Predicting culturable enterococci exceedances at Escambron Beach, San Juan, Puerto Rico using satellite remote sensing and artificial neural networks.

Laureano-Rosario, Abdiel E; Duncan, Andrew P; Symonds, Erin M; Savic, Dragan A; Muller-Karger, Frank E

Laureano-Rosario, Abdiel E; Duncan, Andrew P; Symonds, Erin M; Savic, Dragan A; Muller-Karger, Frank E.

Affiliation

Laureano-Rosario AE; College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, FL 33701, USA E-mail: elias3@mail.usf.edu.
Duncan AP; Centre for Water Systems, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK.
Symonds EM; College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, FL 33701, USA E-mail: elias3@mail.usf.edu.
Savic DA; Centre for Water Systems, University of Exeter, Harrison Building, North Park Road, Exeter EX4 4QF, UK.
Muller-Karger FE; College of Marine Science, University of South Florida, 140 7th Avenue South, Saint Petersburg, FL 33701, USA E-mail: elias3@mail.usf.edu.

J Water Health ; 17(1): 137-148, 2019 Feb.

Article in En | MEDLINE | ID: mdl-30758310

Subject(s)

Bathing Beaches; Enterococcus; Environmental Monitoring/methods; Neural Networks, Computer; Remote Sensing Technology; Water Microbiology; Feces; Humans; Puerto Rico; Satellite Imagery; Water Quality

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Bathing Beaches / Water Microbiology / Environmental Monitoring / Neural Networks, Computer / Enterococcus / Remote Sensing Technology Type of study: Prognostic_studies / Risk_factors_studies Limits: Humans Country/Region as subject: Caribe / Puerto rico Language: En Journal: J Water Health Journal subject: SAUDE AMBIENTAL Year: 2019 Type: Article

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