CSCD来源期刊

北大中文核心期刊

中国科技核心期刊

地学领域高质量科技期刊分级T2区（2023）

世界期刊影响力指数报告Q1区（2023）

Turn off MathJax
Article Contents
Article Navigation >  Bulletin of Geological Science and Technology  > 2025  > Corrected proof
SONG Jingyuan，LIU Yang，DONG Xiujun，et al. Spatial distribution of earthquake-induced landslide in densely populated area of the Luding 9·5 earthquake[J]. Bulletin of Geological Science and Technology，2025，44（0）：1-13 doi: 10.19509/j.cnki.dzkq.tb20230619
Citation: SONG Jingyuan，LIU Yang，DONG Xiujun，et al. Spatial distribution of earthquake-induced landslide in densely populated area of the Luding 9·5 earthquake[J]. Bulletin of Geological Science and Technology，2025，44（0）：1-13 doi: 10.19509/j.cnki.dzkq.tb20230619
shu

Spatial distribution of earthquake-induced landslide in densely populated area of the Luding 9·5 earthquake

doi: 10.19509/j.cnki.dzkq.tb20230619
  • 1.

    State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610059, China

  • 2.

    Department of Natural Resources of Sichuan Province , Chengdu 610072 , China

More Information
  • Author Bio:

    E-mail：2990732818@qq.com

  • Corresponding author: E-mail：2990732818@qq.com
  • Received Date: 03 Nov 2023
  • Accepted Date: 05 Dec 2023
  • Rev Recd Date: 05 Dec 2023
    • Available Online: 17 Dec 2023
    Abstract
  • Objective

    Studying the spatial distribution law of earthquake-induced landslides can not only provide an important basis for the investigation of hidden dangers of geological disasters in disaster areas, but also be of great significance for post-disaster reconstruction, post-disaster resettlement and site selection, and geological disaster prevention and control.

    Methods

    Taking the earthquake with Ms6.8 in Luding County, Ganzi, Sichuan Province on September 5, 2022 as an example, firstly, based on the optical image (DOM) with 0.2m resolution and the digital elevation model (DEM) with 0.5 m resolution obtained after the earthquake, the earthquake-induced landslides were interpreted by artificial visual three-dimensional remote sensing, and then combined with field investigation and correction, the final number of earthquake-induced landslides was determined. On this basis, the relationship between the geological background such as topography, geological structure and seismic factors and the distribution of earthquake-induced landslides was analyzed.

    Results

    ①The Luding earthquake event triggered 9248 landslides in the study area of about 680km2, mainly small and medium-sized landslides, and the highest area density of landslides was concentrated in the intersection of Xianshuihe fault, Daduhe fault and Jinping mountain fault. The total landslide area is about 45.57 km2, and the average landslide area can reach 4941m2; ②The distribution of landslides in this earthquake is mainly influenced by PGA and fault structures, and most of them are distributed within the range of PGA> 0.6 g and 1km from both sides of the seismogenic fault; In addition, the development of landslide is negatively related to the distance from water system and road; Locally influenced by topographic factors, it mainly develops at the elevation of 1200-2400 m, the slope is 30-60, and the slope is eastward and southeast, and the stratum lithology is mostly hard rock; ③The relationship between the number and area of landslides and magnitude of Luding earthquake also follows exponential distribution; At the same time, due to the high accuracy of the basic data of this interpretation, the number of earthquake landslides obtained by interpretation is more than that of other documents, with a smaller minimum area and a larger total area.

    Conclusion

    The results obtained in this study have been applied to the post-disaster recovery and reconstruction in Luding earthquake-stricken area.

     

    • FullText(HTML)
  • loading
    • References(40)
  • [1]
    范宣梅,王欣,戴岚欣,等. 2022年Ms 6.8级泸定地震诱发地质灾害特征与空间分布规律研究[J]. 工程地质学报,2022,30(5):1504-1516.

