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)
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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 |
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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 |
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