Pervasive Deformation of an Oceanic Plate and Relationship to Large >M 8

Total Page:16

File Type:pdf, Size:1020Kb

Pervasive Deformation of an Oceanic Plate and Relationship to Large >M 8 Pervasive deformation of an oceanic plate and relationship to large >Mw 8 intraplate earthquakes: The northern Wharton Basin, Indian Ocean Jacob Geersen1,2*, Jonathan M. Bull1, Lisa C. McNeill1, Timothy J. Henstock1, Christoph Gaedicke3, Nicolas Chamot-Rooke4, and Matthias Delescluse4 1University of Southampton, National Oceanography Centre Southampton, European Way, Southampton SO14 3ZH, UK 2GEOMAR Helmholtz Centre for Ocean Research Kiel, Wischhofstr. 1-3, 24148 Kiel, Germany 3Bundesanstalt für Geowissenschaften und Rohstoffe (BGR), Stilleweg 2, 30655 Hannover, Germany 4ENS Laboratoire de Géologie, CNRS UMR8538, PSL Research University, Paris, France ABSTRACT the Sunda Trench in the area that ruptured in the Large-magnitude intraplate earthquakes within the ocean basins are not well understood. 2012 earthquakes. The Mw 8.6 and Mw 8.2 strike-slip intraplate earthquakes on 11 April 2012, while clearly occurring in the equatorial Indian Ocean diffuse plate boundary zone, are a case in point, SEISMO-STRATIGRAPHIC with disagreement on the nature of the focal mechanisms and the faults that ruptured. We INTERPRETATION use bathymetric and seismic reflection data from the rupture area of the earthquakes in the The seismic data show three sedimentary units northern Wharton Basin to demonstrate pervasive brittle deformation between the Ninet- (Fig. 2; see the GSA Data Repository1) based on yeast Ridge and the Sunda subduction zone. In addition to evidence of recent strike-slip defor- stratigraphic geometry and reflection attributes, mation along approximately north-south–trending fossil fracture zones, we identify a new with total sediment thickness from 1000 m to type of deformation structure in the Indian Ocean: conjugate Riedel shears limited to the >4000 m (see also Geersen et al., 2013). Unit 1 is sediment section and oriented oblique to the north-south fracture zones. The Riedel shears present only in the central and eastern study area developed in the Miocene, at a similar time to the onset of diffuse deformation in the central and represents the trench wedge characterized Indian Ocean. However, left-lateral strike-slip reactivation of existing fracture zones started by parallel, high-amplitude reflectors onlapping earlier, in the Paleocene to early Eocene, and compartmentalizes the Wharton Basin. Modeled an unconformity (blue line in Fig. 2) separating rupture during the 11 April 2012 intraplate earthquakes is consistent with the location of two units 1 and 2. The distance between the defor- reactivated, closely spaced, approximately north-south–trending fracture zones. However, we mation front and the westernmost point of unit 1 find no evidence for WNW-ESE–trending faults in the shallow crust, which is at variance with combined with the convergence rate between the most of the earthquake fault models. Indo-Australian and Sunda plates gives an age of ca. 4 Ma (ca. 3.9 Ma, northern transect; ca. INTRODUCTION between ca. 36.5 Ma and 83 Ma (Fig. 1A; Dep- 4.3 Ma, southern transects) for the unit 1–unit 2 The breaking and fracturing of the Indo-Aus- lus et al., 1998; Carton et al., 2014; Jacob et al., boundary. Unit 2 is characterized by parallel, tralian plate is a spectacular example of an active 2014). These fracture zones recently attracted high-amplitude reflectors representing Bengal- diffuse plate boundary within the ocean basins. attention due to the 11 April 2012 Mw 8.6 and Nicobar Fan deposits. Buried channels are vis- In the Central Indian Basin, seismic reflection Mw 8.2 strike-slip intraplate