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Modeling of Chemical Hazards Dispersion in Lakes and Reservoirs in CONUS

Award Information
Agency: Department of Defense
Branch: Defense Threat Reduction Agency
Contract: HDTRA119P0012
Agency Tracking Number: T182-004-0050
Amount: $149,895.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: DTRA182-004
Solicitation Number: 2018.2
Solicitation Year: 2018
Award Year: 2019
Award Start Date (Proposal Award Date): 2019-02-01
Award End Date (Contract End Date): 2019-09-03
Small Business Information
12 Sherman St, Newport, RI, 02840
DUNS: 079679963
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Jenna Cragan
 (401) 316-5600
Business Contact
 Matthew Ward
Phone: (401) 263-7227
Research Institution
The objective of this study is to develop methods to adequately characterize the chemical and physical environments of lakes and reservoirs for the CONUS operational implementation within SHARC. Over the course of this project we will explore the novel and innovative integration of deep machine learning, data analytics, computational fluid mechanics and in-situ/overhead empirical data. Specifically, we will utilize self-organizing map techniques to classify physiochemical and geomorphological conditions within lakes and reservoirs, leverage the classification of the geomorphological conditions to develop characteristic wind-driven flow patterns within lakes and reservoirs, incorporate the derived information into SHARCs existing database frameworks and leverage all the above information to develop the relevant questions and workflow to allow users of SHARC to conduct hazard assessment modeling within lakes and reservoirs.

* Information listed above is at the time of submission. *

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