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Volume 34 Issue 2
Apr 2023
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Article Contents
Jintao Yang, Chong Xu, Xu Jin. Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas. Journal of Earth Science, 2023, 34(2): 330-338. doi: 10.1007/s12583-021-1465-4
Citation: Jintao Yang, Chong Xu, Xu Jin. Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas. Journal of Earth Science, 2023, 34(2): 330-338. doi: 10.1007/s12583-021-1465-4

Joint Effects and Spatiotemporal Characteristics of the Driving Factors of Landslides in Earthquake Areas

doi: 10.1007/s12583-021-1465-4
Funds:

the National Natural Science Foundation of China 42071375

the National Key Research and Development Program of China 2018YFC1504703-3

More Information
  • Corresponding author: Chong Xu, chongxu@ninhm.ac.cn
  • Received Date: 01 Sep 2021
  • Accepted Date: 02 Nov 2022
  • Issue Publish Date: 30 Apr 2023
  • Understanding the joint effects of earthquakes and driving factors on the spatial distribution of landslides is helpful for targeted disaster prevention and mitigation in earthquake-prone areas. By far, little work has been done on this issue. This study analyzed the co-seismic landslide of the Ms 8.0 Wenchuan earthquake in 2008 and 2014. The joint effects and spatiotemporal characteristics of the driving factors in seismic regions were revealed. Results show that (a) between 2008 and 2014, the dominant driving-factor for landslides has changed from earthquake to rock mass; (b) driving factors with weak driving force have a significant enhancement under the joint effects of other factors; (c) the joint effects of driving factors and earthquake decays with time. The study concluded that the strong vibration of the Wenchuan earthquake and the rock mass strength are the biggest contributors to the spatial distribution of landslides in 2008 and 2014, respectively. It means that the driving force of the earthquake is weaker than that of the rock mass after six years of the Wenchuan earthquake. Moreover, the landslide spatial distribution can be attributed to the joint effects of the Wenchuan earthquake and driving factors, and the earthquake has an enhanced effect on other factors.

     

