Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above...
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Transcript of Long-Term Salinity Prediction with Uncertainty Analysis: Application for Colorado River Above...
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
2nd F
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Hyd
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Mod
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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
Existing Salt Model Over-Prediction
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, , . . . ,
( , , , . . . , )
( , , . . . , )
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
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
yt-1
yt*et*
Residual Resampling
yt = yt* + et
*
Conditional PDF
June
May
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
Comparison with Observed Historic Salt
Comparison With Calculated Natural Salt
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
Annual Model With Resampling
• Based on 1941-1995 natural flow
• 1941-1995 annual salt model
• Simulates 1941-1995
• Historic Flow and Concentration
• Based on 1906-1995 natural flows
• 1941-1995 monthly salt models
• Simulates 1941-1995
Modified and Existing CRSS Comparison
Historic Salt Mass
Policy AnalysisHistoric Simulation
> 650,000 tons salt
> 350 mg/L salt concentration
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
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
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