Speaker Bio & Abstract

Fabio Villa Partner

BiographyMSc in Environmental Science, Geology PhD, has been working as university researcher since 2003 and as a freelance consultant since 2008, dealing with GIS and geomatics applied to glacier, climate change and high-mountain environment.

He is now partner of IMAGEO srl, dealing with ground and remote surveys, elaboration and analysis of geographic data; he has also a solid experience in coding and developing geo-oriented web services. AbstractLong linear railway corridors often cross areas that are highly susceptible to landslides and even low volume landslips can cause serious problems and may compromise safety. In order to assess the landslides hazard, detailed data such as slope geometry, geotechnical and geomechanical properties of materials, drainage system pattern etc. are needed. Even though thematic datasets are available and easily downloadable for the majority of the Italian territory, their scale is not adequate and ad-hoc input data must be gathered. An original procedure based on geomatics and geomorphometric approach to assess landslide hazard and support remedial works planning along railway lines has been developed and is presented in this paper. Ground and remotely sensed data are processed in order to obtain a wide range of parameters along the railway corridor, from slope geometry to rock mass classification. Multi-Criteria Analysis (MCA) is then used to create a composed and spatially distributed index of landslide hazard, based on normalized values of triggering factors Such index is used to classify both trenches and natural slopes along the railway corridor, supporting decision-makers in defining the most appropriate mitigation measures and planning their implementation. This method has been successfully applied to hundreds km of railway lines in Central Italy.