Creating a Shared Vision Model. What is a Shared Vision Model?. A “Shared Vision” model is a collective view of a water resources system developed by managers and stakeholders. It is used to facilitate plan development, implementation and maintenance. Wait a second!
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A “Shared Vision” model is a collective view of a water resources system developed by managers and stakeholders. It is used to facilitate plan development, implementation and maintenance.
Why discuss Shared Vision Models now?
Are Shared Vision Models part of the seven steps?
Shared Vision Models can enhance each stage of the planning process
Establish the status quo
Assess the impacts of a plan
Facilitate plan implementation
Maintain plan effectiveness
Traditional water resources models
Common model limitations as planning tools
Model Development Interface
Model Development Training Required
Mode of Use
Training to Use
Ease of Understanding
HighComparison of Traditional and Object-Oriented Simulation Environments
Shared Vision Models
Shared Vision Models should
Collectively the model development team should possess
Step 1. Define modeling objectives
Step 2. Structure the model development process
Step 3. Conceptualize the system
Step 4. Construct model
Step 5. Evaluate and test the model
Step 6. Confirm stakeholder endorsement
Step 7. Enhance/modify model
Step 8. Establish guidance for ongoing model use
Modeling objectives define what should be accomplished by the modeling effort.
To define modeling objectives we must ask
As well as
Layout System Components
Indicate Which Components are Related
Specify Functional Relationships
Gather Necessary Data
Incorporate Data Into the Model
Document Model Diagram and EquationsStep 4. Construct Model
Steps in Model Construction:
Create Tables and Graphs
Create User Interface
Planning objectives Hydrology
Reservoirs Ground water supplies
Operating policies Constraints
Triggers Water rights priorities
Regulations & policies Performance measures
Robust documentation Modeling assumptions
Stakeholders, managers, and analysts must verify that
With the verified model, we must ensure that the model can mimic past system behavior:
Appropriate metrics must be used to compare model output with historical data.
During sensitivity analysis we determine
This provides an understanding of
To obtain model endorsement, model developers must
Before making model enhancements
To ensure continued model usefulness managers and stakeholders must