Field variability of landslide model parameters |
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Authors: | A Burton T J Arkell J C Bathurst |
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Institution: | (1) Water Resource Systems Research Laboratory, Department of Civil Engineering, University of Newcastle, Newcastle upon Tyne, NE1 7RU, UK, GB |
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Abstract: | A data set of parameters (slope, soil depth and soil shear strength) relevant to spatially distributed modelling of shallow
landslides triggered by rain and snowmelt events was determined from field measurements in 250 grid elements of dimensions
25 m (downslope)×10 m (across slope) in an area of 250 m×250 m on a hillslope in Scotland. These data provide an unusually
detailed basis for the evaluation of spatial variability and uncertainty in model parameterisation. The variations in slope
and soil strength are represented adequately by normal distributions; a Weibull distribution is suggested for the soil depth
data. The factor of safety calculated at each point in the grid was shown partially to identify observed landslides, with
a number of false predictions of occurrence. Trend analysis and semivariogram analysis of the data set suggest that the use
of kriging could improve upon this approach to landslide prediction by providing areal estimates of parameters at the grid
element scale with associated error bounds.
Received: 30 October 1996 · Accepted: 25 June 1997 |
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Keywords: | Field study Landslide data Landslide model Model uncertainty Parameter distributions Spatial variability |
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