PhD student in Ecology and Sustainable Management of Environmental Resources
Cicle: XXXIX
Supervisor: Prof. Marco Marcelli
Thesis title: Oceanographic characterizations of the Latium coastal area with innovative and autonomous methods
Email: benedetta.torelli@unitus.it
Keywords: Marine ecosystem, autonomous vehicle, marine monitoring
I have a Bachelor’s Degree in Biological Sciences and a Master’s Degree in Biology and Marine Ecology from the University of Tuscia. My research interest is in marine-coastal environments and their interactions with wider waters through the use of fixed and moving autonomous instruments. The study of the technique and behavior of these measurement platforms allows me to use them in different marine environments, thus having the possibility of studying different parameters of the water column. Furthermore, the use of specific programs for the graphic visualizations of oceanographic data allows me to carry out various studies, and to carry out different marine monitoring.
My PhD project focuses to study coastal marine environments and interactions with continental and offshore waters. I will use an autonomous platform, the Glider SEAEXPLORER. In the project I will carry out a study of this platform and its capabilities, focusing on technology, sensors and computer programming. Moreover, I will carry out a series of sea campaigns in the central Tyrrhenian sea, with a particular focus on the Latium region, which represents a particular observational gap regarding the availability of data from autonomous or non-autonomous platforms. It is also an interesting area due to the presence of the Tiber river, which influences the biogeochemical characteristics of a very large area. My goal is to collect data in different weather conditions, also aiming at places where the anthropogenic impact can be more evident, thus being able to control the physical and biogeochemical parameters in different periods. The acquired data will be processed with oceanographic data analysis techniques for quality control, standardization and visualization. The technologies used in this work consider the observational needs of the scientific community and the objectives of the Global Ocean Observing System (GOOS) which requires the expansion of observational data useful for numerical forecasting modeling.
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