World Sci-Tech Level Factbook 世界科技水平概况
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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. -
Three‑Dimensional Seismic Velocity Structure in the Sichuan Basin, China
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Three‑dimensional seismic velocity structure in the Sichuan basin, China Wang, Maomao; Hubbard, Judith; Plesch, Andreas; Shaw, John H.; Wang, Lining 2016 Wang, M., Hubbard, J., Plesch, A., Shaw, J. H., & Wang, L. (2016). Three‑dimensional seismic velocity structure in the Sichuan basin, China. Journal of Geophysical Research: Solid Earth, 121(2), 1007‑1022. doi:10.1002/2015JB012644 https://hdl.handle.net/10356/88913 https://doi.org/10.1002/2015JB012644 © 2016 American Geophysical Union. This paper was published in Journal of Geophysical Research: Solid Earth and is made available as an electronic reprint (preprint) with permission of American Geophysical Union. The published version is available at: [http://dx.doi.org/10.1002/2015JB012644]. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. Downloaded on 07 Oct 2021 06:53:59 SGT PUBLICATIONS Journal of Geophysical Research: Solid Earth RESEARCH ARTICLE Three-dimensional seismic velocity structure 10.1002/2015JB012644 in the Sichuan basin, China Key Points: Maomao Wang1,2, Judith Hubbard1,3,4, Andreas Plesch1, John H. Shaw1, and Lining Wang5,6 • We present a high-resolution seismic velocity -
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 -
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.