Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A new process - response coastal recession model of soft rock cliffs.
Year:2012
Research Areas
  • Mathematics,
  • Soil science,
  • Oceanography,
  • Geology,
  • Geography,
  • Geomorphology
Information
Abstract
The development of cliff erosion predictive models is limited by the complex interactions between environmental processes and material properties over a range of temporal and spatial scales. Current models incorporate a stochastic representation of cliff behavior based on assumptions regarding the magnitude and frequency of events in a probabilistic framework. The newmodel presented here has been developed to incorporate the behavioral and mechanical characteristics of coastalcliffs which are dominated geologically by overconsolidated clays (tills) and an associated protective colluvial wedge. This model is capable of providing precise and stable responses to some of the inherent uncertainties in cliffrecessionprocesses including those caused by different failure mechanisms e.g. colluvium generation, groundwater and erosive tidal cycles. Material strength is incorporated using the unconfined compressive strength of the material that composes the cliff. Unlike previous models, a calibration parameter is restricted to account for uncertainties linked to marine processes. The mechanisms of cliffline retreat have been identified as slump and topple landslides. Once cliff material has fallen, colluvium formation at the cliff foot is incorporated into the model using three different procedures according to the geomechanical characteristics of the debris. The model is validated through profile evolution assessment at various locations of coastline retreat on the Holderness Coast, UK. Higher groundwater content also produces an increase in the number and size of the slope failures. The results represent an important step-forward in linking material properties to the processes of cliffrecession.
International
Si
JCR
Si
Title
Geomorphology
ISBN
0169-555X
Impact factor JCR
2,352
Impact info
Datos JCR del año 2010
Volume
http://dx.doi.org/10.1016/j.geomorph.2012.07.020
Journal number
From page
1
To page
20
Month
JULIO
Ranking
Participants
  • Autor: Ricardo Castedo Ruiz (UPM)
  • Autor: William Murphy (University of Leeds)
  • Autor: James Lawrence (University of Leeds)
  • Autor: Carlos Paredes Bartolome (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería de Georrecursos y Modelización
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
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