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Application of statistical index and index of entropy methods to landslide susceptibility assessment in Gongliu (Xinjiang, China)

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Abstract

The purpose of this study is to evaluate and compare the results applying the statistical index and the index of entropy methods for estimating landslide susceptibility in Gongliu County, China. In order to do this, first, a landslide inventory map was constructed mainly based on earlier reports and aerial photographs as well as by carrying out field surveys. Then the landslide inventory was randomly divided into two datasets 70 % (163 landslides) for training the models and the remaining 30 % (70 landslides) was used for validation purpose. The landslide conditioning factors consist of slope angle, slope aspect, altitude, general curvature, plan curvature, profile curvature, distance to rivers, distance to roads, normalized difference vegetation index, sediment transport index, rainfall, and lithology. The relationships between landslide distributions and these parameters were analyzed using the two models, and the results of both the models were then used to calculate the landslide susceptibility of the entire study area. Finally, the accuracy of the landslide susceptibility maps was evaluated based on the area under the curve (AUC) method. The validation results showed that the statistical index model (AUC = 82.51 %) is slightly lower than the index of entropy model (AUC = 82.80 %) for success rate. Nevertheless, for the prediction rate, it was found that the statistical index model (AUC = 77.90 %) is slightly lower than the index of entropy model (AUC = 77.41 %). The landslide susceptibility maps produced from this study were successful and can be useful for preliminary general land use planning and hazard mitigation purpose.

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Acknowledgments

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), the State Key Program of National Natural Science of China (Grant No. 41430643) and the Natural Science Foundation of China (Grant No. 41302248). The authors would also like to acknowledge two anonymous reviewers and editor for their helpful comments on the previous 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 & Peng Xie

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  1. Qiqing Wang
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  2. Wenping Li
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Correspondence to Qiqing Wang.

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Wang, Q., Li, W., Wu, Y. et al. Application of statistical index and index of entropy methods to landslide susceptibility assessment in Gongliu (Xinjiang, China). Environ Earth Sci 75, 599 (2016). https://doi.org/10.1007/s12665-016-5400-4

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