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A comparative study on the landslide susceptibility mapping using evidential belief function and weights of evidence models

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Abstract

The purpose of this study is to produce landslide susceptibility map of a landslide-prone area (Daguan County, China) by evidential belief function (EBF) model and weights of evidence (WoE) model to compare the results obtained. For this purpose, a landslide inventory map was constructed mainly based on earlier reports and aerial photographs, as well as, by carrying out field surveys. A total of 194 landslides were mapped. Then, the landslide inventory was randomly split into a training dataset; 70% (136 landslides) for training the models and the remaining 30% (58 landslides) was used for validation purpose. Then, a total number of 14 conditioning factors, such as slope angle, slope aspect, general curvature, plan curvature, profile curvature, altitude, distance from rivers, distance from roads, distance from faults, lithology, normalized difference vegetation index (NDVI), sediment transport index (STI), stream power index (SPI), and topographic wetness index (TWI) were used in the analysis. Subsequently, landslide susceptibility maps were produced using the EBF and WoE models. Finally, the validation of landslide susceptibility map was accomplished with the area under the curve (AUC) method. The success rate curve showed that the area under the curve for EBF and WoE models were of 80.19% and 80.75% accuracy, respectively. Similarly, the validation result showed that the susceptibility map using EBF model has the prediction accuracy of 80.09%, while for WoE model, it was 79.79%. The results of this study showed that both landslide susceptibility maps obtained were successful and would be useful for regional spatial planning as well as for land cover planning.

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Acknowledgements

The authors would like to express their gratitude to everyone who provided assistance for the present study. The study is jointly supported by the National Program on Key Basic Research Project (Grant No. 2015CB251601) and the State Key Program of National Natural Science of China (Grant No. 41430643). The authors would also like to acknowledge the two anonymous reviewers and the editor for their helpful comments on the earlier version of the manuscript.

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  1. School of Resources and Geosciences, China University of Mining and Technology, Xuzhou, 221116, China.

    QIQING WANG, WENPING LI, YANLI WU, YABING PEI, MAOLIN XING & DONGDONG YANG

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WANG, Q., LI, W., WU, Y. et al. A comparative study on the landslide susceptibility mapping using evidential belief function and weights of evidence models. J Earth Syst Sci 125, 645–662 (2016). https://doi.org/10.1007/s12040-016-0686-x

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