Abstract
A novel machine learning ensemble model that is a hybridization of Bagging and random subspace–based naïve Bayes tree (RSNBtree), named as BRSNBtree, was used to prepare a landslide susceptibility map for Zigui County of the Three Gorges Reservoir Area, China. The proposed method is implemented by using the Bagging scheme to integrate the base-level RSNBtree model. To predict landslide susceptibility for the study area, a spatial database consisted of 807 landslides and 11 conditioning factors has been prepared. Evaluation of conditioning factors was conducted using the Pearson correlation coefficient and Relief-F method. The results indicate that all factors except the topographic wetness index can be accepted as modeling inputs. Particularly, the distance to rivers is the most important factor in landslide susceptibility prediction. The performance of landslide models was evaluated using statistical indices and areas under the receiver operatic characteristic curve (AUC). The support vector machines (SVM) and random forest (RF) were adopted for the comparison with our methods. Results show that the BRSNBtree (AUC = 0.968) achieves the highest prediction performance, which successfully refines the RSNBtree (AUC = 0.938) and outperforms the RF (AUC = 0.949) and SVM (AUC = 0.895). Therefore, the proposed BRSNBtree presents advantages in targeting landslide susceptible areas and provides a promising method for landslide susceptibility assessment. The developed susceptibility maps could facilitate effective landslide risk management for this landslide-prone area.
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Acknowledgements
The authors are grateful to the Wuhan Center of Geological Survey and the Department of natural resources of Hubei Province for providing the data used in this study. In addition, we are deeply grateful to Prof. Bob Criss (Department of Earth and Planetary Sciences, Washington University) for giving careful suggestions to our work, which help to improve the quality of this paper.
Funding
This research was supported by the Project “Construction of Geological Hazard Risk Identification and Risk Release System in the Three Gorges Reservoir Area” (No. 0001212012AC50001).
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Hu, X., Huang, C., Mei, H. et al. Landslide susceptibility mapping using an ensemble model of Bagging scheme and random subspace–based naïve Bayes tree in Zigui County of the Three Gorges Reservoir Area, China. Bull Eng Geol Environ 80, 5315–5329 (2021). https://doi.org/10.1007/s10064-021-02275-6
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DOI: https://doi.org/10.1007/s10064-021-02275-6