Two Decades of Global Tsunamis 1982-2002
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Ahead of the Wave
sciencenewsf o rkids.o rg http://www.sciencenewsforkids.org/2013/02/scientists-are-working-to-predict-and-tame-the-tsunamis-that-can-threaten-some- coastal-communities/ Ahead of the wave By Stephen Ornes / February 13, 2013 Bump a glass and any water inside might slop over the side. Splash in the bathtub and waves slosh. Toss a rock into a pond and ripples move outward in expanding rings. In each case, the water moves in waves. Those waves carry energy. And the more energy that gets added to a watery environment, the more powerf ul the waves may become. Now imagine an undersea earthquake and the tremendous amount of energy it can transf er to the ocean. That is because the movement of the Earth’s crust can shif t huge volumes of water, unleashing a parade of great and powerf ul waves. The water races away at speeds up to 800 kilometers (500 miles) per hour, or as f ast as a jet plane. Eventually those waves reach shallow Wate r p o urs asho re as a tsunami strike s the e ast co ast o f Jap an o n March 11, 2011. Cre d it: Mainichi Shimb un/Re ute rs water. They slow down and swell, sometimes as high as a 10-story building. When the waves eventually crash onto land, they can swamp hundreds of kilometers (miles) of shoreline. They may snap trees like twigs, collapse of f ice buildings and sweep away cars. Among nature’s most powerf ul f orces of destruction, these waves are called tsunamis (tzu NAAM eez). -
Documenting Inuit Knowledge of Coastal Oceanography in Nunatsiavut
Respecting ontology: Documenting Inuit knowledge of coastal oceanography in Nunatsiavut By Breanna Bishop Submitted in partial fulfillment of the requirements for the degree of Master of Marine Management at Dalhousie University Halifax, Nova Scotia December 2019 © Breanna Bishop, 2019 Table of Contents List of Tables and Figures ............................................................................................................ iv Abstract ............................................................................................................................................ v Acknowledgements ........................................................................................................................ vi Chapter 1: Introduction ............................................................................................................... 1 1.1 Management Problem ...................................................................................................................... 4 1.1.1 Research aim and objectives ........................................................................................................................ 5 Chapter 2: Context ....................................................................................................................... 7 2.1 Oceanographic context for Nunatsiavut ......................................................................................... 7 2.3 Inuit knowledge in Nunatsiavut decision making ......................................................................... -
Historical and Paleo-Tsunami Deposits During the Last 4000 Years and Their
Ishimura and Miyauchi Progress in Earth and Planetary Science (2015) 2:16 DOI 10.1186/s40645-015-0047-4 RESEARCH ARTICLE Open Access Historical and paleo-tsunami deposits during the last 4000 years and their correlations with historical tsunami events in Koyadori on the Sanriku Coast, northeastern Japan Daisuke Ishimura1* and Takahiro Miyauchi2 Abstract Large tsunamis occurring throughout the past several hundred years along the Sanriku Coast on the Pacific coast of northeastern Japan have been documented and observed. However, the risk of large tsunamis like the tsunami generated by the 2011 off the Pacific coast of Tohoku earthquake could not be evaluated from previous