HEAL DSpace

GIS integrated waste production modeling

Αποθετήριο DSpace/Manakin

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dc.contributor.author Karadimas, NV en
dc.contributor.author Mavrantza, OD en
dc.contributor.author Loumos, VG en
dc.date.accessioned 2014-03-01T02:43:21Z
dc.date.available 2014-03-01T02:43:21Z
dc.date.issued 2005 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/31349
dc.subject GIS environment en
dc.subject Spatio-temporal geodatabase en
dc.subject Temporal analysis en
dc.subject Waste management en
dc.subject Waste production en
dc.subject.other GIS environment en
dc.subject.other Spatio-temporal geodatabases en
dc.subject.other Temporal analysis en
dc.subject.other Waste production en
dc.subject.other Database systems en
dc.subject.other Economic and social effects en
dc.subject.other Geographic information systems en
dc.subject.other Population dynamics en
dc.subject.other Waste management en
dc.subject.other Solid wastes en
dc.title GIS integrated waste production modeling en
heal.type conferenceItem en
heal.identifier.primary 10.1109/EURCON.2005.1630190 en
heal.identifier.secondary http://dx.doi.org/10.1109/EURCON.2005.1630190 en
heal.identifier.secondary 1630190 en
heal.publicationDate 2005 en
heal.abstract In the present paper, an innovative model for the management of urban solid waste is proposed. The model consists of a Spatio-temporal Geodatabase, integrated in a Geographical Information System (GIS) environment. This model takes into consideration all the parameters of waste production, such as population density, commercial traffic, road network and the relative information (e.g. road width, etc). Temporal ground-based analysis has been applied for the estimation of the interrelations between the above factors, and the variations in waste production between residential and commercial areas. Therefore, the model takes into account a unified categorization of all the commercial and industrial activities in the area under study. The main goal of this Innovative algorithmic approach is to develop an accurate estimation of the solid waste production rate that allows the identification of the optimal number and location of the waste bins. In this way, municipalities aware of social, economical and environmental factors related to waste management can achieve optimal planning for their services. © 2005 IEEE. en
heal.journalName EUROCON 2005 - The International Conference on Computer as a Tool en
dc.identifier.doi 10.1109/EURCON.2005.1630190 en
dc.identifier.volume II en
dc.identifier.spage 1279 en
dc.identifier.epage 1282 en


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