ISSN 1003-8035 CN 11-2852/P
  • Included in Scopus
  • Included in DOAJ
  • The key magazine of China technology
  • Included in CSCD
  • Caj-cd Standard Award winning journals
Wechat
Volume 34 Issue 5
Oct.  2023
Turn off MathJax
Article Contents
Abstract
References
Related Articles
YANG Qingqing，YU Qiubing，ZHANG Tingbin，et al. Landslide hazard assessment in the middle reach area of the Dadu River based on the GDIV model[J]. The Chinese Journal of Geological Hazard and Control，2023，34(5): 130-140. DOI: 10.16031/j.cnki.issn.1003-8035.202208014
Citation: YANG Qingqing，YU Qiubing，ZHANG Tingbin，et al. Landslide hazard assessment in the middle reach area of the Dadu River based on the GDIV model[J]. The Chinese Journal of Geological Hazard and Control，2023，34(5): 130-140. DOI: 10.16031/j.cnki.issn.1003-8035.202208014
shu

Landslide hazard assessment in the middle reach area of the Dadu River based on the GDIV model

  • 1.

    College of Earth Science, Chengdu University of Technology, Chengdu, Sichuan　610059, China

  • 2.

    606 Bringade of Sichuan Bureau of Metallurgical Geology Exploration, Chengdu, Sichuan　611730, China

  • 3.

    College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, Sichuan　610059, China

More Information
  • Received Date: August 07, 2022
  • Revised Date: January 13, 2023
  • Available Online: July 11, 2023
    Graphical Abstract
    • Abstract
  • Regional geological hazard assessment is an important non-engineering approach for disaster reduction and prevention. Constructing a regional landslide hazard assessment model is of great significance in improving the accuracy of geological hazard evaluation and the efficiency of prevention. This study focuses on the frequent landslide occurrence in the middle reach area of the Dadu River and selects 13 primary factors, including elevation, slope, aspect, seismic parameters, soil type, engineering geological lithology, annual average rainfall, and topographic wetness index (TWI), to establish a primary evaluation index system for landslide hazard. Considering the varying contributions of each factor to landslide formation and the impact of the commonly used weighted raster superposition methods on assessment accuracy, the geographic detector and variable weight raster overlay techniques are introduced, leading to the development of the GDIV model. Using data from 313 landslide hazard points identified in the 2021 geological hazard risk survey at a scale of 1∶50,000 in Sichuan Province, the landslide hazard assessment in the middle reach area of the Dadu River basin is conducted based on the GDIV model, and the evaluation results are compared with those of the LRI model. The results show that the study area is predominantly characterized by middle and lower risk areas, accounting for 78.3% of the total area. The extremely high and high-risk areas are primarily located in the low-elevation regions along the banks of Dadu River, Geshizha River, and Donggu River. Compared to the LRI model, the evaluation results based on the GDIV model exhibit higher accuracy, with an area under the receiver operating characteristics (ROC) curve of 0.917. The GDIV model proposed in this paper improves the accuracy of regional Landslide hazards assessment, and serves as a valuable reference for similar geological disaster evaluations in other areas.
    • FullText(HTML)
    • References (33)
  • [1]
    赵东亮,兰措卓玛,侯光良,等. 青海省河湟谷地地质灾害易发性评价[J]. 地质力学学报,2021,27(1):83 − 95. [ZHAO Dongliang,LAN C,HOU Guangliang,et al. Assessment of geological disaster susceptibility in the Hehuang Valley of Qinghai Province[J]. Journal of Geomechanics,2021,27(1):83 − 95. (in Chinese with English abstract)

