Exploring low-cost deep ocean sensing utilizing undersea cable networks

The ocean represents more than 99% of the Earth's biosphere, yet we only monitor less than 2% of it. Consequently, we lack a clear and persistent picture of currents, marine life migrations, carbon capture and acidity levels, seismic activity, and many other measurable parameters because we lack the robustness, longevity, and spatial coverage required to monitor the ocean. Most attempts are encompassed by remotely operated vehicles taking point measurements or sets of fixed mooring lines along a continental shelf. Underwater telecommunications cable repeaters offer nodes of power and data transmission across the ocean every ~60 km. From a systems perspective, we are operating in the very first stage of a project life cycle: the concept study. We tackle this problem by examining current resources, the stakeholders, past efforts, and three possible concepts of ocean network sensors attached to telecommunications repeaters. In-depth interviews of stakeholders were conducted. We discuss what parameters are important to measure. We discuss information and sampling theory to flush out the tradeoff of resolution and cost, detecting boundaries, and the method by which we can determine the number of sensors across a spatial area. We construct a general mechanical model of an array of sensors to ensure design for minimum deflection angle from possible transverse currents. Two concepts are proposed: 1) an electro-mechanical vertical array consisting of off-the-shelf sensors and 2) an optical fiber sensor package. This thesis closes with a summary of current status of the ocean sensor networks with an emphasis on sampling strategy while proposing that optical sensor arrays may provide a better long-term solution based on lower power requirements and data transmission scheme than current conventional sensor systems.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Mechanical Engineering

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2020

Author dc:creator

• Jung, Kimberly.

Advisor dc:contributor.advisor

• Douglas P. Hart.

• Mechanical Engineering.

Statement dc:rights

• MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/127159

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/127159