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An RVM-Based Model for Assessing the Failure Probability of Slopes along the Jinsha River, Close to the Wudongde Dam Site, China

Author

Listed:
  • Yanyan Li

    (Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China)

  • Jianping Chen

    (College of Construction Engineering, Jilin University, Changchun 130026, China)

  • Yanjun Shang

    (Key Laboratory of Shale Gas and Geoengineering, Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 100029, China)

Abstract

Assessing the failure potential of slopes is of great significance for land use and management. The objective of this paper is to develop a novel model for evaluating the failure probability of slopes based on a relevance vector machine (RVM), with a special attention to the characteristics of failed slopes along the lower reaches of the Jinsha River, close to the Wudongde dam site. Seven parameters that influence the occurrence of landslides were selected as environmental factors; namely lithology, slope angle, slope height, slope aspect, slope structure, distance from faults, and land use. A total of 55 landslides mapped in the study area were used to train and test the RVM model. The results suggest that the accuracy of the model in predicting the failure probability of slopes, using both training and testing data sets, is very high and deemed satisfactory. To validate the model performance, it was applied to 28 landslide cases identified in the upper reaches of the Jinsha River, where environmental and geological conditions are similar to those of the study area. An accuracy of approximately 92.9% was obtained, which demonstrates that the RVM model has a good generalization performance.

Suggested Citation

  • Yanyan Li & Jianping Chen & Yanjun Shang, 2016. "An RVM-Based Model for Assessing the Failure Probability of Slopes along the Jinsha River, Close to the Wudongde Dam Site, China," Sustainability, MDPI, vol. 9(1), pages 1-15, December.
    • Handle: RePEc:gam:jsusta:v:9:y:2016:i:1:p:32-:d:86221
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    References listed on IDEAS

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    3. Wen Zhang & Hui-Zhong Li & Jian-ping Chen & Chen Zhang & Li-ming Xu & Wei-feng Sang, 2011. "Comprehensive hazard assessment and protection of debris flows along Jinsha River close to the Wudongde dam site in China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 58(1), pages 459-477, July.
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    1. Yao Jiao & Yu Yang, 2019. "A product configuration approach based on online data," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2473-2487, August.
    2. Xiaojia Ji & Xuanyi Lu & Chunhong Guo & Weiwei Pei & Hui Xu, 2022. "Predictions of Geological Interface Using Relevant Vector Machine with Borehole Data," Sustainability, MDPI, vol. 14(16), pages 1-17, August.

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