Susceptibility assessment of slope failures in Singapore using GIS-based prediction models

Kim, Y. , Rahardjo, H. and Satyanaga, A. (2019) Susceptibility assessment of slope failures in Singapore using GIS-based prediction models. In: Duc Long, P. and Dung, N. T. (eds.) Geotechnics for Sustainable Infrastructure Development. Series: Lecture notes in civil engineering (62). Springer: Singapore, pp. 825-830. ISBN 9789811521836 (doi: 10.1007/978-981-15-2184-3_106)

Full text not currently available from Enlighten.

Abstract

This paper develops a slope susceptibility map for an Orchard district in Singapore using GIS-based prediction models. Regional-scale slope susceptibility was assessed based on the contributions of the important parameters, e.g., rainfall intensity, soil-water characteristic curve (SWCC), unsaturated permeability function, elevation and slope angle map as well as groundwater table spatial distributions. As a result, an appropriate slope susceptibility map was established by incorporating the unsaturated characteristics of soils.

Item Type:Book Sections
Status:Published
Glasgow Author(s) Enlighten ID:Kim, Dr Yongmin
Authors: Kim, Y., Rahardjo, H., and Satyanaga, A.
College/School:College of Science and Engineering > School of Engineering
Publisher:Springer
ISBN:9789811521836
Published Online:29 November 2019

University Staff: Request a correction | Enlighten Editors: Update this record