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A tsunami generated by a strike-slip event: constraints from GPS and SAR data on the 2018 Palu earthquake
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  • Wim Simons,
  • Taco Broerse,
  • Lin SHEN,
  • Olga Kleptsova,
  • Nicolai Nijholt,
  • Andrew Hooper,
  • Julie Pietrzak,
  • Yu Morishita,
  • Marc Naeije,
  • S Lhermitte,
  • Matthew William Herman,
  • Dina Sarsito,
  • Joni Efendi,
  • Rob Govers,
  • Christophe Vigny,
  • Hasanuddin Zainal Abidin,
  • Gatot Haryo Pramono,
  • Cahyo Nugroho,
  • Pieter Nicolaas Visser,
  • Riccardo E. M. Riva
Wim Simons
Delft University of Technology
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Taco Broerse
Utrecht University

Corresponding Author:[email protected]

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Lin SHEN
University of Leeds
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Olga Kleptsova
Utrecht University
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Nicolai Nijholt
Delft University of Technology
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Andrew Hooper
University of Leeds
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Julie Pietrzak
Environmental Fluid Mechanics Section, Faculty of Civil Engineering and Geosciences, Delft University of Technology Stevinweg 1, 2628 CN Delft, The Netherlands
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Yu Morishita
Geospatial Information Authority of Japan
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Marc Naeije
Delft University of Technology
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S Lhermitte
Delft University of Technology
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Matthew William Herman
California State University, Bakersfield
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Dina Sarsito
Institute of Technology Bandung (ITB)
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Joni Efendi
Badan Informasi Geospasial (Geospatial Information Agency)
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Rob Govers
Utrecht University
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Christophe Vigny
Ecole Normale Superieure
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Hasanuddin Zainal Abidin
Inst Technology Bandung
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Gatot Haryo Pramono
Center for Geodetic Control Network and Geodynamics, Geospatial Information Agency
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Cahyo Nugroho
Meterology, Climatology and Geophyscial Agency
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Pieter Nicolaas Visser
Delft University of Technology
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Riccardo E. M. Riva
Delft University of Technology
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Abstract

A devastating tsunami struck Palu Bay in the wake of the 28 September 2018 M$_{\mathrm{w}}=7.5$ Palu earthquake (Sulawesi, Indonesia). With a predominantly strike-slip mechanism, the question remains whether this unexpected tsunami was generated by the earthquake itself, or rather by earthquake-induced landslides. In this study we examine the tsunami potential of the co-seismic deformation. To this end, we present a novel geodetic dataset of GPS and multiple SAR-derived displacement fields to estimate a 3D co-seismic surface deformation field. The data reveal a number of fault bends, conforming to our interpretation of the tectonic setting as a transtensional basin. Using a Bayesian framework, we provide robust finite fault solutions of the co-seismic slip distribution, incorporating several scenarios of tectonically feasible fault orientations below the bay. These finite fault scenarios involve large co-seismic uplift (~2 m) below the bay due to thrusting on a restraining fault bend that connects the offshore continuation of two parallel onshore fault segments. With the co-seismic displacement estimates as input we simulate a number of tsunami cases. For most locations for which video-derived tsunami waveforms are available our models provide a qualitative fit to leading wave arrival times and polarity. The modeled tsunamis explain most of the observed runup. We conclude that co-seismic deformation was the main driver behind the tsunami that followed the Palu earthquake. Our unique geodetic dataset constrains vertical motions of the sea floor, and sheds new light on the tsunamigenesis of strike-slip faults in transtensional basins.