TY - JOUR
T1 - Formation of the 2015 Shenzhen landslide as observed by SAR shape-from-shading
AU - Wang, Chisheng
AU - Li, Qingquan
AU - Zhu, Jiasong
AU - Gao, Wei
AU - Shan, Xinjian
AU - Song, Jun
AU - Ding, Xiaoli
PY - 2017/3/3
Y1 - 2017/3/3
N2 - 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 m3in the one and a half years before the landslide, while 2,817,400 m3slid 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.
AB - 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 m3in the one and a half years before the landslide, while 2,817,400 m3slid 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.
UR - http://www.scopus.com/inward/record.url?scp=85014590233&partnerID=8YFLogxK
U2 - 10.1038/srep43351
DO - 10.1038/srep43351
M3 - Journal article
SN - 2045-2322
VL - 7
JO - Scientific Reports
JF - Scientific Reports
M1 - 43351
ER -