Opportunity ID: 293485
General Information
Document Type: | Grants Notice |
Funding Opportunity Number: | BOR-DO-17-N027 |
Funding Opportunity Title: | Multi-Algorithm Reservoir Sedimentation Estimation |
Opportunity Category: | Discretionary |
Opportunity Category Explanation: | – |
Funding Instrument Type: | Cooperative Agreement |
Category of Funding Activity: | Science and Technology and other Research and Development |
Category Explanation: | – |
Expected Number of Awards: | 1 |
Assistance Listings: | 15.560 — SECURE Water Act – Research Agreements |
Cost Sharing or Matching Requirement: | No |
Version: | Synopsis 1 |
Posted Date: | Apr 27, 2017 |
Last Updated Date: | – |
Original Closing Date for Applications: | May 11, 2017 |
Current Closing Date for Applications: | May 11, 2017 |
Archive Date: | Jun 10, 2017 |
Estimated Total Program Funding: | $298,515 |
Award Ceiling: | $298,515 |
Award Floor: | $298,515 |
Eligibility
Eligible Applicants: | Public and State controlled institutions of higher education |
Additional Information on Eligibility: | – |
Additional Information
Agency Name: | Bureau of Reclamation |
Description: | Water resource management in the western U.S. is reliant upon aging reservoirs for critical storage and flood mitigation. One impending concern is the sediment design life of these reservoirs, which remains largely uncertain due to both practical and logistical challenges in sediment monitoring. This work aims to comprehensively estimate historical, current, and projected future sediment loading along with attendant uncertainties through the coordinated application of multiple sediment modeling approaches over the western U.S.
This framework will integrate empirical, conceptual, and process‐based models (5 models in total) across key reservoirs using the overarching 1/16° Variable Infiltration Capacity model structure developed for USBR by Livneh et al. (2015). Focus will be given to model uniqueness so as to incorporate and test truly independent sediment model physics. In addition, the importance of model scale will be investigated. Rigorous evaluation of this modeling framework will include calibration and validation of simulated sediment loading and discharge. This framework will be applied to un‐surveyed or not recently surveyed reservoirs and will enable estimates of projected sediment and hence provide a probabilistic estimate of reservoir design life. Major outcomes will be an improved understanding of sedimentation processes and an estimate of uncertainty. Overall, this effort can be used to identify areas of greatest risk for sedimentation and inform mitigation strategies. |
Link to Additional Information: | – |
Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
Matthew Reichert
Grants Management Specialist Phone 303-445-3865 Email:mreichert@usbr.gov |
Version History
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