1,720,998 research outputs found
Valutazione del coefficiente di resistenza per una corrente piana laminare mediante un modello di gas reticolare
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Application of Lattice Gas techniques to the Study of Sediment Erosion and transport Caused by Laminar Sheetflow
No full textUn dispositivo per la misura del trasporto solido al fondo in correnti a bassa sommergenza
No full textMunicipal civil protection plans: Origins, development,and new actions of land-use planning (part II)
No full textLa normativa degli ultimi venti anni dà ai piani
comunali di protezione civile un valore crescente tra
le attività di pianificazione del territorio, ma i relativi
caratteri specifici stentano ad affermarsi tra gli addetti.
Questo contributo, nella sua prima parte (pubblicata
sul n. 95), ha restituito il percorso, dalla genesi a oggi,
della pianificazione di protezione civile nel nostro paese,
ricostruendone l’evoluzione tra norme e indirizzi. L’esito
culminato nel D.Lgs. 1/2018 definisce i ruoli di sindaci,
strutture amministrative comunali, regioni, volontariato
e prefetture. Questa seconda parte espone il nuovo ruolo
del piano di protezione civile comunale nel quadro
del ‘Sendai Framework for Disaster Risk Reduction’ e
offre spunti per la cruciale direttiva nazionale sulla
pianificazione di protezione civile in fase di stesura.
Parole chiave: piano di protezione civile comunale;
pianificazione territoriale; interconnessioni funzionaliThe regulatory dynamics of the last twenty years give municipal civil protection planning an increasing importance among land-use planning activities. However, its peculiar characteristics are not always mastered by professionals. In its first part (see 'Territorio' no. 95), this article presented the path, from genesis to current references, of civil protection planning in Italy, reconstructing the mutual evolution of regulatory and governance actions. The result defines the roles of mayors, municipal structures, regions, volunteers, and prefectures after the Legislative Decree 1/2018. In this article's second part, the role of municipal civil protection plan in the framework of Sendai Framework for Disaster Risk Reduction is described. Lastly, themes to be considered for the next crucial national directive on civil protection planning are suggested
Simulazione numerica del moto di un fluido viscoso attorno a corpi cilindrici di sezione circolare e frattale
No full textSelf similar heterogeneity in granular porous media at the Representative Elementary Volume scale
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Landslide hazard and risk mapping at catchment scale in the Arno River basin
No full textWe present the methodologies adopted and the outcomes obtained in the analysis of landslide risk in the basin of the Arno River (Central Italy) in the framework of a project sponsored by the Basin Authority of the Arno River, started in the year 2002 and completed at the beginning of 2005. In particular, a complete set of methods and applications for the assessment of landslide susceptibility and risk are described and discussed. A new landslide inventory of the whole area was realized, using conventional (aerial-photo interpretation and field surveys) and non-conventional methods (e.g. remote sensing techniques such as DInSAR and PS-InSAR). The great majority of the mapped mass movements are rotational slides (75%), solifluctions and other shallow slow movements (17%) and flows (5%), while soil slips, and other rapid landslides, seem less frequent everywhere within the basin. The relationships between landslide characteristics and environmental factors have been assessed through statistical analysis. As expected, the results show a strong control of land cover, lithology and morphology on landslide occurrence. The landslide frequency-size distribution shows a typical scaling behaviour already underlined in other landslide inventories worldwide. The assessment of landslide hazard in terms of probability of occurrence in a given time, based for mapped landslides on direct and indirect observations of the state of activity and recurrence time, has been extended to landslide-free areas through the application of statistical methods implemented in an artificial neural network (ANN). Unique conditions units (UCU) were defined by the map overlay of landslide preparatory factors (lithology, land cover, slope gradient, slope curvature and upslope contributing area) and afterwards used to construct a series of model vectors for the training and test of the ANN. Various different ANNs were selected throughout the basin, until each UCU was assigned a degree of membership to a susceptibility and a hazard class. Model validation confirms that prediction results are very good, with an average percentage of correctly recognized mass movements of about 85%. The analysis also revealed the existence of a large number of unmapped mass movements, thus contributing to the completeness of the final inventory. Temporal hazard was estimated via the translation of state of activity in recurrence time and hence probability of occurrence. The following intersection of hazard values with vulnerability and exposure figures, obtained by reclassification of digital vector mapping at 1:10,000 scale, lead to the definition of risk values for each terrain unit for different periods of time into the future. The final results of the research are now undergoing a process of integration and implementation within land planning and risk prevention policies and practices at local and national level
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