    ZHAO Dongliang, LAN C, HOU Guangliang, et al. Assessment of geological disaster susceptibility in the Hehuang Valley of Qinghai Province[J]. Journal of Geomechanics, 2021, 27（1）: 83-95. （in Chinese with English abstract）
    [2]
    CENGIZ L D,ERCANOGLU M. A novel data-driven approach to pairwise comparisons in AHP using fuzzy relations and matrices for landslide susceptibility assessments[J]. Environmental Earth Sciences,2022,81(7):1 − 23.
    [3]
    WANG Di,HAO Mengmeng,CHEN Shuai,et al. Assessment of landslide susceptibility and risk factors in China[J]. Natural Hazards,2021,108(3):3045 − 3059. DOI: 10.1007/s11069-021-04812-8
    [4]
    TAN Qulin,BAI Minzhou,ZHOU Pinggen,et al. Geological hazard risk assessment of line landslide based on remotely sensed data and GIS[J]. Measurement,2021,169:108370. DOI: 10.1016/j.measurement.2020.108370
    [5]
    BIÇER Ç T,ERCANOGLU M. A semi-quantitative landslide risk assessment of central Kahramanmaraş City in the Eastern Mediterranean region of Turkey[J]. Arabian Journal of Geosciences,2020,13(15):732. DOI: 10.1007/s12517-020-05697-w
    [6]
    SCIARRA M,COCO L,URBANO T. Assessment and validation of GIS-based landslide susceptibility maps:A case study from Feltrino stream basin (Central Italy)[J]. Bulletin of Engineering Geology and the Environment,2017,76(2):437 − 456. DOI: 10.1007/s10064-016-0954-7
    [7]
    罗守敬,王珊珊,付德荃. 北京山区突发性地质灾害易发性评价[J]. 中国地质灾害与防治学报,2021,32(4):126 − 133. [LUO Shoujing,WANG Shanshan,FU Dequan. Assessment on the susceptibility of sudden geological hazards in mountainous areas of Beijing[J]. The Chinese Journal of Geological Hazard and Control,2021,32(4):126 − 133. (in Chinese with English abstract)

    LUO Shoujing, WANG Shanshan, FU Dequan. Assessment on the susceptibility of sudden geological hazards in mountainous areas of Beijing[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32（4）: 126-133. （in Chinese with English abstract）
    [8]
    ZHAO Fumeng,MENG Xingmin,ZHANG Yi,et al. Landslide susceptibility mapping of Karakorum highway combined with the application of SBAS-InSAR technology[J]. Sensors,2019,19(12):2685. DOI: 10.3390/s19122685
    [9]
    王世宝,庄建琦,樊宏宇,等. 基于频率比与集成学习的滑坡易发性评价—以金沙江上游巴塘—德格河段为例[J]. 工程地质学报,2022,30(3):817 − 828. [WANG Shibao,ZHUANG Jianqi,FAN Hongyu,et al. Evaluation of landslide susceptibility based on frequency ratio and ensemble learning:Taking the Batang-Dege section in the upstream of Jinsha River as an example[J]. Journal of Engineering Geology,2022,30(3):817 − 828. (in Chinese with English abstract)

    WANG Shibao, ZHUANG Jianqi, FAN Hongyu, et al. Evaluation of landslide susceptibility based on frequency ratio and ensemble learning—taking the Batang-Dege section in the upstream of Jinsha River as an example[J]. Journal of Engineering Geology, 2022, 30（3）: 817-828. （in Chinese with English abstract）
    [10]
    屠水云,张钟远,付弘流,等. 基于CF与CF-LR模型的地质灾害易发性评价[J]. 中国地质灾害与防治学报,2022,33(2):96 − 104. [TU Shuiyun,ZHANG Zhongyuan,FU Hongliu,et al. Geological hazard susceptibility evaluation based on CF and CF-LR model[J]. The Chinese Journal of Geological Hazard and Control,2022,33(2):96 − 104. (in Chinese with English abstract)

    TU Shuiyun, ZHANG Zhongyuan, FU Hongliu, et al. Geological hazard susceptibility evaluation based on CF and CF-LR model[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33（2）: 96-104. （in Chinese with English abstract）
    [11]
    JIAO Yuanmei,ZHAO Dongmei,DING Yinping,et al. Performance evaluation for four GIS-based models purposed to predict and map landslide susceptibility:A case study at a World Heritage site in Southwest China[J]. CATENA,2019,183:104221. DOI: 10.1016/j.catena.2019.104221
    [12]
    罗路广,裴向军,谷虎,等. 基于GIS的 “8·8” 九寨沟地震景区地质灾害风险评价[J]. 自然灾害学报,2020,29(3):193 − 202. [LUO Luguang,PEI Xiangjun,GU Hu,et al. Risk assessment of geohazards induced by “8·8” earthquake based on GIS in Jiuzhaigou scenic area[J]. Journal of Natural Disasters,2020,29(3):193 − 202. (in Chinese with English abstract)

