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| Titel |
r.randomwalk v1, a multi-functional conceptual tool for mass movement routing |
| VerfasserIn |
M. Mergili, J. Krenn, H.-J. Chu |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1991-959X
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| Digitales Dokument |
URL |
| Erschienen |
In: Geoscientific Model Development ; 8, no. 12 ; Nr. 8, no. 12 (2015-12-16), S.4027-4043 |
| Datensatznummer |
250116709
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| Publikation (Nr.) |
 copernicus.org/gmd-8-4027-2015.pdf |
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| Zusammenfassung |
| We introduce r.randomwalk, a flexible and multi-functional open-source tool
for backward and forward analyses of mass movement propagation.
r.randomwalk builds on GRASS GIS (Geographic Resources Analysis Support System – Geographic Information System), the R software for statistical computing
and the programming languages Python and C. Using constrained random walks,
mass points are routed from defined release pixels of one to many mass
movements through a digital elevation model until a defined break criterion
is reached. Compared to existing tools, the major innovative features of
r.randomwalk are (i) multiple break criteria can be combined to compute an
impact indicator score; (ii) the uncertainties of break criteria can be
included by performing multiple parallel computations with randomized
parameter sets, resulting in an impact indicator index in the range 0–1;
(iii) built-in functions for validation and visualization of the results are
provided; (iv) observed landslides can be back analysed to derive the
density distribution of the observed angles of reach. This distribution can
be employed to compute impact probabilities for each pixel. Further, impact
indicator scores and probabilities can be combined with release indicator
scores or probabilities, and with exposure indicator scores. We demonstrate
the key functionalities of r.randomwalk for (i) a single event, the Acheron rock avalanche in New Zealand; (ii) landslides in a
61.5 km2 study area in the Kao Ping Watershed, Taiwan; and
(iii) lake outburst floods in a 2106 km2 area in the
Gunt Valley, Tajikistan. |
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