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  • Achour, Y., Boumezbeur, A., Hadji, R., et al., 2017. Landslide Susceptibility Mapping Using Analytic Hierarchy Process and Information Value Methods along a Highway Road Section in Constantine, Algeria. Arabian Journal of Geosciences, 10(8): 1–16. https://doi.org/10.1007/s12517-017-2980-6
    Anis, Z., Wissem, G., Riheb, H., et al., 2019. Effects of Clay Properties in the Landslides Genesis in Flysch Massif: Case Study of Aïn Draham, North Western Tunisia. Journal of African Earth Sciences, 151: 146–152. https://doi.org/10.1016/j.jafrearsci.2018.12.005
    CEA (China Earthquake Administration), 2008. The Chinese Seismic Intensity Scale. GB/T 17742-2008, Beijng
    Cao, P., Li, Y. S., Li, Z. L., et al., 2021. Geological Structure Characteristics and Genetic Mechanism of Baige Landslide Slope in Changdu, Tibet. Earth Science, 46(9): 3397–3409 (in Chinese with English Abstract)
    Che, V. B., Kervyn, M., Ernst, G. G. J., et al., 2011. Systematic Documentation of Landslide Events in Limbe Area (Mt Cameroon Volcano, SW Cameroon): Geometry, Controlling, and Triggering Factors. Natural Hazards, 59(1): 47–74. https://doi.org/10.1007/s11069-011-9738-3
    Chen, Y. J., Yu, B., Zhu, Y., et al., 2013. Variation Characteristics of Debris Flow Critical Rainfall after an Earthquake-Taking Xiaogangjiangou in Wenchuan Earthquake Area as an Example. Journal of Mountain Science, 31(3): 102–107 (in Chinese with English Abstract)
    Cui, P., Wei, F. Q., He, S. M., et al., 2008. Mountain Disasters Induced by the Earthquake of May 12 in Wenchuan and the Disasters Mitigation. Journal of Mountain Science, 26(3): 280–282 (in Chinese with English Abstract)
    Dai, F. C., Lee, C. F., Ngai, Y. Y., 2002. Landslide Risk Assessment and Management: An Overview. Engineering Geology, 64(1): 65–87. https://doi.org/10.1016/s0013-7952(01)00093-x
    Fan, X. M., Scaringi, G., Korup, O., et al., 2019. Earthquake-Induced Chains of Geologic Hazards: Patterns, Mechanisms, and Impacts. Reviews of Geophysics, 57(2): 421–503. https://doi.org/10.1029/2018r g000626 doi: 10.1029/2018rg000626
    Fan, X. Y., Zhang, Y. Y., Yang, J. R., 2012. Developmental Characteristics and Influence Factors of Landslides in Wenchuan Earthquake. Journal of Natural Disasters, 21(1): 128–134 (in Chinese with English Abstract)
    Furuichi, T., Osanai, N., Hayashi, S. I., et al., 2018. Disastrous Sediment Discharge Due to Typhoon-Induced Heavy Rainfall over Fossil Periglacial Catchments in Western Tokachi, Hokkaido, Northern Japan. Landslides, 15(8): 1645–1655. https://doi.org/10.1007/s10346-018-1005-1
    Hadji, R., Boumazbeur, A. E., Limani, Y., et al., 2013. Geologic, Topographic and Climatic Controls in Landslide Hazard Assessment Using GIS Modeling: A Case Study of Souk Ahras Region, NE Algeria. Quaternary International, 302: 224–237. https://doi.org/10.1016/j.quaint.2012.11.027
    Hadji, R., Rais, K., Gadri, L., et al., 2017. Slope Failure Characteristics and Slope Movement Susceptibility Assessment Using GIS in a Medium Scale: A Case Study from Ouled Driss and Machroha Municipalities, Northeast Algeria. Arabian Journal for Science and Engineering, 42(1): 281–300. https://doi.org/10.1007/s13369-016-2046-1
    He, X. L., Xu, C., Qi, W. W., et al., 2021. Landslides Triggered by the 2020 Qiaojia Mw 5.1 Earthquake, Yunnan, China: Distribution, Influence Factors and Tectonic Significance. Journal of Earth Science, 32(5): 1056–1068. https://doi.org/10.1007/s12583-021-1492-1
    Huang, F. M., Chen, J. W., Fan, X. M., et al., 2022. Logistic Regression Fitting of Rainfall-Induced Landslide Occurrence Probability and Continuous Landslide Hazard Prediction Modelling. Earth Science, 47(12): 4609–4628 (in Chinese with English Abstract)
    Huang, R. Q., 2007. Large-Scale Landslides and Their Sliding Mechanisms in China since the 20th Century. Chinese Journal of Rock Mechanics and Engineering, 26(3): 433–454
    Huang, Y. D., Xu, C., Zhang, X. L., et al., 2021. An Updated Database and Spatial Distribution of Landslides Triggered by the Milin, Tibet Mw 6.4 Earthquake of 18 November 2017. Journal of Earth Science, 32(5): 1069–1078. https://doi.org/10.1007/s12583-021-1433-z
