Research on gliding distance estimation of loess landslide based on multiple regression: A case study of Tianshui region, Gansu Province

SHAO Baorong; SUN Jichao; ZHU Yueqin; WANG Tao; LIU Jiamei; CHEN Chen

Geological Bulletin of China > 2020 > 39(12): 1993-2003.

SHAO Baorong, SUN Jichao, ZHU Yueqin, WANG Tao, LIU Jiamei, CHEN Chen. 2020: Research on gliding distance estimation of loess landslide based on multiple regression: A case study of Tianshui region, Gansu Province. Geological Bulletin of China, 39(12): 1993-2003.

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Research on gliding distance estimation of loess landslide based on multiple regression: A case study of Tianshui region, Gansu Province

SHAO Baorong^{1, 2,},
SUN Jichao^{1, 2, ,},
ZHU Yueqin^{2, 3, ,},
WANG Tao⁴,
LIU Jiamei⁴,
CHEN Chen^{1, 2}

1.
School of Water Resources and Environment, China University of Geosciences(Beijing), Beijing 100083, China
2.
Geological Information Technology Innovation Center, MNR, Beijing 100037, China
3.
Development and Research Center, China Geological Survey, Beijing 100037, China
4.
Institute of Geomechanics, Chinese Academy of Geological Sciences, Beijing 100081, China

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Received Date: June 09, 2020
Revised Date: September 11, 2020
Available Online: August 15, 2023

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Abstract

Abstract

The prediction of the gliding distance of landslide is one of the key problems in the risk assessment of large slip landslide.To quantitatively analyze the effects of landslide topography height difference, landslide volume, landslide length-width ratio, landslide plane curvature, slope and vegetation cover on the runout distance of loess landslide, the authors chose long-term landslide data in the Tianshui region as an example to analyze the significance of the factors affecting the gliding distance by the factor correlation analysis and revised the gliding distance induced by rainfall and earthquake estimation equation based on Schudger formula and multiple regression in this paper.The results show that elevation difference, landslide volume, landslide length-width ratio and slope can be used as the input of landslide gliding distance prediction model in Tianshui region, and the degree of influence of each factor on the gliding distance of landslide can be quantitatively described by partial regression coefficient.After the optimization of the gliding distance prediction model in this paper, two indexes of landslide length-width ratio and slope are increased by the Schudger formula, which improves the accuracy of the model applied in the Tianshui region.
- gliding distance of landslide,
- correlation analysis,
- optimization of Schudger formula,
- multiple regression

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Research on gliding distance estimation of loess landslide based on multiple regression: A case study of Tianshui region, Gansu Province

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