studies, because these studies lacked evidence of historical and paleo-tsunami deposits on the coastline. Thus, we first identified event deposits, which are candidates for tsunami deposits, from excavating surveys conducted on the coastal marsh in Koyadori on the Sanriku Coast, northeastern Japan. Second, we determined the physicochemical sediment properties of the deposits (roundness of grains, color, wet and dry densities, and loss on ignition) and established their geochronology by radiocarbon dating and tephra analysis. Third, we identified event deposits as tsunami deposits, based on their sedimentary features and origin, sedimentary environment, paleo-shoreline, and landowner interviews. In this study, we report 11 tsunami deposits (E1–E11) during the past 4000 years, of which E1, E2, E3, and E4 were correlated with the 2011 Tohoku-oki tsunami, the 1896 Meiji Sanriku tsunami, the 1611 Keicho Sanriku tsunami, and the 869 Jogan tsunami, respectively. From age data and the number of tsunami deposits in the trench, we estimated that tsunamis larger than the 1896 Meiji Sanriku tsunami occur and hit the study area on average every 290–390 years. -
Table S1. Summary of Kayen Et Al
Table S1. Summary of Kayen et al. (2013) Vs liquefaction case history data Data Crit. Depth Depth to γ (kN/m3) site ID LOCATION Liquefied? total CSR MSF ϕ (°) ORIGINAL SITE REFERENCE Mw GWT (m) σvo (kPa) σ'vo (kPa) amax (g) rd VS1 (m/sec) VS (m/sec) CRRPL=15% Gmax (kPa) Ko σ' mo (kPa) Point Range (m) Above gwt Below gwt 1906 San Francisco Earthquake, California, USA 5 9001 Coyote Valley 7.7 ± 0.10 YES 3.5 - 6 2.4 77.08 ± 8.53 54.03 ± 5.41 15.10 17.30 0.36 ± 0.09 0.89 ± 0.09 0.30 ± 0.09 0.97 171.98 ± 2.00 146.97 0.13 38093 30 0.500 36.02 Barrow, 1983 6 9002 Salinas River North 7.7 ± 0.10 NO 9.1 - 10.6 6.0 155.24 ± 8.31 117.47 ± 6.09 14.00 18.50 0.32 ± 0.08 0.68 ± 0.16 0.19 ± 0.07 0.97 172.05 ± 5.84 178.54 0.13 60113 34 0.441 73.68 Barrow, 1983 1948 Fukui Earthquake, Japan 9 118 HINO GAWA EAST BANK, FUKUI PREF. EQUESTRIAN CENTER, 7.1 ± 0.12 YES 6.0 - 10 1.0 143.50 ± 14.15 74.83 ± 8.10 17.30 18.00 0.50 ± 0.13 0.64 ± 0.14 0.40 ± 0.14 1.08 142.28 ± 17.04 131.91 0.10 31926 30 0.500 49.89 Office of the Engineer (1949); Hamada et al. (1992); This study 10 103 MORITA-CHO GAKKU, HAMADA ET AL. -
TSUNAMIGENIC SOURCES in the INDIAN OCEAN R. K. Jaiswal , B. K
TSUNAMIGENIC SOURCES IN THE INDIAN OCEAN 1 1 2 R. K. Jaiswal , B. K. Rastogi & Tad S. Murty 1 Institute of Seismological Research, Gandhinagar-382 018, Gujarat (India) 2 University of Ottawa, Ottawa, Canada Email: [email protected] ABSTRACT Based on an assessment of the repeat periods of great earthquakes from past seismicity, convergence rates and paleoseismological results, possible future source zones of tsunami generating earthquakes in the Indian Ocean (possible seismic gap areas) are identified along subduction zones and zones of compression. Central Sumatra, Java, Makran coast, Indus Delta, Kutch-Saurashtra, Bangladesh and southern Myanmar are identified as possible source zones of earthquakes in near future which might cause tsunamis in the Indian Ocean, and in particular, that could affect India. The Sunda Arc (covering Sumatra and Java) subduction zone, situated on the eastern side of the Indian Ocean, is one of the most active plate margins in the world that generates frequent great earthquakes, volcanic eruptions and tsunamis. The Andaman- Nicobar group of islands is also a seismically active zone that generates frequent earthquakes. However, northern Sumatra and Andaman-Nicobar regions are assessed to be probably free from great earthquakes (M!8.0) for a few decades due to occurrence of 2004 Mw 9.3 and 2005 Mw 8.7 earthquakes. The Krakatau volcanic eruptions have caused large tsunamis in the past. This volcano and a few others situated on the ocean bed can cause large tsunamis in the future. List of past tsunamis generated due to earthquakes/volcanic eruptions that affected the Indian region and vicinity in the Indian Ocean are also presented. -
