Memorie scientifiche

De Luca, D. L., & Capparelli, G. (2022). Rainfall nowcasting model for early warning systems applied to a case over Central Italy. Natural Hazards. https://doi.org/10.1007/s11069-021-05191-w
Brighenti, R., Spaggiari, L., Segalini, A., Savi, R., & Capparelli, G. (2021). Debris flow impact on a flexible barrier: laboratory flume experiments and force-based mechanical model validation. Natural Hazards, 106, 735-756. https://doi.org/10.1007/s11069-020-04489-5
Capparelli, G., & Spolverino, G. (2020). An empirical approach for modeling hysteresis behavior of pyroclastic soils. Hydrology, 7. https://doi.org/10.3390/hydrology7010014
Capparelli, G., Damiano, E., Greco, R., Olivares, L., & Spolverino, G. (2020). Physical modeling investigation of rainfall infiltration in steep layered volcanoclastic slopes. Journal Of Hydrology, 580. https://doi.org/10.1016/j.jhydrol.2019.124199
Segalini, A., Carri, A., Grignaffini, C., & Capparelli, G. (2019). Formulation of landslide risk scenarios using underground monitoring data and numerical models: conceptual approach, analysis, and evolution of a case study in Southern Italy. Landslides, 16, 1043-1053. https://doi.org/10.1007/s10346-019-01137-3
Spolverino, G., Capparelli, G., & Versace, P. (2019). An instrumented flume for infiltration process modeling, landslide triggering and propagation. Geosciences (Switzerland), 9. https://doi.org/10.3390/geosciences9030108
Formetta, G., & Capparelli, G. (2019). Quantifying the three-dimensional effects of anisotropic soil horizons on hillslope hydrology and stability. Journal Of Hydrology, 570, 329-342. https://doi.org/10.1016/j.jhydrol.2018.12.064
Versace, P., Capparelli, G., & De Luca, D. L. (2018). TXT-tool 2.039-4.1: Flair model (forecasting of landslides induced by rainfalls). In Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring (pagg. 381-389). https://doi.org/10.1007/978-3-319-57774-6_28
Capparelli, G., Spolverino, G., & Greco, R. (2018). Experimental determination of TDR calibration relationship for pyroclastic ashes of campania (Italy). Sensors (Switzerland), 18. https://doi.org/10.3390/s18113727
Capparelli, G., Picarelli, L., & Versace, P. (2018). TXT-tool 4.039-4.1 landslide investigations and risk mitigation: The Sarno, Italy, case. In Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools (Vol. 2, pagg. 771-784). https://doi.org/10.1007/978-3-319-57777-7_50
Intrieri, E., Bardi, F., Fanti, R., Gigli, G., Fidolini, F., Casagli, N., et al. (2017). Big data managing in a landslide early warning system: Experience from a ground-based interferometric radar application. Natural Hazards And Earth System Sciences, 17, 1713-1723. https://doi.org/10.5194/nhess-17-1713-2017
Versace, P., Capparelli, G., & De Luca, D. L. (2017). TXT-tool 2.039-4.2 LEWIS Project: An Integrated System for Landslides Early Warning. In Landslide Dynamics: ISDR-ICL Landslide Interactive Teaching Tools: Volume 1: Fundamentals, Mapping and Monitoring (pagg. 509-535). https://doi.org/10.1007/978-3-319-57774-6_38
Formetta, G., Capparelli, G., & Versace, P. (2016). Evaluating performance of simplified physically based models for shallow landslide susceptibility. Hydrology And Earth System Sciences, 20, 4585-4603. https://doi.org/10.5194/hess-20-4585-2016
Formetta, G., Capparelli, G., David, O., Green, T. R., & Rigon, R. (2016). Integration of a three-dimensional process-based hydrological model into the object Modeling System. Water (Switzerland), 8. https://doi.org/10.3390/w8010012
Formetta, G., Capparelli, G., & Versace, P. (2015). Modelling rainfall induced shallow landslides in the landslide early warning integrated system project. Geotechnical Engineering for Infrastructure and Development - Proceedings of the XVI European Conference on Soil Mechanics and Geotechnical Engineering, ECSMGE 2015, 4, 1747-1752. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84964528167&partnerID=40&md5=246d6e332fd6361a81bf237dd56201c0
Costanzo, S., Massa, G. D., Costanzo, A., Morrone, L., Raffo, A., Spadafora, F., et al. (2015). Low-cost radars integrated into a landslide early warning system. Advances In Intelligent Systems And Computing, 354, 11-19. https://doi.org/10.1007/978-3-319-16528-8_2
