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Memorias de investigación
Research Publications in journals:
Rockfall detachment susceptibility map in El Hierro island, Canary Islands, Spain.
Year:2012
Research Areas
  • Mathematics,
  • Soil science,
  • Oceanography,
  • Geology,
  • Geography,
  • Geomorphology
Information
Abstract
A semi-quantitative heuristic methodology is developed to map a rockfall detachment susceptibility zonation of El Hierro Island (Canary Archipelago). The rationalized procedure, which we called non-weighted bounded indicators, is based on overlapping thematic maps of conditioning factors to mass movement, which are appropriately and individually rescaled and then composed by addition to obtain a susceptibility numerical index through a GIS. As the consistency of the geomorphological analysis depends on the expert subjective criteria and the appropriate interpretation of the landscape, the use of this methodology reduces subjectivity and quanti?es the degree of susceptibility. The main factors affecting the mass movement phenomena (rockfalls events), also recognized in the ?eld and, therefore, considered in the presented GIS arrangement, are slope, pro?le curvature, lithology, vegetation cover and dykes density. To calculate the slope threshold or minimum angle characteristic of rockfall source areas, mixed Gaussian slope frequency decomposition is used. The curvature index reveals stepwise areas. Qualitative geomechanical characteristics are linked to a quantitative index according to a volcanic lithological-complexes classi?cation. Both destabilization (root-wedging) and stabilization effects are considered into the vegetation cover index. The dyke density index incorporates the bearing rock capacity decrease produced in the halo around a dyke network intrusion. Slope, curvature and vegetation indexes thresholds have been ?tted following ?eld observations. A rockfall detachment susceptibility map is obtained and classi?ed based on the histogram maxima. The rockfall inventory, based on rockfall events reported within the island, was used for the model validation. A 12 % of the whole island shows medium to very high susceptibility.
International
Si
JCR
Si
Title
Natural Hazards
ISBN
0921-030X
Impact factor JCR
1,398
Impact info
Datos JCR del año 2010
Volume
10.1007/s11069-012-0295-1
Journal number
64
From page
1247
To page
1271
Month
JULIO
Ranking
Participants
  • Autor: Marta Fernandez Hernandez (UPM)
  • Autor: Carlos Paredes Bartolome (UPM)
  • Autor: Ricardo Castedo Ruiz (UPM)
  • Autor: Rogelio de la Vega Panizo (UPM)
  • Autor: Miguel Llorente Isidro (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ingeniería de Georrecursos y Modelización
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