Early Warning Systems for Marine Monitoring

In the frame of the Italian National Recovery and Resilience Plan (NRRP) Robotics and AI for Socio-economic Empowerment (RAISE) project, we are developing innovative, automatic and smart solutions to be used directly in the field for marine monitoring. Specifically, our study focuses on the development of three biological early warning systems (EWS) based on biofilm electrochemical activity, crustacean adult motion and planktonic organisms swimming behavior to further monitor aquatic health status, providing a real-time signal when pollution or other stressors may occur in the natural environment. In this study, we report the preliminary results on biological EWS alterations after exposure to contaminants and polluted environmental samples, in order to verify and further propose these systems for future monitoring surveys as predictive tools to assess the anthropogenic impacts in the marine environment

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Publication Details

Published
2024-10-14
DOI
https://doi.org/10.1109/metrosea62823.2024.10765783
Citations
1
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
Field-Weighted Citation Impact
0.35
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article

Early Warning Systems for Marine Monitoring

Roberta Miroglio, Marco Faimali, Chiara Gambardella, Francesca Garaventa et al.
1 citations
Target Tracking and Data Fusion in Sensor Networks
0.35
article

Early Warning Systems for Marine Monitoring

Roberta Miroglio, Marco Faimali, Chiara Gambardella, Francesca Garaventa, Verónica Piazza, Marta Giuga, Filippo Castelli, Elisa Costa, Roberta Nugnes
article en
1 citations

Abstract

In the frame of the Italian National Recovery and Resilience Plan (NRRP) Robotics and AI for Socio-economic Empowerment (RAISE) project, we are developing innovative, automatic and smart solutions to be used directly in the field for marine monitoring. Specifically, our study focuses on the development of three biological early warning systems (EWS) based on biofilm electrochemical activity, crustacean adult motion and planktonic organisms swimming behavior to further monitor aquatic health status, providing a real-time signal when pollution or other stressors may occur in the natural environment. In this study, we report the preliminary results on biological EWS alterations after exposure to contaminants and polluted environmental samples, in order to verify and further propose these systems for future monitoring surveys as predictive tools to assess the anthropogenic impacts in the marine environment

National Research Council (IT)
Life below water
Openalex Percentile: Top 31%
Target Tracking and Data Fusion in Sensor Networks
0.35
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Early Warning Systems for Marine Monitoring — Roberta Miroglio, Marco Faimali, et al. · (2024) | TGRS Research Map | TGRS