山区铁路工程建设后滑坡识别与危险性研究

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Abstract Research purposes: Aiming at the difficulty of manual investigation and identification of landslide hazards along mountainous railway lines, a method is proposed to identify railway landslides based on remote sensing data and to quantitatively assess the scale and danger of railway landslides. Taking the Tanchang section of Lanzhou-Chongqing Railway as an example, PS-InSAR (Permanent Scatterers-Interferometric Synthetic Aperture Radar) technology and optical remote sensing images are used to identify the railway landslides in the study area, and based on ArcGIS and Massflow platform, the volume of landslides, whether they pose a threat to the railway are analyzed, in order to develop railway landslide mitigation strategies and ensure the normal operation of the railway after construction.
Research conclusions: (1) Combining PS-InSAR technology and star map geo-optical remote sensing images to identify 2 potential railway landslides, and by analyzing the accumulated deformation of landslides, it shows that the potential landslides are obviously affected by rainfall. (2) The sliding surface of potential landslides is estimated based on ArcGIS platform using the tilted local datum method, and the maximum thickness of Linjiangpu landslide body is obtained as 9.9 m, and the volume is 3.1× 10⁴ m³; the maximum thickness of Huangjia landslide body is 12.9 m and the volume is 8.5×10⁴ m³. (3) The numerical simulation of the movement process of the two landslides is carried out using Massflow software, and the analysis results show that once damage occurs, the landslide body will impact the railway bridge deck, so it is recommended to focus on the prevention and control of potential landslides in Linjiangpu and Huangjia during the rainy season.（4）This study can be applied to railway safety monitoring and disaster prevention, and provide a scientific basis for landslide early warning and prevention in areas along mountainous railways.

Key words： Lanzhou-Chongqing Railway landslide PS-InSAR Massflow hazard analysis

Received: 15 June 2023

PACS:

P237

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	Articles by authors
	ZHANG Yu
	LI Lei
	HOU Yunlong
	HAN Bingbing
	AN Ning
	ZHANG Hui
	MA Ying

Cite this article:

ZHANG Yu,LI Lei,HOU Yunlong, et al. Study on Landslide Identification and Hazard after Construction of Railway Project in Mountainous Areas[J]. Journal of Railway Engineering Society, 2024, 41(9): 106-113.

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https://tdgcxb.crec.cn/EN/ OR https://tdgcxb.crec.cn/EN/Y2024/V41/I9/106

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