Influence of Land Use Change on Landslide Susceptibility Zonation: The Briga Catchment Test Site (Messina, Italy)

• Published in: Environmental management (New York) 2014-12, Vol.54 (6), p.1372-1384
• Main Authors: Reichenbach, P, Busca, C, Mondini, A. C, Rossi, M
• Format: Article
• Language: English
• Subjects: Aerial photography; Aquatic Pollution; Atmospheric Protection/Air Quality Control/Air Pollution; Catchments; Classification; Climatic conditions; climatic factors; Conservation of Natural Resources; Digitization; Earth and Environmental Science; Ecology; Environment; Environmental Management; Environmental Monitoring; Failure; Forestry Management; Geographic Mapping; Geological Phenomena; Hydrology; Italy; Land use; land use change; Landslides; Landslides & mudslides; Lithology; Models, Theoretical; Morphology; Nature Conservation; Rain; Risk Assessment - methods; Satellite systems; Slopes; Soil; Spatial distribution; Statistical analysis; Topography; Waste Water Technology; Water Management; Water Pollution Control; watersheds; Zonation
• ISSN: 0364-152X; 1432-1009
• DOI: 10.1007/s00267-014-0357-0

The spatial distribution of landslides is influenced by different climatic conditions and environmental settings including topography, morphology, hydrology, lithology, and land use. In this work, we have attempted to evaluate the influence of land use change on landslide susceptibility (LS) for a small study area located in the southern part of the Briga catchment, along the Ionian coast of Sicily (Italy). On October 1, 2009, the area was hit by an intense rainfall event that triggered abundant slope failures and resulted in widespread erosion. After the storm, an inventory map showing the distribution of pre-event and event landslides was prepared for the area. Moreover, two different land use maps were developed: the first was obtained through a semi-automatic classification of digitized aerial photographs acquired in 1954, the second through the combination of supervised classifications of two recent QuickBird images. Exploiting the two land use maps and different land use scenarios, LS zonations were prepared through multivariate statistical analyses. Differences in the susceptibility models were analyzed and quantified to evaluate the effects of land use change on the susceptibility zonation. Susceptibility maps show an increase in the areal percentage and number of slope units classified as unstable related to the increase in bare soils to the detriment of forested areas.