Cooperative Ecosystem Studies Unit, Gulf Coast CESU
Sector: Consumer Products • Location: United States of America
Source: Grants.gov
The St. Petersburg Coastal and Marine Science Center of the U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for coastal research investigating the historically dynamic morphology within the Gulf offshore, and back-barrier environments in coastal Louisiana.USGS and its state partner Louisiana Coastal Restoration and Protection Authority (CPRA) developed the Barrier
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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 St. Petersburg Coastal and Marine Science Center of the U.S. Geological Survey (USGS) is offering a funding opportunity to a CESU partner for coastal research investigating the historically dynamic morphology within the Gulf offshore, and back-barrier environments in coastal Louisiana.USGS and its state partner Louisiana Coastal Restoration and Protection Authority (CPRA) developed the Barrier Island Comprehensive Monitoring (BICM) Program, to complement other coast-wide monitoring programs, such as the Coastwide Reference Monitoring System (CRMS) and the proposed System-Wide Assessment and Monitoring Framework (SWAMP). This research will provide long-term data on the Gulf coasts of Louisiana that could be used to plan, design, evaluate, and maintain current and future barrier-island restoration projects.The goal of this project is to promote cooperation between the USGS and Cooperative Ecosystems Study Unit (CESU) partner to continue coastal research and characterization of sediment texture, or grain size, within coastal-zone environments in order to evaluate relations between sediment-transport patterns, alongshore variability from the shoreline to Depth-of-Closure (DoC), geotechnical properties that influence the development of shoreline nourishment and restoration approaches, and to model-anticipated coastal-system response to storm events. |
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 |
