Three‑Dimensional Seismic Velocity Structure in the Sichuan Basin, China
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Landslides Triggered by the Ms =7.0 Lushan Earthquake, China
Nat. Hazards Earth Syst. Sci., 14, 1257–1267, 2014 www.nat-hazards-earth-syst-sci.net/14/1257/2014/ doi:10.5194/nhess-14-1257-2014 © Author(s) 2014. CC Attribution 3.0 License. Brief Communication: Landslides triggered by the Ms = 7.0 Lushan earthquake, China X. L. Chen1, L. Yu1, M. M. Wang2, C. X. Lin3, C. G. Liu4, and J. Y. Li1 1Key Laboratory of Active Tectonics and Volcano, Institute of Geology, China Earthquake Administration, Beijing, 100029, China 2Earthquake Administration of Sichuan Province, Chengdu, 610041, China 3Beijing Institute of Geology, Beijing, 100120, China 4China Earthquake Networks Center, Beijing, 100045, China Correspondence to: X. L. Chen ([email protected]) Received: 19 June 2013 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 7 August 2013 Revised: 10 April 2014 – Accepted: 12 April 2014 – Published: 23 May 2014 Abstract. Earthquake-triggered landslides have drawn much slide concentration area during the Lushan earthquake com- attention around the world because of the severe hazards they pared to other methods. pose. The 20 April 2013 Ms = 7.0 Lushan Earthquake, which occurred in the Longmen Shan region in Sichuan province, China, triggered more than 1000 landslides throughout an area of about 2200 km2, and completely blocked many roads 1 Introduction and exacerbated overall transportation problems in the moun- tainous terrain. Preliminary landslide inventory is complied At 08:02 LT (Beijing Time) on 20 April 2013, a strong immediately following the earthquake, mainly based on the earthquake with Ms = 7.0 in surface wave magnitude high-resolution remote sensing images. At the same time, the occurred at the eastern margin of the Tibetan Plateau distribution of these landslides is statistically investigated to in Sichuan province, China. -
Institute of Mineral Resources, CAGS
2014 REPORTAnnual CHINESE ACADEMY OF GEOLOGICAL SCIENCES Geological Publishing House SUMMARY This Annual Report documents the work of the Chinese Academy of Geological Sciences in major aspects of 2014, covering management and supporting services in science and technology, representative research achievements, construction of key laboratories, international collaboration and exchanges, graduate education, and academic publications, and systematically outlines the advances of the Academy in development in the year 2014. The present work can serve as reference for those who are working and studying in the field of earth sciences or dealing with scientific and technological management as regards land and resources, and also for teachers and students engaged in relevant fields at colleges and universities. Technical Editors: TianYe Cataloging-in-Publication Data 2014 Annual Report Edited by Chinese Academy of Geological Sciences. -Beijing: Geological Publishing House, 2015.11 ISBN 978-7-116-09480-2 Ⅰ. ①Chinese... Ⅱ. ①Chinese... Ⅲ. ①Geology-research-China-2014-Annual -English Ⅳ. ①P5-54 Archives Library of Chinese Publications CIP data check number (2015) - 266146 图书在版编目(CIP)数据 中国地质科学院年报 . 2014 :英文 / 中国地质科学院编 . — 北京:地质出版社,2015. 11 ISBN 978-7-116-09480-2 Ⅰ. ①中... Ⅱ. ①中... Ⅲ. ①地质学-研究-中国- 2014 -年报-英文 Ⅳ. ① P5-54 中国版本图书馆 CIP 数据核字(2015)第 266146 号 © Geological Publishing House, 2015 Printed in China All rights reserved. No part of this book may be reproduced in any form without written permission from the publisher. Published and distributed by Geological -
