Developing Case Studies from Pre/Post Natural disaster monitoring of natural features

0
2

Funding Opportunity ID:334497
Opportunity Number:W81EWF-21-SOI-0023
Opportunity Title:Developing Case Studies from Pre/Post Natural disaster monitoring of natural features
Opportunity Category:Discretionary
Opportunity Category Explanation:
Funding Instrument Type:Cooperative Agreement
Category of Funding Activity:Science and Technology and other Research and Development
Category Explanation:
CFDA Number(s):12.630
Eligible Applicants:Others (see text field entitled “Additional Information on Eligibility” for clarification)
Additional Information on Eligibility:This opportunity is restricted to non-federal partners of the North Atlantic Coast, Chesapeake Watershed, Piedmont-South Atlantic Coast, South Florida-Caribbean, and Gulf Coast Cooperative Ecosystems Studies Units (CESUs).
Agency Code:DOD-COE-ERDC
Agency Name:Department of Defense
Engineer Research and Development Center
Posted Date:Jul 01, 2021
Close Date:Aug 20, 2021
Last Updated Date:Jul 01, 2021
Award Ceiling:$23,500
Award Floor:$0
Estimated Total Program Funding:$70,500
Expected Number of Awards:3
Description:This work represents an opportunity to develop case studies highlighting the performance/impact to natural features or natural and nature based features (NNBF) during recent natural disaster events such as hurricanes, and flooding. Many university researchers have gathered recent pre/post storm data using various metrics. While there are often mechanisms to collect data, opportunities to analyze the collected data and develop case studies are not always feasible. This requirement is to develop a subset of sampling events into a case study in collaboration with USACE. This is an opportunity to identify and use existing data from past storm seasons to develop case studies demonstrating the performance of natural features. Ultimately, case study results would also be used to relate natural performance to anticipated performance of NNBF features. Case studies could be focused on natural features such as dunes, marshes, reefs, etc. or NNBFs. Previously collected data used to develop case studies might include (but is not limited to) a combination of wave attenuation and water movement data, sediment transport data, elevation data, and vegetation or other ecological data. The findings of this cooperative agreement will be made publicly available through the release of public reports or peer-reviewed journal articles as well as a public seminar describing results. The Government will be involved with the research by providing technical guidance on the research, assisting with the experimental design, and collaborating on the journal articles. The Government is not expecting the periods of performances to overlap. Identified project tasks are: 1. Describe previously collected data and justification for how it can be used as a case study for monitoring natural or NNBF features pre/post natural disaster.2. Work collaboratively with ERDC to analyze data and develop case study/.3. Work collaboratively with ERDC publish case study via ERDC or peer reviewed publications. Requirements: Successful applicants should have expert knowledge of 1) NNBF and Natural features, 2) available pre and post natural disaster (e.g., hurricane, flood event, etc.) monitoring data in hand associated with a natural feature or NNBF, and 3) knowledge of planned statistical approaches for analysis of those datasets. Areas of expertise required to perform this study include:1) Knowledge and experience monitoring extreme events.2) Statistical analysis. Applicants will be required to submit quarterly status reports and a final report within 4 months of completion of the study. ERDC and the candidates will develop a draft of the journal article or articles for internal peer review during cooperative agreement’s period of performance.
Version:1





Visit the Official Webpage For More Details on Developing Case Studies from Pre/Post Natural disaster monitoring of natural features

LEAVE A REPLY

Please enter your comment!
Please enter your name here