The Sant'Andrea-Molinello landslide system (Mt. Pruno, Roscigno, Italy

Valiante, Mario; Bozzano, Francesca; Guida, Domenico

doi:10.3301/rol.2016.132

Cited by 5 publications

(4 citation statements)

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“…In Cilento, there are numerous infrastructures such as roads, but risk mitigation in order to conserve these landforms would entail huge economic costs. Zoning regulations could help to protect the area, as the result of a detailed knowledge of the landscape and its space-time evolution [90]. To this end, efforts should be made to adopt multidisciplinary approaches that use innovative topographic and geo-morphometric analyses that enable us to develop a detailed digital geomorphological map and enhance our spatio-temporal knowledge.…”

Section: Discussionmentioning

confidence: 99%

Terrestrial and Marine Landforms along the Cilento Coastland (Southern Italy): A Framework for Landslide Hazard Assessment and Environmental Conservation

Guida

Valente

2019

Water

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This study shows the terrestrial and marine landforms present along the Cilento coast in the southern part of the Campania region (Italy). This coast is characterized by the alternation of bays, small beaches, and rocky headlands. In the adjacent submerged areas, there is a slightly inclined platform that has a maximum width of 30 km to the north, while it narrows in the south to approximately 6 km. A wide variety of landforms are preserved in this area, despite the high erodibility of the rocks emerging from the sea and the effects of human activities (construction of structures and infrastructures, fires, etc.). Of these landforms, we focused on those that enabled us to determine Quaternary sea-level variations, and, more specifically, we focused on the correlation between coastal and sea-floor topography in order to trace the geomorphological evolution of this coastal area. For this purpose, the Licosa Cape and the promontory of Ripe Rosse located in northern Cilento were used as reference areas. Methods were used that enabled us to obtain a detailed digital cartography of each area and consequently to apply physical-based coastal evolution models. We believe that this approach would provide a better management of coastal risk mitigation which is likely to become increasingly important in the perspective of climate change.

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Section: Discussionmentioning

confidence: 99%

Terrestrial and Marine Landforms along the Cilento Coastland (Southern Italy): A Framework for Landslide Hazard Assessment and Environmental Conservation

Guida

Valente

2019

Water

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“…Moreover, considering that the destructive impact of landsides is often due to complex overlaps and interaction of different type of slope movements rather than a single one (Cascini et al, 2008;Valiante et al, 2016). Considering that the standard inventory archiving and mapping formats are unable to handle this complexity, the currently used methods are generally unable for assessing landslide risk at site level.…”

Section: The Object-based Landslide Inventory Mapping Systemmentioning

confidence: 99%

Object-Oriented Mapping as a Tool for the Assessment of Landslide Hazard in Higly Urbanized Areas

2022

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The assessment and mitigation of landslide risk affecting hillslopes in highly urbanized and infrastructured environments are often problematic due to the inadequacy of the traditional approach based on landslide inventories and the absence of a shared language between the different scientific-technical operators (geologists, engineers, architects, environmentalists, economists, jurists) and recurrent understanding problems with policymakers, stakeholders, and property owners. Therefore, innovative technologies and working procedures are required to address these problems. In this context, the European INSPIRE Directive and the Italian national Catalog of Territorial Data with the related Geo-Topographic DB provide positive responses in terms of data standardization and transdisciplinary interoperability. On the other hand, the application of the object-oriented geomorphological mapping of landslides and, even more, the recently proposed Landslide Object-Oriented Model (LOOM) make it possible to develop a more thorough approach to assess the spatial and temporal relationships between landslides and affected slopes. Following the above perspective, the InterUniversity Research Center for Prevision and Prevention of Great Risks (C.U.G.RI.) produced the LOOM-based “eventory” of landslides over a sector of the Tyrrhenian coastal belt, northwest of Salerno city, in the framework of a multi-disciplinary investigation project launched by the Campania Regional Administration to assess the landslide risk. The quantitative assessment of the geomorphological expert-judgment procedures has been carried out exploiting morphometric indexes: the Topographic Position Index (TPI) for automatic slope features recognition, and the Slope-Area plots for surficial process domains. Furthermore, the application of the INSPIRE, and related Italian National Geo-Topographic DB standards allowed transdisciplinary interaction between scientists, technicians, and managers. Such proposal can support the risk management procedure, adding in the Value Judgement and Risk Tolerance Criteria simplicity and effective interoperability in trans-disciplinary frameworks.

