ISSN 1009-6248CN 61-1149/P 双月刊

主管单位:中国地质调查局

主办单位:中国地质调查局西安地质调查中心
中国地质学会

    • 中文核心期刊
    • CSCD收录期刊
    • 中国科技核心期刊
    • Scopus收录期刊
高级检索

甘肃临夏积石山县6.2级地震地质灾害发育特征及危险性评价

高波, 董英, 贾俊, 薛强, 武文英, 李林, 王涛, 刘港, 江睿君

高波,董英,贾俊,等. 甘肃临夏积石山县6.2级地震地质灾害发育特征及危险性评价[J]. 西北地质,2024,57(2):209−219. doi: 10.12401/j.nwg.2024013
引用本文: 高波,董英,贾俊,等. 甘肃临夏积石山县6.2级地震地质灾害发育特征及危险性评价[J]. 西北地质,2024,57(2):209−219. doi: 10.12401/j.nwg.2024013
GAO Bo,DONG Ying,JIA Jun,et al. Development Feature and Risk Assessment of Geological Hazards Caused by the Ms 6.2 Earthquake in Jishishan County, Linxia, Gansu Province[J]. Northwestern Geology,2024,57(2):209−219. doi: 10.12401/j.nwg.2024013
Citation: GAO Bo,DONG Ying,JIA Jun,et al. Development Feature and Risk Assessment of Geological Hazards Caused by the Ms 6.2 Earthquake in Jishishan County, Linxia, Gansu Province[J]. Northwestern Geology,2024,57(2):209−219. doi: 10.12401/j.nwg.2024013

甘肃临夏积石山县6.2级地震地质灾害发育特征及危险性评价

基金项目: 国家自然科学基金项目“黄土丘陵植被与淤地坝调控重力侵蚀的协同作用机制”(42177346),中国地质调查局项目“西北黄土高原区地质灾害智能监测预警系统应用示范”(DD20230443),“黄土高原等典型地区地质灾害精细调查与风险管控”(DD20221739)联合资助。
详细信息
    作者简介:

    高波(1981−),男,高级工程师,从事地质灾害、工程地质、监测预警与风险评价研究。E-mail:43617102@qq.com

    通讯作者:

    董英(1981−),男,博士,正高级工程师,长期从事地质灾害、城市地质及重大工程地质安全风险评价。E-mail:dongy329@163.com

  • 中图分类号: P694

Development Feature and Risk Assessment of Geological Hazards Caused by the Ms 6.2 Earthquake in Jishishan County, Linxia, Gansu Province

  • 摘要:

    2023年12月18日23时59分,甘肃省临夏州积石山县发生Ms6.2级地震,诱发了大量崩滑地质灾害,严重威胁人民生命财产安全。基于震区现场实地调查成果,开展地震诱发加剧地质灾害的发育特征、危险性评价研究,提出防灾减灾措施建议。根据实地调查统计,此次地震后新增地质灾害隐患点64处,加剧的地质灾害隐患点有63处。新增和变形加剧的隐患点以崩塌为主,滑坡次之;规模等级以小型为主,中型次之。崩滑地质灾害主要集中在黄土丘陵区,以黄土陡坎地带切坡建房、切坡修路为主。利用GIS技术的加权信息量法评价积石山县域地质灾害易发性。结果显示,高易发区、中易发区、低易发区、非易发区占比分别为5.45%、9.83%、32.70%和52.02%,其中高易发区主要分布在积石山东部黄土丘陵区的山梁地带。基于区域地质灾害易发性评价,开展地震活动断裂、地震动分布以及不同降雨工况条件(10年、20年、50年、100年一遇)下积石山县域地质灾害危险性评价。结果显示:100年一遇极高危险区较10年一遇极高危险区的增幅最大为18.26%,说明未来区内遭遇极端降雨会显著提高区内地质灾害危险程度。研究认为,积石山地震地质灾害后效应将增强,未来崩塌、滑坡发生频次升高,地质灾害易在降水、冻融条件下形成,需针对性地采取防控措施,有效降低其威胁程度。

    Abstract:

