EGU2020-2633, updated on 12 Jun 2020
https://doi.org/10.5194/egusphere-egu2020-2633
EGU General Assembly 2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Risk management and risk assignment: from digital distruption to statistical tools for natural events’ Risk

Giovanni Di Trapani1, Renato Somma1,2, Antonio Coviello1, Giuseppe De Natale2, Claudia Troise2, and Alfredo Trocciola3
Giovanni Di Trapani et al.
  • 1CNR IRISS, Napoli, Italy (g.ditrapani@iriss.cnr.it)
  • 2INGV Sez. Napoli, Italy (renato.somma@ingv.it)
  • 3ENEA CR Portici (NA), Italy (alfredo.trocciola@enea.it)

Recent calamities in Italy caused by natural disasters encouraged scientists and politicians to assess the need to find instruments for limiting risks. Risk Management suggests methods of adopting various options. A successful approach, thanks to the inexorable growth of digital technology, involves the use of the information infers from the decoding of Big Data. The radical technological advances generated by digital technologies require the application of appropriate statistical tools. The adoption of more flexible and interactive tools and strategies to analyses the natural phenomena (e.g. floods and landslides) as well as possible disasters like eruptions and earthquakes could ensure an optimal response to risk transfer and management.

How to cite: Di Trapani, G., Somma, R., Coviello, A., De Natale, G., Troise, C., and Trocciola, A.: Risk management and risk assignment: from digital distruption to statistical tools for natural events’ Risk, EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-2633, https://doi.org/10.5194/egusphere-egu2020-2633, 2020