Demolition waste generation for development of a regional management chain model

Copyright © 2016 Elsevier Ltd. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Waste management (New York, N.Y.). - 1999. - 49(2016) vom: 03. März, Seite 156-169
1. Verfasser: Bernardo, Miguel (VerfasserIn)
Weitere Verfasser: Gomes, Marta Castilho, de Brito, Jorge
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2016
Zugriff auf das übergeordnete Werk:Waste management (New York, N.Y.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't Construction and demolition waste (CDW) Demolition works Generation models Small-scale CDW estimation tools Waste management chain model Waste Products
Beschreibung
Zusammenfassung:Copyright © 2016 Elsevier Ltd. All rights reserved.
Even though construction and demolition waste (CDW) is the bulkiest waste stream, its estimation and composition in specific regions still faces major difficulties. Therefore new methods are required especially when it comes to make predictions limited to small areas, such as counties. This paper proposes one such method, which makes use of data collected from real demolition works and statistical information on the geographical area under study. Based on a correlation analysis between the demolition waste estimates and indicators such as population density, buildings ageing index, buildings density and land occupation type, relationships are established that can be used to determine demolition waste outputs in a given area. The derived models are presented and explained. This methodology is independent from the specific region with which it is exemplified (the Lisbon Metropolitan Area) and can therefore be applied to any region of the world, from the country to the county level. Generation of demolition waste data at the county level is the basis of the design of a systemic model for CDW management in a region. Future developments proposed include a mixed-integer linear programming formulation of such recycling network
Beschreibung:Date Completed 15.05.2017
Date Revised 29.07.2017
published: Print-Electronic
Citation Status MEDLINE
ISSN:1879-2456
DOI:10.1016/j.wasman.2015.12.027