Air-fall pyroclastic deposits on steep slopes in Campania (Southern Italy) are periodically subjected to rainfall-induced landslides that may evolve into catastrophic flowslides. To protect built-up areas, early warning systems (EWSs) have been implemented which are essentially based on pluviometric thresholds or models unable to accurately monitor the physical phenomena responsible for flowslide generation in pyroclastic deposits. Over the last 20 years, landslides with no evolution in flows occurred in this area and the alarms generated by existing EWSs in the cases of rainfall were both false and highly costly, thus eroding public trust in EWSs. To improve existing EWSs, two complex models for pyroclastic soils (Cervinara and Sarno) are proposed in this paper. These two models allow correct simulation of the physical processes, such as saturation increase due to rainwater infiltration and mechanical degradation as far as undrained instability, which govern postfailure evolution. The paper concludes with the presentation of a framework proposal to be used in defining a soil database, as well as a framework for flowslide generation forecast to be used for implementation within EWSs.
Abstract. This paper proposes a Multidisciplinary Decision Support System (MDSS) as an approach to manage rainfallinduced shallow landslides of the flow type (flowslides) in pyroclastic deposits. We stress the need to combine information from the fields of meteorology, geology, hydrology, geotechnics and economics to support the agencies engaged in land monitoring and management. The MDSS consists of a "simulation chain" to link rainfall to effects in terms of infiltration, slope stability and vulnerability. This "simulation chain" was developed at the Euro-Mediterranean Centre for Climate Change (CMCC) (meteorological aspects), at the Geotechnical Laboratory of the Second University of Naples (hydrological and geotechnical aspects) and at the Department of Economics of the University of Naples "Federico II" (economic aspects). The results obtained from the application of this simulation chain in the Cervinara area during eleven years of research allowed in-depth analysis of the mechanisms underlying a flowslide in pyroclastic soil.
Abstract:The paper presents a Multidisciplinary Decision Support System (MDSS) to analyse rainfall-induced shallow flowslides on steep slopes covered by pyroclastic deposits. This system proposes an approach to provide technical information to the agencies responsible for civil protection and land management about the link between forecasted rainfall and the effects in terms of infiltration, slope stability, vulnerability and mitigation policy. This approach was developed at the Euro-Mediterranean Centre for Climate Change (CMCC) (meteorological aspects), at the Department of Civil Engineering of the Second University of Naples (hydrological and geotechnical aspects) and at the Department of Economics of the University of Naples "Federico II" (socio-economic aspects). It has been designed as a multidisciplinary approach which simultaneously addresses the issues from different points of view, providing a comparison and integration of the different skills. The potentiality of this approach is presented for the case of the flowslide of Cervinara (Southern Italy).
The development of innovative EWS, SHM and SHMR Systems is essential to prevent the occurrence of potentially dangerous events on engineering works, buildings and in the natural environment. Their effectiveness can be improved by using new generation sensors able to realize widespread, low-cost monitoring at increasing spatial and temporal resolution. The main aim of the research is, therefore, to develop a versatile strain transducer capable of monitoring elements of different nature such as slopes, buildings and linear infrastructures performing distributed real-time measurements. The paper introduces a New Smart Hybrid Transducer (NSHT), a strain transducer belonging to the Distributed Optical Fiber Sensors (DOFS) family, appositely designed to overcome the drawbacks of traditional solutions. An experimental laboratory setup was arranged to test its reliability and a comparison between measurements retrieved by the NSHT and traditional devices were done. The results showed that the NSHT is able to perform strain monitoring with spatial resolution as high as 5cm and accuracy comparable to that of the traditional devices. Finally, an ISGMS (Integrated Structural and Geotechnical Monitoring System) architecture based on its use is proposed for the Petacciato site, where a deep-seated landslide affects the historical town and some infrastructures. To realize a single communication line in such a complex monitoring system, where multiple elements have to be monitored, a specific tool was also designed and tested, that allows the exact spatial identification of the various elements under observation. Although on-site validation is needed, these early results are encouraging and demonstrate that the NSHT is a low-cost transducer with great potential and that, looking forward, it can be used to increase the effectiveness of the existing EW, SHM and SHMR Systems. The development of systems involving NSHT also follows the new approach to innovation policy contributing to different points of the 2030 Agenda.
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