earthquakes, which ible in units 1 and 2. Unit 3 can be distinguished data have imaged compressional faulting and seem to have been promoted by stress transfer from unit 2 by a low-amplitude reflection pattern, long-wavelength folding with an onset around following the A.D. 2004 and 2005 Sunda mega- lack of channels, and increased seismic velocity 15 Ma associated with north-south P axes (Bull thrust events (Delescluse et al., 2012). Although (Singh et al., 2011). The seismic properties of and Scrutton, 1992; Chamot-Rooke et al., 1993; modeling of the earthquake sequence is compli- unit 3 and its position directly above the Paleo- Krishna et al., 2001; Delescluse et al., 2008; Bull cated by the absence of remote-sensing and geo- cene oceanic basement suggest it is composed et al., 2010). In sharp contrast, within the Whar- detic measurements as well as by the complex of pelagic sediments. Unit 3 pre-dates Bengal- ton Basin, east of the Ninetyeast Ridge where faulting scenario, most earthquake models agree Nicobar Fan deposition at this latitude, which the Indo-Australian plate subducts beneath the that the Mw 8.6 main shock involved rupture on probably started in the middle Eocene, ca. 40 Sunda plate (Fig. 1A), deformation is predomi- one NNE-SSW–trending and two WNW-ESE– Ma (Curray et al., 1982). Based on the approxi- nantly strike slip with northwest-southeast P trending faults, with most of the seismic moment mated ages of the unit boundaries (unit 1–unit axes (Petroy and Wiens, 1989; Stein et al., 1989; released during NNE-SSW rupture (Meng et al., 2 = ca. 4 Ma; unit 2–unit 3 = ca. 40 Ma), we Delescluse and Chamot-Rooke, 2007). The spa- 2012; Wei et al., 2013). The Mw 8.2 aftershock, estimate the ages of seismic horizons assuming tial changes in deformation style are broadly which occurred two hours later, ruptured a sec- constant unit sedimentation rates (see inset table explained by Euler poles that define diffuse ond NNE-SSW–trending fault (Fig. 1; Wei et in Fig. 2). These data provide an approximate plate boundaries between the Indian, Capricorn, al., 2013). Due to sparse geophysical data cover- chronology for the stratigraphy that we believe is and Australian plates (Royer and Gordon, 1997; age, the basin-wide deformation pattern and its sufficient to resolve not only relative fault activ- Bull et al., 2010; Sager et al., 2013). temporal evolution are poorly understood. Here, ity but their absolute slip history. The top of the The Wharton Basin is dissected by long, we discuss multibeam bathymetry and seismic oceanic basement (TOB) defines the base of unit approximately north-south–trending fossil reflection data collected prior to the 2012 earth- 3, and is undulating and offset as much as ~900 fracture zones formed at the Wharton Ridge quakes, extending from the Ninetyeast Ridge to m by some faults (red arrows in Fig. 2). *E-mail: [email protected] 1GSA Data Repository item 2015129, high-resolution image of the seismic transects without interpretation, is available online at www.geosociety.org/pubs/ft2015.htm, or on request from [email protected] or Documents Secretary, GSA, P.O. Box 9140, Boulder, CO 80301, USA. GEOLOGY, April 2015; v. 43; no. 4; p. 359–362; Data Repository item 2015129 | doi:10.1130/G36446.1 | Published online 27 February 2015 GEOLOGY© 2015 Geological | Volume Society 43 | ofNumber America. 4 Gold| www.gsapubs.org Open Access: This paper is published under the terms of the CC-BY license. 