    Karim, Z., Hadji, R., Hamed, Y., 2019. GIS-Based Approaches for the Landslide Susceptibility Prediction in Setif Region (NE Algeria). Geotechnical and Geological Engineering, 37(1): 359–374. https://doi.org/10.1007/s10706-018-0615-7
    Lee, S., Baek, W. -K., Jung, H. -S., et al., 2020. Susceptibility Mapping on Urban Landslides Using Deep Learning Approaches in Mt. Umyeon. Applied Sciences, 10(22): 8189. https://doi.org/10.3390/app10228189
    Li, Q. Q., Huang, D., Pei, S. F., et al., 2021. Using Physical Model Experiments for Hazards Assessment of Rainfall-Induced Debris Landslides. Journal of Earth Science, 32(5): 1113–1128. https://doi.org/10.1007/s12583-020-1398-3
    Lin, C. W., Liu, S. H., Lee, S. Y., et al., 2006. Impacts of the Chi-Chi Earthquake on Subsequent Rainfall-Induced Landslides in Central Taiwan. Engineering Geology, 86(2/3): 87–101. https://doi.org/10.1016/j.enggeo.2006.02.010
    Lin, C. W., Shieh, C. L., Yuan, B. D., et al., 2004. Impact of Chi-Chi Earthquake on the Occurrence of Landslides and Debris Flows: Example from the Chenyulan River Watershed, Nantou, Taiwan. Engineering Geology, 71(1/2): 49–61. https://doi.org/10.1016/s0013-7952(03)00125-x
    Mahdadi, F., Boumezbeur, A., Hadji, R., et al., 2018. GIS-Based Landslide Susceptibility Assessment Using Statistical Models: A Case Study from Souk Ahras Province, N-E Algeria. Arabian Journal of Geosciences, 11(17): 476. https://doi.org/10.1007/s12517-018-3770-5
    Manchar, N., Benabbas, C., Hadji, R., et al., 2018. Landslide Susceptibility Assessment in Constantine Region (NE Algeria) by Means of Statistical Models. Studia Geotechnica et Mechanica, 40(3): 208–219. https://doi.org/10.2478/sgem-2018-0024
    Marano, K. D., Wald, D. J., Allen, T. I., 2010. Global Earthquake Casualties Due to Secondary Effects: A Quantitative Analysis for Improving Rapid Loss Analyses. Natural Hazards, 52(2): 319–328. https://doi.org/10.1007/s11069-009-9372-5
    Mendes, R. M., de Andrade, M. R. M., Tomasella, J., et al., 2018. Understanding Shallow Landslides in Campos do Jordao Municipality-Brazil: Disentangling the Anthropic Effects from Natural Causes in the Disaster of 2000. Natural Hazards and Earth System Sciences, 18(1): 15–30. https://doi.org/10.5194/nhess-18-15-2018
    Pantelidis, L., 2011. A Critical Review of Highway Slope Instability Risk Assessment Systems. Bulletin of Engineering Geology and the Environment, 70(3): 395–400. https://doi.org/10.1007/s10064-010-032 8-5 doi: 10.1007/s10064-010-0328-5
    Persichillo, M. G., Bordoni, M., Cavalli, M., et al., 2018. The Role of Human Activities on Sediment Connectivity of Shallow Landslides. Catena, 160: 261–274. https://doi.org/10.1016/j.catena.2017.09.025
    Shafique, M., 2020. Spatial and Temporal Evolution of Co-Seismic Landslides after the 2005 Kashmir Earthquake. Geomorphology, 362: 107228. https://doi.org/10.1016/j.geomorph.2020.107228
    Shafique, M., van der Meijde, M., Khan, M. A., 2016. A Review of the 2005 Kashmir Earthquake-Induced Landslides: From a Remote Sensing Prospective. Journal of Asian Earth Sciences, 118: 68–80. https://doi.org/10.1016/j.jseaes.2016.01.002
    Sheng, Y., 1959. Geomorphological Regionalization of China. Science Press, Beijing (in Chinese)
    Song, K., Chen, L. Y., Liu, Y. L., et al., 2022. Dynamic Mechanism of Rain Infiltration in Deep-Seated Landslide Reactivate Deformation. Earth Science, 47(10): 3665–3676 (in Chinese with English Abstract)
    Summa, V., Sinisi, R., Paris. E., et al., 2022. Compositional Features of Fine Sediments Involved in the Montescaglioso Landslide (Southern Italy). Journal of Earth Science, 33(6): 1513–1525. https://doi.org/10.1007/s12583-021-1579-8
    Tang, C., Zhu, J., Li, W. L., et al., 2009. Rainfall-Triggered Debris Flows Following the Wenchuan Earthquake. Bulletin of Engineering Geology and the Environment, 68(2): 187–194. https://doi.org/10.1007/s10064-009-0201-6
    Tang, C., Zhu, J., Qi, X., et al., 2011. Landslides Induced by the Wenchuan Earthquake and the Subsequent Strong Rainfall Event: A Case Study in the Beichuan Area of China. Engineering Geology, 122(1/2): 22–33. https://doi.org/10.1016/j.enggeo.2011.03.013
    Tang, Y. M., Feng, W., Li, Z. G., 2015. A Review of the Study of Loess Slump. Advances in Earth Science, 30(1): 26–36 (in Chinese with English Abstract)
