Water Management in the face of droughts require - Skilful Hydrologic Forecasting/Simulation Tool
- Statistical or Hydrologic Models (PRMS, SWAT, etc.)
- for ~seasonal time scales
- Stochastic Flow Simulation tools for longer term (multi-year, decades) planning and management
- Decision Support tool of the agriculture/water resources system
Seasonal Streamflow Forecast/ Simulation Hydrologic Models Statistical Models - Nonlinear Regression approach for ensemble forecasts
- [incorporating large-scale land-ocean-atmospheric information, Grantz et al., 2005; Regonda et al., 2006]
- Skilful, provides uncertainty estimates via ensembles
Truckee / Carson Basin - Application Study Area - Hydroclimatology, Management
Spring Streamflow Forecast Models - [incorporating large-scale land-ocean-atmospheric information, Grantz et al., 2005]
Decision Support Model Drive the streamflow forecast through the decision model. Investigate skills in the decision variables
Primarily snowmelt driven basins (April, May, June) Correlate Fall/ Winter Climate Signals with AMJ Streamflow
Management Issues Irrigation/Agriculture decisions on the Newland Irrigation district are made in Feb much before the peak flow occurs So, skilful long-lead seasonal streamflow forecasts on Truckee and Carson Rivers are required - How storage targets will be met
- on the Lahonton reservoir for
- irrigation
- How much water to divert
- from Truckee to Carson via
- the Truckee Canal
- How much water will be
- available for Irrigation
Decision Variables
Truckee-Carson RiverWare Model
Winter Climate Link
Identified large scale land-ocean-atmosphere predictors for Truckee/Carson spring (April-June total) streamflow Used a Nonlinear regression framework (local polynomials) to generate ensemble of spring streamflow forecasts Forecasts issued on the 1st of each month starting from Nov 1st through April 1st (RPSS = 1 implies categorical forecast, 0, no better than climatology)
Forecasting Results
Forecast Ensembles are Used to drive the Decision Support System for the Truckee/Carson Baisn (Forecast skills of the decision variables evaluated)
Decision Model Results
Dry Year: 1994
Wet Year: 1993
Normal Year: 2003
Exceedance Probabilities
Summary Developed a streamflow forecast framework incorporating large-scale ocean-atmospheric-land variables Skilful long-lead streamflow forecasts obtained on the Truckee/Carson river basin ~4-5 months ahead of the spring peak flow Developed a Decision Support System that incorporates all the management aspects of the water resources system Skilful streamflow forecasts translated into skills in the decision variables – especially the amount of flow available for irrigation The Integrated streamflow-Decision Support System provides a robust framework for effective management of droughts both in the short and longer time scales Streamflow scenarios can be generated conditioned on climate change, land use change, water use change etc. and management/decision strategies evaluated
Acknowledgements Ms. Katrina Grantz for USBR Truckee Office for financial support of this study CADSWES for computation and logistics support
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