    On December 18, 2023 at 23:59, an Ms6.2 earthquake occurred in Jishishan County, Linxia Prefecture, Gansu Province, triggering a large number of landslides and geological disasters, seriously threatening the safety of people's lives and property. This article is based on the results of on-site investigations in earthquake prone areas, conducting research on the development characteristics and risk assessment of geological disasters induced by earthquakes, and proposing suggestions for disaster prevention and reduction measures. According to on-site investigations and statistics, there are 64 new geological hazard points added after this earthquake. There are 63 potential geological hazards that have intensified. The main hidden danger points of newly added and intensified deformation are landslides, followed by landslides; The scale level is mainly small, followed by medium. Landslide geological disasters are mainly concentrated in loess hilly areas, with the main focus on building houses and roads by cutting slopes in steep loess slopes. The weighted information method based on GIS technology was used to evaluate the susceptibility of geological disasters in Jishishan County. The evaluation results showed that the proportions of high susceptibility areas, medium susceptibility areas, low susceptibility areas, and non susceptibility areas were 5.45%, 9.83%, 32.70%, and 52.02%, respectively. The high susceptibility areas were mainly distributed in the mountain ridge area of the loess hilly area in the eastern part of Jishi Mountain. On the basis of regional geological hazard susceptibility assessment, a geological hazard risk assessment of Jishishan County was conducted based on seismic activity faults, seismic motion distribution, and different rainfall conditions (10 year, 20 year, 50 year, 100 year return period). The evaluation results showed that the maximum increase in the 100 year return period extremely dangerous area compared to the 10 year return period extremely dangerous area was 18.26%, In the future, encountering extreme rainfall in the area will significantly increase the risk of geological disasters in the area. Research suggests that the post earthquake effects of geological disasters in Jishishan will be enhanced, and the frequency of landslides and collapses will increase in the future. Geological disasters are prone to form under precipitation and freeze-thaw conditions, and targeted prevention and control measures need to be taken to effectively reduce their threat level.

  • 图  1   甘肃积石山6.2级地震烈度图(据中华人民共和国应急管理部,2023修)

    Figure  1.   Intensity map of the 6.2 magnitude earthquake in Jishishan, Gansu Province

    图  2   积石山县地质图

    Figure  2.   Geological map of Jishishan county

    图  3   积石山县地质灾害分布图

    Figure  3.   Geological hazard distribution map of Jishishan county

    图  4   积石山县地震地质灾害规模类型统计图

    Figure  4.   Statistical chart of the scale and types of seismic geological hazards in Jishishan county

    图  5   积石山县典型地震崩滑地质灾害

    Figure  5.   Typical geological hazards of earthquake collapse and sliding in Jishishan county

    图  6   积石山县域地质灾害易发性评价指标图

    Figure  6.   Evaluation index map of geological hazard susceptibility in Jishishan County

    图  7   积石山县域地质灾害易发性评价图

    Figure  7.   Assessment map of geological hazard susceptibility in Jishishan County

    图  8   积石山县域地质灾害危险性评价分区图

    Figure  8.   Zoning map for geological hazard risk assessment in Jishishan County

    图  9   积石山县域地质灾害危险性评价分区面积占比统计图

    Figure  9.   Statistical chart of the proportion of geological hazard risk assessment zoning area in Jishishan County

    表  1   易发评价指标权重统计表

    Table  1   Weight of susceptibility evaluation indicators

    权重坡高坡向坡度工程地质岩组灾点分布地震烈度
    矩阵法0.20.080.190.220.20.11
    专家打分法0.230.090.180.220.20.08
    综合0.220.080.190.220.20.09
    下载: 导出CSV

    表  2   各因子图层分类情况及其对应的信息量值统计表

    Table  2   Classification of each factor layer and its corresponding information value

    评价指标图层 评价因素子类
    坡度 分类范围(°) <5 5~15 15~25 25~35 35~45 45~55 >55
    分类值 1 2 3 4 5 6 7
    信息量 0.27 0.13 −0.533 −0.87 −0.25 −0.24 −0.68
    坡高 分类范围(°) 0~20 20~40 40~60 >60
    分类值 1 2 3 4
    信息量 0.22 −0.07 −1.14 −1.83
    坡向 分类范围(°) 0~90 90~180 180~270 270~360
    分类值 1 2 3 4
    信息量 −1.57 −0.18 0.23 1.10
    工程地质岩组 分类范围(°) 土体类 碎屑岩类 岩浆岩类 变质岩类 碳酸盐岩类 混合岩类
    分类值 1 2 3 4 5 6
    信息量 0.67 −0.27 −1.37 −2.30 −1.390 0.340
    灾点分布 分类范围(m) 0~200 200~500 500~1000 >1000
    分类值 1 2 3 4
    信息量 −10.132 −10.693 −11.180 −11.00
    地震烈度 分类范围(°) 8 7 6
    分类值 1 2 3
    信息量 1.690 1.350 1.16
    下载: 导出CSV