World Sci-Tech Level Factbook 世界科技水平概况
World Sci-Tech Level Factbook 世界科技水平概况 Global Scientific Index GSIndex on January 2020 环球科技指数 2020年1月 GEOSCIENCES 地球科学 721 Best Institutes on the World 世界721个最好的机构 Http://www.walindex.com Institute of Supply Chain Management 供应链学会 Address: 6/F Bangkok Bank Building, 490 Nathan Road, Hong Kong Email: [email protected] RGSIndex Institutes GSIndex 相对环球科技指数(哈 机构 环球科技指数 佛大学 HARVARD UNIVERSITY =100 ) 1 UNIVERSITY OF CALIFORNIA SYSTEM 11937283 449.6375 CENTRE NATIONAL DE LA RECHERCHE 2 10769728 405.6596 SCIENTIFIQUE (CNRS) NATIONAL OCEANIC ATMOSPHERIC ADMIN 3 9427092 355.0870 (NOAA) - USA NATIONAL AERONAUTICS & SPACE 4 8589336 323.5316 ADMINISTRATION (NASA) NATIONAL CENTER ATMOSPHERIC 5 7919982 298.3192 RESEARCH (NCAR) - USA 6 CHINESE ACADEMY OF SCIENCES 6560508 247.1124 SWISS FEDERAL INSTITUTES OF 7 6354946 239.3696 TECHNOLOGY DOMAIN 8 HELMHOLTZ ASSOCIATION 6270770 236.1989 UNITED STATES DEPARTMENT OF ENERGY 9 5779768 217.7045 (DOE) 10 NASA GODDARD SPACE FLIGHT CENTER 5681431 214.0005 11 UNIVERSITY OF COLORADO BOULDER 5582196 210.2626 12 UNIVERSITY OF COLORADO SYSTEM 5532743 208.3999 NERC NATURAL ENVIRONMENT RESEARCH 13 4734340 178.3267 COUNCIL 14 CALIFORNIA INSTITUTE OF TECHNOLOGY 4610545 173.6638 15 MAX PLANCK SOCIETY 4486918 169.0072 16 ETH ZURICH 4448925 167.5761 17 UNIVERSITY OF WASHINGTON 3979281 149.8862 18 UNIVERSITY OF WASHINGTON SEATTLE 3930630 148.0537 19 UNIV PARIS SACLAY COMUE 3919694 147.6417 CNRS - NATIONAL INSTITUTE FOR EARTH 20 3876977 146.0327 SCIENCES & ASTRONOMY (INSU) 21 UNIVERSITE PARIS SACLAY 3760196 141.6340 22 COLUMBIA -
Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility
International Journal of Geo-Information Article Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility Xiao-li Chen 1,*, Xin-jian Shan 1, Ming-ming Wang 2, Chun-guo Liu 3 and Na-na Han 4 1 Institute of Geology, China Earthquake Administration, Beijing 100029, China; [email protected] 2 Sichuan Earthquake Administration, Chengdu 610041, China; [email protected] 3 China Earthquake Networks Center, Beijing 100045, China; [email protected] 4 Seismological Bureau of Shanghai, Shanghai 200062, China; [email protected] * Correspondence: [email protected]; Tel.: +86-10-6200-9056 Received: 13 January 2020; Accepted: 24 March 2020; Published: 27 March 2020 Abstract: On 8 August 2017 an earthquake (MS7.0) occurred within Jiuzhaigou County, Northern Aba Prefecture, Sichuan Province, China, triggering 4834 landslides with an individual area greater than 7.8 m2 over a more than 400 km2 region. Instead of correlating geological and topographic factors with the coseismic landslide distribution pattern, this study has attempted to reveal the control from seismic landslide susceptibility mapping, which relies on the calculation of critical acceleration values using a simplified Newmark block model. We calculated the average critical acceleration for each cell of the gridded study area (1 km 1 km), which represented the seismic landslide susceptibility × of the cell. An index of the potential landslide area generation rate was defined, i.e., the possible landsliding area in each grid cell. In combination with PGA (peak ground acceleration) distribution, we calculated such indexes for each cell to predict the possible landslide hazard under seismic ground shaking.