    LUO Luguang, PEI Xiangjun, GU Hu, et al. Risk assessment of geohazards induced by “8.8” earthquake based on GIS in Jiuzhaigou scenic area[J]. Journal of Natural Disasters, 2020, 29（3）193-202（in Chinese with English abstract）
    [13]
    付树林,梁丽萍,刘延国. 基于CF-Logistic模型的雅砻江新龙段地质灾害易发性评价[J]. 水土保持研究,2021,28(4):404 − 410. [FU Shulin,LIANG Liping,LIU Yanguo. Assessment on geohazard susceptibility in Xinlong section of Yalong River based on CF-logistic model[J]. Research of Soil and Water Conservation,2021,28(4):404 − 410. (in Chinese with English abstract)

    FU Shulin, LIANG Liping, LIU Yanguo. Assessment on geohazard susceptibility in Xinlong section of yalong river based on CF-logistic model[J]. Research of Soil and Water Conservation, 2021, 28（4）404-410（in Chinese with English abstract）
    [14]
    DUMAN T Y,CAN T,GOKCEOGLU C,et al. Application of logistic regression for landslide susceptibility zoning of Cekmece Area,Istanbul,Turkey[J]. Environmental Geology,2006,51(2):241 − 256. DOI: 10.1007/s00254-006-0322-1
    [15]
    胡涛,樊鑫,王硕,等. 基于逻辑回归模型和3S技术的思南县滑坡易发性评价[J]. 地质科技通报,2020(2):113 − 121. [HU Tao,FAN Xin,WANG Shuo,et al. Landslide susceptibility evaluation of Sinan County using logistics regression model and 3S technology[J]. Geological Science and Technology Information,2020(2):113 − 121. (in Chinese with English abstract)

    HU Tao, FAN Xin, WANG Shuo, et al. Landslide susceptibility evaluation of Sinan County using logistics regression model and 3S technology[J]. Geological Science and Technology Information, 2020（2）: 113-121. （in Chinese with English abstract）
    [16]
    田春山,刘希林,汪佳. 基于CF和Logistic回归模型的广东省地质灾害易发性评价[J]. 水文地质工程地质,2016,43(6):154 − 161. [TIAN Chunshan,LIU Xilin,WANG Jia. Geohazard susceptibility assessment based on CF model and Logistic Regression models in Guangdong[J]. Hydrogeology & Engineering Geology,2016,43(6):154 − 161. (in Chinese with English abstract)

    TIAN Chunshan, LIU Xilin, WANG Jia. Geohazard susceptibility assessment based on CF model and Logistic Regression models in Guangdong[J]. Hydrogeology and Engineering Geology, 2016, 43（6）154-161（in Chinese with English abstract）
    [17]
    饶品增,曹冉,蒋卫国. 基于地理加权回归模型的云南省地质灾害易发性评价[J]. 自然灾害学报,2017,26(2):134 − 143. [RAO Pinzeng,CAO Ran,JIANG Weiguo. Susceptibility evaluation of geological disasters in Yunnan Province based on geographically weighted regression model[J]. Journal of Natural Disasters,2017,26(2):134 − 143. (in Chinese with English abstract)

    Rao Pinzeng, Cao Ran, Jiang Weiguo. Susceptibility evaluation of geological disasters in Yunnan Province based on geographically weighted regression model[J]. Journal of Natural Disasters, 2017, 26（2）: 134-143. （in Chinese with English abstract）
    [18]
    王丽丽,苏程,冯存均,等. 数据驱动自适应更新的斜坡地质灾害易发性评价系统[J]. 岩石力学与工程学报,2016,35(S1):3076 − 3083. [WANG Lili,SU Cheng,FENG Cunjun,et al. A data driven self-adaptive update landslide susceptibility assessment system[J]. Chinese Journal of Rock Mechanics and Engineering,2016,35(S1):3076 − 3083. (in Chinese with English abstract)

    WANG Lili, SU Cheng, FENG Cunjun, et al. A data driven self-adaptive update landslide susceptibility assessment system[J]. Chinese Journal of Rock Mechanics and Engineering, 2016, 35（S1）: 3076-3083. （in Chinese with English abstract）
    [19]
    黄发明,殷坤龙,蒋水华,等. 基于聚类分析和支持向量机的滑坡易发性评价[J]. 岩石力学与工程学报,2018,37(1):12 − 167. [HUANG Faming,YIN Kunlong,JIANG Shuihua,et al. Landslide susceptibility assessment based on clustering analysis and support vector machine[J]. Chinese Journal of Rock Mechanics and Engineering,2018,37(1):12 − 167. (in Chinese with English abstract)

