Segui
Luca Piciullo
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A review of the recent literature on rainfall thresholds for landslide occurrence
S Segoni, L Piciullo, SL Gariano
Landslides 15 (8), 1483-1501, 2018
4632018
Territorial early warning systems for rainfall-induced landslides
L Piciullo, M Calvello, JM Cepeda
Earth-Science Reviews 179, 228-247, 2018
2632018
Monitoring strategies for local landslide early warning systems
G Pecoraro, M Calvello, L Piciullo
Landslides 16, 213-231, 2019
1792019
SPH run-out modelling of channelised landslides of the flow type
L Cascini, S Cuomo, M Pastor, G Sorbino, L Piciullo
Geomorphology 214, 502-513, 2014
1472014
Definition and performance of a threshold-based regional early warning model for rainfall-induced landslides
L Piciullo, SL Gariano, M Melillo, MT Brunetti, S Peruccacci, F Guzzetti, ...
Landslides 14 (3), 995-1008, 2017
1442017
Modelling of shallow landslides with machine learning algorithms
Z Liu, G Gilbert, JM Cepeda, AOK Lysdahl, L Piciullo, H Hefre, S Lacasse
Geoscience Frontiers 12 (1), 385-393, 2021
1212021
The Rio de Janeiro early warning system for rainfall-induced landslides: analysis of performance for the years 2010–2013
M Calvello, RN d’Orsi, L Piciullo, N Paes, M Magalhaes, WA Lacerda
International journal of disaster risk reduction 12, 3-15, 2015
1092015
A new look at the statistics of tailings dam failures
L Piciullo, EB Storrøsten, Z Liu, F Nadim, S Lacasse
Engineering Geology 303, 106657, 2022
672022
Assessing the performance of regional landslide early warning models: the EDuMaP method
M Calvello, L Piciullo
Natural Hazards and Earth System Sciences 16 (1), 103-122, 2016
522016
Preface: Landslide early warning systems: monitoring systems, rainfall thresholds, warning models, performance evaluation and risk perception
S Segoni, L Piciullo, SL Gariano
Natural Hazards and Earth System Sciences 18 (12), 3179-3186, 2018
412018
Standards for the performance assessment of territorial landslide early warning systems
L Piciullo, D Tiranti, G Pecoraro, JM Cepeda, M Calvello
Landslides 17, 2533-2546, 2020
332020
Adapting the EDuMaP method to test the performance of the Norwegian early warning system for weather-induced landslides
L Piciullo, MP Dahl, G Devoli, H Colleuille, M Calvello
Natural Hazards and Earth System Sciences 17 (6), 817-831, 2017
282017
Regional analyses of rainfall-induced landslide initiation in Upper Gudbrandsdalen (South-Eastern Norway) using TRIGRS model
L Schilirò, J Cepeda, G Devoli, L Piciullo
Geosciences 11 (1), 35, 2021
202021
The community-based alert and alarm system for rainfall induced landslides in Rio de Janeiro, Brazil
M Calvello, RN D’Orsi, L Piciullo, NM Paes, MA Magalhaes, R Coelho, ...
Engineering Geology for Society and Territory-Volume 2: Landslide Processes …, 2015
202015
Modeling of propagation and entrainment phenomena for landslides of the flow type: the May 1998 case study
L Cascini, S Cuomo, M Pastor, G Sorbino, L Piciullo
Proceedings of the 11th International Symposium on Landslides: Landslides …, 2012
182012
Assessment of building damage due to excavation-induced displacements: The GIBV method
L Piciullo, S Ritter, AOK Lysdahl, J Langford, F Nadim
Tunnelling and Underground Space Technology 108, 103673, 2021
132021
A first step towards a IoT-based local early warning system for an unsaturated slope in Norway
L Piciullo, V Capobianco, H Heyerdahl
Natural Hazards 114 (3), 3377-3407, 2022
92022
Calibration of rainfall thresholds for landslide early warning purposes: applying the EDuMaP method to the system deployed in Campania region (Italy)
L Piciullo, I Siano, M Calvello
Landslides and Engineered Slopes. Experience, Theory and Practice, 1621-1629, 2018
92018
Risk assessment of terrestrial transportation infrastructures exposed to extreme events
U Eidsvig, M Santamaría, N Galvão, N Tanasic, L Piciullo, R Hajdin, ...
Infrastructures 6 (11), 163, 2021
82021
Adaptation of the EDuMaP method for the performance evaluation of the alerts issued on variable warning zones
L Piciullo, MP Dahl, G Devoli, H Colleuille, M Calvello
Nat Hazards Earth Sys 17 (6), 817-831, 2017
72017
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