
NSF Org: |
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems |
Recipient: |
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Initial Amendment Date: | November 28, 2017 |
Latest Amendment Date: | November 28, 2017 |
Award Number: | 1810769 |
Award Instrument: | Standard Grant |
Program Manager: |
Karl Rockne
CBET Division of Chemical, Bioengineering, Environmental, and Transport Systems ENG Directorate for Engineering |
Start Date: | December 1, 2017 |
End Date: | May 31, 2018 (Estimated) |
Total Intended Award Amount: | $98,515.00 |
Total Awarded Amount to Date: | $98,515.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
360 HUNTINGTON AVE BOSTON MA US 02115-5005 (617)373-5600 |
Sponsor Congressional District: |
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Primary Place of Performance: |
360 Hungtington Ave Boston MA US 02115-5005 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
Hurricane Harvey 2017, EnvE-Environmental Engineering |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
CBET - 1810769 Gu, April
Back-to-back hurricanes in Puerto Rico have caused much of the sewage treatment infrastructure on the island to be non-operational. As a result, raw sewage and other contaminants have been released into coastal waters, streams, and rivers. Understanding the impact of catastrophic events like hurricanes on water distribution systems requires rapid data acquisition soon after the event. The goal of this project is to provide water quality toxicity data to assess the recovery process in Puerto Rico's drinking water supply and surface water. This will be done using novel state-of-the-art toxicity assays developed by the research team. The results of this research will provide a one-of-a-kind opportunity to quantify risks to public health during recovery.
The study will apply next-generation, toxicogenomics-enabled in vitro assays for timely and informative water quality monitoring, coupled with strain-resolved metagenomic data to identify risks originating from the presence of host of microbial pathogens. The results have the potential to lead to a paradigm shift in water remediation efficacy assessment from older methods that frequently suffer from bias and limited chemical and microbiological information. This will provide timely and useful information needed to facilitate containment and response strategies development and, to help inform the public and government of any potential ecological and health impacts associated the recent extreme weather events.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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