    Huang Faming, Yin Kunlong, Jiang Shuihua, et al. Landslide susceptibility assessment based on clustering analysis and support vector machine[J]. Chinese Journal of Rock Mechanics and Engineering, 2018, 37（1）: 12. （in Chinese with English abstract）
    [20]
    吴润泽,胡旭东,梅红波,等. 基于随机森林的滑坡空间易发性评价—以三峡库区湖北段为例[J]. 地球科学,2021(1):321 − 330. [WU Runze,HU Xudong,MEI Hongbo,et al. Spatial susceptibility assessment of landslides based on random forest:A case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science,2021(1):321 − 330. (in Chinese with English abstract)

    WU Runze, HU Xudong, MEI Hongbo, et al. Spatial susceptibility assessment of landslides based on random forest: a case study from Hubei section in the Three Gorges Reservoir area[J]. Earth Science, 2021（1）: 321-330. （in Chinese with English abstract）
    [21]
    丁茜,赵晓东,吴鑫俊,等. 基于RBF核的多分类SVM滑塌易发性评价模型[J]. 中国安全科学学报,2022,32(3):194 − 200. [DING Xi,ZHAO Xiaodong,WU Xinjun,et al. Landslide susceptibility assessment model based on multi-class SVM with RBF kernel[J]. China Safety Science Journal,2022,32(3):194 − 200. (in Chinese with English abstract)

    DING Xi, ZHAO Xiaodong, WU Xinjun, et al. Landslide susceptibility assessment model based on multi-class SVM with RBF kernel[J]. China Safety Science Journal, 2022, 32（3）: 194-200. （in Chinese with English abstract）
    [22]
    唐川,马国超. 基于地貌单元的小区域地质灾害易发性分区方法研究[J]. 地理科学,2015(1):91 − 98. [TANG Chuan,MA Guochao. Small regional geohazards susceptibility mapping based on geomorphic unit[J]. Scientia Geographica Sinica,2015(1):91 − 98. (in Chinese with English abstract)

    Tang Chuan, Ma Guochao. Small regional geohazards susceptibility mapping based on geomorphic unit[J]. Scientia Geographica Sinica, 2015（1）: 91-98. （in Chinese with English abstract）
    [23]
    WANG Fei,XU Peihua,WANG Changming,et al. Application of a GIS-based slope unit method for landslide susceptibility mapping along the Longzi River,southeastern Tibetan Plateau,China[J]. ISPRS International Journal of Geo-Information,2017,6(6):172. DOI: 10.3390/ijgi6060172
    [24]
    陈前,晏鄂川,黄少平,等. 基于样本与因子优化的黄冈南部地区地质灾害易发性评价[J]. 地质科技通报,2020(2):175 − 185. [CHEN Qian,YAN Echuan,HUANG Shaoping,et al. Susceptibility evaluation of geological disasters in southern Huanggang based on samples and factor optimization[J]. Geological Science and Technology Information,2020(2):175 − 185. (in Chinese with English abstract)

    CHEN Qian, YAN Echuan, HUANG Shaoping, et al. Susceptibility evaluation of geological disasters in southern Huanggang based on samples and factor optimization[J]. Geological Science and Technology Information, 2020（2）: 175-185. （in Chinese with English abstract）
    [25]
    陈绪钰,倪化勇,李明辉,等. 基于加权信息量和迭代自组织聚类的地质灾害易发性评价[J]. 灾害学,2021,36(2):71 − 78. [CHEN Xuyu,NI Huayong,LI Minghui,et al. Geo-hazard susceptibility evaluation based on weighted information value model and ISODATA cluster[J]. Journal of Catastrophology,2021,36(2):71 − 78. (in Chinese with English abstract)

    CHEN Xuyu, NI Huayong, LI Minghui, et al. Geo-hazard susceptibility evaluation based on weighted information value model and ISODATA cluster[J]. Journal of Catastrophology, 2021, 36（2）: 71-78. （in Chinese with English abstract）
    [26]
    牛强,揭巧,李县. 变权栅格叠加方法研究—以生态敏感性评价为例[J]. 地理信息世界,2017,24(5):27 − 34. [NIU Qiang, JIE Qiao,LI Xian. Research on variable weight raster overlay-taking ecological sensitivity evaluation as an example[J]. Geomatics World,2017,24(5):27 − 34. (in Chinese with English abstract)

