DOI: 10.5194/hess-19-427-2015
Scopus记录号: 2-s2.0-84921468291
论文题名: 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)
作者: Vallet A ; , Bertrand C ; , Fabbri O ; , Mudry J
刊名: Hydrology and Earth System Sciences
ISSN: 10275606
出版年: 2015
卷: 19, 期: 1 起始页码: 427
结束页码: 449
语种: 英语
Scopus关键词: Evapotranspiration
; Groundwater
; Landslides
; Pore pressure
; Pressure distribution
; Soil moisture
; Sun
; Water
; Wind
; Coefficient of determination
; Deep seated landslide
; Digital elevation model
; Displacement velocity
; Ground water recharge
; Pore-water pressures
; Soil available waters
; Vegetation coefficients
; Recharging (underground waters)
; computer simulation
; data set
; earthquake trigger
; evapotranspiration
; groundwater
; hydrodynamics
; landslide
; piezometer
; precipitation (climatology)
; rainfall
; recharge
; slope dynamics
; soil water
; Alps
英文摘要: 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). © Author(s) 2015. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/78630
Appears in Collections: 气候变化事实与影响
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作者单位: UMR6249 - Chrono-Environnement, Université de Franche-Comté, 16 route de Gray, Besançon cedex, France
Recommended Citation:
Vallet A,, Bertrand C,, Fabbri O,et al. 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)[J]. Hydrology and Earth System Sciences,2015-01-01,19(1)