359 Downloaded from http://pubs.geoscienceworld.org/gsa/geology/article-pdf/43/4/359/3548885/359.pdf by guest on 27 September 2021 Figure 1. A: Overview map 86˚ 88˚ 90˚ 92˚ 94˚ 90˚ 96˚91˚ 92˚98˚ 93˚ 10094˚ ˚ 91.0°91.5° 92.0°92.5° 93.0°93.5° 6˚ 6˚ 4.5° Fracture zones of eastern Indian Ocean 10˚ N 280 Multibeam bathymetry data ic Riedel shears (P) B A Sumatra S (data from GEBCO_08 o Riedel shears (R) 6 ONN Forearc Fig. 1D n b E 5˚ Seismic transects 5˚ 11 186- 240 this study Grid, version 20091120 a r Deformation front MD 2 F P-axes 4.0° [www.gebco .net /data a 200 n _and_products /gridded 8˚ 4˚ 4˚ Bengal Fa F8? 160 2 280 0 _bathymetry_data/]). 1 , 1 0 ig. 1E 240 3.5° Fracture zones (red solid 1 F 3˚ 3˚ 120 6- lines) and Wharton fossil Sunda 200 ast-Ridge Wharton BGR0 6˚ IN e , 104, 105 ridge (red dotted lines) Plate Basin Central 80 06-103 160 2˚ 2˚ 3.0° after Jacob et al. (2014). Indian AU Ninety BGR 40 120 Blue lines are faults Basin F7 F6 s F8 F7 F6 F 80 2012 modeled for the A.D. 1˚ 1˚ 0km earthquak 4˚ 90˚ 91˚ 92˚ 93˚ 94˚ rupturee Seismic 40 Jacob et al. (2014) 2.5° 2012 intraplate earth- ransect Fracture zones T Fig. 1C ) quakes (Wei et al., 2013). 0km 8 16 2012 earthquake F8 6 India (IN)–Australia (AU) rupture 4 West 2 East Faults (# 0 relative plate motion ° 0 0 0 0 0 0 2˚ 0 C 0 32 33 34 35 01 02 03 from Sager et al. (2013). Trend at seafloor Focal mechanisms: red ~N-S Fracture zones are main shocks of the F8? Riedel shears (R) 11 April 2012 intraplate 0˚ Mw 8.2 / 8.6 F6 ast-Ridge 11 April 2012 earthquakes; black are e F7 aftershocks (until 31 Wharton Basin April 2012) (both from Ninety 0km1020 International Seismo- −2˚ Wharton logical Centre catalogue, Fossil Ridge D www.isc.ac.uk/iscgem/); 0km1020 green are historic events es ~N-S Fracture zones −4˚ n Riedel shears (R) (A.D. 1897–2005) from F6 Indo- n Delescluse and Chamot- Mw 8 Plate F7 Rooke (2007). B: Multi- cture Zo Australia Mw 6 0km 150 300 beam bathymetric data Fra Mw 4 −6˚ from study area. Purple 86˚ 88˚ 90˚ 92˚ 94˚ 96˚ 98˚ 100˚ ~N-S Fracture zones E (west) and orange (east) Riedel shears (P) 0km1020 lines represent seafloor lineaments (compare panels C, D, and E), with inset histogram in bottom right corner showing their strike direction. Fracture zones (F6, F7, F8) after Jacob et al.
Recommended publications
  • Along the Sumatran Fault System Derived from GNSS
    Ito et al. Earth, Planets and Space (2016) 68:57 DOI 10.1186/s40623-016-0427-z LETTER Open Access Co‑seismic offsets due to two earthquakes (Mw 6.1) along the Sumatran fault system derived from GNSS measurements Takeo Ito1* , Endra Gunawan2, Fumiaki Kimata3, Takao Tabei4, Irwan Meilano2, Agustan5, Yusaku Ohta6, Nazli Ismail7, Irwandi Nurdin7 and Didik Sugiyanto7 Abstract Since the 2004 Sumatra–Andaman earthquake (Mw 9.2), the northwestern part of the Sumatran island has been a high seismicity region. To evaluate the seismic hazard along the Great Sumatran fault (GSF), we installed the Aceh GNSS network for the Sumatran fault system (AGNeSS) in March 2005. The AGNeSS observed co-seismic offsets due to the April 11, 2012 Indian Ocean earthquake (Mw 8.6), which is the largest intraplate earthquake recorded in history. The largest offset at the AGNeSS site was approximately 14.9 cm. Two Mw 6.1 earthquakes occurred within AGNeSS in 2013, one on January 21 and the other on July 2. We estimated the fault parameters of the two events using a Markov chain Monte Carlo method. The estimated fault parameter of the first event was a right-lateral strike-slip where the strike was oriented in approximately the same direction as the surface trace of the GSF. The estimated peak value of the probability density function for the static stress drop was approximately 0.7 MPa. On the other hand, the co-seis- mic displacement fields of the second event from nearby GNSS sites clearly showed a left-lateral motion on a north- east–southwest trending fault plane and supported the contention that the July 2 event broke at the conjugate fault of the GSF.