    表  3   积石山地质灾害易发性分区说明表

    Table  3   Explanation table for the susceptibility zoning of geological hazards in Jishi Mountain

    易发区划 面积
    (km2
    百分比
    (%)
    分区说明
    高易发区 49.54 5.45 主要分布在积石山东部黄土丘陵区的山梁地带,影响最为严重的乡镇分别为郭干乡、中咀岭乡、寨子沟乡、小关乡、徐扈家乡、刘集乡、胡林家乡
    中易发区 89.34 9.83 主要分布在积石山东部黄土丘陵区的山梁地带,影响积石山县域东部大部分乡镇,主要影响大河家镇、石塬镇、柳沟乡、关家川、安吉镇、银川镇、铺川乡、癿藏乡、居集镇、郭干乡、中咀岭乡、寨子沟乡、小关乡、徐扈家乡、刘集乡、胡林家乡
    低易发区 297.24 32.70 主要分布在积石山东部侵蚀剥蚀低山丘陵、侵蚀堆积河谷平原区,地质灾害发育较少
    非易发区 472.88 52.02 主要分布在积石山以西高、中侵蚀山地区,地质灾害不发育
    下载: 导出CSV

    表  4   积石山地质灾害危险性分区面积及占比统计表

    Table  4   Statistical table of the area and proportion of geological hazard zoning in Jishi Mountain

    分区 10年一遇降雨 20年一遇降雨 50年一遇降雨 百年一遇降雨
    面积
    (km2
    占比
    (%)
    面积
    (km2
    占比
    (%)
    面积
    (km2
    占比
    (%)
    面积
    (km2
    占比
    (%)
    极高危险区 42.57 4.68 56.73 6.24 109.45 12.04 208.56 22.94
    高危险区 84.08 9.25 98.24 10.80 159.64 17.56 183.56 20.19
    中危险区 283.44 31.18 306.89 33.76 349.53 38.45 389.31 42.83
    低危险区 498.89 54.89 447.14 49.20 290.38 31.95 127.57 14.04
    下载: 导出CSV
  • 丛凯, 马宗源, 李瑞冬. 立节北山滑坡地震稳定性及破坏过程三维有限元分析[J]. 西北地质, 2023, 56(2): 283−291.

    CONG Kai, MA Zongyuan, LI Ruidong. Three–dimensional Analysis of Seismic Stability and Failure Process of Lijie Landslide in Gansu Province, China[J]. Northwestern Geology, 2023, 56(2): 283−291.

    戴岚欣, 许强, 范宣梅, 等. 2017年8月8日四川九寨沟地震诱发地质灾害空间分布规律及易发性评价初步研究[J]. 工程地质学报, 2017, 254): 11511164.

    DAI Lanxin, XU Qiang, FAN Xuanmei, et al. A preliminary study on spatial distribution patterns of landslides triggered by Jiuzhaigou earthquake in Sichuan on August 8th, 2017 and their susceptibility assessment[J]. Journal of Engineering Geology, 2017, 254): 11511164.

    冯卫, 唐亚明, 马红娜, 等. 基于层次分析法的咸阳市多灾种自然灾害综合风险评价[J]. 西北地质, 2021, 54(2): 282−288.

    FENG Wei, TANG Yaming, MA Hongna, et al. Comprehensive Risk Assessment of Multi-hazard Natural Disasters in Xianyang City Based on AHP[J]. Northwestern Geology, 2021, 54(2): 282−288.

    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, 2712): 25852592.

    HUANG Runqiu, LI Weile. Research on development and distribution rules of geohazards induced by Wenchuan earthquake on 12th May, 2008[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 2712): 25852592.

    黄润秋. 汶川地震地质灾害后效应分析[J]. 工程地质学报, 2011, 192): 145151. doi: 10.3969/j.issn.1004-9665.2011.02.001

    HUANG Runqiu. After effect of geohazards induced by the Wenchuan earthquake[J]. Journal of Engineering Geology, 2011, 192): 145151. doi: 10.3969/j.issn.1004-9665.2011.02.001

    贾丽娜, 陈世昌. 基于AHP和GIS的舟曲地质灾害易发性评价[J]. 西北地质, 2024, 57(1): 23−33.