    QIANG niu, QIAO Jie, XIAN Li. Research on variable weight raster overlay-taking ecological sensitivity evaluation as an example[J]. Geomatics World, 2017, 24（5）: 27-34. （in Chinese with English abstract）
    [27]
    韩用顺,孙湘艳,刘通,等. 基于证据权-投影寻踪模型的藏东南地质灾害易发性评价[J]. 山地学报,2021,39(5):672 − 686. [HAN Yongshun,SUN Xiangyan,LIU Tong,et al. Susceptibility evaluation of geological hazards based on evidence weight-projection pursuit model in southeast Tibet,China[J]. Mountain Research,2021,39(5):672 − 686. (in Chinese with English abstract)

    HAN Yongshun, SUN Xiangyan, LIU Tong, et al. Susceptibility evaluation of geological hazards based on evidence weight-projection pursuit model in southeast Tibet, China[J]. Mountain Research, 2021, 39（5）: 672-686. （in Chinese with English abstract）
    [28]
    支泽民, 刘峰贵, 周强, 等. 基于流域单元的地质灾害易发性评价—以西藏昌都市为例[J]. 中国地质灾害与防治学报,2023,34(1):139 − 150. [ZHI Zemin, LIU Fenggui, ZHOU Qiang, et al. Evaluation of geological hazards susceptibility based on watershed units:A case study of the Changdu City, Tibet[J]. The Chinese Journal of Geological Hazard and Control,2023,34(1):139 − 150. (in Chinese with English abstract)

    ZHI Zemin, LIU Fenggui, ZHOU Qiang, et al. Evaluation of geological hazards susceptibility based on watershed units: a case study of the Changdu City, Tibet[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(1): 139-150.(in Chinese with English abstract)
    [29]
    YANG Yanguo,YU Jiaqi,FU Yubin,et al. Research on geological hazard risk assessment based on the cloud fuzzy clustering algorithm[J]. Journal of Intelligent & Fuzzy Systems,2019,37(4):4763 − 4770.
    [30]
    孙滨, 祝传兵, 康晓波, 等. 基于信息量模型的云南东川泥石流易发性评价[J]. 中国地质灾害与防治学报,2022,33(5):119 − 127. [SUN Bin, ZHU Chuanbing, KANG Xiaobo, et al. Susceptibility assessment of debris flows based on information model in Dongchuan, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control,2022,33(5):119 − 127. (in Chinese with English abstract)

    SUN Bin, ZHU Chuanbing, KANG Xiaobo, et al. Susceptibility assessment of debris flows based on information model in Dongchuan, Yunnan Province[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(5)119-127(in Chinese with English abstract)
    [31]
    王劲峰,徐成东. 地理探测器:原理与展望[J]. 地理学报,2017,72(1):116 − 134. [WANG Jinfeng,XU Chengdong. Geodetector:Principle and prospective[J]. Acta Geographica Sinica,2017,72(1):116 − 134. (in Chinese with English abstract)

    WANG Jinfeng, XU Chengdong. Geodetector: principle and prospective[J]. Acta Geographica Sinica, 2017, 72（1）116-134（in Chinese with English abstract）
    [32]
    LUO Wei,LIU C C. Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods[J]. Landslides,2018,15(3):465 − 474. DOI: 10.1007/s10346-017-0893-9
    [33]
    韩继冲,张朝,曹娟. 基于逻辑回归的地震滑坡易发性评价—以汶川地震、鲁甸地震为例[J]. 灾害学,2021,36(2):193 − 199. [HAN Jichong,ZHANG Hao,CAO Juan. Assessing earthquake-induced landslide susceptibility based on logistic regression in 2008 Wenchuan earthquake and 2014 Ludian earthquake[J]. Journal of Catastrophology,2021,36(2):193 − 199. (in Chinese with English abstract)

    HAN Jichong, ZHANG Hao, CAO Juan. Assessing earthquake-induced landslide susceptibility based on logistic regression in 2008 Wenchuan earthquake and 2014 Ludian earthquake[J]. Journal of Catastrophology, 2021, 36（2）: 193-199. （in Chinese with English abstract）
    • Related Articles

