Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria

This study investigated a highway slope 2 km ahead of the entrance of the Alishan National Forest Recreation Area, at the mileage of 86 km and 950 m of the Alishan Highway, Taiwan. Countermeasures were conducted after a slope failure. Groundwater wells and inclination wells were installed on the slo...

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Main Authors: Kuo-Jung Wang, Der-Her Lee, Yun-Che Chen, Jian-Hong Wu, Zhi-Ren Tseng, Charng-Hsein Juang
Format: Article
Language:English
Published: Chinese Geoscience Union 2021-04-01
Series:Terrestrial, Atmospheric and Oceanic Sciences
Online Access: http://tao.cgu.org.tw/media/k2/attachments/v322p171.pdf
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spelling doaj-b9662565fab443d5beabf330dd3e0d362021-07-26T08:14:35ZengChinese Geoscience UnionTerrestrial, Atmospheric and Oceanic Sciences1017-08392311-76802021-04-0132217118910.3319/TAO.2021.03.29.01Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteriaKuo-Jung WangDer-Her LeeYun-Che ChenJian-Hong WuZhi-Ren TsengCharng-Hsein JuangThis study investigated a highway slope 2 km ahead of the entrance of the Alishan National Forest Recreation Area, at the mileage of 86 km and 950 m of the Alishan Highway, Taiwan. Countermeasures were conducted after a slope failure. Groundwater wells and inclination wells were installed on the slope. The new idea to improve the accuracy of the empirical rainfall-based criteria comes from developing the relations between rainfall and groundwater fluctuation by analyzing the local groundwater elevation and the rainfall data at the Alishan rainfall station. The potential failure surfaces for shallow collapse and deep-seated landslide in the slope and the relationships between the slope stability and the groundwater level were assessed using Geo-Studio. The variation of the groundwater level with the critical state of the slope were obtained. Based on the analysis results, in each kind of potential failure of shallow collapse and landslide, the total cumulative rainfall (ΣR) corresponding to three slope stability states were determined: (1) safe, slope is stable, (2) dangerous, slope is possible failure (0 < failure possibility < 100%), and (3) disaster, slope will failure (failure possibility = 100%). Finally, combine the three slope stability states for the shallow collapse and the deep-seated landslide, a rainfall-based slope failure warning criteria for the test slope on the Alishan Highway is set up to operate in five stages: (1) safety (ΣR < 440 mm), (2) alert (440 mm ≤ ΣR < 580 mm), (3) evacuated (580 mm ≤ ΣR < 850 mm), (4) disaster (850 mm ≤ ΣR < 990 mm), and (5) catastrophe (990 mm ≤ ΣR). http://tao.cgu.org.tw/media/k2/attachments/v322p171.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Kuo-Jung Wang
Der-Her Lee
Yun-Che Chen
Jian-Hong Wu
Zhi-Ren Tseng
Charng-Hsein Juang
spellingShingle Kuo-Jung Wang
Der-Her Lee
Yun-Che Chen
Jian-Hong Wu
Zhi-Ren Tseng
Charng-Hsein Juang
Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
Terrestrial, Atmospheric and Oceanic Sciences
author_facet Kuo-Jung Wang
Der-Her Lee
Yun-Che Chen
Jian-Hong Wu
Zhi-Ren Tseng
Charng-Hsein Juang
author_sort Kuo-Jung Wang
title Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
title_short Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
title_full Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
title_fullStr Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
title_full_unstemmed Integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
title_sort integrating in-situ monitoring data and slope stability analysis for a new empirical slope failure warning criteria
publisher Chinese Geoscience Union
series Terrestrial, Atmospheric and Oceanic Sciences
issn 1017-0839
2311-7680
publishDate 2021-04-01
description This study investigated a highway slope 2 km ahead of the entrance of the Alishan National Forest Recreation Area, at the mileage of 86 km and 950 m of the Alishan Highway, Taiwan. Countermeasures were conducted after a slope failure. Groundwater wells and inclination wells were installed on the slope. The new idea to improve the accuracy of the empirical rainfall-based criteria comes from developing the relations between rainfall and groundwater fluctuation by analyzing the local groundwater elevation and the rainfall data at the Alishan rainfall station. The potential failure surfaces for shallow collapse and deep-seated landslide in the slope and the relationships between the slope stability and the groundwater level were assessed using Geo-Studio. The variation of the groundwater level with the critical state of the slope were obtained. Based on the analysis results, in each kind of potential failure of shallow collapse and landslide, the total cumulative rainfall (ΣR) corresponding to three slope stability states were determined: (1) safe, slope is stable, (2) dangerous, slope is possible failure (0 < failure possibility < 100%), and (3) disaster, slope will failure (failure possibility = 100%). Finally, combine the three slope stability states for the shallow collapse and the deep-seated landslide, a rainfall-based slope failure warning criteria for the test slope on the Alishan Highway is set up to operate in five stages: (1) safety (ΣR < 440 mm), (2) alert (440 mm ≤ ΣR < 580 mm), (3) evacuated (580 mm ≤ ΣR < 850 mm), (4) disaster (850 mm ≤ ΣR < 990 mm), and (5) catastrophe (990 mm ≤ ΣR).
url http://tao.cgu.org.tw/media/k2/attachments/v322p171.pdf
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