    [Show full text]
  • Waves of Destruction in the East Indies: the Wichmann Catalogue of Earthquakes and Tsunami in the Indonesian Region from 1538 to 1877
    Downloaded from http://sp.lyellcollection.org/ by guest on May 24, 2016 Waves of destruction in the East Indies: the Wichmann catalogue of earthquakes and tsunami in the Indonesian region from 1538 to 1877 RON HARRIS1* & JONATHAN MAJOR1,2 1Department of Geological Sciences, Brigham Young University, Provo, UT 84602–4606, USA 2Present address: Bureau of Economic Geology, The University of Texas at Austin, Austin, TX 78758, USA *Corresponding author (e-mail: [email protected]) Abstract: The two volumes of Arthur Wichmann’s Die Erdbeben Des Indischen Archipels [The Earthquakes of the Indian Archipelago] (1918 and 1922) document 61 regional earthquakes and 36 tsunamis between 1538 and 1877 in the Indonesian region. The largest and best documented are the events of 1770 and 1859 in the Molucca Sea region, of 1629, 1774 and 1852 in the Banda Sea region, the 1820 event in Makassar, the 1857 event in Dili, Timor, the 1815 event in Bali and Lom- bok, the events of 1699, 1771, 1780, 1815, 1848 and 1852 in Java, and the events of 1797, 1818, 1833 and 1861 in Sumatra. Most of these events caused damage over a broad region, and are asso- ciated with years of temporal and spatial clustering of earthquakes. The earthquakes left many cit- ies in ‘rubble heaps’. Some events spawned tsunamis with run-up heights .15 m that swept many coastal villages away. 2004 marked the recurrence of some of these events in western Indonesia. However, there has not been a major shallow earthquake (M ≥ 8) in Java and eastern Indonesia for the past 160 years.
    [Show full text]
  • Rapid Identification of Tsunamigenic Earthquakes Using GNSS
    www.nature.com/scientificreports OPEN Rapid identifcation of tsunamigenic earthquakes using GNSS ionospheric sounding Fabio Manta1,2,4*, Giovanni Occhipinti 3,4, Lujia Feng 1 & Emma M. Hill 1,2 The largest tsunamis are generated by seafoor uplift resulting from rupture of ofshore subduction- zone megathrusts. The rupture of the shallowest part of a megathrust often produces unexpected outsize tsunami relative to their seismic magnitude. These are so called ‘tsunami earthquakes’, which are difcult to identify rapidly using the current tsunami warning systems, even though, they produce some of the deadliest tsunami. We here introduce a new method to evaluate the tsunami risk by measuring ionospheric total electron content (TEC). We examine two Mw 7.8 earthquakes (one is a tsunami earthquake and the other is not) generated in 2010 by the Sunda megathrust, ofshore Sumatra, to demonstrate for the frst time that observations of ionospheric sounding from Global Navigation Satellite System (GNSS) can be used to evaluate the tsunamigenic potential of earthquakes as early as 8 min after the mainshock. ‘Tsunami earthquakes’, as originally defned by Kanamori 1, are events generating tsunami with larger amplitude than expected from their seismic magnitude. Most tsunami earthquakes are generated by high levels of slip on the shallow megathrust, which results in large seafoor uplifs and hence very dangerous tsunami. Te shallow location of the slip—close to the subduction trench—means that the ruptures generating tsunami earthquakes are at signifcant distance from land-based monitoring networks, limiting our ability to quickly and accurately assess their magnitude and source parameters. Conventional approaches using various seismological methods2–4 or rapid inversion of GNSS (Global Navigation Satellite System) estimates of ground motion5 regularly encounter difculties in accurately estimating the uplif of the seafoor and consequently fail in predicting the tsunamigenic nature of tsunami earthquakes.
