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| Titel |
An efficient workflow to accurately compute groundwater recharge for the study of rainfall-triggered deep-seated landslides, application to the Séchilienne unstable slope (western Alps) |
| VerfasserIn |
A. Vallet, C. Bertrand, O. Fabbri, J. Mudry |
| Medientyp |
Artikel
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| Sprache |
Englisch
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| ISSN |
1027-5606
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| Digitales Dokument |
URL |
| Erschienen |
In: Hydrology and Earth System Sciences ; 19, no. 1 ; Nr. 19, no. 1 (2015-01-22), S.427-449 |
| Datensatznummer |
250120601
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| Publikation (Nr.) |
 copernicus.org/hess-19-427-2015.pdf |
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| Zusammenfassung |
| Pore water pressure build-up by recharge of underground hydrosystems is one
of the main triggering factors of deep-seated landslides. In most
deep-seated landslides, pore water pressure data are not available since
piezometers, if any, have a very short lifespan because of slope movements.
As a consequence, indirect parameters, such as the calculated recharge, are
the only data which enable understanding landslide hydrodynamic behaviour.
However, in landslide studies, methods and recharge-area parameters used to
determine the groundwater recharge are rarely detailed. In this study, the
groundwater recharge is estimated with a soil-water balance based on
characterisation of evapotranspiration and parameters characterising the
recharge area (soil available water capacity, runoff and vegetation
coefficient). A workflow to compute daily groundwater recharge is developed.
This workflow requires the records of precipitation, air temperature,
relative humidity, solar radiation and wind speed within or close to the
landslide area. The determination of the parameters of the recharge area is
based on a spatial analysis requiring field observations and spatial
data sets (digital elevation models, aerial photographs and geological maps).
This study demonstrates that the performance of the correlation with
landslide displacement velocity data is significantly improved using the
recharge estimated with the proposed workflow. The coefficient of
determination obtained with the recharge estimated with the proposed
workflow is 78% higher on average than that obtained with precipitation,
and is 38% higher on average than that obtained with recharge computed
with a commonly used simplification in landslide studies (recharge = precipitation
minus non-calibrated evapotranspiration method). |
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