Slope stability estimation using a danger level approach for monitoring landslide prone areas

Slope stability evaluation is an essential element in assessing landslide hazards and ensuring the safe design of structures and infrastructure. There has been increased awareness of the need to give greater attention to these phenomena. However, there is no general rule for classifying safety facto...

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Main Authors: Siti Nurbaidzuri Reli,, Izham Mohamad Yusoff,, Muhamad Uznir Ujang,
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:http://journalarticle.ukm.my/18207/1/48376-172582-1-PB.pdf
http://journalarticle.ukm.my/18207/
https://ejournal.ukm.my/gmjss/issue/view/1443
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spelling my-ukm.journal.182072022-03-14T00:52:52Z http://journalarticle.ukm.my/18207/ Slope stability estimation using a danger level approach for monitoring landslide prone areas Siti Nurbaidzuri Reli, Izham Mohamad Yusoff, Muhamad Uznir Ujang, Slope stability evaluation is an essential element in assessing landslide hazards and ensuring the safe design of structures and infrastructure. There has been increased awareness of the need to give greater attention to these phenomena. However, there is no general rule for classifying safety factors of the slope. The factor of safety (FOS) is used globally to determine slope stability by identifying shear strength and shear stress. However, the FOS cannot become the only assessment to evaluate slope stability. This research focuses more on the infiltration of soil-water that reduces the strength of slopes based on the danger level (DL). DL is divided into four categories: low, moderate, high, and very high. To estimate slope stability, four main locations are set on the slope: P1 (highest point), P2, P3 and P4 (lowest point). The DL value is determined using FOS, a rainfall threshold, soil-water infiltration, and soil classification. The DL value for P1 is 0.567 (moderate risk), while the DL values for P2, P3, and P4 are 0.116, 0.073, and 0.095 (very high risk), respectively, indicating that this slope is hazardous. Determining hazardous slope points will be easier, as DL has classified specific slope locations with exact risk values. Penerbit Universiti Kebangsaan Malaysia 2021 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/18207/1/48376-172582-1-PB.pdf Siti Nurbaidzuri Reli, and Izham Mohamad Yusoff, and Muhamad Uznir Ujang, (2021) Slope stability estimation using a danger level approach for monitoring landslide prone areas. Geografia : Malaysian Journal of Society and Space, 17 (4). pp. 221-239. ISSN 2180-2491 https://ejournal.ukm.my/gmjss/issue/view/1443
institution Universiti Kebangsaan Malaysia
building Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Slope stability evaluation is an essential element in assessing landslide hazards and ensuring the safe design of structures and infrastructure. There has been increased awareness of the need to give greater attention to these phenomena. However, there is no general rule for classifying safety factors of the slope. The factor of safety (FOS) is used globally to determine slope stability by identifying shear strength and shear stress. However, the FOS cannot become the only assessment to evaluate slope stability. This research focuses more on the infiltration of soil-water that reduces the strength of slopes based on the danger level (DL). DL is divided into four categories: low, moderate, high, and very high. To estimate slope stability, four main locations are set on the slope: P1 (highest point), P2, P3 and P4 (lowest point). The DL value is determined using FOS, a rainfall threshold, soil-water infiltration, and soil classification. The DL value for P1 is 0.567 (moderate risk), while the DL values for P2, P3, and P4 are 0.116, 0.073, and 0.095 (very high risk), respectively, indicating that this slope is hazardous. Determining hazardous slope points will be easier, as DL has classified specific slope locations with exact risk values.
format Article
author Siti Nurbaidzuri Reli,
Izham Mohamad Yusoff,
Muhamad Uznir Ujang,
spellingShingle Siti Nurbaidzuri Reli,
Izham Mohamad Yusoff,
Muhamad Uznir Ujang,
Slope stability estimation using a danger level approach for monitoring landslide prone areas
author_facet Siti Nurbaidzuri Reli,
Izham Mohamad Yusoff,
Muhamad Uznir Ujang,
author_sort Siti Nurbaidzuri Reli,
title Slope stability estimation using a danger level approach for monitoring landslide prone areas
title_short Slope stability estimation using a danger level approach for monitoring landslide prone areas
title_full Slope stability estimation using a danger level approach for monitoring landslide prone areas
title_fullStr Slope stability estimation using a danger level approach for monitoring landslide prone areas
title_full_unstemmed Slope stability estimation using a danger level approach for monitoring landslide prone areas
title_sort slope stability estimation using a danger level approach for monitoring landslide prone areas
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2021
url http://journalarticle.ukm.my/18207/1/48376-172582-1-PB.pdf
http://journalarticle.ukm.my/18207/
https://ejournal.ukm.my/gmjss/issue/view/1443
_version_ 1728052182718087168
score 13.211869