    [Show full text]
  • Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophysical Settings Analysed and Visualized by GMT Polina Lemenkova
    Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophysical Settings Analysed and Visualized by GMT Polina Lemenkova To cite this version: Polina Lemenkova. Java and Sumatra Segments of the Sunda Trench: Geomorphology and Geophys- ical Settings Analysed and Visualized by GMT. Glasnik Srpskog Geografskog Drustva, 2021, 100 (2), pp.1-23. 10.2298/GSGD2002001L. hal-03093633 HAL Id: hal-03093633 https://hal.archives-ouvertes.fr/hal-03093633 Submitted on 4 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License ГЛАСНИК Српског географског друштва 100(2) 1 – 23 BULLETIN OF THE SERBIAN GEOGRAPHICAL SOCIETY 2020 ------------------------------------------------------------------------------ --------------------------------------- Original scientific paper UDC 551.4(267) https://doi.org/10.2298/GSGD2002001L Received: October 07, 2020 Corrected: November 27, 2020 Accepted: December 09, 2020 Polina Lemenkova1* * Schmidt Institute of Physics of the Earth, Russian Academy of Sciences, Department of Natural Disasters, Anthropogenic Hazards and Seismicity of the Earth, Laboratory of Regional Geophysics and Natural Disasters, Moscow, Russian Federation JAVA AND SUMATRA SEGMENTS OF THE SUNDA TRENCH: GEOMORPHOLOGY AND GEOPHYSICAL SETTINGS ANALYSED AND VISUALIZED BY GMT Abstract: The paper discusses the geomorphology of the Sunda Trench, an oceanic trench located in the eastern Indian Ocean along the Sumatra and Java Islands of the Indonesian archipelago.
    [Show full text]
  • Tsunami Hazard Analysis of Future Megathrust Sumatra Earthquakes in Padang, Indonesia Using Stochastic Tsunami Simulation
    ORIGINAL RESEARCH published: 23 December 2016 doi: 10.3389/fbuil.2016.00033 Tsunami Hazard Analysis of Future Megathrust Sumatra Earthquakes in Padang, Indonesia Using Stochastic Tsunami Simulation Ario Muhammad1,2*, Katsuichiro Goda1 and Nicholas Alexander1 1 Department of Civil Engineering, University of Bristol, Bristol, UK, 2 Department of Civil Engineering, University of Narotama, Surabaya, Indonesia This study assesses the tsunami hazard potential in Padang, Indonesia probabilistically using a novel stochastic tsunami simulation method. The stochastic tsunami simulation is conducted by generating multiple earthquake source models for a given earthquake Edited by: Nikos D. Lagaros, scenario, which are used as input to run Monte Carlo tsunami simulation. Multiple National Technical University of earthquake source models for three magnitude scenarios, i.e., Mw 8.5, Mw 8.75, and Athens, Greece Mw 9.0, are generated using new scaling relationships of earthquake source parameters Reviewed by: developed from an extensive set of 226 finite-fault models. In the stochastic tsunami Filippos Vallianatos, Technological Educational Institute of simulation, the effect of incorporating and neglecting the prediction errors of earthquake Crete, Greece source parameters is investigated. In total, 600 source models are generated to assess David De Leon, Universidad Autónoma del Estado de the uncertainty of tsunami wave characteristics and maximum tsunami wave height México (UAEM), Mexico profiles along coastal line of Padang. The results highlight
    [Show full text]
  • Tsunami Risk to Indonesia
    CENTER FOR EXCELLENCE IN DISASTER MANAGEMENT AND HUMANITARIAN ASSISTANCE FACT SHEET: Tsunami Risk to Indonesia BLUF - Implications for PACOM Indian Ocean Tsunami • Indonesia is one of UN OCHA’s five priority countries in On December 26, 2004, a magnitude 9.2 earthquake triggered a devastating Asia highly vulnerable to large-scale natural disasters. tsunami that killed nearly 230,000 people in 14 countries around the • Located within the Pacific Ring of Fire, Indonesia is one of Indian Ocean. Of those, 130,000 were from Indonesia’s westernmost Aceh the most seismically active regions in the world, and the Province. The earthquake originated within the Sunda megathrust, located source of the devastating 2004 Indian Ocean Tsunami. off the northern Sumatra coast, rupturing a segment 1,600 km long that had lain dormant for one thousand years. • Indonesia has extensive capabilities in disaster preparedness and response, responding to nearly 300 major natural disasters annually over the last 30 years. The 2004 tsunami was a major turning point for the Government of Indonesia. Following the event, the country enacted legislation on disaster • Nonetheless, Indonesia remains highly vulnerable to management in 2007, and the National Disaster Management Agency future earthquakes and tsunamis (see seismic risk below). (BNBP) was established a year later. BNPB’s budget has grown 500% between 2010 and 2014. Fast Facts The U.S. Department of Defense, in support of the U.S. Agency for • Capital: Jakarta International Development’s Office of Foreign Disaster Assistance (the lead • Population: 260,580,739 (July 2017 est.) federal agency for the U.S. in overseas disasters), established Operation • Land Area: 1,811,569 km2 (three times the size of Texas) Unified Assistance, led by Combined Support Force 536.
