Multidisciplinaty approach to landslide: the Rio Badde Manna and Rio Banari river basin, NW Sardinia, Italia
Academic Article
Publication Date:
2008
Short description:
Multidisciplinaty approach to landslide: the Rio Badde Manna and Rio Banari river basin, NW Sardinia, Italia / Ghiglieri, G; Dangelo, M; Dore, M; Madrau, Salvatore; Musinu, S.. - In: GEOLOGIA TECNICA & AMBIENTALE. - ISSN 1722-0025. - 2-4/06:(2008), pp. 31-39.
abstract:
This study presents and discusses the application of a multidisciplinary method for flood and
landslide susceptibility assessment. It is conducted on a quantitative basis and comprises:
– a parametric evaluation of the geo-environmental factors influencing susceptibility tendency;
– zonation and parametrization of natural and anthropogenic factors using experimental data;
– assignment of numerical weight to the homogeneized parameters;
– ultimate assessment of susceptibility proneness overlaying the basic thematic maps and
map rendering in a GIS environment.
The multidisciplinary parametric method developed in a GIS environment is an efficient tool for
determining flood and landslide proneness and is applied in various regional contexts in Italy.
The methodology has been widely studied by applying, testing and adapting it to the
peculiarities of Sardinian terrains. It is based on the field data and on reconnaissance surveys
to gather data regarding regional setting, environmental processes, human/environment
interaction and so forth. It takes cue from models already tested but innovatively differs from
these in its attempt to evaluate the parameters considered more objectively. In this sense
aerial photointerpretation and in situ data control for the land use factor assigning weights to
agricultural practices and analysis of soil samples proved essential. The proposed model has
been validated through comparison with areas historically affected by floods and landslides.
This paper intends to highlight the importance of a multidisciplinary approach to natural
susceptibility assessment for operational validation of the basin scale model, repeatable for
other regional contexts and usable by professionals in this sector.
landslide susceptibility assessment. It is conducted on a quantitative basis and comprises:
– a parametric evaluation of the geo-environmental factors influencing susceptibility tendency;
– zonation and parametrization of natural and anthropogenic factors using experimental data;
– assignment of numerical weight to the homogeneized parameters;
– ultimate assessment of susceptibility proneness overlaying the basic thematic maps and
map rendering in a GIS environment.
The multidisciplinary parametric method developed in a GIS environment is an efficient tool for
determining flood and landslide proneness and is applied in various regional contexts in Italy.
The methodology has been widely studied by applying, testing and adapting it to the
peculiarities of Sardinian terrains. It is based on the field data and on reconnaissance surveys
to gather data regarding regional setting, environmental processes, human/environment
interaction and so forth. It takes cue from models already tested but innovatively differs from
these in its attempt to evaluate the parameters considered more objectively. In this sense
aerial photointerpretation and in situ data control for the land use factor assigning weights to
agricultural practices and analysis of soil samples proved essential. The proposed model has
been validated through comparison with areas historically affected by floods and landslides.
This paper intends to highlight the importance of a multidisciplinary approach to natural
susceptibility assessment for operational validation of the basin scale model, repeatable for
other regional contexts and usable by professionals in this sector.
Iris type:
1.1 Articolo in rivista
Keywords:
landslide susceptibility, multidisciplinary parametric method, GIS, Sardinia-Italy; Propensione dissesto idrogeologico, metodo multidisciplinare parametrico, GIS,
List of contributors:
Ghiglieri, G; Dangelo, M; Dore, M; Madrau, Salvatore; Musinu, S.
Published in: