Discovering hydrothermalism from afar: In Situ methane instrumentation and change-point detection for decision-making
Discovering hydrothermalism from afar: In Situ methane instrumentation and change-point detection for decision-making
Date
2022-10-25
Authors
Preston, Victoria Lynn
Flaspohler, Genevieve Elaine
Kapit, Jason
Pardis, William A.
Youngs, Sarah
Martocello, Donald E., III
Roy, Nicholas
Girguis, Peter R.
Wankel, Scott
Michel, Anna P. M.
Flaspohler, Genevieve Elaine
Kapit, Jason
Pardis, William A.
Youngs, Sarah
Martocello, Donald E., III
Roy, Nicholas
Girguis, Peter R.
Wankel, Scott
Michel, Anna P. M.
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DOI
10.3389/feart.2022.984355
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Keywords
Methane
In situ instrumentation
Hydrothermalism
Deep sea exploration
Eater mass classification
Science-informed models
AUV
Decision-making infrastructure
In situ instrumentation
Hydrothermalism
Deep sea exploration
Eater mass classification
Science-informed models
AUV
Decision-making infrastructure
Abstract
Seafloor hydrothermalism plays a critical role in fundamental interactions between geochemical and biological processes in the deep ocean. A significant number of hydrothermal vents are hypothesized to exist, but many of these remain undiscovered due in part to the difficulty of detecting hydrothermalism using standard sensors on rosettes towed in the water column or robotic platforms performing surveys. Here, we use in situ methane sensors to complement standard sensing technology for hydrothermalism discovery and compare sensors on a towed rosette and an autonomous underwater vehicle (AUV) during a 17 km long transect in the Northern Guaymas Basin in the Gulf of California. This transect spatially intersected with a known hydrothermally active venting site. These data show that methane signalled possible hydrothermal-activity 1.5–3 km laterally (100–150 m vertically) from a known vent. Methane as a signal for hydrothermalism performed similarly to standard turbidity sensors (plume detection 2.2–3.3 km from reference source), and more sensitively and clearly than temperature, salinity, and oxygen instruments which readily respond to physical mixing in background seawater. We additionally introduce change-point detection algorithms—streaming cross-correlation and regime identification—as a means of real-time hydrothermalism discovery and discuss related data supervision technologies that could be used in planning, executing, and monitoring explorative surveys for hydrothermalism.
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© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Preston, V., Flaspohler, G., Kapit, J., Pardis, W., Youngs, S., Martocello, D., Roy, N., Girguis, P., Wankel, S., & Michel, A. Discovering hydrothermalism from afar: in situ methane instrumentation and change-point detection for decision-making. Frontiers in Earth Science, 10, (2022): 984355, https://doi.org/10.3389/feart.2022.984355.
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Preston, V., Flaspohler, G., Kapit, J., Pardis, W., Youngs, S., Martocello, D., Roy, N., Girguis, P., Wankel, S., & Michel, A. (2022). Discovering hydrothermalism from afar: in situ methane instrumentation and change-point detection for decision-making. Frontiers in Earth Science, 10, 984355.