Closed · W81EWF-23-SOI-0007 · CFDA 12.630 · Discretionary
Improving Data Anomaly Detection and Forecasting in the US Army Corps of Engineers Reservoir Sedimentation Information (RSI) Database
Federal grant opportunity posted by Engineer Research and Development Center, cataloged on Grants.gov.
- up to $60K
- Award range
- Closed
- Status
- August 11, 2023
- Close date
- 1
- Expected awards
The verdict
Improving Data Anomaly Detection and Forecasting in the US Army Corps of Engineers Reservoir Sedimentation Information (RSI) Database is a closed discretionary listing from Engineer Research and Development Center that offered Up to $60,000 across 1 expected award. Future funding cycles may be published under the same CFDA number.
- up to $60K
- award range
- Closed
- application status
- 1
- expected award
- 12.630
- CFDA program
Opportunity snapshot. This Grants.gov announcement - Improving Data Anomaly Detection and Forecasting in the US Army Corps of Engineers Reservoir Sedimentation Information (RSI) Database - is cataloged under number W81EWF-23-SOI-0007 and tied to CFDA assistance listing 12.630, posted by Engineer Research and Development Center. Grants.gov currently shows the opportunity as closed, first posted on May 26, 2023 and last updated on June 30, 2023. The funding category is Discretionary, delivered as a cooperative agreement.
Award economics. The award range on file is Up to $60,000. The agency has projected $100,000 in total estimated funding for this announcement. It expects to issue 1 award. If the agency funds the expected 1 award from the $100,000 estimated pool, the average award works out to roughly $100,000. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.
Deadline and action path. This opportunity closed on August 11, 2023. Future funding cycles may be published under the same CFDA number, so monitoring the parent program page is the most reliable way to catch re-announcements. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.
Award Range
Up to $60,000
Close Date
August 11, 2023
Posted
May 26, 2023
Est. Total Funding
$100,000
Expected Awards
1
Instrument
Cooperative Agreement
Description
I. Base Task 1: Increasing Composite Dataset for Analysis: For the previous analysis, only USACE and USBR reservoirs that had three or more surveys in the RSI system were included. This task will expanding the preliminary flagging, autonomous anomaly detection, and prediction model development to include all USACE and USBR reservoirs within the RSI system that have two or more surveys. In the current database, that includes 133 additional reservoirs. This number is expected to increase with the summer 2023 updates. Expanding the survey flagging process would specifically benefit data quality control for the RSI system. The additional flagging analysis will require quantifying reservoir pool elevations for capacity analysis and vertical datum correction factors for the 133+ additional USACE and USBR reservoirs.Note: USBR is in the process of developing their own independent database more suited to agency needs. At the time of this solicitation, there are plans to eventually connect the two databases for seamless updating. However, it is expected that contact and coordination with a USBR collaborator will be necessary to obtain the most recent data from that agency. II. Base Task 2: Demonstration of Forecasting Feasibility: Comparing model forecasted capacities with values from extrapolating known sedimentation rates will be a valuable tool for USACE to estimate economic, environmental, operational, and social impacts of future sedimentation and reservoirs. This comparison will serve as a validation to the proof of concept for predicting reservoir sedimentation using OLS and machine learning predictive models.An option may be awarded for FY25 based on sufficient progress and results of the base tasks in early FY24. III. Option Task 1: Developing Automated ArcGIS-based Analysis and Visualization Tools: Develop an ArcGIS Pro Add-In tool to predict capacity loss for a reservoir, from the date of dam construction to present day and use the results of Base Task 2 to predict future loss. The input data required for the capacity loss prediction models include the dam location, construction date, and original volume capacity. All other model parameters should be derived through automated GIS analysis. The tools should include a ‘water supply specific’ visualization tool component and use a stoplight ranking for reservoirs based on a number of fields from the database. This product should be developed to integrate with the RIMORPHIS geomorphic database while collaborating with USACE and other federal partners to identify a permanent, public-facing home for the database.
Eligibility
Grants.gov lists this opportunity under eligibility category code 25. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
Kisha Craig Contract Specialist Phone 6016345397
Key Dates
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