FORECASTING SNOWMELT RUNOFF; PROBABILISTIC MODEL

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. /ASCE/

• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/07339437
• Corporate Authors:

  American Society of Civil Engineers

  345 East 47th Street
  New York, NY  United States  10017-2398
• Authors:
  • Hanes, W T
  • Fogel, M M
  • Duckstein, L
• Publication Date: 1977-3

Media Info

• Features: Figures; References; Tables;
• Pagination: p. 343-355
• Serial:
  • Journal of Irrigation and Drainage Engineering
  • Volume: 103
  • Issue Number: IR3
  • Publisher: American Society of Civil Engineers
  • ISSN: 0733-9437
  • Serial URL: https://ascelibrary.org/journal/jidedh

Subject/Index Terms

• TRT Terms: Mathematical models; Runoff; Simulation; Snowmelt; Watersheds; Weather forecasting
• Uncontrolled Terms: Models
• Old TRIS Terms: Precipitation
• Subject Areas: Highways; Hydraulics and Hydrology;

Filing Info

• Accession Number: 00164888
• Record Type: Publication
• Report/Paper Numbers: ASCE 13235
• Files: TRIS
• Created Date: Nov 23 1977 12:00AM