Emmanouil Anagnostou, Ph.D.
Professor, Civil & Environmental Engineering
- Hydrometeorology and hydrologic remote sensing
- Outage modeling for distribution networks
- Numerical weather prediction electric
- Flood forecasting and climate change
- Satellite and radar remote sensing of precipitation
- Distributed hydrologic modeling of complex terrain floods
- Underwater passive aquatic listening observations
- Numerical weather prediction and data assimilation
Intelligent Ambient Noise Sensors for Monitoring the Oceanic Environment: The sustainable protection and management of the oceans requires a comprehensive understanding of the processes and conditions that affect the state of the marine environment. To support this need, we are developing remote sensing techniques for smart detection and categorization of the ambient sounds into multiple sources, such as, environmental (rainfall and wind speed), anthropogenic (ships, drillings), biological (e.g. marine mammals) and geological (seismic activities, volcanic eruptions, landslides), and the quantification of the above mentioned classified sources.
Weather-Based Damage Prediction on Electric Distribution Network: New England is a densely forested region of the US, frequently affected by severe winds and precipitation that often leads to power outages. Our team is developing a weather-based power outage prediction system tailored for the Northeast Utilities service territories. The prediction framework utilizes forecasted values of meteorological parameters from a state-of-the-art numerical weather prediction model combined with infrastructure data and vegetation parameters to provide operational estimates of the number and spatial distribution of power outages over the region for an approaching weather event.