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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?.
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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