Μοντελοποίηση ακραίων βροχοπτώσεων σε παγκόσμια κλίμακα με τη χρήση εύγνωστων ροπών

Αγκαθέρης, Νικόλαος; Agkatheris, Nikolaos

dc.contributor.author	Αγκαθέρης, Νικόλαος	el
dc.contributor.author	Agkatheris, Nikolaos	en
dc.date.accessioned	2020-04-15T12:07:21Z
dc.date.available	2020-04-15T12:07:21Z
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/50186
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.17884
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ελλάδα	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/gr/	*
dc.subject	Στοχαστικά	el
dc.subject	Μοντελοποίηση	el
dc.subject	Ακραία βροχόπτωση	el
dc.subject	Κ - ροπές	el
dc.subject	Βελτιστοποίηση	el
dc.subject	Stochastics	en
dc.subject	Modelling	en
dc.subject	K - moments	en
dc.subject	Extreme rainfall	en
dc.subject	Pareto	en
dc.title	Μοντελοποίηση ακραίων βροχοπτώσεων σε παγκόσμια κλίμακα με τη χρήση εύγνωστων ροπών	el
dc.title	Extreme-oriented rainfall modelling on global scale using knowable moments	en
heal.type	bachelorThesis
heal.classification	Υδρολογία	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2019-10-15
heal.abstract	Assessment of extremes in hydrological processes is crucial in a variety of tasks from engineering design to risk management. Using classical moments to express important attributes of such assessment, proves to be efficient only for low order of moments. However, extreme rainfall events are better modelled using high-order moments. Whilst L – moments can be reliably estimated even for those higher orders, they fail in accounting for long-term dependence bias which exists in most large hydrological records. Thus, the newly introduced knowable (K) moments are used to model extremes, as they provide better grounds for prediction based on high orders, whilst retaining precision of classical moments for low orders. This study’s findings may improve knowledge on how to correctly model and predict such extreme rainfall events, providing comparison between the effectiveness of K – moments and classic methods. As this is a global study using data from the GHCN – Daily database, an attempt is made at constructing the basic framework for correlating a distribution’s fitting parameters and regional climatic characteristics.	en
heal.advisorName	Κουτσογιάννης, Δημήτριος	el
heal.committeeMemberName	Κουτσογιάννης, Δημήτριος	el
heal.committeeMemberName	Νουτσόπουλος, Κωνσταντίνος	el
heal.committeeMemberName	Μαμάσης, Νικόλαος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Πολιτικών Μηχανικών. Τομέας Υδατικών Πόρων και Περιβάλλοντος	el
heal.academicPublisherID	ntua
heal.numberOfPages	140 σ.
heal.fullTextAvailability	false