The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia

Landslides in Malaysia have always been seen as serious issue and posed severe threats to any settlements and structures that support transportation, natural resources, as well as tourism. Eventhough the geology of Malaysia is quite stable, excessive development and urbanization leads to deforest...

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Main Authors: Othman, Rashidi, Hasni, Mohd Shah Irani, Shaharuddin, Ruhul Izzati, Baharuddin, Zainul Mukrim
Format: Conference or Workshop Item
Language:English
English
Published: 2015
Subjects:
Online Access:http://irep.iium.edu.my/45769/
http://irep.iium.edu.my/45769/
http://irep.iium.edu.my/45769/2/PAPER_2_SLOPE_2015.pdf
http://irep.iium.edu.my/45769/6/45769.pdf
id iium-45769
recordtype eprints
spelling iium-457692018-06-25T06:51:57Z http://irep.iium.edu.my/45769/ The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia Othman, Rashidi Hasni, Mohd Shah Irani Shaharuddin, Ruhul Izzati Baharuddin, Zainul Mukrim GE Environmental Sciences QD Chemistry QE Geology TE177 Roadside development. Landscaping Landslides in Malaysia have always been seen as serious issue and posed severe threats to any settlements and structures that support transportation, natural resources, as well as tourism. Eventhough the geology of Malaysia is quite stable, excessive development and urbanization leads to deforestation, weathering and erosion of the covered soil masses causing serious threat to slopes. The extent of damages could be reduced or minimized if a long-term early warning system predicting the landslide prone areas would have been in place. A study was carried along the North-South highway, Malaysia. 60 points consists of stable and unstable slope were visited and soils samples were collected from those stations for laboratory analysis. All the selected slopes for soil sampling are from class 5 (40-50 degree). The aim of the research is to identify the soil color properties to be manipulated as indicator to forecast shallow slope failure. In conclusion, the indicator to predict shallow slope failure is ranged from 5YR to 10YR based on Munsell soil color chart. The hues that indicate stable slope are between 2.5 YR - 5YR while the hues that indicate unstable slope are between 5YR -10YR. This is due to the high contents of clay and sand which affect the soil color to yellowish, red and whitish. 2015 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/45769/2/PAPER_2_SLOPE_2015.pdf application/pdf en http://irep.iium.edu.my/45769/6/45769.pdf Othman, Rashidi and Hasni, Mohd Shah Irani and Shaharuddin, Ruhul Izzati and Baharuddin, Zainul Mukrim (2015) The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia. In: International Conference on Landslides and Slope Stability (SLOPE 2015), 27th-30th Sept. 2015, Bali, Indonesia. (Unpublished) http://www.slope2015.com/technical-session-3B.html
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
topic GE Environmental Sciences
QD Chemistry
QE Geology
TE177 Roadside development. Landscaping
spellingShingle GE Environmental Sciences
QD Chemistry
QE Geology
TE177 Roadside development. Landscaping
Othman, Rashidi
Hasni, Mohd Shah Irani
Shaharuddin, Ruhul Izzati
Baharuddin, Zainul Mukrim
The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
description Landslides in Malaysia have always been seen as serious issue and posed severe threats to any settlements and structures that support transportation, natural resources, as well as tourism. Eventhough the geology of Malaysia is quite stable, excessive development and urbanization leads to deforestation, weathering and erosion of the covered soil masses causing serious threat to slopes. The extent of damages could be reduced or minimized if a long-term early warning system predicting the landslide prone areas would have been in place. A study was carried along the North-South highway, Malaysia. 60 points consists of stable and unstable slope were visited and soils samples were collected from those stations for laboratory analysis. All the selected slopes for soil sampling are from class 5 (40-50 degree). The aim of the research is to identify the soil color properties to be manipulated as indicator to forecast shallow slope failure. In conclusion, the indicator to predict shallow slope failure is ranged from 5YR to 10YR based on Munsell soil color chart. The hues that indicate stable slope are between 2.5 YR - 5YR while the hues that indicate unstable slope are between 5YR -10YR. This is due to the high contents of clay and sand which affect the soil color to yellowish, red and whitish.
format Conference or Workshop Item
author Othman, Rashidi
Hasni, Mohd Shah Irani
Shaharuddin, Ruhul Izzati
Baharuddin, Zainul Mukrim
author_facet Othman, Rashidi
Hasni, Mohd Shah Irani
Shaharuddin, Ruhul Izzati
Baharuddin, Zainul Mukrim
author_sort Othman, Rashidi
title The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
title_short The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
title_full The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
title_fullStr The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
title_full_unstemmed The potential of soil color properties to predict shallow slope failure in North-South highway slope, Malaysia
title_sort potential of soil color properties to predict shallow slope failure in north-south highway slope, malaysia
publishDate 2015
url http://irep.iium.edu.my/45769/
http://irep.iium.edu.my/45769/
http://irep.iium.edu.my/45769/2/PAPER_2_SLOPE_2015.pdf
http://irep.iium.edu.my/45769/6/45769.pdf
first_indexed 2023-09-18T21:05:09Z
last_indexed 2023-09-18T21:05:09Z
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