Article citationsMore>>
Brunetti, M.T., Peruccacci, S., Rossi, M., Guzzetti, F., Reichenbach, P., Ardizzone, F., Cardinali, M., Mondini, A., Salvati, P., Tonelli, G., Valigi, D. and Luciani, S. (2009) A Prototype System to Forecast Rainfall Induced Landslides in Italy. In: Picarelli, L., Tommasi, P., Urciuoli, G. and Versace, P., Eds., Proceedings of the 1st Italian Workshop on Landslides, Rainfall-Induced Landslides: Mechanisms, Monitoring Techniques and Nowcasting Models for Early Warning Systems, Naples, 8-10 June 2009, 157-161.
has been cited by the following article:
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TITLE:
Probabilistic Rainfall Thresholds for Landslide Episodes in the Sierra Norte De Puebla, Mexico
AUTHORS:
Alejandra González, Ernesto Caetano
KEYWORDS:
Processes of Mass Removal, Thresholds, Probability, Bayesian Method, Sierra Norte De Puebla
JOURNAL NAME:
Natural Resources,
Vol.8 No.3,
March
31,
2017
ABSTRACT: The Sierra Norte de Puebla, Mexico, has a record of hundreds of mass removal processes triggered by rainfall, where the intensity and duration of the rain are the main mechanisms. In order to determine threshold values for precipitation as a cause of a landslide, the prior, marginal and conditional probabilities were calculated. A Bayesian method was used for one-dimensional (precipitation intensity) and two-dimensional (precipitation intensity and duration) analysis. This suggested a high probability of mass movement when the precipitation exceeds 60 mm within ten days. A proposed warning system is based on classes in which the threshold is exceeded.
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