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Graf Isolan
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Untersuchte Arbeit:
Seite: 40, Zeilen: 35-40
Quelle: Soeters and van Westen 1996
Seite(n): 136, 165, Zeilen: 136:left col. 3-7; 165:right col. 18-27
The main problem with deterministic models is their high degree of simplification. A deterministic method that is usually applied for translational slides is the infinite slope model (Ward et al., 1982) since they are simple to use for each pixel separately within the raster GIS environment. Hammond et al. (1992) presented methods in which the variability of the factor of safety is calculated from selected input variables utilizing Monte Carlo techniques. This implies a large number of repeated calculations, which are readily supported by use of a GIS (Soeters and van Westen, 1996).

Hammond, C. J., Prellwitz, R. W., Miller, S. M. (1992): Landslide Hazard Assessment Using Monte Carlo Simulation. In Proc., Sixth International Symposium on Landslides (D. H. Bell, ed.), Christchurch, New Zealand, A. A. Balkema, Rotterdam, Netherlands, Vol. 2, pp 959-964.

Soeters, R., Westen, C. J. van. (1996): Slope instability recognition, analysis, and zonation- Landslides investigation and mitigation. Edited by A. K. Turner and R. L. Schuster, pp 129-177, special report 247, Transportation Research Board, National Research Council, National Academic Press, Washington, DC.

Ward, T. J., Li, R. M., Simons, D. B. (1982): Mapping landslides in forested watersheds. Journal of the Geotechnical engineering Division 8, 319-324.

[Page 136]

The main problem with these methods is their high degree of oversimplification. A deterministic method that is usually applied for translational landslides is the infinite slope model (Ward et al. 1982).

[Page 165]

Most examples deal with infinite slope models, since they are simple to me for each pixel separately (Brass et al. 1989; Murphy and Vita-Finzi 1991; van Westen 1993). Hammond et al. (1992) presented methods in which the variability of the factor of safety is calculated from selected input variables utilizing Monte Carlo techniques. This implies a large number of repeated calculations, which are readily supported by use of a GIS.


Brass, A., G. Wadge, and A.J. Reading. 1989. Designing a Geographical Information System for the Prediction of Landsliding Potential in the West Indies. In Proc., Economic Geology and Geotechnics of Active Tectonic Regions, University College, University of London, April, 13 pp.

Hammond, C.]., R.W. Prellwitz, and S.M. Miller. 1992. Landslide Hazard Assessment Using Monte Carlo Simulation. In Proc., Sixth International Symposium on Landslides (D.H. Bell, ed.), Christchurch, New Zealand, A.A. Balkema, Rotterdam, Netherlands, Vol. 2, pp. 959-964.

Murphy, W., and C. Vita-Finzi. 1991. Landslides and Seismicity: An Application of Remote Sensing. In Proc., Eighth Thematic Conference on Geological Remote Sensing, Denver, Colo., Environmental Research Institute of Michigan, Ann Arbor, Vol. 2, pp. 771-784.

Ward, T.J., L. Ruh-Ming, and D.B. Simons. 1982. Mapping Landslide Hazard in Forest Watershed. Journal of the Geotechnical Engineering Division, ASCE, Vol. 108, No. GT2, pp. 319-324.

Anmerkungen

Although the source is given nothing has been marked as a citation.

In other places Hja refers to the source more correctly as "(Soeters and van Westen, 1996)".

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(Graf Isolan)

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