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NOAA: Beach water quality prediction mobile app development
In partnership with the University of South Carolina and SECOORA, we first developed a mobile app that displays predictions of water quality at 31 locations along the beach at Myrtle Beach, SC. Daily predictions are created using statistical models that incorporate data from remote sensing and ocean observing system sensors. The tools for developing these statistical models have been improved by merging our efforts with the EPA's Virtual Beach model development software, which was intended to automate the laborious process of statistical model generation for non-statisticians. These tools have been implemented in Sarasota FL and are being modified for recreational and shellfish harvest area water quality in Charleston Harbor, SC.  Full Details  



Timeframe

Start: 1st February, 2012
Finish:
Duration: Ongoing

Project Website(s):

Key Contact(s):

Heath Kelsey PhotoDr Heath Kelsey
Program Director
Contact Details
Webpage

Heath Kelsey Integration and Application Network Dr Heath Kelsey Program Director Heath Kelsey Photo cell(443) 496-0188 workfax(410) 228-3843 work(410) 221-2045 University of Maryland Center for Environmental Science
work
PO Box 775
/ 2020 Horns Point Rd
Cambridge MD 21613 USA

Emily Nastase Photo Emily Nastase
Assistant Science Communicator
Contact Details
Webpage

Emily Nastase Integration and Application Network Emily Nastase Assistant Science Communicator Emily Nastase Photo work(410) 221-2046
work
2020 Horns Point Road
Cambridge MD 21613 USA