Parameters to predict slope stability-soil water and root profiles

A survey was conducted on five slopes of differing slope integrity along the North-South Expressway, Malaysia, to study the effects of vegetation on slope stability. Results showed significant effects of vegetation cover on slope stability in two extreme slopes, type A and type E, which represented...

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Main Authors: Osman, Normaniza, Barakbah, S.S.
Format: Article
Published: 2006
Subjects:
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author Osman, Normaniza
Barakbah, S.S.
author_facet Osman, Normaniza
Barakbah, S.S.
author_sort Osman, Normaniza
collection UM
description A survey was conducted on five slopes of differing slope integrity along the North-South Expressway, Malaysia, to study the effects of vegetation on slope stability. Results showed significant effects of vegetation cover on slope stability in two extreme slopes, type A and type E, which represented stable and failed slopes, respectively. The highest root length density (RLD) was observed in type A slope due to the high density of vegetation cover, which eventually resulted in a lower soil water content (SWC). In contrast, the low biomass density of type E slope possessed a low RLD but high SWC, characteristics of a failed slope. Some correlations were also observed: RLD is positively related to shear strength and SWC is negatively related to both soil shear strength and soil penetrability. Thus, the study suggests that SWC and RLD could be used as indicators of slope stability and has the potential to predict slope failure in the future. © 2006 Elsevier B.V. All rights reserved.
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spelling um.eprints-62372020-01-24T03:35:08Z http://eprints.um.edu.my/6237/ Parameters to predict slope stability-soil water and root profiles Osman, Normaniza Barakbah, S.S. QH301 Biology A survey was conducted on five slopes of differing slope integrity along the North-South Expressway, Malaysia, to study the effects of vegetation on slope stability. Results showed significant effects of vegetation cover on slope stability in two extreme slopes, type A and type E, which represented stable and failed slopes, respectively. The highest root length density (RLD) was observed in type A slope due to the high density of vegetation cover, which eventually resulted in a lower soil water content (SWC). In contrast, the low biomass density of type E slope possessed a low RLD but high SWC, characteristics of a failed slope. Some correlations were also observed: RLD is positively related to shear strength and SWC is negatively related to both soil shear strength and soil penetrability. Thus, the study suggests that SWC and RLD could be used as indicators of slope stability and has the potential to predict slope failure in the future. © 2006 Elsevier B.V. All rights reserved. 2006 Article PeerReviewed Osman, Normaniza and Barakbah, S.S. (2006) Parameters to predict slope stability-soil water and root profiles. Ecological Engineering, 28 (1). pp. 90-95. ISSN 09258574 , DOI https://doi.org/10.1016/j.ecoleng.2006.04.004 <https://doi.org/10.1016/j.ecoleng.2006.04.004>. http://www.scopus.com/inward/record.url?eid=2-s2.0-33750315319&partnerID=40&md5=73bfa2521da245981fb471a66ce0ac96 10.1016/j.ecoleng.2006.04.004
spellingShingle QH301 Biology
Osman, Normaniza
Barakbah, S.S.
Parameters to predict slope stability-soil water and root profiles
title Parameters to predict slope stability-soil water and root profiles
title_full Parameters to predict slope stability-soil water and root profiles
title_fullStr Parameters to predict slope stability-soil water and root profiles
title_full_unstemmed Parameters to predict slope stability-soil water and root profiles
title_short Parameters to predict slope stability-soil water and root profiles
title_sort parameters to predict slope stability soil water and root profiles
topic QH301 Biology
work_keys_str_mv AT osmannormaniza parameterstopredictslopestabilitysoilwaterandrootprofiles
AT barakbahss parameterstopredictslopestabilitysoilwaterandrootprofiles