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
Petroselli, A., Apollonio, C., De Luca, D. L., Salvaneschi, P., Pecci, M., Marras, T., & Schirone, B. (2021). Comparative evaluation of the rainfall erosivity in the rieti province, central italy, using empirical formulas and a stochastic rainfall generator. Hydrology, 8. https://doi.org/10.3390/hydrology8040171
De Luca, D. L., & Petroselli, A. (2021). STORAGE (STOchastic RAinfall generator): A user-friendly software for generating long and high-resolution rainfall time series. Hydrology, 8. https://doi.org/10.3390/hydrology8020076
Biondi, D., Greco, A., & De Luca, D. L. (2021). Fixed-area vs storm-centered areal reduction factors: a Mediterranean case study. Journal Of Hydrology, 595. https://doi.org/10.1016/j.jhydrol.2020.125654
Greco, A., De Luca, D. L., & Avolio, E. (2020). Heavy precipitation systems in Calabria region (southern Italy): High-resolution observed rainfall and large-scale atmospheric pattern analysis. Water (Switzerland), 12. https://doi.org/10.3390/w12051468
De Luca, D. L., Petroselli, A., & Galasso, L. (2020). A transient stochastic rainfall generator for climate changes analysis at hydrological scales in central Italy. Atmosphere, 11, 1-21. https://doi.org/10.3390/atmos11121292
De Luca, D. L., Petroselli, A., & Galasso, L. (2020). Modelling Climate Changes with Stationary Models: Is It Possible or Is It a Paradox?. Lecture Notes In Computer Science (Including Subseries Lecture Notes In Artificial Intelligence And Lecture Notes In Bioinformatics), 11974 LNCS, 84-96. https://doi.org/10.1007/978-3-030-40616-5_7
De Luca, D. L., & Galasso, L. (2019). Calibration of NSRP models from extreme value distributions. Hydrology, 6. https://doi.org/10.3390/HYDROLOGY6040089
De Luca, D. L., & Galasso, L. (2018). Stationary and non-stationary frameworks for extreme rainfall time series in southern Italy. Water (Switzerland), 10. https://doi.org/10.3390/w10101477
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
Biondi, D., & De Luca, D. L. (2017). Rainfall-runoff model parameter conditioning on regional hydrological signatures: Application to ungauged basins in southern Italy. Hydrology Research, 48, 714-725. https://doi.org/10.2166/nh.2016.097
De Luca, D. L., & Biondi, D. (2017). Bivariate return period for design hyetograph and relationship with T-year design flood peak. Water (Switzerland), 9. https://doi.org/10.3390/w9090673
De Luca, D. L., & Versace, P. (2017). Diversity of Rainfall Thresholds for early warning of hydro-geological disasters. Advances In Geosciences, 44, 53-60. https://doi.org/10.5194/adgeo-44-53-2017
De Luca, D. L., & Versace, P. (2017). A comprehensive framework for empirical modeling of landslides induced by rainfall: the Generalized FLaIR Model (GFM). Landslides, 14, 1009-1030. https://doi.org/10.1007/s10346-016-0768-5
Biondi, D., & De Luca, D. L. (2017). Rainfall-runoff model parameter conditioning on regional hydrological signatures: Application to ungauged basins in southern Italy. Hydrology Research, 48, 714-725. https://doi.org/10.2166/nh.2016.097
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
De Luca, D. L., & Biondi, D. (2017). Bivariate return period for design hyetograph and relationship with T-year design flood peak. Water (Switzerland), 9. https://doi.org/10.3390/w9090673
De Luca, D. L., & Cepeda, J. M. (2016). Procedure to obtain analytical solutions of one-dimensional richards equation for infiltration in two-layered soils. Journal Of Hydrologic Engineering, 21. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001356
Biondi, D., & De Luca, D. L. (2015). Process-based design flood estimation in ungauged basins by conditioning model parameters on regional hydrological signatures. Natural Hazards, 79, 1015-1038. https://doi.org/10.1007/s11069-015-1889-1
Biondi, D., & De Luca, D. L. (2015). Process-based design flood estimation in ungauged basins by conditioning model parameters on regional hydrological signatures. Natural Hazards, 79, 1015-1038. https://doi.org/10.1007/s11069-015-1889-1
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
De Luca, D. L. (2014). Analysis and modelling of rainfall fields at different resolutions in southern Italy. Hydrological Sciences Journal, 59, 1536-1558. https://doi.org/10.1080/02626667.2014.926013
Biondi, D., & De Luca, D. L. (2013). Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting. Journal Of Hydrology, 479, 51-63. https://doi.org/10.1016/j.jhydrol.2012.11.019
Biondi, D., & De Luca, D. L. (2013). Performance assessment of a Bayesian Forecasting System (BFS) for real-time flood forecasting. Journal Of Hydrology, 479, 51-63. https://doi.org/10.1016/j.jhydrol.2012.11.019
De Luca, D. L., & Cepeda, J. M. (2012). Models for landslides induced by precipitation in Norway. Rendiconti Online Societa Geologica Italiana, 21, 569-571. Recuperato de https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872325004&partnerID=40&md5=89a77c1c6bb983606a4831087d3f82c0
Biondi, D., & De Luca, D. L. (2012). A Bayesian approach for real-time flood forecasting. Physics And Chemistry Of The Earth, 42-44, 91-97. https://doi.org/10.1016/j.pce.2011.04.004
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
Sirangelo, B., Ferrari, E., & De Luca, D. L. (2011). Occurrence analysis of daily rainfalls through non-homogeneous Poissonian processes. Natural Hazards And Earth System Science, 11, 1657-1668. https://doi.org/10.5194/nhess-11-1657-2011
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
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