    Vargas-Cuervo, G., Rotigliano, E., Conoscenti, C., 2019. Prediction of Debris-Avalanches and -Flows Triggered by a Tropical Storm by Using a Stochastic Approach: An Application to the Events Occurred in Mocoa (Colombia) on 1 April 2017. Geomorphology, 339: 31–43. https://doi.org/10.1016/j.geomorph.2019.04.023
    Wang, G. L., Li, T. L., Xing, X. L., et al., 2015. Research on Loess Flow-Slides Induced by Rainfall in July 2013 in Yan'an, NW China. Environmental Earth Sciences, 73(12): 7933–7944. https://doi.org/10.1007/s12665-014-3951-9
    Wang, J. F., Hu, Y., 2012. Environmental Health Risk Detection with GeogDetector. Environmental Modelling & Software, 33: 114–115. https://doi.org/10.1016/j.envsoft.2012.01.015
    Wang, J. F., Li, X. H., Christakos, G., et al., 2010. Geographical Detectors-Based Health Risk Assessment and Its Application in the Neural Tube Defects Study of the Heshun Region, China. International Journal of Geographical Information Science, 24(1): 107–127. https://doi.org/10.1080/13658810802443457
    Wang, J. F., Zhang, T. L., Fu, B. J., 2016. A Measure of Spatial Stratified Heterogeneity. Ecological Indicators, 67: 250–256. https://doi.org/10.1016/j.ecolind.2016.02.052
    Wang, J. F., Xu, C. D., 2017. Geodetector: Principle and Prospective. Acta Geographica Sinica, 72(1): 116–134 (in Chinese with English Abstract)
    Wang, Y., Lin, Q. G., Shi, P. J., 2018. Spatial Pattern and Influencing Factors of Landslide Casualty Events. Journal of Geographical Sciences, 28(3): 259–274. https://doi.org/10.1007/s11442-018-1471-3
    Xu, C., Dai, F. C., Xu, X. W., et al., 2012a. GIS-Based Support Vector Machine Modeling of Earthquake-Triggered Landslide Susceptibility in the Jianjiang River Watershed, China. Geomorphology, 145/146: 70–80. https://doi.org/10.1016/j.geomorph.2011.12.040
    Xu, C., Xu, X. W., Dai, F. C., et al., 2012b. Comparison of Different Models for Susceptibility Mapping of Earthquake Triggered Landslides Related with the 2008 Wenchuan Earthquake in China. Computers & Geosciences, 46: 317–329. https://doi.org/10.1016/j.cageo.2012.01.002
    Xu, C., Xu, X. W., Shyu, J. B. H., et al., 2014. Landslides Triggered by the 22 July 2013 Minxian-Zhangxian, China, Mw 5.9 Earthquake: Inventory Compiling and Spatial Distribution Analysis. Journal of Asian Earth Sciences, 92: 125–142. https://doi.org/10.1016/j.jseaes.2014.06.014
    Xu, C., Xu, X. W., Shyu, J. B. H., 2015a. Database and Spatial Distribution of Landslides Triggered by the Lushan, China Mw 6.6 Earthquake of 20 April 2013. Geomorphology, 248: 77–92. https://doi.org/10.1016/j.geomorph.2015.07.002
    Xu, C., Xu, X. W., Shyu, J. B. H., et al., 2015b. Landslides Triggered by the 20 April 2013 Lushan, China, Mw 6.6 Earthquake from Field Investigations and Preliminary Analyses. Landslides, 12(2): 365–385. https://doi.org/10.1007/s10346-014-0546-1
    Xu, Q., Huang, R. Q., 2008. Kinetics Charateristics of Large Landlides Triggered by May 12th Wenchuan Earthquake. Journal of Engineering Geology, 16(6): 721–729 (in Chinese with English Abstract)
    Xu, X. W., Xu, C., 2021. Natural Hazards Research: An Eternal Subject of Human Survival and Development. Natural Hazards Research, 1(1): 1–3. https://doi.org/10.1016/j.nhres.2020.12.003
    Yao, J. Y., Qin, S. W., Qiao, S. S., et al., 2020. Assessment of Landslide Susceptibility Combining Deep Learning with Semi-Supervised Learning in Jiaohe County, Jilin Province, China. Applied Sciences, 10(16): 5640. https://doi.org/10.3390/app10165640
    Yu, B., Yang, L. W., Chang, M., et al., 2021. A New Prediction Model on Debris Flows Caused by Runoff Mechanism. Environmental Earth Sciences, 80(1): 1–11. https://doi.org/10.1007/s12665-020-09336-1
    Zhao, Q. H., Wang, Y., Cao, Y., et al., 2014. Potential Health Risks of Heavy Metals in Cultivated Topsoil and Grain, Including Correlations with Human Primary Liver, Lung and Gastric Cancer, in Anhui Province, Eastern China. Science of the Total Environment, 470/471: 340–347. https://doi.org/10.1016/j.scitotenv.2013.09.086
    Zhao, H. J., Ma, F. S., Li, Z. Q., et al., 2022. Optimization of Parameters and Application of Probabilistic Seismic Landslide Hazard Analysis Model Based on Newmark Displacement Model: A Case Study in Ludian Earthquake Area. Earth Science, 47(12): 4401–4416 (in Chinese with English Abstract)
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