Supported by a grant from the Climate Change Chair at the Polytechnic University of Valencia (UPV), Miguel Zaragoza has undertaken a research project titled: “Developing a Sensor System to Monitor the Effects of Climate Change on Valencian Coastal Waters”. This project was supervised by Jaime Lloret, a research professor at Campus Gandia (UPV).
What were the primary objectives of your research?
The primary objectives were to design and implement a multiparameter node capable of conducting comprehensive environmental monitoring in coastal areas.
Can you elaborate on the work you carried out during this research?
The project focused on developing the multiparameter node and researching the most suitable technologies for its implementation.This work encompassed areas such as programming, telecommunications networks, electronics, and sensor integration. These devices can be deployed along the entire coastline, aiming to minimize costs while enabling more extensive and efficient monitoring of coastal areas.
What are some of the key conclusions you’ve drawn from this experience?
These devices can be deployed along the entire coastline, aiming to minimize costs while enabling more extensive and efficient monitoring of coastal areas. This is particularly crucial in resource-limited areas, where ensuring sustainability is vital.
What personal insights have you gained from receiving the grant?
This grant has provided me with the opportunity to conduct research, publish scientific articles, and gain a deeper understanding of how collaborative research teams operate. More comprehensive environmental monitoring can provide early warnings of potential shifts in marine ecosystems.
How does your work help enhance our ability to adapt to climate change?
More comprehensive environmental monitoring can provide early warnings of potential changes in marine ecosystems, enabling quicker intervention by the relevant authorities.
Finally, what measures do you think should be implemented to help mitigate climate change in your field of research?
Deploying large-scale nodes along the coastline could help identify critical risks to marine ecosystems, such as spills, shifts in water quality, or rising ocean temperatures. These measures would enable more effective action to mitigate the impacts of climate change on coastal environments.
More Information:
Miguel Zaragoza-Esquerdo, Vinie Lee Silva-Alvarado, Lorena Parra, Sandra Sendra, Jaime Lloret and Manuel Pulido-Velázquez. Performance of ML-based Classification Models as Edge Computing in IoT Nodes for a Marine Observatory. 3rd Eurasian Conference on Frontiers of Computer Science and Information Technology (FCSIT), Barcelona, Spain, September 20-22, 2024.
Source: UPV Climate Change Chair