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The influence of land use change on landslide susceptibility zonation: the Briga catchment test site (Messina, Italy).

Reichenbach P, Busca C, Mondini AC, Rossi M - Environ Manage (2014)

Bottom Line: 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.Differences in the susceptibility models were analyzed and quantified to evaluate the effects of land use change on the susceptibility zonation.

View Article: PubMed Central - PubMed

Affiliation: Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, Perugia, Italy, Paola.Reichenbach@irpi.cnr.it.

ABSTRACT
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.

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pp-plots and maps show for each slope unit of the CM models (Fig. 4), the difference between the probability values obtained using the 2009 and the 1954 land use maps. In the pp-plots, dark green and dark pinkpoints represent SU classified as stable or unstable in both models whether light green and light pink points SU with different classification. Numbers in the pp-plots show the count of points (Color figure online)
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Fig5: pp-plots and maps show for each slope unit of the CM models (Fig. 4), the difference between the probability values obtained using the 2009 and the 1954 land use maps. In the pp-plots, dark green and dark pinkpoints represent SU classified as stable or unstable in both models whether light green and light pink points SU with different classification. Numbers in the pp-plots show the count of points (Color figure online)

Mentions: To evaluate the agreement and the difference between the models prepared using the 2009 and the 1954 land use maps, for each threshold (2, 5, and 10 %) we computed a pp-plot (probability–probability plot) comparing for each slope unit the probability value obtained for the CM zonation. Figure 5 illustrates pp-plots and maps showing for each slope unit the difference between the susceptibility models prepared using the 2009 and the 1954 land use maps.Fig. 5


The influence of land use change on landslide susceptibility zonation: the Briga catchment test site (Messina, Italy).

Reichenbach P, Busca C, Mondini AC, Rossi M - Environ Manage (2014)

pp-plots and maps show for each slope unit of the CM models (Fig. 4), the difference between the probability values obtained using the 2009 and the 1954 land use maps. In the pp-plots, dark green and dark pinkpoints represent SU classified as stable or unstable in both models whether light green and light pink points SU with different classification. Numbers in the pp-plots show the count of points (Color figure online)
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4232744&req=5

Fig5: pp-plots and maps show for each slope unit of the CM models (Fig. 4), the difference between the probability values obtained using the 2009 and the 1954 land use maps. In the pp-plots, dark green and dark pinkpoints represent SU classified as stable or unstable in both models whether light green and light pink points SU with different classification. Numbers in the pp-plots show the count of points (Color figure online)
Mentions: To evaluate the agreement and the difference between the models prepared using the 2009 and the 1954 land use maps, for each threshold (2, 5, and 10 %) we computed a pp-plot (probability–probability plot) comparing for each slope unit the probability value obtained for the CM zonation. Figure 5 illustrates pp-plots and maps showing for each slope unit the difference between the susceptibility models prepared using the 2009 and the 1954 land use maps.Fig. 5

Bottom Line: 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.Differences in the susceptibility models were analyzed and quantified to evaluate the effects of land use change on the susceptibility zonation.

View Article: PubMed Central - PubMed

Affiliation: Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, Perugia, Italy, Paola.Reichenbach@irpi.cnr.it.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus