Prototype Decision Support System for Operations on the Gunnison Basin with Improved Forecasts
| Autor: | Edith Zagona, Satish Kumar Regonda, Balaji Rajagopalan |
|---|---|
| Rok vydání: | 2011 |
| Předmět: |
Information management
Decision support system Meteorology Operations research Computer science Geography Planning and Development Management Monitoring Policy and Law Structural basin Water resources Decision variables Resource (project management) Decision system Streamflow Water Science and Technology Civil and Structural Engineering |
| Zdroj: | Journal of Water Resources Planning and Management. 137:428-438 |
| ISSN: | 1943-5452 0733-9496 |
| DOI: | 10.1061/(asce)wr.1943-5452.0000133 |
| Popis: | Numerous studies have developed new methods for skillful long-lead seasonal streamflow forecasts, especially in the western United States, and most assume that the streamflow forecast skills translate into improved water resources decision making, but there has been little comprehensive demonstration of this. This translation is not straightforward because the decision system is nonlinear. This paper develops a prototype decision support system (DSS) to systematically evaluate the translation of streamflow forecast skills to water resource operational variables and decision variables in the Gunnison River basin (GRB). The DSS consists of two main modules: (1) a multimodel ensemble streamflow forecast module that uses large-scale climate information and issues forecast ensembles, and (2) a decision support module (developed in the generalized decision tool, RiverWare) that captures the seasonal operations and management of the GRB water resources system. Ensembles of streamflow forecast scenarios drive the... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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