygier, J. C., and Stedinger, J. R. (1990). SPIGOT, a synthetic streamflow generation software package: Version 2.5, School of Civil and Environmental Engineering, Cornell Univ., Ithaca, N.Y.
Hipel, K. W., and McLeod, A. I. (1978). “Preservation of the rescaled adjusted range: 2. Simulation studies using box-Jenkins models.” Water Resour. Res., 14(3), 509–516.
Hipel, K. W., and McLeod, A. I. (1994). Time series modeling of water resources and environmental systems, Developments in Water Science Vol. 45, Elsevier, Amsterdam, The Netherlands.
House, P. M., and Ungvari, J. L. (1983). “Indexed sequential modeling of hydropower system operations.” Proc., Water Power 83 Int. Conf. on Hydropower, Vol. 2, Knoxville, Tenn., 1046–1055.
Lane, W. L. (1979). Applied stochastic techniques (last computer package), users manual, Division of Planning Technical Services, Bureau of Reclamation, Denver.
Lane, W. L., and Frevert, D. K. (1990). Applied stochastic techniques, personal computer version 5.2, user’s manual, Earth Sciences Division, United States Bureau of Reclamation, Denver.
Linsley, R. K., Kohler, M. A., and Paulhus, J. L. H. (1986). Hydrology for engineers, McGraw-Hill, New York.
Loucks, P., Stedinger, J. R., and Haith, D. A. (1981). Water resources systems planning and analysis, Prentice-Hall, Englewood Cliffs, N.J.
Salas, J. D. (1993). “Analysis and modeling of hydrologic time series.” Handbook of hydrology, D. R. Maidment, ed., McGraw-Hill, New York.
Salas, J. D., Delleur, J., Yevjevich, V., and Lane, W. (1980). Applied modeling of hydrologic time series, Water Resources Publications, Littleton, Colo.
Shumway, R. H., and Stoffer, D. S. (2000). Time series analysis and its applications, Springer, New York.
United States Army Corps of Engineers (USACE). (1971). HEC-4 monthly streamflow simulation, Hydrologic Engineering Center, Davis, Calif.
United States Bureau of Reclamation (USBR). (1986). “Executive summary, Colorado River alternative operating strategies for distributing surplus water and avoiding spills.” USBR, Denver.
Wallis, J. R., and O’Connell, P. E. (1972). “Small sample estimation of .” Water Resour. Res., 8(3), 707–712.
Zagona, E. A., Fulp, T. J., Shane, R., Magee, T., and Goranflo, H. M. (2001). “RiverWare: A generalized tool for complex reservoir systems modeling.” J. Am. Water Resour. Assoc., 37(4), 913–929.
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Published In
Journal of Irrigation and Drainage Engineering
Volume 132 • Issue 2 • April 2006
Pages: 112 - 122
Copyright
© 2006 ASCE.
History
Received: Feb 6, 2003
Accepted: May 28, 2003
Published online: Apr 1, 2006
Published in print: Apr 2006
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