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Title: | Formation of the 2015 Shenzhen landslide as observed by SAR shape-from-shading | Authors: | Wang, CS Li, QQ Zhu, JS Gao, W Shan, XJ Song, J Ding, XL |
Issue Date: | 2017 | Source: | Scientific reports, 3 2017, v. 7, no. , 43351, p. 1-12 | Abstract: | The time-series topography change of a landfill site before its failure has rarely been surveyed in detail. However, this information is important for both landfill management and early warning of landslides. Here, we take the 2015 Shenzhen landslide as an example, and we use the radar shape-from-shading (SFS) technique to retrieve time-series digital elevation models of the landfill. The results suggest that the total filling volume reached 4,074,300 m(3) in the one and a half years before the landslide, while 2,817,400 m3 slid down in the accident. Meanwhile, the landfill rate in most areas exceeded 2 m/month, which is the empirical upper threshold in landfill engineering. Using topography captured on December 12, 2015, the slope safety analysis gives a factor of safety of 0.932, suggesting that this slope was already hazardous before the landslide. We conclude that the synthetic aperture radar ( SAR) SFS technique has the potential to contribute to landfill failure monitoring. | Publisher: | Nature Publishing Group | Journal: | Scientific reports | EISSN: | 2045-2322 | DOI: | 10.1038/srep43351 | Rights: | 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/ © The Author(s) 2017 The following publication Wang, C., Li, Q., Zhu, J. et al. Formation of the 2015 Shenzhen landslide as observed by SAR shape-from-shading. Sci Rep 7, 43351 (2017) is available at https://dx.doi.org/10.1038/srep43351 |
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