Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above...

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Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division, Civil, Architectural, and Environmental Engineering Department, and U.S. Bureau of Reclamation, University of Colorado, Boulder Balaji Rajagopalan Water Resources Division, Civil, Architectural, and Environmental Engineering Department, University of Colorado, Boulder Terry Fulp U.S. Bureau of Reclamation, University of Colorado, Boulder 2 nd Federal Interagency Hydrologic Modeling Conf.

Transcript of Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above...

Page 1: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Long-Term Salinity Prediction with Uncertainty Analysis:

Application for Colorado River Above Glenwood Springs, CO

James PrairieWater Resources Division, Civil, Architectural, and Environmental Engineering Department, and U.S. Bureau of Reclamation, University of Colorado, Boulder

Balaji RajagopalanWater Resources Division, Civil, Architectural, and Environmental Engineering Department, University of Colorado, Boulder

Terry FulpU.S. Bureau of Reclamation, University of Colorado, Boulder

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Page 2: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Motivation

Colorado River Basin

arid and semi-arid climates

irrigation demands for agriculture

“Law of the River”

Mexico Treaty Minute No. 242

Colorado River Basin Salinity Control Act of 1974

Salinity Control Forum

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Page 4: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Existing Salt Model Over-Prediction

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Stochastic Simulation

• Simulate from the conditional probability function

– joint over the marginal densities

f yy y y

f y y y y

f y y yt

t t t p

t t t t p

t t t p

1 2

1 2

1 2, , . . . ,

( , , , . . . , )

( , , . . . , )

Page 7: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Parametric PAR(1)• Periodic Auto Regressive model (PAR)

– developed a lag(1) model

– Stochastic Analysis, Modeling, and Simulation (SAMS) (Salas, 1992)

• Data must fit a Gaussian distribution• Expected to preserve

– mean, standard deviation, lag(1) correlation– skew dependant on transformation– gaussian probability density function

year

(month)season

,11,,1, yy

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Modified Nonparametric K-NN Natural Flow Model

• Improvement on traditional K-NN

• keeps modeling simple yet creates values not seen in the historic record

• perturbs the historic record within its representative neighborhood

• allows extrapolation beyond sample

Page 9: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

yt-1

yt*et*

Residual Resampling

yt = yt* + et

*

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Conditional PDF

June

May

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Page 14: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

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

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Comparison with Observed Historic Salt

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Comparison With Calculated Natural Salt

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Page 18: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

CRSS Simulation Model for Historic Validation

saltflow

historic agriculture

historic exports

historic municipal and industrial

historic effects of off-stream

calculated natural flow estimated natural salt mass

simulated historic flow simulated historic salt mass

USGS stream gauge 09072500

consumptive useirrigatedlands

reservoir regulation

salt loadings

salt removedwith exports

agricultural

Constant salinity pickup 137,000 tons/year

Exports removed @ 100 mg/L

Compare results to observed historic for validation

Natural flow 1906-95

Natural salt 1941-95

Page 19: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Annual Model With Resampling

• Based on 1941-1995 natural flow

• 1941-1995 annual salt model

• Simulates 1941-1995

• Historic Flow and Concentration

Page 20: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

• Based on 1906-1995 natural flows

• 1941-1995 monthly salt models

• Simulates 1941-1995

Modified and Existing CRSS Comparison

Historic Salt Mass

Page 21: Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above Glenwood Springs, CO James Prairie Water Resources Division,

Policy AnalysisHistoric Simulation

> 650,000 tons salt

> 350 mg/L salt concentration

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Stochastic Planning Runs Projected Future Flow and Salt Mass

• Passing gauge 09072500

• Based on 1906-1995 natural flows

• 1941-1995 monthly salt models

• Simulating 2002 to 2062

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Conclusion

• Developed a modeling framework for long-term salinity with uncertainty in the Colorado River– modified nonparametric K-NN natural flow

model– statistical nonparametric natural salt model– validation of historic record– demonstrated future projection

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Acknowledgements

• Dr. Balaji Rajagopalan, Dr. Terry Fulp, Dr. Edith Zagona for advising and support

• Upper Colorado Regional Officeof the US Bureau of Reclamation, in particular Dave Trueman for funding and support

• CADSWES personnel for use of their knowledge and computing facilities