Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability

Landslide is one of the most widely distributed surface morphological landscapes, and it can cause a series of major economic and human losses. Field monitoring and limit equilibrium methods were applied to investigate Baota Mountain landslide stability, and soil volumetric water content, different...

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Main Authors: Yaming Tang, Heping Shu, Qiang Xue, Jiayun Wang, Wei Feng, Hongna Ma, Yan’e Li, Jin Luo, Hamid Reza Pourghasemi
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Advances in Civil Engineering
Online Access:http://dx.doi.org/10.1155/2021/6699917
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author Yaming Tang
Heping Shu
Qiang Xue
Jiayun Wang
Wei Feng
Hongna Ma
Yan’e Li
Jin Luo
Hamid Reza Pourghasemi
author_facet Yaming Tang
Heping Shu
Qiang Xue
Jiayun Wang
Wei Feng
Hongna Ma
Yan’e Li
Jin Luo
Hamid Reza Pourghasemi
author_sort Yaming Tang
collection DOAJ
description Landslide is one of the most widely distributed surface morphological landscapes, and it can cause a series of major economic and human losses. Field monitoring and limit equilibrium methods were applied to investigate Baota Mountain landslide stability, and soil volumetric water content, different scales of rainfall data, and landslide displacements were monitored using various equipment. The theoretical factor of safety was also calculated for the landslide. Finally, the theoretical results were validated by monitoring data in the field. The results demonstrate that soil volumetric water content experienced the greatest change with time at a depth of 0.2 m and then 1 m; however, the change in soil volumetric water content was relatively small with time at a soil depth ranging from 2.0 m to 4.0 m. Soil volumetric water content also did not change with time at a soil depth of 5.0 m and below. In addition, the retardation effect was found in different depths of volumetric water content for continuous rainfall. The safety factors were 2.713 and 1.133 for landslide No. 1 and landslide No. 2, respectively. These results indicate that landslide No. 1 is relatively stable, but there is a probability of the occurrence of movement in landslide No. 2. The monitoring displacement data indicate that landslide No.1 was in a relatively stable state between 2008 and 2013, and this result was in accordance with the value of theoretical calculation. This study provided relevant parameters for numerical simulation of landslides in loess areas.
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issn 1687-8086
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language English
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spelling doaj-art-2cf20a756b0345a283db35303da44dd32025-02-03T05:58:30ZengWileyAdvances in Civil Engineering1687-80861687-80942021-01-01202110.1155/2021/66999176699917Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide StabilityYaming Tang0Heping Shu1Qiang Xue2Jiayun Wang3Wei Feng4Hongna Ma5Yan’e Li6Jin Luo7Hamid Reza Pourghasemi8Xi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaXi’an Centre of Geological Survey, China Geology Survey, Xi’an 710054, ChinaDepartment of Natural Resources and Environmental Engineering, College of Agriculture, Shiraz University, Shiraz, IranLandslide is one of the most widely distributed surface morphological landscapes, and it can cause a series of major economic and human losses. Field monitoring and limit equilibrium methods were applied to investigate Baota Mountain landslide stability, and soil volumetric water content, different scales of rainfall data, and landslide displacements were monitored using various equipment. The theoretical factor of safety was also calculated for the landslide. Finally, the theoretical results were validated by monitoring data in the field. The results demonstrate that soil volumetric water content experienced the greatest change with time at a depth of 0.2 m and then 1 m; however, the change in soil volumetric water content was relatively small with time at a soil depth ranging from 2.0 m to 4.0 m. Soil volumetric water content also did not change with time at a soil depth of 5.0 m and below. In addition, the retardation effect was found in different depths of volumetric water content for continuous rainfall. The safety factors were 2.713 and 1.133 for landslide No. 1 and landslide No. 2, respectively. These results indicate that landslide No. 1 is relatively stable, but there is a probability of the occurrence of movement in landslide No. 2. The monitoring displacement data indicate that landslide No.1 was in a relatively stable state between 2008 and 2013, and this result was in accordance with the value of theoretical calculation. This study provided relevant parameters for numerical simulation of landslides in loess areas.http://dx.doi.org/10.1155/2021/6699917
spellingShingle Yaming Tang
Heping Shu
Qiang Xue
Jiayun Wang
Wei Feng
Hongna Ma
Yan’e Li
Jin Luo
Hamid Reza Pourghasemi
Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
Advances in Civil Engineering
title Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
title_full Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
title_fullStr Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
title_full_unstemmed Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
title_short Field Monitoring-Based and Theoretical Analysis of Baota Mountain Landslide Stability
title_sort field monitoring based and theoretical analysis of baota mountain landslide stability
url http://dx.doi.org/10.1155/2021/6699917
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