  • Related Articles

    [1]Weimin YIN, Yuanyao LI, Xing LI, Ming LI, Le JU, Ou XIE. Landslide hazard assessment considering spatial calibration zoning of physical and mechanical parameters of rock and soil mass[J]. The Chinese Journal of Geological Hazard and Control. DOI: 10.16031/j.cnki.issn.1003-8035.202311006
    [2]Pingping ZHANG, Shu HE, Bin LI. Comparative study of multi-coupling models for geohazard risk assessment along mountain highway in the hilly areas of Jiangxi Province[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(4): 135-145. DOI: 10.16031/j.cnki.issn.1003-8035.202309011
    [3]Xinggui WU, Yudong WANG, Lanting WANG, Ziyi DING. Hazard assessment of landslides in Lancang County, Yunnan Province based on weighted information value model[J]. The Chinese Journal of Geological Hazard and Control, 2024, 35(3): 119-128. DOI: 10.16031/j.cnki.issn.1003-8035.202210013
    [4]Bin LI, Jinxi ZHOU, Keqiao WU, Jianquan MA, Hanwen QI. Assessment of landslide susceptibility in the Huangshui River Basin based on catastrophe theory[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(6): 116-126. DOI: 10.16031/j.cnki.issn.1003-8035.202212009
    [5]Boju ZHAO, Ning LI, Fucheng XING, Han XIANG. Landslide geological hazard assessment based on the I-CF model of Dege County in Sichuan Province[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(5): 32-42. DOI: 10.16031/j.cnki.issn.1003-8035.202302030
    [6]Rui ZHANG, Rongchang GUO, Pan HE, Lingyan YU. Landslide hazard assessment based on improved catastrophe theory[J]. The Chinese Journal of Geological Hazard and Control, 2023, 34(1): 121-128. DOI: 10.16031/j.cnki.issn.1003-8035.202112034
    [7]Qiang YANG, Gaofeng WANG, Jinzhu LI, Rongjian LI, Youlong GAO, Weicui DING. Formation conditions and the disaster modes of debris flows along middle and upper reaches of the Bailongjiang River Basin[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(6): 70-79. DOI: 10.16031/j.cnki.issn.1003-8035.202107021
    [8]Ziliang WANG, Ming CHANG, Peiyuan LIU, Lu XU. Hazard assessment of typical gully debris flow in Anning river：A case study at the Lengzi gully[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(3): 31-38. DOI: 10.16031/j.cnki.issn.1003-8035.2022.03-04
    [9]Xiaolong PEI, Hanwen YANG, Dongyang SONG, Bin YANG, Ye TIAN. Characteristics and stability analysis of Xiari landslide at Lenggu hydropower station in the middle reach of the Yalong river[J]. The Chinese Journal of Geological Hazard and Control, 2022, 33(1): 75-82. DOI: 10.16031/j.cnki.issn.1003-8035.2022.01-09
    [10]Peng CAO, Shengshan HOU, Liang CHEN, Zhen FENG, Lichao WANG, Ang LI, Junyou LIU. Risk assessment of mass debris flow based on numerical simulation: An example from the Malu River basin in Min County[J]. The Chinese Journal of Geological Hazard and Control, 2021, 32(2): 100-109. DOI: 10.16031/j.cnki.issn.1003-8035.2021.02.14

  • Cited by

    Periodical cited type(5)

    1. 魏平新，郑志文，周志华，李秀娟，廖忠浈，刘任鸿. 广东省暴雨型浅层滑坡灾害动力预警模型与气象风险预警研究. 中国地质灾害与防治学报. 2024(02): 30-39 . 本站查看
    2. 林诗哲，胡新丽，张海燕，李宁杰，刘欣宇. 白鹤滩水电站库区红层砂岩干湿循环下结构劣化及渗透性演化规律. 中国地质灾害与防治学报. 2024(05): 67-77 . 本站查看
    3. 陆烨，黄越川. 基于DIC分析的含石量对碎石土边坡稳定性影响. 中国地质灾害与防治学报. 2023(04): 49-57 . 本站查看
    4. 柴少波，宋浪，周炜，付晓东，周永强. 水岩作用对充填节理岩石劣化的影响. 吉林大学学报(地球科学版). 2023(05): 1510-1520 .
    5. 王康，畅俊斌，李晓科，朱文峰，卢啸，刘慧. 基于水文过程和应力应变耦合的陕北黄土滑坡复活机理分析——以延安二庄科滑坡为例. 中国地质灾害与防治学报. 2023(06): 47-56 . 本站查看

    Other cited types(2)

Catalog

    Get Citation
    PDF
    XML
    Article views (898) PDF downloads (120) Cited by(7)

    Email alert

    RSS

    • Address: 20 Dahui temple, Haidian District, Beijing
    • Distribution contact：010-60850957
    • Advertising contact：010-60850956
    • Notice of advertisement release registration：京海工商广登字20170026号
    • Copyright：Editorial Office of The Chinese Journal of Geological Hazard and Control 京ICP备12022220号-1  百度统计

    Links：

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return