Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region

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Title: Prediction of household and commercial BMW generation according to socio-economic and other factors for the Dublin region
Authors: Purcell, M.
Magette, W. L.
Permanent link: http://hdl.handle.net/10197/3078
Date: Apr-2009
Abstract: Both planning and design of integrated municipal solid waste management systems require accurate prediction of waste generation. This research predicted the quantity and distribution of biodegradable municipal waste (BMW) generation within a diverse 'landscape' of residential areas, as well as from a variety of commercial establishments (restaurants, hotels, hospitals, etc.) in the Dublin (Ireland) region. Socio-economic variables, housing types, and the sizes and main activities of commercial establishments were hypothesized as the key determinants contributing to the spatial variability of BMW generation. A geographical information system (GIS) 'model' of BMW generation was created using ArcMap, a component of ArcGIS 9. Statistical data including socio-economic status and household size were mapped on an electoral district basis. Historical research and data from the scientific literature were used to assign BMW generation rates to residential and commercial establishments. These predictions were combined to give overall BMW estimates for the region, which can aid waste planning and policy decisions. This technique will also aid the design of future waste management strategies as a function of demographic changes and development. By changing the input data, this estimation tool can be adapted for use in other locations.
Funding Details: Other funder
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2008 Elsevier Ltd. All rights reserved.
Keywords: BMW;Dublin;Solid waste management;Waste prediction;Household waste;Commercial waste
Subject LCSH: Organic wastes--Ireland--Dublin
Integrated solid waste management--Ireland--Dublin
Organic wastes--Geographic information systems
DOI: 10.1016/j.wasman.2008.10.011
Language: en
Status of Item: Peer reviewed
Appears in Collections:Centre for Water Resources Research Collection
Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Civil Engineering Research Collection

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This item is available under the Attribution-NonCommercial-NoDerivs 3.0 Ireland. No item may be reproduced for commercial purposes. For other possible restrictions on use please refer to the publisher's URL where this is made available, or to notes contained in the item itself. Other terms may apply.