San Carlos Apache Water Delivery Project

1
San Carlos Apache Water Delivery Project

• David Neumann
• June 18, 2003

2
Outline

• Company background
• Project background
• Problem definition
• Proposed approach
• Optimization
• Operations model
• Summary

3
Who are the Stetson Engineers?

• We design, test, and manufacture fine hats

4
Stetson Engineers

• 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

5
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

6
Project Location
7
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

8
Water Supply Locations
9
Work Timeline

• Completed
• Reconnaissance analysis
• Appraisal analysis
• Determined three concept alternatives
• Next Step
• Feasibility study
• Detailed environmental impacts analysis (EIS/EIR)

10
Project Alternatives

• Three alternatives consist of
• Pumping stations
• Distribution pipelines and canals
• On and off stream reservoirs
• Groundwater recharge and pumping
• Pass-through reservoirs

11
Project DescriptionAlternative 1
12
Problem definition

• We need tools to
• Further investigate project sizing and operating
  policy
• Analyze the impacts of the projects on
• Hydrology
• Water quality

13
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

14
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

15
Optimization layout
16
Problems with the optimization Model

• Time step
• Perfect foresight
• Simplified operating rules
• Linearization errors

17
RiverWare Operations Model

• Operations model will take the project sizes from
  the optimization model
• Verify that sizing criteria has been met
• Determine impacts

18
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

19
RiverWare workspace
20
Operations Model

• Analyze impacts on
• Flow timing and magnitude
• Reservoir storage
• Minimum flows
• Water quality

21
Water Quality

• Total dissolved solids
• Temperature
• Dissolved oxygen
• RiverWare?

22
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

23
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

24
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

25
Questions?
Coolidge Dam and San Carlos Reservoir