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Development of Powell River, VA Natural Resource Damage Assessment and Restoration Case Strategy

Sector: Water Supply and Storage • Location: United States of America

Source: Grants.gov

Project
Archived

THIS IS NOTICE INTENT TO AWARD TO A SINGLE SOURCE AND THERE IS NO FULL ANNOUNCEMENT ASSOCIATED WITH THIS NOTICE. This is a notice of intent to award a Cooperative Agreement between the U.S. Fish and Wildlife Service and Virginia Polytechnic Institute and State University (Virginia Tech) for the purpose developing a case strategy of Powell River, VA Natural Resource Damage Assessment and Restorati

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The project “Development of Powell River, VA Natural Resource Damage Assessment and Restoration Case Strategy” is an infrastructure initiative in the Water Supply and Storage sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

THIS IS NOTICE INTENT TO AWARD TO A SINGLE SOURCE AND THERE IS NO FULL ANNOUNCEMENT ASSOCIATED WITH THIS NOTICE. This is a notice of intent to award a Cooperative Agreement between the U.S. Fish and Wildlife Service and Virginia Polytechnic Institute and State University (Virginia Tech) for the purpose developing a case strategy of Powell River, VA Natural Resource Damage Assessment and Restoration. Virginia Tech has a history of conducting research in the Powell River watershed through long-term water quality monitoring projects in the headwaters and surveys of trust species in the lower watershed. Virginia Tech recently performed baseline water and sediment chemistry monitoring in a central reach of the Powell River and a major tributary where trust species have likely been extirpated. In addition to experience specific to the Powell River, Virginia Tech currently has the staff, materials and technical expertise available for this project, allowing for the most effective and efficient use of funds. The Service will benefit greatly from the data already collected by Virginia Tech and they are well positioned to use the information to help us develop a Preassessment Screen.

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Source reliability

High

Data quality score

100%

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