    FAN X M,WANG X,DAI L X,et al. Characteristics and spatial distribution pattern of Ms 6.8 Luding earthquake occurred on September 5,2022[J]. Journal of Engineering Geology,2022,30(5):1504-1516. (in Chinese with English abstract
    [2]
    王欣,方成勇,唐小川,等. 泸定Ms 6.8地震诱发滑坡应急评价研究[J]. 武汉大学学报(信息科学版),2023,48(1):25-35.

    WANG X,FANG C Y,TANG X C,et al. Research on emergency evaluation of landslides induced by the Luding Ms 6.8 earthquake[J]. Geomatics and Information Science of Wuhan University,2023,48(1):25-35. (in Chinese with English abstract
    [3]
    ZHAO B,HU K H,YANG Z J,et al. Geomorphic and tectonic controls of landslides induced by the 2022 Luding earthquake[J]. Journal of Mountain Science,2022,19(12):3323-3345. doi: 10.1007/s11629-022-7732-8
    [4]
    魏旭,彭志忠,刘兴臣,等. 泸石高速公路沿线历史地震诱发滑坡遥感调查及发育分布规律[J]. 地质科技通报,2024,43(2):386-396.

    WEI X,PENG Z Z,LIU X C,et al. Remote sensing investigation and development distribution of historical earthquake-induced landslides along Lushi Expressway[J]. Bulletin of Geological Science and Technology,2024,43(2):386-396. (in Chinese with English abstract
    [5]
    李传友,孙凯,马骏,等. 四川泸定6.8级地震:鲜水河断裂带磨西段局部发起、全段参与的一次复杂事件[J]. 地震地质,2022,44(6):1648-1666. doi: 10.3969/j.issn.0253-4967.2022.06.017

    LI C Y,SUN K,MA J,et al. The 2022 Ms 6.8 Luding earthquake:A complicated event by faulting of the moxi segment of the Xianshuihe fault zone[J]. Seismology and Geology,2022,44(6):1648-1666. (in Chinese with English abstract doi: 10.3969/j.issn.0253-4967.2022.06.017
    [6]
    邓建辉,韦晓,戴仕贵,等. 泸定地震诱发灾害特征分析[J]. 工程科学与技术,2024,56(1):117-126.

    DENG J H,WEI X,DAI S G,et al. Characterization analysis of triggered disasters in the Luding earthquake[J]. Advanced Engineering Sciences,2024,56(1):117-126. (in Chinese with English abstract
    [7]
    孙东,杨涛,曹楠,等. 泸定Ms 6.8地震同震地质灾害特点及防控建议[J]. 地学前缘,2023,30(3):476-493.

    SUN D,YANG T,CAO N,et al. Characteristics and mitigation of coseismic geohazards associated with the Luding Ms 6.8 earthquake[J]. Earth Science Frontiers,2023,30(3):476-493. (in Chinese with English abstract
    [8]
    唐辉明. 重大滑坡预测预报研究进展与展望[J]. 地质科技通报,2022,41(6):1-13.

    TANG H M. Advance and prospects of major landslides prediction and forecasting[J]. Bulletin of Geological Science and Technology,2022,41(6):1-13. (in Chinese with English abstract
    [9]
    张佳佳,陈龙,李元灵,等. 2022年9月5日泸定Ms 6.8地震的同震地质灾害发育特征及主控因素分析[J]. 地震学报,2023,45(2):167-178. doi: 10.11939/jass.20220215

    ZHANG J J,CHEN L,LI Y L,et al. Development characteristics and controlling factors of coseismic geohazards triggered by the Luding Ms 6.8 earthquake occurred on September 5,2022[J]. Acta Seismologica Sinica,2023,45(2):167-178. (in Chinese with English abstract doi: 10.11939/jass.20220215
    [10]
    许冲,徐锡伟,吴熙彦,等. 2008年汶川地震滑坡详细编目及其空间分布规律分析[J]. 工程地质学报,2013,21(1):25-44. doi: 10.3969/j.issn.1004-9665.2013.01.004

    XU C,XU X W,WU X Y,et al. Detailed catalog of landslides triggered by the 2008 Wenchuan earthquake and statistical analyses of their spatial distribution[J]. Journal of Engineering Geology,2013,21(1):25-44. (in Chinese with English abstract doi: 10.3969/j.issn.1004-9665.2013.01.004
    [11]
    许冲. 2008年汶川地震滑坡编录及其量化成果[J]. 地质学报,2013,87(增刊1):307-308.

