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Title: Discovering hydrothermalism from afar: in situ methane instrumentation and change-point detection for decision-making

Type Dataset Michel, Anna P. M., Wankel, Scott D., Preston, Victoria Lynn, Flaspohler, Genevieve Elaine, Kapit, Jason, Pardis, William A., Youngs, Sarah, Martocello, Donald E., Girguis, Peter R., Roy, Nicholas (2022-10-06): Discovering hydrothermalism from afar: in situ methane instrumentation and change-point detection for decision-making. Woods Hole Oceanographic Institution. Dataset. https://darchive.mblwhoilibrary.org/handle/1912/29403

Authors: Michel, Anna P. M. ; Wankel, Scott D. ; Preston, Victoria Lynn ; Flaspohler, Genevieve Elaine ; Kapit, Jason ; Pardis, William A. ; Youngs, Sarah ; Martocello, Donald E. ; Girguis, Peter R. ; Roy, Nicholas ;

Links

Summary

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 sensing equipment on a towed rosette and autonomous underwater vehicle (AUV) during a 17 km long transect in the Northern Guaymas Basin. This transect spatially intersected with a known hydrothermally active venting site. These data show that methane signaled possible hydrothermal activity 1.5-3 km laterally (100-150m 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 monitoring technologies that could be used in planning, executing, and monitoring explorative surveys for hydrothermalism.

More information

  • URI: https://hdl.handle.net/1912/29403
  • DOI: 10.26025/1912/29403

Subjects

  • Methane, In situ instrumentation, Hydrothermalism, Deep sea exploration, Eater mass classification, Science-informed models, AUV SENTRY, Decision-making infrastructure

Dates

  • accessioned: October 10, 2022
  • available: October 10, 2022
  • Publication date: October 06, 2022

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Funding Information

AwardnumberAwarduriFunderidentifierFunderidentifiertypeFundername
NSF OCE OTIC: #1842053 Woods Hole Oceanographic Institution: Innovative Technology Award NOAA Ocean Exploration: #NA18OAR0110354 Schmidt Marine Technology Partners: #G-21-62431 NASA: #NNX17AB31G NSF OCE: #0838107 Gordon and Betty Moore Foundation: #9208 NDSEG: Graduate Fellowship MIT Martin Family Society of Fellows: Graduate Fellowship Microsoft: Graduate Research Fellowship DOE/National Nuclear Security Administration: #DE-NA000392 MIT EAPS: Houghton Fund

Format

electronic resource

Locations

KindValueGeopoint
Guaymas Basin, Gulf of California

Relateditems

DescriptionItem typeRelationshipUri
https://doi.org/10.3389/feart.2022.984355ispartof