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 fact...
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Universiti Kebangsaan Malaysia
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Online Access: | http://ir.unimas.my/id/eprint/41707/3/Slope%20stability%20-%20Copy.pdf http://ir.unimas.my/id/eprint/41707/ https://ejournal.ukm.my/gmjss/ https://doi.org/10.17576/geo-2021-1704-16 |
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my.unimas.ir.417072023-04-18T00:42:44Z http://ir.unimas.my/id/eprint/41707/ Slope stability estimation using a Danger Level approach for monitoring landslide prone areas Siti Nurbaidzuri, Reli @ Raily Izham, Mohamad Yusoff Muhamad Uznir, Ujang G Geography (General) GA Mathematical geography. Cartography GB Physical geography GE Environmental Sciences 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. Universiti Kebangsaan Malaysia 2021-11-30 Article PeerReviewed text en http://ir.unimas.my/id/eprint/41707/3/Slope%20stability%20-%20Copy.pdf Siti Nurbaidzuri, Reli @ Raily 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 2682-7727 https://ejournal.ukm.my/gmjss/ https://doi.org/10.17576/geo-2021-1704-16 |
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G Geography (General) GA Mathematical geography. Cartography GB Physical geography GE Environmental Sciences Siti Nurbaidzuri, Reli @ Raily Izham, Mohamad Yusoff Muhamad Uznir, Ujang Slope stability estimation using a Danger Level approach for monitoring landslide prone areas |
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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. |
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Article |
author |
Siti Nurbaidzuri, Reli @ Raily Izham, Mohamad Yusoff Muhamad Uznir, Ujang |
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Siti Nurbaidzuri, Reli @ Raily Izham, Mohamad Yusoff Muhamad Uznir, Ujang |
author_sort |
Siti Nurbaidzuri, Reli @ Raily |
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 |
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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 |
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Universiti Kebangsaan Malaysia |
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2021 |
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http://ir.unimas.my/id/eprint/41707/3/Slope%20stability%20-%20Copy.pdf http://ir.unimas.my/id/eprint/41707/ https://ejournal.ukm.my/gmjss/ https://doi.org/10.17576/geo-2021-1704-16 |
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