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MODELING OF HYDROLOGICAL AND MECHANICAL EFFECT OF VEGETATION ON LANDSLIDE.

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Bibliographic Details
Title:	MODELING OF HYDROLOGICAL AND MECHANICAL EFFECT OF VEGETATION ON LANDSLIDE.
Authors:	FATA, Yulia Amirul, HENDRAYANTO, ERIZAL, TARIGAN, Suria Darma
Source:	International Journal of Conservation Science; Jun2025, Vol. 16 Issue 3, p1013-1034, 22p
Subject Terms:	SLOPE stability, LANDSLIDES, HYDROGEOLOGICAL modeling, TEAK, CHROMOLAENA odorata, FOREST plants, GEOTECHNICAL engineering
Abstract:	Vegetation on a slope affects slope stability and landslides through the hydro-mechanical role of vegetation. This study aims to build a vegetation-slope stability model that describes the hydro-mechanical role of vegetation on slope stability and landslides. The novelty of this research is the slope stability model, namely the modified Simplified Bishop Method (SBM) using vegetation hydro-mechanical parameters. Soil hydro-mechanical parameters integrated into the modified SBM model are matrix suction (ua-uw), vegetation surcharges (Sw), wind load force (Fwind), root cohesion (CR), and an interception, evapotranspiration in modifying soil water content (χ). The modeling results on eight scenarios of simulated slopes without vegetation and with vegetation of Teak (Tectona grandis), old Maesopsis eminii, young Maesopsis eminii, and shrubs (Chromolaena odorata) show an increase in FOS values such as 20.2%, 36.6%, 22.3%, and 7.3%, respectively. The FOS value increases with the shallower location of the phreatic line (PWP+), and the FOS value reaches stability (FOS > 1) when the PWP+ is ≥4 m deep except in old Maesopsis eminii with minimum soil mechanics parameters. However, old Maesopsis eminii reduces FOS by up to 2% when PWP+ ≥4 m because it has the largest Sw and Fwind and the smallest CR among other vegetation. This study shows that the hydro-mechanical role of vegetation can increase slope stability compared to slopes without vegetation. [ABSTRACT FROM AUTHOR]
	Copyright of International Journal of Conservation Science is the property of Alexandru Ioan Cuza University and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database:	Complementary Index

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