    JIA Lina, CHEN Shichang. Geological Hazard Susceptibility Evaluation Based on AHP and GIS in Zhouqu County, Gansu[J]. Northwestern Geology, 2024, 57(1): 23−33.

    李秀珍, 孔纪名. 芦山和汶川地震诱发次生地质灾害的规律及特征对比分析[J]. 自然灾害学报, 2014, 235): 1118.

    LI Xiuzhen, KONG Jiming. Comparative analysis of development law and characteristics of secondary geo-hazard induced by Lushan and Wenchuan earthquakes[J]. Journal of Natural Disasters, 2014, 235): 1118.

    李为乐, 许强, 李雨森, 等. 2023年积石山Ms6.2级地震同震地质灾害初步分析[J]. 成都理工大学学报(自然科学版), 2024, 51(1): 33−45+90.

    LI Weile, XU Qiang, LI Yusen, et al. Preliminary Analysis of the Coseismic Geohazards Induced by the 2023 Jishishan Ms 6.2 Earthquake[J]. Journal of Chengdu University of Technology (Science & Technology Edition), 2024, 51(1): 33−45+90.

    马红娜, 刘江, 冯卫, 等. 地质灾害风险评估在国土空间规划中的应用以陕北榆林高西沟为例[J]. 西北地质, 2023, 56(3): 223−231.

    MA Hongna, LIU Jiang, FENG Wei, et al. Application of Geological Hazard Risk Assessment in Territorial Space Planning: A Case Study of Gaoxigou Village in Yulin City of Northern Shaanxi Province[J]. Northwestern Geology, 2023, 56(3): 223−231.

    裴向军, 黄润秋. “4·20”芦山地震地质灾害特征分析[J]. 成都理工大学学报(自然科学版), 2013, 403): 257263.

    PEI Xiangjun, HUANG Runqiu. Characteristics analysis of the "April 20"Lushan earthquake geological disaster[J]. Journal of Chengdu University of Technology (Science & Technology Edition), 2013, 403): 257263.

    铁永波, 张宪政, 卢佳燕, 等. 四川省泸定县Ms6.8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, 496): 112.

    TIE Yongbo, ZHANG Xianzheng, LU Jiayan, 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, 496): 112.

    万飞鹏, 杨为民, 邱占林, 等. 甘肃岷县纳古呢沟滑坡-泥石流灾害链成灾机制及其演化[J]. 中国地质, 2023, 50(3): 911-925.

    WAN Feipeng, YANG Weimin, QIU Zhanlin, et al. Disaster mechanism and evolution of Nagune Gully landslide-debris flow disaster chain in Minxian County, Gansu Province[J]. Geology in China, 2023, 50(3): 911-925.

    王东坡, 何思明, 葛胜锦, 等. “9·07”彝良地震诱发次生山地灾害调查及减灾建议[J]. 山地学报, 2013, 311): 101107. doi: 10.3969/j.issn.1008-2786.2013.01.014

    WANG Dongpo, HE Siming, GE Shengjin, et al. Mountain Hazards Induced by the Earthquake of Sep 07, 2012 in Yiliang and the Suggestions of Disaster Reduction[J]. Mountain Research, 2013, 311): 101107. doi: 10.3969/j.issn.1008-2786.2013.01.014

    王兰民, 柴少峰, 薄景山, 等. 黄土地震滑坡的触发类型、特征与成灾机制[J]. 岩土工程学报, 2023, 458): 15431554. doi: 10.11779/CJGE20220531

    WANG Lanmin, CHAI Shaofeng, BO Jingshan, et al. Triggering types, characteristics, and disaster mechanism of seismic loess landslides[J]. Chinese Journal of Geotechnical Engineering, 2023, 458): 15431554. doi: 10.11779/CJGE20220531

    王运生, 赵波, 吉锋, 等. 2023年甘肃积石山Ms6.2级地震震害异常的启示[J]. 成都理工大学学报(自然科学版), 2024, 51(1): 1−8.

    WANG Yunsheng, ZHAO Bo, JI Feng, et al. Preliminary insights into hazards triggered by the 2023 Jishishan Ms 6.2 earthquake, Gansu Province[J]. Journal of Chengdu University of Technology (Science & Technology Edition), 2024, 51(1): 1−8.

