3 resultados para Past misses

em AMS Tesi di Dottorato - Alm@DL - Università di Bologna


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Proper hazard identification has become progressively more difficult to achieve, as witnessed by several major accidents that took place in Europe, such as the Ammonium Nitrate explosion at Toulouse (2001) and the vapour cloud explosion at Buncefield (2005), whose accident scenarios were not considered by their site safety case. Furthermore, the rapid renewal in the industrial technology has brought about the need to upgrade hazard identification methodologies. Accident scenarios of emerging technologies, which are not still properly identified, may remain unidentified until they take place for the first time. The consideration of atypical scenarios deviating from normal expectations of unwanted events or worst case reference scenarios is thus extremely challenging. A specific method named Dynamic Procedure for Atypical Scenarios Identification (DyPASI) was developed as a complementary tool to bow-tie identification techniques. The main aim of the methodology is to provide an easier but comprehensive hazard identification of the industrial process analysed, by systematizing information from early signals of risk related to past events, near misses and inherent studies. DyPASI was validated on the two examples of new and emerging technologies: Liquefied Natural Gas regasification and Carbon Capture and Storage. The study broadened the knowledge on the related emerging risks and, at the same time, demonstrated that DyPASI is a valuable tool to obtain a complete and updated overview of potential hazards. Moreover, in order to tackle underlying accident causes of atypical events, three methods for the development of early warning indicators were assessed: the Resilience-based Early Warning Indicator (REWI) method, the Dual Assurance method and the Emerging Risk Key Performance Indicator method. REWI was found to be the most complementary and effective of the three, demonstrating that its synergy with DyPASI would be an adequate strategy to improve hazard identification methodologies towards the capture of atypical accident scenarios.

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Il presente progetto di ricerca riguarda la terza trilogia di romanzi di Nuruddin Farah, “Past Imperfect” (2004-2011). L’analisi dei tre testi che compongono la trilogia – “Links” (2004), “Knots” (2007) e “Crossbones” (2011) – evidenzia la persistente rilevanza delle narrazioni e delle rappresentazioni della famiglia all’interno di tutta la produzione letteraria dell’autore. Questa prospettiva critica richiede l’impiego di una metodologia che riunisce vari aspetti della critica letteraria di matrice post-strutturalista e, per altri versi, di stampo materialista, assecondando così le due principali tendenze critiche presenti all’interno degli studi postcoloniali. Lo stesso approccio teorico-metodologico può essere applicato anche in altri due ambiti critici chiamati in causa dalla trilogia di Nuruddin Farah: la cosiddetta “world literature” e la cosiddetta “failed-state fiction”. L’analisi delle narrazioni e delle rappresentazioni della famiglia richiede, inoltre, un approccio interdisciplinare molto esteso, stimolando ricerche negli ambiti della semiotica, dell’antropologia, della psicanalisi, dei Gender Studies e dei Trauma Studies.

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This work is focused on the analysis of sea–level change (last century), based mainly on instrumental observations. During this period, individual components of sea–level change are investigated, both at global and regional scales. Some of the geophysical processes responsible for current sea-level change such as glacial isostatic adjustments and current melting terrestrial ice sources, have been modeled and compared with observations. A new value of global mean sea level change based of tide gauges observations has been independently assessed in 1.5 mm/year, using corrections for glacial isostatic adjustment obtained with different models as a criterion for the tide gauge selection. The long wavelength spatial variability of the main components of sea–level change has been investigated by means of traditional and new spectral methods. Complex non–linear trends and abrupt sea–level variations shown by tide gauges records have been addressed applying different approaches to regional case studies. The Ensemble Empirical Mode Decomposition technique has been used to analyse tide gauges records from the Adriatic Sea to ascertain the existence of cyclic sea-level variations. An Early Warning approach have been adopted to detect tipping points in sea–level records of North East Pacific and their relationship with oceanic modes. Global sea–level projections to year 2100 have been obtained by a semi-empirical approach based on the artificial neural network method. In addition, a model-based approach has been applied to the case of the Mediterranean Sea, obtaining sea-level projection to year 2050.