Home Projects Natural F&S TMSmembers BORstaff |
|
||||
|
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. |
|||||
|
Stochastic Hydrology and Salinity Research PhD research topics
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" On "Stochastic Nonparametric Framework for Basin Wide Streamflow and Salinity Modeling: Application to Colorado River basin" 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." Prairie, J.R. and Rajagopalan, B. (2007), "A basin wide stochastic salinity model." Prairie, J., and Rajagopalan, B, (2007). "Stochastic Streamflow Generation Incorporating Paleo-Reconstruction." Prairie, J., Rajagopalan, B., Lall, U., and Fulp, T., (2007) "A stochastic nonparametric technique for space-time disaggregation of streamflows." Prairie, J., Rajagopalan, B., Fulp, T., and Zagona, E., (2006). "Modified K-NN Model for Stochastic Streamflow Simulation." Prairie, J., Rajagopalan, B., Fulp, T., and Zagona, E., (2005). "Statistical Nonparametric Model for Natural Salt Estimation." 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:
"Development of
Stochastic Flow Sequences Based
on Observed Data", dated May 15, 2008. |
|||||
|
last updated: 2008/9/25 |
|||||