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Orientador(es)
Resumo(s)
In landslide susceptibility mapping studies, the quality of whole inputs such as geological setting and DEM
derivatives should be as high as possible. Given the strong relationship between landslide occurrences and
geology the use of a detailed lithological map is certainly an alternative preferable to the most commonly
available rough geological map. Therefore, this study focuses on this reality and proposes a procedure for improving
the available geological map in a study area located 90 km North of Lisbon.
Based on a 1:50,000 scaled official geological map and according to the litho-stratigraphic characteristics, the
map improvement was performed using the interpretation of aerial photographs by stereoscopic analysis and
further field validation.
In order to assess the relevance of the lithological improvement regarding the relationships with landslide
distribution, a comparison was performed between the results obtained with the official lithological map and
the improved detailed lithological map using the Conditional Probability (CP), the Accountability (ACC) and
Reliability (RLB) indexes. A landslide inventory, including shallow and deep-seated landslides, was prepared
for the study area and landslideswere overlapped with both lithologicalmaps. The ACC and RLB indexes obtained
with the detailed geological map are higher than equivalent features obtained with the official lithological map.
From these procedures it was possible to conclude that the detailed lithological map has a better discriminating
power than the official lithological map, enabling a better quality of the landslide susceptibility analysiswith the
separation of the relevant lithological classes.
Descrição
Palavras-chave
Landslides Lithology Predisposition Validation
Contexto Educativo
Citação
Henriques, Cristina, Zêzere, José, & Marques, Fernando. (2015). The role of the lithological setting on the landslide pattern and distribution. Engineering Geology, 189, 17-31. https://doi.org/10.1016/j.enggeo.2015.01.025
Editora
Elsevier
