Forecasting Snowmelt Runoff: Probabilistic Model

by William T. Hanes, Hydro.; Watershed Systems Development Unit, U.S. Forest Service, Fort Collins, Colo.; formerly, Grad. Research Asst., School of Renewable National Resources, Univ. of Ariz., Tucson, Ariz.,
Lucien Duckstein, Prof.; Dept. of Systems and Industrial Engrg., Univ. of Ariz., Tucson, Ariz.,
Martin M. Fogel, (M.ASCE), Prof.; School of National Resources, Univ. of Ariz., Tucson, Ariz.,

Serial Information: Journal of the Irrigation and Drainage Division, 1977, Vol. 103, Issue 3, Pg. 343-355

Document Type: Journal Paper

Discussion: Sen Zekai (See full record)
Closure: (See full record)

Abstract: A runoff forecasting technique has been developed and applied to a small watershed in Central Arizona. A synthesized precipitation sequence obtained from an event-based stochastic model provided the inputs for a deterministic watershed snowmelt model. To account for possible combinations of precipitation sequences, a number of simulations were made which resulted in a relative frequency distribution of total seasonal runoff. In general, no significant difference was found to exist between observed and simulated precipitation data. Insufficient data prevented obtaining reasonable watershed model parameters through optimization. Nevertheless, the forecasting technique appears promising to account for uncertainty in future precipitation.

Subject Headings: Forecasting | Runoff | Watersheds | Hydrologic models | Snowmelt | Probability | Precipitation | Frequency distribution | Data processing | Optimization models | Stochastic processes | Arizona | North America | United States

Services: Buy this book/Buy this article


Return to search