米林震后地质灾害空间分布特征及易发性分析
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摘要
2017年11月18日西藏米林发生M_S6.9级强震并引发严重的次生地质灾害。为研究其地质灾害的空间分布规律,利用遥感技术提取该区域的滑坡、崩塌等灾害信息。在此基础上,引入高程、坡度、坡向、地层岩性、水系和断层等六种地震触发的地质灾害影响因素,并利用层次分析法(AHP)确定各影响因素在地质灾害易发性评价中所占权重,得到了研究区地质灾害易发性空间分布图。结果表明,该研究区地质灾害总面积达到32.77 km~2,并以中小浅层滑坡和崩塌为主,且55.6%的地质灾害位于极易发区。
A strong earthquake occurred in Milin, Tibet in November 18, 2017, M_S 6.9, which caused serious secondary geological disasters. In order to study the spatial distribution law of geological hazards, remote sensing technology was used to extract landslide and collapse information in this area. On this basis, the influence factors of geological disasters triggered by six kinds of earthquake, such as elevation, slope, slope, lithology, water system and fault, are introduced, and the weight of the influence factors in the vulnerability assessment of geological disasters is determined by the analytic hierarchy process(AHP), and the spatial distribution map of the ground quality disaster is obtained. The results show that the total area of geological hazards in this study area is 32.77 km~2, and the primary and small shallow landslides and landslides are mainly in the study area, and 55.6% of the geological disasters are located in the extremely prone areas.
A strong earthquake occurred in Milin, Tibet in November 18, 2017, M_S 6.9, which caused serious secondary geological disasters. In order to study the spatial distribution law of geological hazards, remote sensing technology was used to extract landslide and collapse information in this area. On this basis, the influence factors of geological disasters triggered by six kinds of earthquake, such as elevation, slope, slope, lithology, water system and fault, are introduced, and the weight of the influence factors in the vulnerability assessment of geological disasters is determined by the analytic hierarchy process(AHP), and the spatial distribution map of the ground quality disaster is obtained. The results show that the total area of geological hazards in this study area is 32.77 km~2, and the primary and small shallow landslides and landslides are mainly in the study area, and 55.6% of the geological disasters are located in the extremely prone areas.
引文
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[2] 魏永明,魏显虎,陈玉.岷江流域映秀-茂县段地震次生灾害分布规律及发展趋势分析[J].国土资源遥感,2014,26(4):179-186.WEI Yongming,WEI Xianhu,CHEN Yu.Analysis of distribution regularity and development tendency of earthquake secondary geohazards in Yingxiu-Maoxian section along the MinjiangRiver[J].Remote Sensing for Land and Resources,2014,26(4):179-186.(in Chinese)
[3] Zhuang Jiaqi,Peng Jianbing,Xu Chong,et al.Distribution and characteristics of loess landslides triggered by the 1920 Haiyuan Earthquake,Northwest of China [J].Geomorphology,2018,314:1-12.
[4] Anniballe.Earthquake damage mapping:An overall assessment of ground surveys and VHR image change detection after L'Aquila 2009 earthquake [J].Remote Sensing of Environment,2018,210:166-178.
[5] Havivi.Combining TerraSAR-X and Landsat Images for Emergency Response in Urban Environments [J].Remote Sensing,2018,10(5):802.
[6] 黄森旺,孔纪名,崔云,等.“4.25”尼泊尔Ms 8.1地震地质灾害空间分布规律与危险性分区 [J].自然灾害学报,2017,26(1):80-88.HUANG Senwang,KONG Jiming,CUI Yun,et al.Disasterous spatial distribution and danger zonation of secondary geological disaster in Xizang after “4.25” Ms 8.1 Nepal earthquake[J].Journal of Natural Disasters,2017,26(1):80-88.
[7] 许冲,戴福初,姚鑫,等.基于GIS的汶川地震滑坡灾害影响因子确定性系数分析[J].岩石力学与工程学报,2010(S1):2972-2981.XU Chong,DAI Fuchu,YAO Xin,et al.GIS based certainty factor analysis of landslide triggering factors in Wenchuan earthquake[J].Chinese Journal of Rock Mechanics and Engineering,2010(S1):2972-2981.(in Chinese)
[8] Wang Ying.Spatial pattern and influencing factors of landslide casualty events [J].Journal of Geographical Sciences,2018:259-274.
[9] Fan Xuanmei.Coseismic landslides triggered by the 8th August 2017 Ms 7.0 Jiuzhaigou earthquake (Sichuan,China):factors controlling their spatial distribution and implications for the seismogenic blind fault identification [J].Landslides,2018,15(5):967-983.
[10] Chen Xiaoli,Liu chunguo,wangMingming.Cause of unusual distribute of coseismic landslides triggered by the Mw6.1 2014 Ludian,Yunnan,China earthquake [J].Journal of Asian Earth Sciences,2018,159:17-23.
[11] 黄润秋,李为乐.“5.12”汶川大地震触发地质灾害的发育分布规律研究[J].岩石力学与工程学报,2008,27(12):2585-2592.HUANG Runqiu,LI Weile.Research on development and distribution results of geohazards induced by Wenchuan earthquake on 12th May,2008[J].Chinese Journal of Rock Mechanics and Engineering,2008,27(12):2585-2592.
[12] Song Danqing,Chen Jundong,CaiJianhua.Deformation monitoring of rock slope with weak bedding structural plane subject to tunnel excavation [J].Arabian Journal of Geosciences,2018,11(11):251-255.
[13] Nyimbili.Integration of GIS,AHP and TOPSIS for earthquake hazard analysis [J].Natural Hazards,2018,92(3):1523-1546.
[14] Lyu HM.Assessment of Geohazards and Preventative Countermeasures Using AHP Incorporated with GIS in Lanzhou,China [J].Sustainability,2018,10(2):304.
[15] Wen Haijia.Rapid susceptibility mapping of earthquake-triggered slope geohazards in Lushan County by combining remote sensing with the AHP model developed for the Wenchuan earthquake [J].Building of Engineering Geology and the Environment,2017,76(3):909-921.
[16] Basharat Muhammad.Landslide susceptibility mapping using GIS and weighted overlay method:a case study from NW Himalayas,Pakistan [J].Arabian Journal of Geoscience,2016,9(4):292.
[17] 黄赠.隐伏断层地震诱发滑坡易发性多尺度评价[D].浙江:浙江大学,2017.HUANG Zeng.Multiscale Susceptibility Zonation of Landslides Triggered by Buried Fault Earthquake[D].Zhejiang University,2017.
[18] Chen Jian.Debris-Flow Susceptibility Assessment Model and Its Application in Semiarid Mountainous Areas of the Southeastern Tibetan Plateau [J].Natural Hazards Review,2017,18(2):1-15.
[19] Bathrellos.Suitability estimation for urban development using multi-hazard assessment map [J].Science of the Total Environment,2017,575:119-134.
[20] Yang Zhihua.Urgent landslide susceptibility assessment in the 2013 Lushan earthquake-impacted area,Sichuan Province,China [J].Natural Hazards,2015,75(3):2467-2487.
[21] MengQingkai.GIS-based landslide susceptibility mapping with logistic regression,analytical hierarchy process,and combined fuzzy and support vector machine methods:a case study from Wolong Giant Panda Natural Reserve,China [J].Building of Engineering Geology and the Environment,2016,75(3):923-944.
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