Exelon Generation
Victoria County Station ESP Application Part 2 — Site Safety Analysis Report Subsection 2.4.6 Table of Contents Section Title Page 2.4.6 Probable Maximum Tsunami Hazards ............................................................ 2.4.6-1 2.4.6.1 Probable Maximum Tsunami ................................................................ 2.4.6-1 2.4.6.2 Historical Tsunami Record ................................................................... 2.4.6-4 2.4.6.3 Source Generator Characteristics ........................................................ 2.4.6-4 2.4.6.4 Tsunami Analysis ................................................................................. 2.4.6-5 2.4.6.5 Tsunami Water Levels ......................................................................... 2.4.6-5 2.4.6.6 Hydrography and Harbor or Breakwater Influences on Tsunami ......... 2.4.6-8 2.4.6.7 Effects on Safety-Related Facilities ...................................................... 2.4.6-8 2.4.6.8 References ........................................................................................... 2.4.6-8 2.4.6-i Revision 0 Victoria County Station ESP Application Part 2 — Site Safety Analysis Report Subsection 2.4.6 List of Tables Number Title 2.4.6-1 Summary of Historical Tsunami Runup Events in the Texas Gulf Coast 2.4.6-ii Revision 0 Victoria County Station ESP Application Part 2 — Site Safety Analysis Report Subsection 2.4.6 List of Figures Number Title 2.4.6-1 Location Map Showing the Extent of the Geological Provinces in the Gulf of Mexico Basin (Reference 2.4.6-1) 2.4.6-2 (A) Landslide Area (Purple Shade) Offshore of the Rio Grande River (East Breaks Slump) and Other Portions of the Gulf of Mexico, (B) An Enlarged View of Landslide Zones Near Sigsbee Escarpment (Reference 2.4.6-1) 2.4.6-3 The Caribbean Plate Boundary and its Tectonic Elements (Reference 2.4.6-1) 2.4.6-4 Results of Hydrodynamic Simulation for the Currituck Slide, (a) Maximum Wave Height During 100 min. -
Boris W. Levin · Mikhail A
Boris W. Levin · Mikhail A. Nosov Physics of Tsunamis Second Edition Physics of Tsunamis Boris W. Levin • Mikhail A. Nosov Physics of Tsunamis Second Edition 123 Boris W. Levin Mikhail A. Nosov Russian Academy of Sciences Faculty of Physics Yuzhno-Sakhalinsk M.V. Lomonosov Moscow State University Russia Moscow Russia ISBN 978-3-319-24035-0 ISBN 978-3-319-24037-4 (eBook) DOI 10.1007/978-3-319-24037-4 Library of Congress Control Number: 2015949315 Springer Cham Heidelberg New York Dordrecht London © Springer International Publishing Switzerland 2009, 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. -
GIS and Emergency Management in Indian Ocean Earthquake/Tsunami Disaster
GIS and Emergency Management in Indian Ocean Earthquake/Tsunami Disaster ® An ESRI White Paper • May 2006 ESRI 380 New York St., Redlands, CA 92373-8100, USA • TEL 909-793-2853 • FAX 909-793-5953 • E-MAIL [email protected] • WEB www.esri.com Copyright © 2006 ESRI All rights reserved. Printed in the United States of America. The information contained in this document is the exclusive property of ESRI. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by ESRI. All requests should be sent to Attention: Contracts and Legal Services Manager, ESRI, 380 New York Street, Redlands, CA 92373-8100, USA. The information contained in this document is subject to change without notice. U.S. GOVERNMENT RESTRICTED/LIMITED RIGHTS Any software, documentation, and/or data delivered hereunder is subject to the terms of the License Agreement. In no event shall the U.S. Government acquire greater than RESTRICTED/LIMITED RIGHTS. At a minimum, use, duplication, or disclosure by the U.S. Government is subject to restrictions as set forth in FAR §52.227-14 Alternates I, II, and III (JUN 1987); FAR §52.227-19 (JUN 1987) and/or FAR §12.211/12.212 (Commercial Technical Data/Computer Software); and DFARS §252.227-7015 (NOV 1995) (Technical Data) and/or DFARS §227.7202 (Computer Software), as applicable. -
