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James Prairie
Hydraulic Engineer
Lake Powell Sunset
Bureau of Reclamation
Upper Colorado Regional Office
duty station: CADSWES - Univ. of Colorado at Boulder


Current Project Links



CRSS Salinity Projection Model

A river basin model to assist in salinity related policy analysis and decision making. The current CRSS Salinity Projection Model has been extensively revised from the previous version to correct calibration issues. These revisions included developing a new nonparametric natural salt sub model, improved algorithms to model salinity through reservoirs, and new methods to model salt loading from agricultural lands. The CRSS Salinity Projection Model is designed for long-term planning (20 years in the future).

The Colorado River Simulation System (CRSS) Salinity Projection Model as presented in Yuma, AZ on Wednesday October 20, 2004. This presentation  briefly displays the work Reclamation performed to provide a functional projection model.


Natural Flow and Salt Computation Model - current natural flow and salt data

We have recently completed our documentation of the first part of this project. During the first part we recomputed both natural flows and salt from 1971-1995. A new natural flow and salt calculation model was developed to generate consistent and re-createable natural flow and salt data. This project has recently extended the natural flow and salt monthly data through 2005. Publications from this project are listed below.


Upper Colorado River Basin Consumptive Uses ands Losses (1971-2005)

Recent work reviewing data sources for past published consumptive uses and losses values resulted in the report Upper Basin Colorado River Basin Consumptive Uses and Losses As Revised After Peer Review 1971-1995. We intend to review consumptive uses and losses values from 1996-2000 in the near future. Additionally, we have recently completed provisional values from 2001-2005.

Consumptives uses and losses  reports (1971-2005) are available on the Reclamation website

Flowcharts generated while reviewing the consumptive uses and losses depict the steps required for computing the eight categories displayed in Consumptive Uses and Losses Reports for 1986-1995.

Efforts to improve the existing method to store relevant source data for the computation of consumptive uses and losses has resulted in a Reclamation team working with a database designer. Together, we are developing an improved data storage and management system. In recent work we completed documentation for database design modifications required to store these data in the Hydrologic Data Base (HDB), which is used within both the Reclamation's Upper and Lower Colorado Regional offices.


Stochastic Hydrology and Salinity Research

PhD research topics
  • Nonparametric temporal and spatial disaggregation
  • Incorporating paleo streamflow information in decision models
  • Nonparametric stochastic methods
    •  Synthetic streamflow generation
    • Modeling natural salt
  • Colorado River Basin salinity policy
  • Hydroclimatelogy

I successfully defended my research on November 10, 2006. The final dissertation document and presentation are available below.

Prairie, J.R. (2006), "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application for the Colorado River Basin" Civil Environmental and Architectural Engineering Ph.D. Dissertation, University of Colorado, Boulder, CO.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin", presentation of dissertation defense, Boulder, CO November 10, 2006.

Our original research proposal is outlined in a dissertation proposal as presented in fulfillment of the comprehensive examination. An oral presentation (link provided below) was also presented September 9, 2005 at the comprehensive examination.

Relevant publications

Prairie, J., Nowak, K. Rajagopalan,  B., Lall, U. and Fulp, T., (2008) "A stochastic nonparametric approach for streamflow generation combining observational and paleo reconstructed data." Water Resources Research, 44, W06423, doi:10.1029/2007WR006684.

Prairie, J.R.  and Rajagopalan, B. (2007), "A basin wide stochastic salinity model." Journal of Hydrology, 344, doi:10.1016/j.jhydrol.2007.06.029.

Prairie, J., and Rajagopalan, B, (2007). "Stochastic Streamflow Generation Incorporating Paleo-Reconstruction." Proceedings of the World Environmental & Water Resources Congress, Tampa, FL.

Prairie, J.,  Rajagopalan,  B., Lall, U., and Fulp, T., (2007) "A stochastic nonparametric technique for space-time disaggregation of streamflows." Water Resources Research, 43, W03432, doi:10.1029/2005WR004721.

Prairie, J., Rajagopalan,  B., Fulp, T., and Zagona, E., (2006). "Modified K-NN Model for Stochastic Streamflow Simulation."   Journal of Hydrologic Engineering 11(4), 371-378.

Prairie, J., Rajagopalan,  B., Fulp, T., and Zagona, E., (2005). "Statistical Nonparametric Model for Natural Salt Estimation." Journal of Environmental Engineering, 131(1), 130-138.

Relevant presentations


On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO April 19, 2007.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO November 9, 2006.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO August 17, 2006.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO May 2, 2006.

On "Investigation of hydrologic variability on the Colorado River using prehistoric tree-ring data and the Reclamation CRSS long-range planning model",
presented for the RiverWare User Group meeting, Boulder, CO March 7, 2006.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO March 6, 2006.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented recent progress to collaborating members, Boulder, CO November 29, 2005.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented current efforts to collaborating members. Provides additional detail not included at the comprehensive examination, Boulder, CO September 21, 2005.

On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin",
presented in fulfillment of the comprehensive examination, Boulder, CO September 9, 2005.

On "A stochastic nonparametric technique for space-time disaggregation of streamflows", (abstract)
invited presentation at the 2005 Joint Assembly with AGU, New Orleans, LA, May 23-27, 2005.



Gunnison EIS natural flow generation

Under contract with Reclamation's Western Area Office in Grand Junction a team of reserachers at the University of  Colorado under the direction of Prof. Balaji Rajagopalan developed two alterante natural flow ensembles for the Gunnison River at Grand Junction. These ensembles along with the techniques used to generate them are described in the following Masters Thesis and preliminary reports. The Masters thesis additionally includes results from a Decisions Support System that utilized the generated ensembles:
    "Stochastic Flow Sequence Generation and Aspinall Unit Operation", Masters thesis dated Fall 2008.

    "Development of Stochastic Flow Sequences Based on Observed Data", dated May 15, 2008.
   
"Development of Stochastic Flow Sequences Based on Observed and Paleo-Reconstructed Data", dated   Novemeber 17, 2007.




last updated: 2008/9/25