Formetta, G., Capparelli, G., Rigon, R., & Versace, P. (2014). Physically based landslide susceptibility models with different degree of complexity: Calibration and verification. Proceedings - 7th International Congress on Environmental Modelling and Software: Bold Visions for Environmental Modeling, iEMSs 2014, 2, 635-642. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84911862135&partnerID=40&md5=86d9cda67a0d4abc772908ebdfdfa24f
Capparelli, G., & Versace, P. (2014). Analysis of landslide triggering conditions in the Sarno area using a physically based model. Hydrology And Earth System Sciences, 18, 3225-3237. https://doi.org/10.5194/hess-18-3225-2014
De Luca, D. L., Versace, P., & Capparelli, G. (2014). Performance of I–D thresholds and flair model for recent landslide events in calabria region (southern Italy). In Landslide Science for a Safer Geoenvironment: Volume 3: Targeted Landslides (pagg. 281-286). https://doi.org/10.1007/978-3-319-04996-0_43
Greco, R., Giorgio, M., Capparelli, G., & Versace, P. (2013). Early warning of rainfall-induced landslides based on empirical mobility function predictor. Engineering Geology, 153, 68-79. https://doi.org/10.1016/j.enggeo.2012.11.009
Capparelli, G., Giorgio, M., & Greco, R. (2013). Shallow landslides risk mitigation by early warning: The sarno case. Landslide Science and Practice: Risk Assessment, Management and Mitigation, 6, 767-772. https://doi.org/10.1007/978-3-642-31319-6_98
Capparelli, G., & Versace, P. (2013). On verification of forecasting capability of the FlaIR regional model in landslide early warning. Landslide Science and Practice: Risk Assessment, Management and Mitigation, 6, 773-778. https://doi.org/10.1007/978-3-642-31319-6_99
Capparelli, G., Versace, P., & Biondi, D. (2013). A contribution for the assessment of sliding susceptibility in Sarno area, Southern Italy. Geotechnical Special Publication, 1023-1033. https://doi.org/10.1061/9780784412787.104
Capparelli, G., Versace, P., & Biondi, D. (2013). A contribution for the assessment of sliding susceptibility in Sarno area, Southern Italy. Geotechnical Special Publication, 1023-1033. https://doi.org/10.1061/9780784412787.104
Versace, P., Capparelli, G., Leone, S., Artese, G., Costanzo, S., Corsonello, P., et al. (2012). LEWIS project: An integrated system of monitoring, early warning and mitigation of landslides risk. Rendiconti Online Societa Geologica Italiana, 21, 586-587. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872289752&partnerID=40&md5=511a8c070b19346d281085672ccc65fe
Capparelli, G., Iaquinta, P., Iovine, G. G. R., Terranova, O. G., & Versace, P. (2012). Modelling the rainfall-induced mobilization of a large slope movement in northern Calabria. Natural Hazards, 61, 247-256. https://doi.org/10.1007/s11069-010-9651-1
Capparelli, G., De Luca, D. L., & Versace, P. (2012). Development of an hydrological landslide model at regional scale. Applications in the central part of Calabria region (southern Italy). Rendiconti Online Societa Geologica Italiana, 21, 567-568. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872354203&partnerID=40&md5=287bf2d7002400113f7c77f4d110cb5a
Olivares, L., Damiano, E., & Capparelli, G. (2012). A complete model for landslides prediction. Validation for the analysis of infiltration processes in pyroclastic soils. Rendiconti Online Societa Geologica Italiana, 21, 577-579. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872300062&partnerID=40&md5=3835a57960263bca121160b0620591b5
Capparelli, G., & Versace, P. (2011). FLaIR and SUSHI: Two mathematical models for early warning of landslides induced by rainfall. Landslides, 8, 67-79. https://doi.org/10.1007/s10346-010-0228-6
De Luca, D. L., Biondi, D., Capparelli, G., Galasso, L., & Versace, P. (2010). Mathematical models for early warning systems. IAHS-AISH Publication, 340, 485-495. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-79952681416&partnerID=40&md5=a311ce9b03b1cd4f6c18c2e20f6f0048