Epapante P. Vlahos
Professor/Marine Sciences
Avery Point
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Scholarly Contributions
168 Scholarly Contributions
Assessing the Importance of Variability in Oxygen Concentrations and Fluxes in Western Long Island Sound
2021
Research Type: Poster/Presentation
Exploring the Management Value of a Machine Learning-Based Model that Predicts Chlorophyll-α Using Multi-Media Modeling Environmental Predictors
2021
Research Type: Poster/Presentation
Understanding the Long Island Sound System for Sustainable Management
2021
Research Type: Poster/Presentation
Chapter 7: The Role of Physical Chemical Properties of Gases in Whitecap Facilitated Gas Transfer
2020
Research Type: Book Chapter
Degradation of RDX (Hexahydro-1, 3, 5-trinitro-1, 3, 5-triazine) in contrasting coastal marine habitats: Subtidal non-vegetated (sand), subtidal vegetated (silt/eel grass)
2020
Research Type: Journal Article
Future projections of water temperature and thermal stability in Connecticut reservoirs and possible implications for cyanobacteria.
2020
Research Type: Journal Article
Using GIS Mapping to Track Hot Spots of Kidney Disease in California
2020
Research Type: Journal Article
Using GIS mapping to track hot spots of kidney disease in California
2020
Research Type: Journal Article
Future projections of water temperature and thermal stratification in Connecticut reservoirs and possible implications for cyanobacteria
2020
Research Type: Journal Article
AI33A-01 The Growing Awareness of the Various Roles Bubbles Play in Air-Sea Exchange
2020
Research Type: Poster/Presentation
CP44F-1431 Nitrogen sources and fluxes in Western Long Island Sound
2020
Research Type: Poster/Presentation
On the Sensitivity of a Machine Learning-Based Model to Predict Chlorophyll- Using Multi-Media Modeling Environmental Predictors
2020
Research Type: Poster/Presentation
Utilizing Multi-media Modeling and Machine Learning to Assess dissolved oxygen as a proxy for Hypoxia in Lake Erie
2020
Research Type: Poster/Presentation
Updates on the Assessment of Environmental Variables Affecting Chlorophyll-a through Multi-media Modeling and Machine Learning: a Lake Erie Case Study
2020
Research Type: Poster/Presentation
Using Multi-media Modeling and Machine Learning to Assess Environmental Variables that Affect Chlorophyll-a and Dissolved Oxygen: a Lake Erie application
2020
Research Type: Poster/Presentation