    [Show full text]
  • Postseismic-Deformation-Following-The-2-July-2013-Mw-6.1-Aceh-Indonesia-Earthquake
    Journal of Asian Earth Sciences Postseismic deformation following the 2 July 2013 Mw 6.1 Aceh, Indonesia, earthquake estimated using GPS data Endra Gunawan, Sri Widiyantoro, Zulfakriza, Irwan Meilano, Cecep Pratama Journal of Asian Earth Sciences 177 (2019) 146–151 Contents lists available at ScienceDirect Journal of Asian Earth Sciences journal homepage: www.elsevier.com/locate/jseaes Full length article Postseismic deformation following the 2 July 2013 Mw 6.1 Aceh, Indonesia, earthquake estimated using GPS data T ⁎ Endra Gunawana, , Sri Widiyantoroa, Zulfakrizaa, Irwan Meilanob, Cecep Pratamac a Global Geophysics Research Group, Faculty of Mining and Petroleum Engineering, Bandung Institute of Technology, Indonesia b Geodesy Research Group, Faculty of Earth Science and Technology, Bandung Institute of Technology, Indonesia c Department of Geodetic Engineering, Gadjah Mada University, Indonesia ARTICLE INFO ABSTRACT Keywords: GPS data after the 2 July 2013 Mw 6.1 Aceh earthquake provide valuable information for understanding the 2 July 2013 Aceh earthquake postseismic behavior of a strike-slip fault in northern Sumatra, Indonesia. The analysis of postseismic de- GPS formation following the 2004 Sumatra-Andaman earthquake and the 2012 Indian Ocean earthquake suggest that Postseismic deformation the ongoing deformation affected northern Sumatra between July and December 2013. The postseismic de- Poroelastic rebound formation of the 2013 Aceh earthquake is herein investigated, with the contribution of poroelastic rebound and Viscoelastic relaxation viscoelastic relaxation evaluated. The results suggest that the model displacement of those two mechanisms Afterslip failed to estimate the data. The afterslip analysis of the 2013 Aceh earthquake, on the contrary, fits the data very well with a seismic slip occurring at multiple fault segments of the Sumatran fault in northern Sumatra, Indonesia.