    吴常润, 赵冬梅, 刘澄静, 等. 基于GIS和信息量模型的陇川县滑坡易发性评价[J]. 西北地质, 2020, 53(2): 308−320.

    WU Changrun, ZHAO Dongmei, LIU Chengjing, et al. Landslide Susceptibility Assessment of Longchuan County Based on GIS and Information Value Model[J]. Northwestern Geology, 2020, 53(2): 308−320.

    许强, 李为乐. 汶川地震诱发大型滑坡分布规律研究[J]. 工程地质学报, 2010, 186): 818826. doi: 10.3969/j.issn.1004-9665.2010.06.002

    XU Qiang, LI Weile. Distribution of large-scale landslides induced by the Wenchuan earthquake[J]. Journal of Engineering Geology, 2010, 186): 818826. doi: 10.3969/j.issn.1004-9665.2010.06.002

    许强, 彭大雷, 范宣梅, 等. 甘肃积石山 6.2 级地震触发青海中川乡液化型滑坡-泥流特征与成因机理[J/OL]. 武汉大学学报(信息科学版), 2024: 1−19.

    XU Qiang, PENG Dalei, FAN Xuanmei, et al.Preliminary Study on the Characteristics and Initiation Mechanism of Zhongchuan Town Flowslide Triggered by Jishishan Ms 6.2 Earthquake in Gansu Province[J/OL]. Geomatics and Information Science of Wuhan University, 2024: 1−19.

    徐敏, 裴向军, 张晓超. 强震触发石碑塬滑坡黄土动力特性[J]. 成都理工大学学报(自然科学版), 2014, 414): 492498.

    XU Min, PEI Xiangjun, ZHANG Xiaochao. Dynamic characteristics of loess from Ningxia Shibeiyuan landslide triggered by Hai yuan earthquak[J]. Journal of Chengdu University of Technology (Science & Technology Edition), 2014, 414): 492498.

    殷跃平, 张永双, 马寅生, 等. 青海玉树Ms7.1级地震地质灾害主要特征[J]. 工程地质学报, 2010, 183): 289296.

    YIN Yueping, ZHANG Yongshuang, MA Yansheng, et al. Research on major characteristic of geohazards induced by the Yushu Ms7.1 earthquake[J]. Journal of Engineering Geology, 2010, 183): 289296.

    殷志强, 徐永强, 陈红旗, 等. 2013年甘肃岷县—漳县Ms6.6级地震地质灾害展布特征及主控因素研究[J]. 第四纪研究, 2015, 351): 8899.

    YIN Zhiqiang, XU Yongqiang, CHEN Hongsheng, et al. Study on the distribution characteristics of geohazards and the causative tectonic of the Minxian-Zhangxian Ms6.6 Earthquake on 22 July, 2013, Gansu, China[J]. Quaternary Sciences, 2015, 351): 8899.

    杨博, 田文通, 孙军杰, 等. 海原大地震诱发石碑塬黄土滑坡机制探讨[J]. 地震工程学报, 2020, 425): 11651172. doi: 10.3969/j.issn.1000-0844.2020.05.1165

    YANG Bo, TIAN Wentong, SUN Junjie, et al. Mechanism of SHIbeiyuan Loess Landslide Induced by the Haiyuan Earthquake[J]. China Earthquake Engineerring Journal, 2020, 425): 11651172. doi: 10.3969/j.issn.1000-0844.2020.05.1165

    张宪政, 铁永波, 李光辉, 等. 四川泸定Ms6.8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, 286): 10351045. doi: 10.12090/j.issn.1006-6616.20222827

    ZHANG Xianzheng, TIE Yongbo, LI Guanghui, 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, 286): 10351045. doi: 10.12090/j.issn.1006-6616.20222827

    中华人民共和国应急管理部. 应急管理部发布甘肃积石山6.2级地震烈度图[OL]. 中华人民共和国应急管理部. 2023-12-22. https://www.mem.gov.cn/xw/yjglbgzdt/202312/t20231222_472849.shtml
    周洪福, 方甜, 韦玉婷. 国内外地震滑坡研究: 现状、问题与展望[J]. 沉积与特提斯地质, 2023, 433): 615628.

    ZHOU Hongfu, FANG Tian, WEI Yuting. Research situation sand suggestions on earthquake-induced landslides[J]. Sedimentary Geology and Tethyan Geology, 2023, 433): 615628.

