Investigating the Colorado River Simulation Model PowerPoint PPT Presentation

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Title: Investigating the Colorado River Simulation Model


1
Investigating the Colorado River Simulation Model
  • James Prairie
  • Bureau of Reclamation

2
Motivation
  • Colorado River Basin
  • arid and semi-arid climates
  • irrigation demands for agriculture
  • Federal Water Pollution Control Act Amendments of
    1972
  • Law of the River
  • Minute No. 242 of the International Boundary and
    Water Commission dated August 30, 1973
  • Colorado River Basin Salinity Control Act of 1974

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Salinity Damages and Control Efforts
  • Damages are presently, aprox. 330 million/year
  • As of 1998 salinity control projects has removed
    an estimated 634 Ktons of salt from the river
  • total expenditure through 1998 426 million
  • Proposed projects will remove an additional 390
    Ktons
  • projects additional expenditure 170 million
  • Additional 453 Ktons of salinity controls needed
    by 2015

Data taken from Quality of Water, Progress Report
19, 1999 Progress Report 20,2001
5
Seminar Outline
  • Motivation for research
  • Initial findings
  • Working with a case study
  • New salinity modeling techniques
  • Extending knowledge of our case study
  • Current Efforts
  • Recompute Natural flow
  • Verify entire Colorado River Simulation Model
  • Future Research

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Research Objectives
  • Verify the data and calibrate the current model
    for both water quantity and water quality (total
    dissolved solids, or TDS)
  • Investigate the salinity methodologies currently
    used and improving them as necessary for future
    projection

10
Investigation of Colorado River Simulation Model
  • First developed in Fortran in 1970s
  • Moved to RiverWare in 1990s
  • Relies on Conservation of Mass for modeling
  • water quantity and,
  • water quality (TDS).
  • Monthly Time Step
  • Runs with operational rules to simulate
    operational policies in the Colorado River Basin

11
Initial Findings
  • Data and Methodological Inconsistency
  • Need to improve current model techniques
  • Stochastic stream flow simulation
  • Estimating natural salt
  • Adding uncertainty
  • Working with a case study
  • Detailed investigation of current methods
  • Development of new methods

12
Case Study Area
  • Historic flow from 1906 - 95
  • Historic salt from 1941 - 95

USGS gauge 09072500 (Colorado River near Glenwood
Springs, CO)
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USGS Salt Model
  • 12 monthly regressions
  • based on observed historic flow and salt mass
    from water year 1941 to 1983
  • historic salt f (historic flow, several
    development variables)
  • natural salt f (natural flow, development
    variables set to zero)

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Existing Salt Model Over-Prediction
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New Modeling Techniques
  • Found problems with the current method to
    estimate natural salt in the upper basin
  • Can we fix the problem?
  • Alternate methods the estimate natural salt with
    the available data

16
Statistical Nonparametric Model for Natural Salt
Estimation
  • Based on calculated natural flow and natural salt
    mass from water year 1941-85
  • calculated natural flow observed historic
    flow total depletions
  • calculated natural salt observed historic
    salt - salt added from agriculture salt
    removed with exports
  • Nonparametric regression (local regression)
  • natural salt f (natural flow)
  • Residual resampling

17
Local Regression
alpha 0.3 or 27 neighbors
Y
X
18
Residual Resampling
y y e
Y
X
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Nonparametric Salt Model and USGS Salt Model
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Natural Salt Mass from Nonparametric Salt Model
and USGS Salt Model
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USGS Salt Model and New Salt Model with K-NN
Resampling Comparison
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Comparison with Observed Historic Salt
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Key Case Study Findings
  • The new nonparametric salt model removed the
    over-prediction seen with the USGS salt model
  • Provides uncertainty estimates
  • Can capture any arbitrary relationship (linear or
    nonlinear)

24
Extending from Case Study
  • Applying case study results to entire model
  • Improved natural salt estimation model
  • Improved stochastic stream flow generation
  • Addition of uncertainty analysis
  • Ensure flexible framework

25
Current Efforts
  • Recomputing natural flow
  • Lack of base data
  • Undocumented procedure
  • Upper versus Lower Basin
  • Inconsistency across time periods
  • Inconsistent with future projection model

26
Natural Flow Development
  • Natural flow is a basic input for CRSS
  • Addressing Data Inconsistencies
  • Recomputing natural flow from 1971-95
  • Natural Flow Historic Flow
  • - Consumptive
    Uses and Losses
  • /- Reservoir Regulation
  • Addressing Methodological Inconsistencies
  • RiverWare model computes natural flow
  • Ensures consistency

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Recomputing natural flow from 1971-95
  • Data required for natural flow model
  • Historic USGS gauge data
  • 29 gauges
  • Historic main-stem reservoir outflow and pool
    elevations
  • 12 main-stem reservoirs
  • Historic off-stream reservoir change in storage
  • 22 off-stream reservoirs
  • Consumptive uses and losses
  • 9 categories

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Determining Natural Flow
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After Natural Flow Is Calculated
  • Extend new natural salt model throughout the 21
    upper basin natural flow gauges
  • Check natural flow and salt relationship
  • 1941-1995 1970-1995
  • Calculate natural flow for the lower basin
  • Natural salt is back calculated as flow
  • Verify entire basin for flow and the lower basin
    for salt
  • Finally use more for a future projection
  • Apr-Jul 2003
  • Aug-Sep 2003
  • Oct-Nov 2003
  • Dec 2003

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Future Research
  • Explore salinity relationship over both space and
    time
  • Incorporate new stochastic flow generation
    methods
  • Investigate land use change and the impacts on
    salinity levels
  • Explore the relationship between basin area and
    both flow and salinity

32
Acknowledgements
  • Dr. Balaji Rajagopalan, Dr. Terry Fulp, Dr. Edith
    Zagona for advising and support
  • Upper Colorado Regional Office
  • of the US Bureau of Reclamation,
  • in particular Dave Trueman for funding and
    support
  • CADSWES personnel for use of their
  • knowledge and computing facilities

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  • Drainage Area
  • Colorado River Basin
  • 241,000 mi2
  • Upper Basin
  • 110,000 mi2
  • Case Study
  • 4,558 mi2
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