Effect of support size on the accuracy of a distributed rockfall model

Authors: L. K. A. Dorren1; G. B. M. Heuvelink1

Source: International Journal of Geographical Information Science, Volume 18, Number 6, September 2004 , pp. 595-609(15)

Publisher: Taylor and Francis Ltd

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Abstract:

It is investigated whether a GIS-based distributed model developed for rockfall assessment at slope scale, which uses data with a support of 2.5×2.5 m, could be used for rockfall assessment at the regional scale, using input data with a support of 25×25 m and of poorer quality. It was anticipated that in the latter case the model error would increase. Three types of simulations were applied to the same model and the outcomes were validated with field data. The first simulation used input data with a support of 2.5×2.5 m and aggregated the output to a support of 25×25 m. The second simulation used the same input data as in the first simulation, but these data were aggregated to a support of 25×25 m before running the model. The third simulation used input data of poorer quality obtained at a support of 25×25 m. The results show that simulating the maximum extent of rockfall runout zones with a distributed model using data with a support of 25×25 m is realistic and feasible. This is also true for data with poorer quality as the third simulation resulted in a slightly larger mean-squared error than the first simulation. Surprisingly, it also gave a smaller error than the second simulation. We investigated the cause of the large error produced by the second simulation and concluded that this was mainly caused by the combination of a high-quality digital elevation model and the loss of spatial structure in the input data due to spatial aggregation.

Document Type: Research article

DOI: 10.1080/13658810410001703804

Affiliations: 1: Laboratory of Soil Science and Geology Wageningen University PO Box 37 NL-6700 AA Wageningen The Netherlands, Email: gerard.heuvelink@wur.nl

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