    Dai F C, Xu C, Yao X, et al. Spatial distribution of land-slide striggered by the 2008 MS 8.0 Wenchuan earthquake, China[J]. Journal of Asian EarthSciences, 2011, 40: 883895.

    Tang C, Zhu J, Qi X, et al. Landslides induced by the Wen-chuan earthquake and the subsequent strong rainfall event: A case study in the Beichuan area of China[J]. Engineering Geology, 2011, 122: 2233. doi: 10.1016/j.enggeo.2011.03.013

  • 期刊类型引用(14)

    1. 张天宇,李林翠,刘凡,洪增林,钱法桥,胡斌,张淼. 基于优化最大熵模型的黄土滑坡易发性评价:以陕西省吴起县为例. 西北地质. 2025(02): 172-185 . 本站查看
    2. 贾丽娜,陈世昌. 基于AHP和GIS的舟曲地质灾害易发性评价. 西北地质. 2024(01): 23-33 . 本站查看
    3. 许烈,巨能攀,邓明东,解明礼,周福军,李朝纲,唐颍. 不同评价单元的滑坡易发性评价精度对比分析. 工程地质学报. 2024(05): 1640-1653 . 百度学术
    4. 马敏,王江立,陈琦,李景富. 基于随机森林赋权信息量的区域滑坡易发性评价——以三峡库区秭归至巴东段为例. 华南地质. 2024(04): 749-763 . 百度学术
    5. 黄煜,谢婉丽,刘琦琦,杨惠,朱荣森,李嘉昊,穆柯,严明,肖金存,何高锐. 基于GIS与MaxEnt模型的滑坡易发性评价——以铜川市中部城区为例. 西北地质. 2023(01): 266-275 . 本站查看
    6. 王成楠,吴琳伟,宋勇,贺婷,王彪,赵影,胡旭东. 江西省寻乌县滑坡易发性评价模型及精度对比研究. 资源环境与工程. 2023(02): 171-182 . 百度学术
    7. 王高峰,李浩,田运涛,陈宗良,徐友宁,高幼龙,叶振南,李瑞冬,谢兴隆. 甘肃省白龙江流域典型高位堆积层滑坡成因机制研究及其危险性预测. 岩石力学与工程学报. 2023(04): 1003-1018 . 百度学术
    8. 李成林,刘严松,赖思翰,王地,何星慧,刘琦,何博宇. 基于BP神经网络模型的滑坡易发性评价方法. 科学技术与工程. 2023(13): 5481-5492 . 百度学术
    9. 苗长伟. 地铁变形监测小波去噪与灰色-时序模型研究. 地理空间信息. 2023(10): 76-79 . 百度学术
    10. 孟晓捷,张新社,曾庆铭,王冬. 基于加权信息量法的黄土滑坡易发性评价——以1∶5万天水市麦积幅为例. 西北地质. 2022(02): 249-259 . 本站查看
    11. 郭郑曦,康必均,齐实,伍冰晨,王鑫皓. 考虑植被因素的林地浅表层滑坡易发性评价——以川东华蓥市山地为例. 灾害学. 2022(02): 182-189 . 百度学术
    12. 李俊,王克峰,韦开行,李业,吉辉,唐甜. 渝西典型丘陵区地质灾害易发性评价. 河南科学. 2022(07): 1125-1133 . 百度学术
    13. 马啸,王念秦,李晓抗,严冬,李嘉琳. 基于RF-FR模型的滑坡易发性评价——以略阳县为例. 西北地质. 2022(03): 335-344 . 本站查看
    14. 白光顺,杨雪梅,朱杰勇,张世涛,祝传兵,康晓波,孙滨,周琰嵩. 基于证据权法的昆明五华区地质灾害易发性评价. 中国地质灾害与防治学报. 2022(05): 128-138 . 百度学术

    其他类型引用(12)

图(9)  /  表(4)
计量
  • 文章访问数:  208
  • HTML全文浏览量:  32
  • PDF下载量:  70
  • 被引次数: 26
出版历程
  • 收稿日期:  2024-01-15
  • 修回日期:  2024-01-23
  • 录用日期:  2024-01-24
  • 网络出版日期:  2024-01-28
  • 刊出日期:  2024-04-19

目录

    /

    返回文章
    返回