    XU C. Landslide catalogue of the 2008 Wenchuan earthquake and its quantitative results[J]. Acta Ceologica Sinica,2013,87(S1):307-308. (in Chinese with English abstract
    [12]
    殷跃平. 汶川八级地震地质灾害研究[J]. 工程地质学报,2008,16(4):433-444. doi: 10.3969/j.issn.1004-9665.2008.04.001

    YIN Y P. Researches on the geo-hazards triggered by Wenchuan earthquake,Sichuan[J]. Journal of Engineering Geology,2008,16(4):433-444. (in Chinese with English abstract doi: 10.3969/j.issn.1004-9665.2008.04.001
    [13]
    XU C,XU X W,SHYU J B H. Database and spatial distribution of landslides triggered by the Lushan,China Mw 6.6 earthquake of 20 April 2013[J]. Geomorphology,2015,248:77-92. doi: 10.1016/j.geomorph.2015.07.002
    [14]
    张佳佳,李海兵,赵国华,等. 2013年四川芦山地震次生山地灾害发育规律[J]. 地质通报,2015,34(5):898-907.

    ZHANG J J,LI H B,ZHAO G H,et al. Features of secondary mountain hazards triggered by the 2013 Lushan earthquake,Sichuan Province[J]. Geological Bulletin of China,2015,34(5):898-907. (in Chinese with English abstract
    [15]
    LING S X,SUN C W,LI X N,et al. Characterizing the distribution pattern and geologic and geomorphic controls on earthquake-triggered landslide occurrence during the 2017 Ms 7.0 Jiuzhaigou earthquake,Sichuan,China[J]. Landslides,2021,18(4):1275-1291. doi: 10.1007/s10346-020-01549-6
    [16]
    许冲,王世元,徐锡伟,等. 2017年8月8日四川省九寨沟Ms7.0地震触发滑坡全景[J]. 地震地质,2018,40(1):232-260. doi: 10.3969/j.issn.0253-4967.2018.01.017

    XU C,WANG S Y,XU X W,et al. A panorama of landslides triggered by the 8 August 2017 Jiuzhaigou,Sichuan Ms 7.0 earthquake[J]. Seismology and Geology,2018,40(1):232-260. (in Chinese with English abstract doi: 10.3969/j.issn.0253-4967.2018.01.017
    [17]
    ZHAO B,LI W L,SU L J,et al. Insights into the landslides triggered by the 2022 Lushan Ms6.1 earthquake:Spatial distribution and controls[J]. Remote Sensing,2022,14(17):4365. doi: 10.3390/rs14174365
    [18]
    范宣梅,方成勇,戴岚欣,等. 地震诱发滑坡空间分布概率近实时预测研究:以2022年6月1日四川芦山地震为例[J]. 工程地质学报,2022,30(3):729-739.

    FAN X M,FANG C Y,DAI L X,et al. Near real time prediction of spatial distribution probability of earthquake-induced landslides:Taking the Lushan earthquake on June 1,2022 as an example[J]. Journal of Engineering Geology,2022,30(3):729-739. (in Chinese with English abstract
    [19]
    HAKAN T,LUIGI L. Completeness index for earthquake-induced landslide inventories[J]. Engineering Geology,2020,264:105331. doi: 10.1016/j.enggeo.2019.105331
    [20]
    HUANG Y D,XIE C C,LI T,et al. An open-accessed inventory of landslides triggered by the Ms 6.8 Luding earthquake,China on September 5,2022[J]. Earthquake Research Advances,2023,3(1):37-44.
    [21]
    铁永波,张宪政,卢佳燕,等. 四川省泸定县Ms 6.8级地震地质灾害发育规律与减灾对策[J]. 水文地质工程地质,2022,49(6):1-12.

