Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/87485
Title: Optimized volume models of earthquake-triggered landslides
Authors: Xu, Chong
Xu, Xiwei
Shen, Lingling
Yao, Qi
Tan, Xibin
Kang, Wenjun
Ma, Siyuan
Wu, Xiyan
Cai, Juntao
Gao, Mingxing
Li, Kang
Keywords: Landslide
Earthquake
DRNTU::Science::Geology
Issue Date: 2016
Source: Xu, C., Xu, X., Shen, L., Yao, Q., Tan, X., Kang, W., . . . Li, K. (2016). Optimized volume models of earthquake-triggered landslides. Scientific Reports, 6, 29797-. doi:10.1038/srep29797
Series/Report no.: Scientific Reports
Abstract: In this study, we proposed three optimized models for calculating the total volume of landslides triggered by the 2008 Wenchuan, China Mw 7.9 earthquake. First, we calculated the volume of each deposit of 1,415 landslides triggered by the quake based on pre- and post-quake DEMs in 20 m resolution. The samples were used to fit the conventional landslide “volume-area” power law relationship and the 3 optimized models we proposed, respectively. Two data fitting methods, i.e. log-transformed-based linear and original data-based nonlinear least square, were employed to the 4 models. Results show that original data-based nonlinear least square combining with an optimized model considering length, width, height, lithology, slope, peak ground acceleration, and slope aspect shows the best performance. This model was subsequently applied to the database of landslides triggered by the quake except for two largest ones with known volumes. It indicates that the total volume of the 196,007 landslides is about 1.2 × 1010 m3 in deposit materials and 1 × 1010 m3 in source areas, respectively. The result from the relationship of quake magnitude and entire landslide volume related to individual earthquake is much less than that from this study, which reminds us the necessity to update the power-law relationship.
URI: https://hdl.handle.net/10356/87485
http://hdl.handle.net/10220/46718
DOI: http://dx.doi.org/10.1038/srep29797
Rights: © 2016 The Authors (Nature Publishing Group). This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EOS Journal Articles

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