Ambient noise tomography of northern Borneo reveals evidence of subduction and post-subduction processes.

J. Fone* (Corresponding Author), N. Rawlinson, S. Pilia, Amy Gilligan, Dave Cornwell, Felix Tongkul

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The region of northern Borneo in South East Asia sits within a post-subduction setting formed by the recent termination of two sequential but opposed subduction systems. In this study we use seismic data from a recent temporary array deployment to image the crustal velocity structure beneath northern Borneo using a two-stage Bayesian trans-dimensional tomography scheme, in which period dependent phase velocity maps are first generated, and then used to build a 3-D shear wave model through a series of 1-D inversions. In the second stage, we also apply an Artificial Neural Network to solve the 1D inverse problem, which results in a smoother 3-D model compared to the TransD approach without sacrificing data fit. Our shear wave velocity model reveals a complex crustal structure. Under the Crocker Range, a heterogeneous velocity structure likely represents remnants of early Miocene subduction, including underthrust continental crust from subsequent continent-continent collision. In the east we observe high velocities that are interpreted to be igneous rocks in the crust generated by melting due to mid Miocene Celebes Sea subduction and later decompression melting as well as a low velocity zone that could represent underthrust sediment or duplexes from Celebes Sea subduction. A low velocity
zone in the lower crust is present in a region of apparent crustal thinning. Our preferred explanation for this anomaly is remnant thermal upwelling within a failed rift that represents the on-shore continuation of the extension of the Sulu Sea, most likely caused by rollback of the Celebes Sea slab.
Original languageEnglish
Article numbere2024JB029092
Number of pages20
JournalJournal of Geophysical Research: Solid Earth
Volume129
Issue number11
Early online date10 Nov 2024
DOIs
Publication statusPublished - 10 Nov 2024

Bibliographical note

Acknowledgments
The authors wish to thank all those who were involved in deploying, servicing and recovering the nBOSS network between March 2018 and January 2020, including the land owners of Sabah who hosted seismometers. The seismometers used were provided by the Natural Environment Research Council (NERC) Geophysical Equipment Facility through SeisUK (loan 1038) as well as the University of Cambridge and the University of Aberdeen (Aberdeen University Geophysical Equipment Repository – AUGER). Thanks are also extended to MetMalaysia for providing access to their continuous waveform data recorded
by their MY network in Sabah. J.F. was supported by a studentship funded jointly by the Engineering and Physical Sciences Research Council (EPSCR) and CGG. S.P. would like to acknowledge the support provided by the Deanship of Research Oversight and Co722 ordination (DROC) at King Fahd University of Petroleum and Minerals (KFUPM) for funding his international visit program to Cambridge through the project ISP231-GEO724 788. We acknowledge the use of several free python packages in this work including pykonal (White et al., 2020), obspy (Beyreuther et al., 2010), matplotlib (Hunter, 2007), pytorch (Paszke et al., 2019), xarray (Hoyer & Hamman, 2017) and pyGMT (Wessel et al., 2019)

Data Availability Statement

The nBOSS data set is accessible through the IRIS Data Management service at (Rawlinson, 2018). Data from the Malaysian national seismic network (https://www.fdsn.org/networks/detail/MY/) are restricted but may be obtained by contacting the Malaysian Meteorological Department. The stacked cross correlations produced as part of this study are available at Fone (2024).

Keywords

  • South East Asia
  • Crustal Structure
  • subduction
  • Ambient noise tomography
  • neural networks

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