    TIE Y B,ZHANG X Z,LU J Y,et al. Characteristics of geological hazards and it’s mitigations of the Ms 6.8 earthquake in Luding County,Sichuan Province[J]. Hydrogeology & Engineering Geology,2022,49(6):1-12. (in Chinese with English abstract
    [22]
    陈博,李振洪,黄武彪,等. 2022年四川泸定Mw6.6级地震诱发地质灾害空间分布及影响因素[J]. 地球科学与环境学报,2022,44(6):971-985.

    CHEN B,LI Z H,HUANG W B,et al. Spatial distribution and influencing factors of geohazards induced by the 2022 Mw 6.6 Luding (Sichuan,China)earthquake[J]. Journal of Earth Sciences and Environment,2022,44(6):971-985. (in Chinese with English abstract
    [23]
    张宪政,铁永波,李光辉,等. 四川泸定Ms 6.8级地震区湾东河流域泥石流活动性预测[J]. 地质力学学报,2022,28(6):1035-1045.

    ZHANG X Z,TIE Y B,LI G H,et al. Characteristics and risk assessment of debris flows in the Wandong catchment after the Ms 6.8 Luding earthquake[J]. Journal of Geomechanics,2022,28(6):1035-1045. (in Chinese with English abstract
    [24]
    XIONG J,CHEN H Y,ZENG L,et al. Coseismic landslide sediment increased by the “9.5” Luding earthquake,Sichuan,China[J]. Journal of Mountain Science,2023,20(3):624-636. doi: 10.1007/s11629-022-7770-2
    [25]
    ZHANG J Q,YANG Z J,MENG Q K,et al. Distribution patterns of landslides triggered by the 2022 Ms 6.8 Luding earthquake,Sichuan,China[J]. Journal of Mountain Science,2023,20(3):607-623. doi: 10.1007/s11629-022-7772-0
    [26]
    XIAO Z K,XU C,HUANG Y D,et al. Analysis of spatial distribution of landslides triggered by the Ms 6.8 Luding earthquake in China on September 5,2022[J]. Geoenvironmental Disasters,2023,10(1):3. doi: 10.1186/s40677-023-00233-w
    [27]
    张雨,明冬萍,赵文祎,等. 基于高分光学卫星影像的泸定地震型滑坡提取与分析[J]. 自然资源遥感,2023,35(1):161-170.

    ZHANG Y,MING D P,ZHAO W Y,et al. The extraction and analysis of Luding earthquake-induced landslide based on high-resolution optical satellite images[J]. Remote Sensing for Natural Resources,2023,35(1):161-170. (in Chinese with English abstract
    [28]
    邓博,张会,柏君,等. 利用机载LiDAR的深圳市斜坡类地质灾害危险性评价[J]. 武汉大学学报(信息科学版),2024,49(8):1377-1391.

    DENG B,ZHANG H,BAI J,et al. Hazard evaluation of the slope based on airborne LiDAR data in Shenzhen,China[J]. Geomatics and Information Science of Wuhan University,2024,49(8):1377-1391. (in Chinese with English abstract
    [29]
    YUSOFF H H M,RAZAK K A,YUEN F,et al. Mapping of post-event earthquake induced landslides in Sg. Mesilou using LiDAR[J]. IOP Conference Series:Earth and Environmental Science,2016,37:012068. doi: 10.1088/1755-1315/37/1/012068
    [30]
    LIU W,YAMAZAKI F,MARUYAMA Y. Detection of earthquake-induced landslides during the 2018 Kumamoto earthquake using multitemporal airborne lidar data[J]. Remote Sensing,2019,11(19):2292. doi: 10.3390/rs11192292
    [31]
    RUIZ P,CARR M J,ALVARADO G E,et al. Coseismic landslide susceptibility analysis using LiDAR data PGA attenuation and GIS:The case of Poás volcano,costa rica,central America[M]. Berlin,Germary:Springer International Publishing,2019:79-118.
    [32]
    孟华君,乔建平,田宏岭,等. 小区域地震地质灾害空间分布特点分析方法探讨[J]. 工程地质学报,2014,22(1):14-23. doi: 10.3969/j.issn.1004-9665.2014.01.003

    MENG H J,QIAO J P,TIAN H L,et al. Method discussion on spatial distribution analysis of earthquake induced geohazards in small region[J]. Journal of Engineering Geology,2014,22(1):14-23. (in Chinese with English abstract doi: 10.3969/j.issn.1004-9665.2014.01.003
    [33]
    赵方彬,王运生,寇瑞斌,等. 四川珙县下软上硬山岭地貌斜坡地震动响应特征[J]. 地质科技通报,2023,42(2):279-287.