    [Show full text]
  • International Ocean Discovery Program Expedition 362
    International Ocean Discovery Program Expedition 362 Preliminary Report Sumatra Seismogenic Zone The role of input materials in shallow seismogenic slip and forearc plateau development 6 August–6 October 2016 Brandon Dugan, Lisa McNeill, Katerina Petronotis, and the Expedition 362 Scientists Publisher’s notes Core samples and the wider set of data from the science program covered in this report are under moratorium and accessible only to Science Party members until 6 October 2017. This publication was prepared by the JOIDES Resolution Science Operator (JRSO) at Texas A&M University (TAMU) as an account of work performed under the International Ocean Discovery Pro- gram (IODP). Funding for IODP is provided by the following international partners: National Science Foundation (NSF), United States Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan European Consortium for Ocean Research Drilling (ECORD) Ministry of Science and Technology (MOST), People’s Republic of China Korea Institute of Geoscience and Mineral Resources (KIGAM) Australia-New Zealand IODP Consortium (ANZIC) Ministry of Earth Sciences (MoES), India Coordination for Improvement of Higher Education Personnel, Brazil (CAPES) Portions of this work may have been published in whole or in part in other International Ocean Discovery Program documents or publications. Disclaimer Any opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect the views of the participating agencies, TAMU, or Texas A&M Research Foundation. Copyright Except where otherwise noted, this work is licensed under a Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/deed.en_US). Unrestricted use, distribution, and reproduction are permitted, provided the original author and source are credited.
    [Show full text]
  • Beach Ridge Patterns in West Aceh, Indonesia, and Their Response to Large Earthquakes Along the Northern Sunda Trench
    Quaternary Science Reviews 113 (2015) 159e170 Contents lists available at ScienceDirect Quaternary Science Reviews journal homepage: www.elsevier.com/locate/quascirev Beach ridge patterns in West Aceh, Indonesia, and their response to large earthquakes along the northern Sunda trench * Katrin Monecke a, , Caroline K. Templeton a, Willi Finger b, Brian Houston c, Stefan Luthi d, Brian G. McAdoo e, Ella Meilianda f, Joep E.A. Storms d, Dirk-Jan Walstra d, g, Razali Amna f, Neil Hood c, Francis J. Karmanocky III h, Nurjanah f, Ibnu Rusydy f, Sam Unggul Sudrajat i a Wellesley College, Wellesley, MA, USA b Swiss Agency for Development and Cooperation, Zurich, Switzerland c University of Pittsburgh, Johnstown, PA, USA d Delft University of Technology, Delft, The Netherlands e Yale-NUS College, Singapore f Tsunami and Disaster Mitigation Research Center, Banda Aceh, Indonesia g Deltares, Delft, The Netherlands h West Virginia University, Morgantown, WV, USA i United Nations Development Program, Jakarta, Indonesia article info abstract Article history: The morphology of beach ridge plains along active margins can be used to reconstruct coastal subsidence Received 2 June 2014 during large megathrust earthquakes. Here we use satellite imagery and automatic level surveys to Received in revised form reconstruct the build-up of a new beach ridge along a 10 km long stretch of the western Acehnese coast 8 October 2014 after the complete destruction of the beach during the great Sumatra -Andaman earthquake and suc- Accepted 16 October 2014 cessive tsunami in December 2004. The western Acehnese coast is characterized by ridge and swale Available online 17 November 2014 topography reflecting the long-term progradation of the coastline.
    [Show full text]
  • Masters of Disaster Indonesia, Ground Zero for Tsunami, Earthquake, and Volcano Disasters, Applies Technology—And Local Wisdom—To Help Save Lives by Arielle Emmett
    Masters of Disaster Indonesia, Ground Zero for Tsunami, Earthquake, and Volcano Disasters, Applies Technology—and Local Wisdom—to Help Save Lives By Arielle Emmett ndonesia is the world’s largest island country, a ogy of Indonesia today. This ecology persists; Indonesia widely dispersed necklace of more than 17,000 trop- remains a dartboard of natural disasters, one of the most ical isles riding atop four clashing tectonic plates. Edenic and seismically hazardous places on earth to live. i The country has 34,000 miles of coastline, some of I visited Indonesia in late December 2017 to investi- it sinking, 266 million people inhabiting more than 6,000 gate what progress had been made in the science of natu- islands, and a remarkable 100,000 year history of dwarf- ral disaster prediction and warning. This was my third size hobbits (Homo floresiensis) and related species time in a land that haunts me for its beauty, risk-taking, that have pushed back the timeline for human tool and and “a smiling-through-the-apocalypse” attitude of its art making, raising new questions about the origins and people. migration patterns of early man. What I learned is that precision technologies to pre- That said, Indonesia also sits on the Ring of Fire, the dict and warn against natural calamities are growing. In nexus of the Pacific Basin and its continental shelves, particular geodesy—the science of measuring the earth’s all of them subject to violent earthquakes, volcanoes, surface—especially geodetic measurements of plate and continuous ocean trench movements. Sundaland, activity, is beginning to exert some life-saving control for example, the name for a continental shelf extending over seismic events.
