Factors Explaining the Spatial Distribution of Hillslope Debris Flows

Lorente, Adrián; García‐Ruiz, José María; Beguerı́a, Santiago; Vadillo, José Arnáez

doi:10.1659/0276-4741(2002)022[0032:fetsdo]2.0.co;2

Cited by 78 publications

(29 citation statements)

References 19 publications

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“…The other soil parameters were evaluated as, for soils 1 and 2: soil cohesion 4.42 and 4.13 kPa; angle of friction 29.8° and 29.7°. Depth to the shear surface was set at 0.85 m. Landslides were precluded from occurring at slopes less than 25° and more than 50°, in good general agreement with the survey of Lorente et al (2002) which showed most debris flows to be on 2035° gradients. Landslides which occurred in the first 24 hours of the simulation were eliminated as indicating squares defined as unconditionally unsafe.…”

Section: Landslide Calibrationsupporting

confidence: 60%

“…The scenario results can all be explained by physical reasoning. In addition they match the analysis by Lorente et al (2002) of debris flow occurrence in the flysch sector containing the Ijuez catchment. This analysis found the distribution of debris flows to be higher in reforested areas (31%), shrublands (24%) and areas with natural pine forest (20%) compared with meadow lands (7%).…”

Section: Scenario Simulationsmentioning

confidence: 65%

“…The 45-km 2 Ijuez catchment was selected as a test area because it lies in the calcareous flysch sector of the central Spanish Pyrenees, which was the focus for regional hazard assessment modelling in the DAMOCLES project (Lorente et al, 2002(Lorente et al, , 2003. A particular reason for selecting the catchment was that, at the time, it contained 60100 debris flow sites.…”

Section: The Ijuez Catchmentmentioning

confidence: 99%

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Modelling the impact of forest loss on shallow landslide sediment yield, Ijuez river catchment, Spanish Pyrenees

Bathurst¹,

Moretti²,

El-Hames³

et al. 2007

Hydrol. Earth Syst. Sci.

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The SHETRAN model for simulating the sediment yield arising from shallow landslides at the scale of a river catchment was applied to the 45-km 2 Ijuez catchment in the central Spanish Pyrenees, to investigate the effect of loss of forest cover on landslide and debris flow incidence and on catchment sediment yield. The application demonstrated how such a model, with a large number of parameters to be evaluated, can be used even when directly measured data are not available: rainfall and discharge time series were generated by reference to other local records and data providing the basis for a soil map were obtained by a short field campaign. Uncertainty bounds for the outputs were determined as a function of the uncertainty in the values of key model parameters. For a four-year period and for the existing forested state of the catchment, a good ability to simulate the observed long term spatial distribution of debris flows (represented by a 45-year inventory) and to determine catchment sediment yield within the range of regional observations was demonstrated. The lower uncertainty bound on simulated landslide occurrence approximated the observed annual rate of landsliding and suggests that landslides provide a relatively minor proportion of the total sediment yield, at least in drier years. A scenario simulation in which the forest cover was replaced by grassland indicated an increase in landsliding but a decrease in the number of landslides which evolve into debris flows and, at least for drier years, a reduction in sediment delivery to the channel network.

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Section: Landslide Calibrationsupporting

confidence: 60%

Section: Scenario Simulationsmentioning

confidence: 65%

Section: The Ijuez Catchmentmentioning

confidence: 99%

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Modelling the impact of forest loss on shallow landslide sediment yield, Ijuez river catchment, Spanish Pyrenees

Bathurst¹,

Moretti²,

El-Hames³

et al. 2007

Hydrol. Earth Syst. Sci.

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“…Glade 2003). Forest clearing, for example, may dramatically accelerate shallow landsliding in steep terrain (e. g. Montgomery et al 2000;Lorente et al 2002;Barthurst et al 2007). In general, however, susceptibility to mass movements is mainly controlled by the local lithology and (especially) topography (e.g.…”

Section: Mass Movementsmentioning

confidence: 99%

A comparison of measured catchment sediment yields with measured and predicted hillslope erosion rates in Europe

et al. 2012

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Purpose: This study aims to understand better the relationship between measured soil loss rates due to sheet and rill erosion (SL), predicted SL rates and measured catchment sediment yields (SY) in Europe.2 Materials and methods: Analyses were based on a recently established database of measured annual SY for 1794 catchments, a database of 777 annual SL rates measured on runoff plots, and two recent maps of predicted sheet and rill erosion rates in Europe (i.e. one based on empirical extrapolations of measured SL data, and one based on the PESERA model). To identify regional trends, all data were grouped into eight climatic zones.Results and discussion: Measured SL rates are generally a factor of five to 10 times larger than predicted SL rates and are strongly biased towards erosion-prone situations in terms of land use. Also measured SY are generally higher than predicted SL rates, especially in the Mediterranean and Alpine regions where SY is generally 10 times higher than predicted SL rates. This illustrates the importance of other erosion processes contributing to SY. Regional differences in the importance of these processes and their implications are discussed. Conclusions:This study confirms previous findings indicating the relatively low sheet and rill erosion rates compared to SY in the Mediterranean region, and illustrates the importance of other erosion processes contributing to SY in most regions of Europe. This indicates that hillslope erosion rates cannot be used directly to estimate SY, and consequently soil conservation programmes should focus more on the dominant erosion processes in each catchment.

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“…La pendiente media se aproxima al 20% y las mayores pendientes (43%) se localizan en laderas con exposición norte. El sustrato geológico sobre el que se asienta está formado por dos grandes unidades: (i) en la parte superior predomina el flysch eoceno surpirenaico, constituido por una alternancia de areniscas carbonatadas y margas, afectado por pequeños deslizamientos que en algunas ocasiones pueden dar lugar a grandes movimientos en masa (Lorente et al, 2002); (ii) en la parte baja y media predomina la marga de Larrés, compuesta principalmente por minerales arcillosos (44% de illita y clorita), carbonatos, con un elevado contenido de calcita y dolomita (41%) y cuarzo (15%). Además, se pueden observar pequeñas capas de areniscas y núcleos de concreciones carbonatadas.…”

Section: áRea De Estudiounclassified

Funcionamiento hidrológico de una pequeña cuenca de montaña con morfologías acarcavadas en el Pirineo Central

Nadal‐Romero

Regüés

Latron

et al. 2013

CIG

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Factors Explaining the Spatial Distribution of Hillslope Debris Flows

Cited by 78 publications

References 19 publications

Modelling the impact of forest loss on shallow landslide sediment yield, Ijuez river catchment, Spanish Pyrenees

Modelling the impact of forest loss on shallow landslide sediment yield, Ijuez river catchment, Spanish Pyrenees

A comparison of measured catchment sediment yields with measured and predicted hillslope erosion rates in Europe

Funcionamiento hidrológico de una pequeña cuenca de montaña con morfologías acarcavadas en el Pirineo Central

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