The role of land use changes in the distribution of shallow landslides

Persichillo, Maria Giuseppina; Bordoni, Massimiliano; Meisina, Claudia

doi:10.1016/j.scitotenv.2016.09.125

Cited by 134 publications

(95 citation statements)

References 29 publications

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“…Other land use classes are present in a percentage lower than 5%. This abandonment was due to the conversion from manual to mechanical cultivation practices, that increased the difficulties in the maintenance of vineyards, especially for those located on very steep slopes (> 25°) (Persichillo et al, 2017).…”

Section: The Study Areamentioning

confidence: 99%

“…Moreover, societal changes, together with the decreasing number of people 25 actively cultivating the area, caused a reduction in land care practices and maintenance works in both abandoned and still cultivated vineyards (Persichillo et al, 2017(Persichillo et al, , 2018.…”

Section: The Study Areamentioning

confidence: 99%

“…A detailed inventory map of the road sectors affected by shallow landslides in the study area was prepared and used as response color aerial photographs at a resolution of 15 cm acquired immediately after the event were examined (Persichillo et al, 2017).…”

Section: Response Variablementioning

confidence: 99%

“…However, land use changes can have significant impacts both on the locations of landslides 20 triggering zones (Glade, 2003;Begueria, 2006;Reichenbach et al, 2014;Persichillo et al, 2017) and on the connectivity of the mobilized sediments (Foerster et al, 2014;Lopez-Vicente et al, 2013. Thus, susceptibility scenarios of different land use distributions may allow to identify land management practices able to reduce the slope instability which can induce damages to roads.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni¹,

Persichillo²,

Meisina³

et al. 2018

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Abstract. Landslides causes severe damages to the road network of a hit zone, in terms of both direct (partial or complete destruction of a road trait, blockages) and indirect (traffic restriction, cut-off of a certain area) costs. Thus, the identification of the parts of the road network which are more susceptible to landslides is fundamental to reduce the risk to the population potentially exposed and the money expense caused by road damaging. For these reasons, this paper aimed to develop and test a data-driven model based on the Genetic Algorithm Method for the identification of road sectors that are susceptible to be hit 15 by shallow landslides triggered in slopes upstream to the infrastructure. This work also analyzed the importance of considering or not the sediment connectivity on the estimation of the susceptibility. The study was carried out in a catchment of northeastern Oltrepò Pavese (northern Italy), where several shallow landslides affected roads in the last 8 years. The random partition of the dataset used for building the model in two parts (training and test subsets), within a 100-fold bootstrap procedure, allowed to select the most significant explanatory variables, providing a better description of the occurrence and 20 distribution of the road sectors potentially susceptible to damages induced by shallow landslides. The presented methodology allows the identification, in a robust and reliable way, of the most susceptible road sectors that could be hit by sediments delivered by landslides. The best predictive capability was obtained using a model which took into account also the index of connectivity, calculated according to a linear relationship. Most susceptible road traits resulted to be located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. Different scenarios of land use were implemented 25 in order to estimate possible changes in road susceptibility. Land use classes of the study area were characterized by similar connectivity features with a consequent loss of variations also on the susceptibility of the road networks according to different scenarios of distribution of land cover. Larger effects on sediment connectivity and, as a consequence on road susceptibility, could be due to modifications in the morphology of the slopes (e.g. drainage system, modification of the slope angle) caused by the abandonment or by the recovery of cultivations. The results of this research demonstrate the ability of the developed 30 methodology in the assessment of susceptible roads. This could give to the managers of an infrastructure information on the Nat. Hazards Earth Syst. Sci. Discuss., https://doi.org/10.5194/nhess-2017-457 Manuscript under review for journal Nat. Hazards Earth Syst. Sci. Discussion started: 24 January 2018 c Author(s) 2018. CC BY 4.0 License. 2 criticality of the different road traits, thereby allowing attention and economic budgets to be shifted towards the most critical assets, where structural and non-structural mitigation mea...

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Section: The Study Areamentioning

confidence: 99%

Section: The Study Areamentioning

confidence: 99%

Section: Response Variablementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity

Bordoni¹,

Persichillo²,

Meisina³

et al. 2018

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…Certain land use and land cover changes (LUCC) increase the number of unstable slopes (Reichenbach et al, 2014), i.e., 25 promoting the propensity to landslide occurrence (e.g. deforestation, slope ruptures to roads construction, steep slopes), and can have an important impact on landslide activity (Beguería, 2006;Glade, 2003;Mugagga et al, 2012;Persichillo et al, 2017;van Westen et al, 2008). In short, the LUC, Nat.…”

Section: Introductionmentioning

confidence: 99%