Title: Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling
1Stochastic Nonparametric Framework for Basin Wide
Streamflow and Salinity Modeling Application to
Colorado River basin Study Progress
Meeting James R. Prairie November 29, 2005
2Progress Update
- Completed Flow Space-Time Disaggregation
- Submitted journal article to Water Resources
Research - Describes algorithm as applied to 4 key gauges
- Additionally we performed simple disaggregation
with entire Colorado River basin and generated
data required for CRSS - 100 stochastic simulations ran through CRSS
- Generated values and sequences never seen before
- Basin Wide Salinity Model
- Coupling salinity model and disaggregation model
- Explored multiple methods to model data
3- Masters Research
- Single site
- Modified K-NN streamflow generator
- Climate Analysis
- Nonparametric Natural Salt Model
Stochastic Nonparametric Technique for Space-Time
Disaggregation
Basin Wide Natural Salt Model
Incorporate Paleoclimate Information
Transition probability matrices (TPM)
Generate streamflow conditioned with TPM
- Policy Analysis
- Impact of drought
- Hydrology
- Water quality
4Basin Wide Salinity Model
- Coupling
- Nonparametric space-time disaggregation technique
(Prairie et al., submitted 2005) - Statistical nonparametric natural salt model
(Prairie et al., 2005) - Explored various scenarios
- Direct disaggregation of total salt mass
- Compute total salt mass from flow-salt regression
- Simulate annual flows at Lees Ferry
- Compute the associated annual salt from
regression - Only space disaggregation for both flow and salt
- Space-time disaggregation for both flow and salt
54 Key Gauges
- Directly modeled total natural salt
- Index gauge represents fictitious sum of totals
at Lees Ferry - Scenarios
- Direct Disaggregation of computed natural salt
- Model natural salt with annual regression then
disaggregate the resulting values - Only spatial disaggregation at annual time step
- Both time and space disaggregation
- Performed 500 simulations
- Dataset natural salt 1971-2003
64 Key Gauges in Upper Colorado River Basin
7Disaggregation scheme
Colorado River near Cisco, Utah
1
Green River near Green River, Utah
2
1
San Juan River near Bluff, Utah
3
2
Colorado River near Lees Ferry, Arizona
4
3
4
Index gauge
5
6
7
8
9
100
1
11
2
122
3
temporal disaggregation annual to monthly at
index gauge
4
spatial disaggregation monthly index gauge to
monthly gauge
8Bluff
9Lees Ferry
10Temporal x-correlation at Lees Ferry
Spatial x-correlation
11Lees Ferry gauge
May
Annual
12Lees Ferry gauge Flow and salt correlation
Monthly and Annual
Annual
13- Preserve flow-salt correlation
- Incorporate Annual Regression
- Only at Lees Ferry
- Perform time-space disaggregation to simulate
monthly flows at 4 key gauges
14Basics of the annual flow salt regression
- Dataset
- Annual total natural flow and salt mass from
1971-2003 - Natural flow observed historic flow
consumptive use - /- reservoir regulation
- Natural salt observed historic salt
- salt added from agriculture
salt removed with exports - Nonparametric regression (local regression)
- natural salt f (natural flow)
- Residual resampling
15- Lees Ferry Gauge
- Annual Flows
Only spatial disagg
Time-Space disagg
16Lees Ferry
17Spatial x-correlation
18Upper Colorado River Basin
- Modeled intervening natural salt
- Index gauge represents sum of intervening salt OR
total Lees Ferry salt - Explored multiple scenarios
- Direct Disaggregation of computed natural salt
- Model natural salt with annual regression then
disaggregate the resulting values - Only spatial disaggregation at annual time step
- Both time and space disaggregation
- Performed 100 simulations
- Dataset natural salt 1971-2003
19Upper Colorado River Basin
20Disaggregation scheme
Index gauge
21 22- Lees Ferry
- Total sum of intervening
23 24May
Annual
25- Lees Ferry
- Total sum of intervening
May
Annual
26Lees Ferry gauge Flow and salt correlation Interve
ning
Monthly and Annual
Annual
27Lees Ferry gauge Flow and salt correlation Total
sum of intervening
Monthly and Annual
Annual
28Summary
- Coupling the annual flow-salt regression and
space-time disaggregation technique allowed
improved preservation of the annual flow salt
correlation - Computing natural salt from regression tends to
smooth higher order functions (i.e., PDF) - All lower order and higher order statistics are
adequately preserved for both the 4 key gauge and
entire Upper Basin schemes - Previous method did not capture the spatial cross
correlation - Paleo-salinity
- Climate conditioned salinity
29Continued assistance needs
- Complete extension of Lower Basin natural salt
out to 2003 - Lower Basin for 2004 in January 2006
- Setup annual cycle from this point forward
- Update Lower Basin salt from 1906-1970 with data
from March 1992 Reclamation report - Prepare CRSS to accept flow and salt scenarios
- Set up indexed MRM run
- Ensure policy runs are ready to run through CRSS
for both flow and salt
30Schedule for research activities
- Time-space disaggregation model September 30,
2005 - Submission of space-time
- disaggregation paper September 30, 2005
- Basin wide salinity model November 30, 2005
- Basin wide salinity model paper December, 2005
- Analysis and incorporation of
- paleoclimate data February 2006
- Incorporating paleoclimate data paper March 2006
- Policy analysis related to both
- hydrology and salinity June 2006
- Ph.D. Defense August 2006
- Policy analysis paper August 2006
31Slides to follow are contributions
32Anticipated Publications
- Prairie, J.R., B. Rajagopalan, U. Lall, A
stochastic nonparametric technique for space-time
disaggregation of streamflows, (submitted) Water
Resources Research, 2005. - Prairie, J.R., et al., Coupling space-time
disaggregation model with a natural salt
estimation model for the Upper Colorado River
Basin, (in preparation), 2005. - Prairie, J.R., et al., Generating streamflow
scenarios using paleo and historic observations
for the Colorado River at Lees Ferry, Arizona,
(anticipated), 2006. - Prairie, J.R., et al., Comparative policy
analysis with various streamflow scenarios,
(anticipated), 2006.
33Relevant Publications
- Prairie, J.R., B. Rajagopalan, T.J. Fulp, and
E.A. Zagona, Statistical nonparametric model for
natural salt estimation, ASCE Journal of
Environmental Engineering, 131(1), 130-138, 2005. - Prairie, J.R., B. Rajagopalan, T.J. Fulp, and
E.A. Zagona, Modified K-NN Model for Stochastic
Streamflow Simulation, (in press) ASCE Journal of
Hydrologic Engineering, 2005.
34Acknowledgements
- To my committee and advisor. Thank you for your
guidance and commitment. - Balaji Rajagopalan, Edith Zagona, Kenneth
Strzepek, Subhrendu Gangopadhyay, and Terrance
Fulp - Funding support provided by Reclamations Lower
Colorado Regional Office - Logistical support provided by CADSWES
35Extra Slides Follow
36Local regression
37Residual Resampling
y y e
Y
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