Landslide model performance in a high resolution small-scale landscape

De Sy, V and Schoorl, J M and Keesstra, S D and Jones, K E and Claessens, L (2013) Landslide model performance in a high resolution small-scale landscape. Geomorphology, 190. pp. 73-81. ISSN 0169-555X (In Press)

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Abstract

The frequency and severity of shallow landslides in New Zealand threatens life and property, both on- and off-site. The physically-based shallow landslide model LAPSUS-LS is tested for its performance in simulating shallow landslide locations induced by a high intensity rain event in a small-scale landscape. Furthermore, the effect of high resolution digital elevation models on the performance was tested. The performance of the model was optimized by calibrating different parameter values. A satisfactory result was achieved with a high resolution (1 m) DEM. Landslides, however, were generally predicted lower on the slope than mapped erosion scars. This discrepancy could be due to i) inaccuracies in the DEM or in other model input data such as soil strength properties; ii) relevant processes for this environmental context that are not included in the model; or iii) the limited validity of the infinite length assumption in the infinite slope stability model embedded in the LAPSUS-LS. The trade-off between a correct prediction of landslides versus stable cells becomes increasingly worse with coarser resolutions; and model performance decreases mainly due to altering slope characteristics. The optimal parameter combinations differ per resolution. In this environmental context the 1 m resolution topography resembles actual topography most closely and landslide locations are better distinguished from stable areas than for coarser resolutions. More gain in model performance could be achieved by adding landslide process complexities and parameter heterogeneity of the catchment.

Item Type:	Article
Divisions:	UNSPECIFIED
CRP:	UNSPECIFIED
Uncontrolled Keywords:	Landslide locations; LAPSUS-LS; New Zealand; DEM resolution; Model performance
Subjects:	Others > Agriculture-Farming, Production, Technology, Economics Others > Climate Change
Depositing User:	Mr Sanat Kumar Behera
Date Deposited:	08 Mar 2013 14:16
Last Modified:	15 Jan 2014 12:12
URI:	http://oar.icrisat.org/id/eprint/6651
Official URL:	http://dx.doi.org/10.1016/j.geomorph.2013.02.012
Projects:	UNSPECIFIED
Funders:	Terrestrial Landscape Change: MARGINS Source-to-Sink New Zealand Programme
Acknowledgement:	In memoriam of Dr. Nicholas J. Preston (1965–2010) who kindly permitted the use of his Hinenui sediment delivery ratio dataset for this research paper to allow continued research in geomorphology. The digitisation of the Hinenui dataset was funded by the Terrestrial Landscape Change: MARGINS Source-to-Sink New Zealand Programme under contract number C05X0705.
Links:	Google Scholar

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