Tsunamis Following the 1992 Nicaragua and Flores Events
Pure Appl. Geophys. 176 (2019), 2771–2793 Ó 2019 Springer Nature Switzerland AG https://doi.org/10.1007/s00024-019-02244-x Pure and Applied Geophysics Twenty-Five Years of Progress in the Science of ‘‘Geological’’ Tsunamis Following the 1992 Nicaragua and Flores Events 1 EMILE A. OKAL Abstract—We review a set of 47 tsunamis of geological origin Mindanao, Philippines, and in 1983 in the Sea of (triggered by earthquakes, landslides or volcanoes) which have Japan. While substantial progress was made in the occurred over the past 25 years and provided significant new insight into theoretical, experimental, field, or societal aspects of 1970s and 1980s on the theoretical and experimental tsunami science. Among the principal developments in our com- front (e.g., Hammack 1973; Ward 1980; Bernard and mand of various aspects of tsunamis, we earmark the development Milburn 1985), scientists still lacked the motivation of the W-phase inversion for the low-frequency moment tensor of the parent earthquake; the abandonment of the concept of a max- provided by exceptional and intriguing field imum earthquake magnitude for a given subduction zone, observations. controlled by simple plate properties; the development and The two tsunamis of 02 September 1992 in implementation of computer codes simulating the interaction of tsunamis with initially dry land at beaches, thus introducing a Nicaragua and 12 December 1992 in Flores Island, quantitative component to realistic tsunami warning procedures; Indonesia provided our community with a wealth of and the recent in situ investigation of current velocities, in addition challenges which spawned a large number of new to the field of surface displacements, during the interaction of investigations covering the observational, experi- tsunamis with harbors. -
Application of Particle Swarm Optimization in Optimal Placement of Tsunami Sensors
Application of particle swarm optimization in optimal placement of tsunami sensors Angelie Ferrolino1, Renier Mendoza1, Ikha Magdalena2 and Jose Ernie Lope1 1 Institute of Mathematics, University of the Philippines Diliman, Quezon City, Philippines 2 Faculty of Mathematics and Natural Sciences, Institut Teknologi Bandung, Bandung, Indonesia ABSTRACT Rapid detection and early warning systems demonstrate crucial significance in tsunami risk reduction measures. So far, several tsunami observation networks have been deployed in tsunamigenic regions to issue effective local response. However, guidance on where to station these sensors are limited. In this article, we address the problem of determining the placement of tsunami sensors with the least possible tsunami detection time. We use the solutions of the 2D nonlinear shallow water equations to compute the wave travel time. The optimization problem is solved by implementing the particle swarm optimization algorithm. We apply our model to a simple test problem with varying depths. We also use our proposed method to determine the placement of sensors for early tsunami detection in Cotabato Trench, Philippines. Subjects Optimization Theory and Computation, Scientific Computing and Simulation Keywords Particle swarm optimization, Nonlinear shallow water equations, Tsunami sensors, Tsunami early warning system, Heuristic algorithm, Finite volume method INTRODUCTION While not the most prevalent among all natural disasters, tsunamis rank higher in scale compared to any others because of its destructive potential. Tsunamis are a series of Submitted 7 August 2020 Accepted 18 November 2020 ocean waves prompted by the displacement of a large volume of water. They can be Published 18 December 2020 generated by earthquakes, landslides, volcanic eruptions and even meteor impacts, Corresponding author although they mostly take place in subduction zones caused by underwater earthquakes. -
