Earthquake-induced reactivation of landslides under variable hydrostatic conditions: evaluation at regional scale and implications for risk assessment

• Published in: Landslides 2022-08, Vol.19 (8), p.2005-2019
• Main Authors: Giannini, Leonardo Maria, Varone, Chiara, Esposito, Carlo, Marmoni, Gian Marco, Scarascia Mugnozza, Gabriele, Schilirò, Luca
• Format: Article
• Language: English
• Subjects: Agriculture; Automation; Civil Engineering; Earth and Environmental Science; Earth Sciences; Earthquake damage; Earthquakes; Environmental risk; Evaluation; Geographical information systems; Geography; Geological hazards; Land use; Land use management; Landslides; Landslides & mudslides; Mitigation; Moisture effects; Natural Hazards; Pressure head; Risk assessment; Risk management; Seismic activity; Seismic hazard; Seismic response; Shaking; Soil moisture; Technical Note
• ISSN: 1612-510X; 1612-5118
• DOI: 10.1007/s10346-022-01882-y

Earthquake-induced landslides represent a significant seismic hazard since they can largely increase the damage and losses due to a seismic event, an issue that must be considered in land-use and risk management purposes. However, it can be difficult to consider all the natural variables, such as geotechnical parameters, that predispose the occurrence of landslides under a specific dynamic triggering, especially for wide areas. Among these, the most important and critical ones to quantify at large scale, are represented by the hydraulic conditions in both unsaturated and saturated media. For this reason, in this work we present a newly developed GIS tool that was specifically designed for the automation of a pseudo-dynamic Newmark model to estimate the co-seismic displacements over wide areas. The tool takes into account reactivations of landslides under different rupture mechanisms and parametrically weighs the role of variable initial soil moisture or pressure head conditions, as well as the influence of ground shaking resulting from local amplification effects. The proposed tool was tested in the Molise region (central-southern Italy), where almost 23,000 existing landslides have been selected for evaluating potential reactivations. The obtained results point out the importance of local conditions on the displacement amount, even by considering a unique return period of the seismic action. Strengths and weaknesses of the proposed model have been also highlighted in view of potential future applications in the framework of co-seismic landslide risk assessment and mitigation measures.