Abstract
The prediction of landslide displacements is an important issue for the management of areas characterized by a high susceptibility to geomorphological hazards. The increased availability of monitoring data, like inclinometric measures, piezometric levels, encourages the development of prediction techniques and among these the use of data-driven models. This work introduces the use of an evolutionary modeling technique, namely EPRMOGA to model the relationship between the expected displacements and the past measured values of displacements and past cumulative rainfall values.
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Acknowledgments
This work is part of the project: “Time-Space prediction of high impact landslides under changing precipitation regimes—SHARE”, granted by the Italian Ministry of the Education and Scientific Research (MIUR).
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Doglioni, A., Crosta, G.B., Frattini, P., Melidoro, N.L., Simeone, V. (2015). Predicting Landslide Displacements by Multi-objective Evolutionary Polynomial Regression. In: Lollino, G., Manconi, A., Guzzetti, F., Culshaw, M., Bobrowsky, P., Luino, F. (eds) Engineering Geology for Society and Territory - Volume 5. Springer, Cham. https://doi.org/10.1007/978-3-319-09048-1_127
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DOI: https://doi.org/10.1007/978-3-319-09048-1_127
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