The Discovery of a Sibling Species Next to Cyme Reticulata Felder, 1861 in New Guinea and a Review of Some Allied Taxa (Lepidoptera: Erebidae, Arctiinae, Lithosiini)
113 The discovery of a sibling species next to Cyme reticulata Felder, 1861 in New Guinea and a review of some allied taxa (Lepidoptera: Erebidae, Arctiinae, Lithosiini) The discovery of a sibling species next to Cyme reticulata Felder, 1861 in New Guinea and a review of some allied taxa (Lepidoptera: Erebidae, Arctiinae, Lithosiini) Noortje Looijenga Pauwenkamp 203, 3607 GP Maarssen, The Netherlands email: [email protected] Suara Serangga Papua (SUGAPA digital) 13(2): 113-130. urn:Isid:zoobank.org:pub: 793C1B2C-050B-4CBB-85BF-48F9AC1A1184 Abstract: The species Cyme reticulata Felder, 1861 shows a great variability in New Guinea, and adjacent islands. One of these very common forms appeared to be a new sibling species which is described in this paper: Cyme laeta spec. nov. Four long forgotten allied taxa, described by the authors Rudolf van Eecke and Gustaaf Hulstaert, are compared and treated: Asura roseifusa Hulstaert, 1924a and Asura flavagraphia Van Eecke, 1926 are placed in Cyme (comb.nov.); Asura punctilinea Hulstaert, 1924a syn.nov. and Asura punctilinea aquilonis Hulstaert, 1924b syn.nov. are synonymized with Cyme reticulata Felder, 1861. Of all taxa concerned the adults and genitalia are depicted. Rangkuman: Spesies Cyme reticulate Felder, 1861 menunjukan variasi yang sangat besar di New Guinea dan kepulauannya. Salah satu bentuk umum spesies ini ternyata dibuktikan sebagai spesies tersendiri dan dideskripsi disini: Cyme laeta spec. nov. Empat taksa berkeluarga yang lama dilupakan dan yang dideskripsi oleh Rudolf van Eecke dan Gustaaf Hulstaert, dibandingkan dan dibahas: Asura roseifusa Hulstaert, 1924a dan Asura flavagraphia Van Eecke, 1926 ditempatkan di Cyme (comb.nov.); Asura punctilinea Hulstaert, 1924a syn.nov. -
Evaluating the Seismic Hazards in Metro Manila, Philippines
EVALUATING THE SEISMIC HAZARDS IN METRO MANILA, PHILIPPINES Ivan Wong1, Timothy Dawson2, and Mark Dober3 1 Principal Seismologist/Vice President, Seismic Hazards Group, URS Corporation, Oakland, California, USA 2 Project Seismic Geologist, Seismic Hazards Group, URS Corporation, Oakland, California, USA 3 Senior Staff Seismologist, Seismic Hazards Group, URS Corporation, Oakland, California, USA Email: [email protected] ABSTRACT: We have performed site-specific probabilistic seismic hazard analyses (PSHA) for four sites in the Manila metropolitan area. The Philippine Islands lie within a broad zone of deformation between the subducting Eurasian and Philippine Sea Plate. This deformation is manifested by a high level of seismicity, faulting, and volcanism. The Philippines fault zone is a major left-lateral strike-slip fault that remains offshore east of Manila. The Marikina Valley fault system (MVFS) is the closest active fault to Manila and represents the most likely near-field source of large damaging earthquakes. The largest earthquake that has struck Manila historically, surface wave magnitude (MS) 7.5, occurred in 1645. Manila has experienced other historical damaging earthquakes numerous times. We have included 14 crustal faults, and the Manila Trench, Philippines Trench, and East Luzon Trough subduction zones (both megathrusts and Wadati-Benioff zones) in our seismic source model. We also have accounted for background crustal seismicity through the use of an areal source zone and Gaussian smoothing. Very little paleoseismic data is available for crustal faults in the Philippines including the MVFS so we have included a large amount of epistemic uncertainty in the characterization of these faults using logic trees. New empirical ground motion predictive equations were used in the PSHA.