Power, Sean (2024) Development and deployment of a novel in situ multiparameter optical sensor for marine and freshwater environments. PhD thesis, Dublin City University.
Abstract
Global warming and pollution due to human activities has had a major impact on the world’s
waterbodies which are vital for sustaining life on this planet. With this rapid escalation of
threat to the oceans, seas, lakes, and rivers there has been an increased focus and urgency to
monitor these changes to better understand the consequences of our anthropogenic impact.
This culminates in a greater need for monitoring technologies to gather real-time data with
high temporal and spatial resolutions to provide a holistic understanding of the changes to
the waterbodies and inform regulations to protect our waters from further damage. The
bridge the technological and research gaps required to sufficiently monitor the aquatic
environments the work presented in this thesis aimed to demonstrate the design and
development of beyond state of the art in situ optical detection by applying advanced optical
and electronic components. A unique and novel design was produced by applying two mini
spectrometers, a multispectral LED array light source, a photodiode, and custom electronics
for interfacing with the optical system and housing the system in a robust enclosure using
advanced manufacturing methods. The finalised system and enclosure design was replicated
by manufacturing multiple identical systems as low-cost going beyond what is currently
being achieved in the research field. The systems were demonstrated to have superior
multispectral and multiparameter optical measurement capabilities when compared to
current commercial systems with higher resolution detection of chlorophyll and turbidity as
well as the ability to measure other tested analytes of petroleum and dissolved organic
matter. The built systems showed robustness through repeated deployments and provided
insightful data on the locations of deployment measuring multiple different environmental
events while in situ.
Metadata
Item Type: | Thesis (PhD) |
---|---|
Date of Award: | March 2024 |
Refereed: | No |
Supervisor(s): | Regan, Fiona and Kent, Nigel |
Subjects: | Computer Science > Artificial intelligence Computer Science > Machine learning Engineering > Environmental engineering Engineering > Signal processing Physical Sciences > Chemical detectors Physical Sciences > Environmental chemistry Physical Sciences > Photonics |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Chemical Sciences |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 License. View License |
Funders: | Enterprise Ireland |
ID Code: | 29381 |
Deposited On: | 25 Mar 2024 15:10 by Fiona Regan . Last Modified 25 Mar 2024 15:10 |
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