Investigation of urban networks by using computational fluid dynamics techniques and urban physics applications

Vartziotis, Tina Nefeli; Βαρτζιώτη, Τίνα-Νεφέλη

dc.contributor.author	Vartziotis, Tina Nefeli	en
dc.contributor.author	Βαρτζιώτη, Τίνα-Νεφέλη	el
dc.date.accessioned	2019-03-21T11:08:51Z
dc.date.available	2019-03-21T11:08:51Z
dc.date.issued	2019-03-21
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/48509
dc.identifier.uri	http://dx.doi.org/10.26240/heal.ntua.16111
dc.rights	Default License
dc.subject	Radial distribution function	en
dc.subject	City texture	en
dc.subject	Satellite Images LandSat8	en
dc.subject	CFD for cities	en
dc.subject	Urban Heat Island	en
dc.subject	Συνάρτηση ακτινικής κατανομής	el
dc.subject	Αστική θερμινησίδα	el
dc.subject	Υπολογιστική ρευστοδυναμική για πόλεις	el
dc.subject	Δομή πόλεων	el
dc.subject	Δορυφορικές λήψεις LandSat8	el
dc.title	Investigation of urban networks by using computational fluid dynamics techniques and urban physics applications	en
dc.title	Διερεύνηση της επίδρασης αστικών γεωμετριών σε προβλήματα αστικού περιβάλλοντος μέσω τεχνικών υπολογιστικής ρευστοδυναμικής	el
heal.type	bachelorThesis
heal.classification	Υπολογιστικές μέθοδοι στη ρευστοδυναμική	en
heal.classificationURI	http://data.seab.gr/concepts/e6ab3f6b562030c0c8396c8ff25de47e482748f3
heal.language	el
heal.language	en
heal.access	free
heal.recordProvider	ntua	el
heal.publicationDate	2018-09
heal.abstract	To quantify geometrical characteristics of cities, we require input data of building footprints. While these can be obtained from GIS city departments, generally data sets of this kind are limited to large cities in the US and few cities in Europe. To over- come this issue, we established a method that allows us to obtain building footprints for any city in the world using open source maps (OpenStreetMap). Using buffer and clustering algorithms we were able to improve city texture calculations to account for diverse shapes of cities and their non-impervious parts. To understand the impact that city texture has on surface temperature, we utilized daytime satellite images, which only in recent years have managed to capture high resolution measurements for an entire city. Lastly, using the Monte Carlo technique we generated statistical accurate synthetic city models and used these to calculate wind loads and the drag coefficient on the buildings.	en
heal.advisorName	Γιαννάκογλου, Κυρίακος	el
heal.committeeMemberName	Αρετάκης, Νικόλαος	el
heal.committeeMemberName	Γιαννάκογλου, Κυρίακος	el
heal.committeeMemberName	Μαθιουδάκης, Κωσταντίνος	el
heal.academicPublisher	Εθνικό Μετσόβιο Πολυτεχνείο. Σχολή Μηχανολόγων Μηχανικών. Τομέας Ρευστών	el
heal.academicPublisherID	ntua
heal.numberOfPages	156 σ.
heal.fullTextAvailability	true