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.
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The works described in this paper were supported by Building and Construction Authority (BCA), Singapore.
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Kim, Y., Rahardjo, H., Satyanaga, A. (2020). Susceptibility Assessment of Slope Failures in Singapore Using GIS-Based Prediction Models. In: Duc Long, P., Dung, N. (eds) Geotechnics for Sustainable Infrastructure Development. Lecture Notes in Civil Engineering, vol 62. Springer, Singapore. https://doi.org/10.1007/978-981-15-2184-3_106
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DOI: https://doi.org/10.1007/978-981-15-2184-3_106
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