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This project aims to develop a water delivery system for the San Carlos Apache Tribe, optimizing project sizes and operations for irrigation. It includes an optimization model and a RiverWare operations model for analysis.
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San Carlos Apache Water Delivery Project David Neumann June 18, 2003
Tribe’s Existing Black River pump station Outline • Company background • Project background • Problem definition • Proposed approach • Optimization • Operations model • Summary
Wrong Stetson! Who are the Stetson Engineers? • We design, test, and manufacture fine hats
Established in 1958 Offices in California and Arizona 60 employees Clients include: Indian tribes, water districts, state, federal, local governments Engineering services include: Surface water Agricultural Water rights Groundwater Environmental Municipal Stetson Engineers
What is the San Carlos Apache Water Delivery project • Develop up to 77,000AF/year of CAP and other waters for agriculture and other uses • We have been tasked to: • Develop and evaluate alternative delivery plans
Water Delivery Project Goals • Develop an irrigation project that has the lowest cost and highest benefit • Fully use water rights and funding provided by the government • Develop various parts of the reservation
Work Timeline • Completed: • Reconnaissance analysis • Appraisal analysis • Determined three concept alternatives • Next Step: • Feasibility study • Detailed environmental impacts analysis (EIS/EIR)
Project Alternatives • Three alternatives consist of: • Pumping stations • Distribution pipelines and canals • On and off stream reservoirs • Groundwater recharge and pumping • Pass-through reservoirs
Problem definition • We need tools to: • Further investigate project sizing and operating policy • Analyze the impacts of the projects on • Hydrology • Water quality
Two models • Optimization – Prescriptive: Calculate best project sizes and operations to meet a flow criteria • Operations – Descriptive: Calculate storage and flows given project size and operations
Optimization Model • Use an efficient algorithm to get the most cost-effective project sizes and number of acres to irrigate • Start with a loosely constrained model • Add constraints to see their effect
Problems with the optimization Model • Time step • Perfect foresight • Simplified operating rules • Linearization errors
RiverWare Operations Model • Operations model will take the project sizes from the optimization model • Verify that sizing criteria has been met • Determine impacts
RiverWare Model development • Model and rules are under development • Difficult to write rules when project operations are unclear • First, develop operating goals • Resulting rules are not very complicated except: • Exchange mechanism • Pumping priority and water rights • Multiple diversions from same object
Operations Model • Analyze impacts on: • Flow timing and magnitude • Reservoir storage • Minimum flows • Water quality
Water Quality • Total dissolved solids • Temperature • Dissolved oxygen • RiverWare?
Proposed approach • Determine project operations • Optimize project sizes and irrigated acreage • Run operations model • Verify project sizes and operations • Repeat steps 1 – 4 until project sizes and operations are finalized • Investigate hydrologic impacts • Investigate water quality impacts
Additional technical issues • Ungaged flow development • 50 years of daily data • Organizing model inputs, runs, and results • 4 Alternatives including No Action • 4 RiverWare models • 4 RiverWare rulesets • 3 Optimization models
Summary • Develop a water delivery system for the San Carlos Apache Tribe • Will use the following modeling tools: • An optimization model to size projects and determine number of acres to irrigate • A RiverWare operations model to verify optimization and analyze impacts for an EIS/EIR
Questions? Coolidge Dam and San Carlos Reservoir