Closed · L17AS00062 · CFDA 15.236 · Discretionary
BLM-NOC, Enhancement of APEX Model for Simulating Soil Erosion and Salt Transport in the Colorado River Basin
Federal grant opportunity posted by Bureau of Land Management, cataloged on Grants.gov.
- $1.0M-$1.0M
- Award range
- Closed
- Status
- April 24, 2017
- Close date
- 1
- Expected awards
The verdict
BLM-NOC, Enhancement of APEX Model for Simulating Soil Erosion and Salt Transport in the Colorado River Basin is a closed discretionary listing from Bureau of Land Management that offered $1,004,036 -- $1,004,036 across 1 expected award. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 3,020 other opportunities from Bureau of Land Management.
- $1.0M-$1.0M
- award range
- Closed
- application status
- 1
- expected award
- 15.236
- CFDA program
Archived opportunity record
BLM-NOC, Enhancement of APEX Model for Simula… is closed (last close April 24, 2017). Check the agency catalog for replacement NOFOs. Bureau of Land Management still indexes 3,020 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
Closed April 24, 2017
Est. Total Funding
$1,004,036
Expected Awards
1
Instrument
Cooperative Agreement
Description
The APEX model, a comprehensive water hydrology, soil, and land management model that has been used worldwide to examine the sustainability of natural resources among other issues, is having other components added for the purpose of tracking salts and sediment transport within the Colorado River Basin. A groundwater model will be added to the existing surface water model to represent the entire water column; chemical transport will be added to represent the salt solution and solids present as distributed from BLM lands. Other tools will be used as needed to better understand salinity and sediment transport from within the Colorado River Basin to the Colorado River ultimately.
Campus applicant desk · Natural Resources
Grants.gov prints only higher-education applicant doors for BLM-NOC, Enhancement of APEX Model for Simula… (Public / state-controlled institutions of higher education). This reads as a campus competition desk, not a civic or commercial open call. The extract does not mark applicant cost-sharing as required. Instrument: Cooperative Agreement. Funding-activity code maps to Natural Resources (NR). 227 other Bureau of Land Management listings share this eligibility-code string (8% of 3,021).
- Code 06
- Public / state-controlled institutions of higher education
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Agency Contact
Grants Management Specialist Melanie Beckstead (801) 539-4169 mbeckstead@blm.gov
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What to do next
BLM-NOC, Enhancement of APEX Model for Simula… is closed; use the parent program and agency catalog for the next funding cycle.
- Browse open federal opportunities in the same category when this listing is closed. Open opportunities
- Look up CFDA 15.236 across all indexed listings before you commit to this opportunity alone. Eligibility finder
- Compare award ranges across federal categories before you pick a single CFDA. All categories
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |