| OCR Text |
Show Final Report Hydrologic Model Analysis of the Provo River Basin particular scenario using PROSIM should be submitted to CUWCD staff. District staff will review the request and meet with the requesting party to clearly define the scenario assumptions and how those assumptions will be simulated in PROSIM ( i. e., develop a scope of work). Once agreement on the scope of work is reached, District staff will then execute a Task Order Agreement with the requesting party that specifies the scope of work, a schedule, and the obligations of each party. District staff will use PROSIM to simulate the particular scenario, compare results with baseline simulation results, and provide a summary of results to the requesting party. 5.3 Future Use of PROSIM A number of potential future uses, modifications, and upgrades to the Provo River Simulation Model are envisioned. In addition to its continued use in providing input to water supply decisions, it is likely that PROSIM will be used on other CUPCA studies of the Provo River. PROSIM could also be used to provide information while establishing operating rules for Jordanelle Reservoir and to forecast the reliability of future water supplies under drought conditions. Extending the hydrologic database to include the period 1930 through 1949 would probably be the most helpful modification to the model. This would be extremely useful because the historical drought of record occurred during this period, and because other studies of the Provo River and Jordanelle and CUP operations include this period. Another useful modification would include the development and simulation of updated future Provo River demands. PROSIM also could be used in conjunction with a water supply forecasting system. If this modification were made, the model could be used with real- time snowpack and reservoir contents data and forecasted runoff, to predict the likelihood that Jordanelle Reservoir will be able to deliver its full requested supply. A range of future potential hydrologic conditions could be applied in the model to develop a probability function for meeting full demands over the next one to three years. January 1998 Page 34 |
