Processing And Interpretation Of Statistical Data Regarding The Occurrence Of Earthquakes

This work aims the analysis of the statistical data for a disaster situation. The statistical research of this paper is based on the devastating incident in Rieti for which we used the statistical observation, the primary data processing and we obtained the statistical indicators, and we analysed and interpreted the results of the collected data processing. The used statistical indicators have the role to allow the quantification of certain mass phenomena. In the present times, the numerical modeling represents the only tool to perceive the evolution of the seismic activity in time and space. Even if the process of generating earthquakes is influenced by a complex of certain physical and chemical processes, there is no system to simulate and analyse the seismic process in its complex form, anywhere in the world.

[1]  Etienne de Rocquigny,et al.  Modelling Under Risk and Uncertainty: An Introduction to Statistical, Phenomenological and Computational Methods , 2012 .

[2]  G. Grünthal,et al.  SENSITIVITY OF PARAMETERS FOR PROBABILISTIC SEISMIC HAZARD ANALYSIS USING A LOGIC TREE APPROACH , 2001 .

[3]  Horia-Nicolai L. Teodorescu,et al.  On the algorithmic role of synonyms and keywords in analytics for catastrophic events , 2016, 2016 8th International Conference on Electronics, Computers and Artificial Intelligence (ECAI).

[4]  Gabriel Eugen Garais,et al.  Modeling Maintenance Processesfor Distributed Applications , 2013 .

[5]  David M. Perkins,et al.  Spatial Correlation of Probabilistic Earthquake Ground Motion and Loss , 2001 .

[6]  Nicolas Luco,et al.  Direct Calculation of the Probability Distribution for Earthquake Losses to a Portfolio , 2009 .

[7]  Horia-Nicolai Teodorescu.  Emergency-Related, Social Network Time Series: Description and Analysis , 2016 .

[8]  D. Marsan,et al.  The long precursory phase of most large interplate earthquakes , 2013 .

[9]  Horia-Nicolai Teodorescu,et al.  An internet slang annotated dictionary and its use in assessing message attitude and sentiments , 2015, 2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD).

[10]  Mironela Pirnau,et al.  Tool for monitoring Web sites for emergency-related posts and post analysis , 2015, 2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD).

[11]  Claudiu Pirnau,et al.  A Sustainable Model for Calculating the Efficiency of Knowledge Distribution in SMEs , 2014 .

[12]  L. Faenza,et al.  Probability map of the next M ≥ 5.5 earthquakes in Italy , 2004 .

[13]  Liz Tschoegl,et al.  An Analytical Review of Selected Data Sets on Natural Disasters and Impacts , 2006 .

[14]  E. Guidoboni,et al.  Earthquake effects on the environment: from historical descriptions to thematic cartography , 2000 .

[15]  Cecilia Bolea,et al.  Vocabulary, synonyms and sentiments of hazard-related posts on social networks , 2015, 2015 International Conference on Speech Technology and Human-Computer Dialogue (SpeD).

[16]  Cristina Coculescu.  Possibilities Of Dynamic Systems Simulation , 2013 .

[17]  Takashi Toriu,et al.  Knowledge based Social Network Applications to Disaster Event Analysis , 2013 .

[18]  H. Teodorescu.  Survey of IC&T in Disaster Mitigation and Disaster Situation Management , 2014 .

[19]  Cristina Coculescu.  Possibilities Of Modeling Competitiveness Indices Relevancy , 2012 .

[20]  Horia-Nicolai Teodorescu.  SN voice and text analysis as a tool for disaster effects estimation — A preliminary exploration , 2013, 2013 7th Conference on Speech Technology and Human - Computer Dialogue (SpeD).