    [Show full text]
  • Coseismic Slip Distribution of the 2 July 2013 Mw 6.1 Aceh, Indonesia
    Bulletin of the Seismological Society of America, Vol. XX, No. XX, pp. –, – 2018, doi: 10.1785/0120180035 M Coseismic Slip Distribution of the 2 July 2013 w 6.1 Aceh, Indonesia, Earthquake and Its Tectonic Implications by Endra Gunawan, Sri Widiyantoro, Shindy Rosalia, Mudrik Rahmawan Daryono, Irwan Meilano, Pepen Supendi, Takeo Ito, Takao Tabei, Fumiaki Kimata, Yusaku Ohta, and Nazli Ismail Abstract This study investigates the coseismic slip distribution of the 2 July 2013 Mw 6.1 Aceh earthquake using Global Positioning System (GPS) data, measured geo- logical surface offsets, and an aftershock distribution for a period of four days after the mainshock. We use the aftershock distribution to constrain the fault-plane strike of a right-lateral fault identified as the Pantan Terong segment. We estimate the coseismic slip distribution with dip angle information from the Global Centroid Moment Tensor (CMT) (model 1) and U.S. Geological Survey (USGS) (model 2) catalogs. We also estimate the coseismic slip distribution using another two fault models. Model 3 is constructed on a left-lateral fault, the Celala segment, which is perpendicular to the Aceh segment of the Sumatran fault, and model 4 is constructed using the multiple faults in models 2 and 3. We further estimate the coseismic slip distribution of this earthquake by employing an elastic dislocation model, inverting only the GPS dis- placements for model 3 and jointly inverting GPS displacements and geological surface offsets for models 1, 2, and 4. Minimum misfit between data and model is obtained with model 3, suggesting that the earthquake slip occurred along a left-lateral fault.
    [Show full text]
  • Post-Event Field Survey of 28 September 2018 Sulawesi Earthquake and Tsunami Wahyu Widiyanto1,2, Purwanto B
    Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2019-91 Manuscript under review for journal Nat. Hazards Earth Syst. Sci. Discussion started: 9 April 2019 c Author(s) 2019. CC BY 4.0 License. Post-event Field Survey of 28 September 2018 Sulawesi Earthquake and Tsunami Wahyu Widiyanto1,2, Purwanto B. Santoso2, Shih-Chun Hsiao1, Rudy T. Imananta3 1Department of Hydraulic and Ocean Engineering, National Cheng Kung University, Tainan, 701, Taiwan 5 2Department of Civil Engineering, Universitas Jenderal Soedirman, Purwokerto, 53122, Indonesia 3Meteorological, Climatological and Geophysical Agency (BMKG), Jakarta, 10720, Indonesia Correspondence to: Shih-Chun Hsiao ([email protected]) Abstract. An earthquake with a magnitude of MW = 7.5 that occurred in Sulawesi, Indonesia on September 28, 2018, triggered liquefaction and tsunamis that caused severe damage and many casualties. This paper reports the results of a post- 10 tsunami field survey conducted by a team with members from Indonesia and Taiwan that began 13 days after the earthquake. The main purpose of this survey was to measure the runup of tsunami waves and inundation and observe the damage caused by the tsunami. Measurements were made in 18 selected sites, most in Palu Bay. The survey results show that the runup height ranged from 2 to 10 m and that the inundation distance was between 80 and 510 m. The highest runup (10.5 m) was recorded in Tondo, a complex that has many boarding houses near a university. The longest inundation distance (511 m) was 15 found in Layana, a marketplace. The arrival times of the tsunami waves were quite short and different for each site, typically about 3-8 minutes from the time of the earthquake event.
    [Show full text]