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“…In this framework, sometimes structures or infrastructures are faced with complex arrangements of landslides rather than a single movement (Barredo et al 2000;Schädler et al 2015;Uzielli et al 2015;Bozzano et al 2016). Such complexity can be related to different spatiotemporal arrangements of landslides: there can be a frequent occurrence of phenomena in a relatively small area (Corbi et al 1996;Crozier 2010;Berti et al 2013), or the spatial overlap of successive landslide occurrences, like converging flow-like movements (Cascini et al 2008;Schädler et al 2015), or relatively shallower phenomena developed over deep-seated movements (Guida et al 1987;Guerricchio et al 2000;Murillo-García et al 2015), or partial mobilizations of previous landslides in nested structures (Lee et al 2001), or various superimpositions of different landslide types (Stefanini 2004;Guida et al 2006;Valiante et al 2016). Overlapping landslides derive from the temporal sequence of events and some authors also suggested the concept of path dependency for landslide susceptibility analysis, stating that preexisting landslides could be a predisposing factor for future phenomena (Samia et al 2017a, b).…”

Section: Introductionmentioning

confidence: 99%

“…Successively, the authors extended the description of landslides associations (set) based on movement types and state of activity (Guida et al 1995). Since then, such classification scheme and terminology has been used for the description of complex arrangement of landslide set on wide areas in southern Italy, specifically in emergency management and landslide hazard assessment (Guida et al 2006;Coico 2010;Left Sele River Basin Authority 2012;Coico et al 2013;Valiante et al 2016).…”

Section: Introductionmentioning

confidence: 99%

A spatiotemporal object-oriented data model for landslides (LOOM)

et al. 2020

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LOOM (landslide object-oriented model) is here presented as a data structure for landslide inventories based on the object-oriented paradigm. It aims at the effective storage, in a single dataset, of the complex spatial and temporal relations between landslides recorded and mapped in an area and at their manipulation. Spatial relations are handled through a hierarchical classification based on topological rules and two levels of aggregation are defined: (i) landslide complexes, grouping spatially connected landslides of the same type, and (ii) landslide systems, merging landslides of any type sharing a spatial connection. For the aggregation procedure, a minimal functional interaction between landslide objects has been defined as a spatial overlap between objects. Temporal characterization of landslides is achieved by assigning to each object an exact date or a time range for its occurrence, integrating both the time frame and the event-based approaches. The sum of spatial integrity and temporal characterization ensures the storage of vertical relations between landslides, so that the superimposition of events can be easily retrieved querying the temporal dataset. The here proposed methodology for landslides inventorying has been tested on selected case studies in the Cilento UNESCO Global Geopark (Italy). We demonstrate that the proposed LOOM model avoids data fragmentation or redundancy and topological inconsistency between the digital data and the real-world features. This application revealed to be powerful for the reconstruction of the gravity-induced deformation history of hillslopes, thus for the prediction of their evolution.

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The Sant'Andrea-Molinello landslide system (Mt. Pruno, Roscigno, Italy

Cited by 5 publications

References 0 publications

Terrestrial and Marine Landforms along the Cilento Coastland (Southern Italy): A Framework for Landslide Hazard Assessment and Environmental Conservation

Terrestrial and Marine Landforms along the Cilento Coastland (Southern Italy): A Framework for Landslide Hazard Assessment and Environmental Conservation

Object-Oriented Mapping as a Tool for the Assessment of Landslide Hazard in Higly Urbanized Areas

A spatiotemporal object-oriented data model for landslides (LOOM)

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