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Titel |
Forecasting the behaviour of complex landslides with a spatially distributed hydrological model |
VerfasserIn |
J.-P. Malet, Th. W. J. Asch, R. Beek, O. Maquaire |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1561-8633
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Digitales Dokument |
URL |
Erschienen |
In: Natural Hazards and Earth System Science ; 5, no. 1 ; Nr. 5, no. 1 (2005-01-06), S.71-85 |
Datensatznummer |
250002193
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Publikation (Nr.) |
copernicus.org/nhess-5-71-2005.pdf |
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Zusammenfassung |
The relationships between rainfall, hydrology and landslide movement are
often difficult to establish. In this context, ground-water flow analyses
and dynamic modelling can help to clarify these complex relations, simulate
the landslide hydrological behaviour in real or hypothetical situations, and
help to forecast future scenarios based on environmental change. The primary
objective of this study is to investigate the possibility of including more
temporal and spatial information in landslide hydrology forecasting, by
using a physically based spatially distributed model. Results of the
hydrological and geomorphological investigation of the Super-Sauze
earthflow, one of the persistently active landslide occurring in clay-rich
material of the French Alps, are presented. Field surveys, continuous
monitoring and interpretation of the data have shown that, in such material,
the groundwater level fluctuates on a seasonal time scale, with a strong
influence of the unsaturated zone. Therefore a coupled unsaturated/saturated
model, incorporating Darcian saturated flow, fissure flow and meltwater flow
is needed to adequately represent the landslide hydrology. The conceptual
model is implemented in a 2.5-D spatially distributed hydrological model.
The model is calibrated and validated on a multi-parameters database
acquired on the site since 1997. The complex time-dependent and
three-dimensional groundwater regime is well described, in both the short-
and long-term. The hydrological model is used to forecast the future
hydrological behaviour of the earthflow in response to potential
environmental changes. |
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