Cooperative Ecosystem Studies Unit, Southern Appalachian CESU
Sector: Commercial • Location: United States of America
Source: Grants.gov
The USGS is offering a funding opportunity to a CESU partner for research in assessing remedy effectiveness assessments at Great Lakes Areas of Concern (AOCs). These AOCs suffer from a legacy of sediment contamination by legacy pollutants such as organic contaminants, mercury, and trace metals. Remediation of AOCs is managed through the US EPA Great Lakes National Program Office (GLNPO). Each AO
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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 | The USGS is offering a funding opportunity to a CESU partner for research in assessing remedy effectiveness assessments at Great Lakes Areas of Concern (AOCs). These AOCs suffer from a legacy of sediment contamination by legacy pollutants such as organic contaminants, mercury, and trace metals. Remediation of AOCs is managed through the US EPA Great Lakes National Program Office (GLNPO). Each AOC is listed for a defined set of Beneficial Use Impairments (BUIs) such as fish consumption advisories. In order for EPA to petition for delisting an AOC, all BUIs have to be removed, indicating that the AOC has recovered to some baseline, reference or pre-defined condition. GLNPO, under the Great Lakes Legacy Act, is responsible for managing and remediating AOCs in order to remove BUIs. However, many questions remain regarding the best ways to assess the effectiveness of remedies employed at AOCs and other large contaminated sediment sites. |
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 |