    ZHAO F B,WANG Y S,KOU R B,et al. Seismic dynamic response characteristics of the lower soft and upper hard mountain slopes in Gongxian,Sichuan[J]. Bulletin of Geological Science and Technology,2023,42(2):279-287. (in Chinese with English abstract
    [34]
    王佳运,张成航,高波,等. 玉树震区地质灾害分布规律与发育特征[J]. 工程地质学报,2013,21(4):508-515.

    WANG J Y,ZHANG C H,GAO B,et al. Distribution regularity and development characteristics of geohazards in Yushu earthquake area[J]. Journal of Engineering Geology,2013,21(4):508-515. (in Chinese with English abstract
    [35]
    杨秀元,姚亚辉,田运涛. 云南鲁甸“8·3” 震后地质灾害发育特征与分布规律[J]. 科学技术与工程,2018,18(24):16-21. doi: 10.3969/j.issn.1671-1815.2018.24.003

    YANG X Y,YAO Y H,TIAN Y T. Development law and distribution characteristics of geological hazards after “8·3” earthquake in Ludian,Yunnan[J]. Science Technology and Engineering,2018,18(24):16-21. (in Chinese with English abstract doi: 10.3969/j.issn.1671-1815.2018.24.003
    [36]
    蒋涛,崔圣华. 川滇地区典型强震诱发滑坡分布对比研究[J]. 科学技术与工程,2022,22(31):13662-13671. doi: 10.3969/j.issn.1671-1815.2022.31.007

    JIANG T,CUI S H. Comparative study on the distribution of typical strong earthquake-induced landslides in Sichuan and Yunnan regions[J]. Science Technology and Engineering,2022,22(31):13662-13671. (in Chinese with English abstract doi: 10.3969/j.issn.1671-1815.2022.31.007
    [37]
    XU C. Preparation of earthquake-triggered landslide inventory maps using remote sensing and GIS technologies:Principles and case studies[J]. Geoscience Frontiers,2015,6(6):825-836. doi: 10.1016/j.gsf.2014.03.004
    [38]
    许冲,徐锡伟,于贵华. 玉树地震滑坡分布调查及其特征与形成机制[J]. 地震地质,2012,34(1):47-62.

    XU C,XU X W,YU G H. Study on the characteristics,mechanism,and spatial distribution of Yushu earthquake triggered landslides[J]. Seismology and Geology,2012,34(1):47-62. (in Chinese with English abstract
    [39]
    ZOU Y,QI S W,GUO S F,et al. Factors controlling the spatial distribution of coseismic landslides triggered by the Mw 6.1 Ludian earthquake in China[J]. Engineering Geology,2022,296:106477. doi: 10.1016/j.enggeo.2021.106477
    [40]
    刘甲美,王涛,杜建军,等. 四川泸定Ms 6.8级地震诱发崩滑灾害快速评估[J]. 水文地质工程地质,2023,50(2):84-94.

    LIU J M,WANG T,DU J J,et al. Emergency rapid assessment of landslides induced by the Luding Ms 6.8 earthquake in Sichuan of China[J]. Hydrogeology & Engineering Geology,2023,50(2):84-94. (in Chinese with English abstract
    • Relative Articles
    • Supplements(0)
    • Cited By
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索
    Get Citation
    PDF
    XML

    Article Metrics

    Article Views(146) PDF Downloads(23) Cited by()
    Proportional views
    Related

    Copyright © 2010Editorial Department of Bulletin of Geological Science and Technology    

    Supported by: Beijing Renhe Information Technology Co., Ltd.    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return