Marine Geoscience Data System

Data DOI: 10.26022/IEDA/331405

Citation:
Harris, Robert, et al., (2023), Heat flow data from the Hikurangi subduction zone, 2019 (RR1901, RR1902). Marine Geoscience Data System (MGDS). doi:10.26022/IEDA/331405
Title:
Heat flow data from the Hikurangi subduction zone, 2019 (RR1901, RR1902)
Abstract:
This heat flow data set was acquired during R/V Roger Revelle cruises RR1901 and RR1902 conducted in 2019 as part of the project called SAFFRONZ: Slow-Slip and Fluid Flow Response Offshore New Zealand - Probing the Nature of the Hikurangi Margin Hydrogeochemical System. Fluid generation, migration, and pore pressure at subduction zones are hypothesized to exert a primary control on the generation of seismicity, low-frequency earthquakes and slow slip events (SSEs). The Hikurangi margin (east coast of North Island, New Zealand) exhibits dramatic changes in the along-strike depth distribution of SSEs, depth of interseismic coupling, inferred pore pressure, and other subduction-related parameters. In 2019, in-situ measurements of thermal gradient and thermal conductivity were collected using the Oregon State University 3.5-m violin-style multi-penetration heat flow probe. In most cases seeps were targeted to document advective heat flow, if any. The thermistor string houses 11 thermistors and measures both the in-situ thermal gradient and thermal conductivity that are combined to determine the heat flow. On most measurements the probe position was determined with ultra-short baseline telemetry (USBL). The data was processed using SlugHeat (https://marine-heatflow.ceoas.oregonstate.edu/software/). The data file is in Excel spreadsheet format, with column headers. Funding was provided by NSF grants OCE17-53665 and OCE17-53617.
Creator(s):
Harris, Robert
Torres, Marta
Solomon, Evan
Date Available:
2023-10-13
Date Created:
2023-10-13
Data Type(s):
Heatflow
Resource Type:
Dataset
File Format(s):
application/vnd.ms-excel
Funding source(s):
National Science Foundation: 1753617
National Science Foundation: 1753665
Data Curated by:
Version:
1
Language:
en
License:
Creative Commons Attribution-NonCommercial-Share Alike 3.0 United States [CC BY-NC-SA 3.0] URI: http://creativecommons.org/licenses/by-nc-sa/3.0/us/

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