Green Infrastructure to Reduce Stormwater Runoff
Sector: Government • Location: United States of America
Source: Grants.gov
This Request for Applications (RFA) solicits applications from eligible entities for grants and/or cooperative agreements to be awarded pursuant to the Great Lakes Restoration Initiative Action Plan II (). This RFA is EPA’s major competitive grant funding opportunity under the Great Lakes Restoration Initiative (“GLRI” or “Initiative”) for FY 2019 and FY 2020 and is on
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | archived |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
Contact name | Obfuscated Data |
Phone | 0000000000 |
ObfuscatedData@email.com | |
Address | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Description
Description | This Request for Applications (RFA) solicits applications from eligible entities for grants and/or cooperative agreements to be awarded pursuant to the Great Lakes Restoration Initiative Action Plan II (https://www.glri.us/documents). This RFA is EPA’s major competitive grant funding opportunity under the Great Lakes Restoration Initiative (“GLRI” or “Initiative”) for FY 2019 and FY 2020 and is one of several funding opportunities available through federal agencies and their funding recipients under the GLRI. EPA is seeking applications for funding to implement projects within five funding opportunities, each of which has a separate Funding Opportunity Number (FON) and is separately posted on www.grants.gov. Applicants must apply for the specific funding opportunity they are interested in. This funding opportunity is for Green Infrastructure to Reduce Stormwater Runoff. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
Region | Obfuscated |
Country | Obfuscated |
State | Obfuscated Data |
County | Obfuscated |
Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
Article Published Date | Obfuscated Data |
