Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel

Lebersorger, S; Beigl, P

doi:10.1016/j.wasman.2011.05.016

Title: Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel

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Abstract

Waste management planning requires reliable data concerning waste generation, influencing factors on waste generation and forecasts of waste quantities based on facts. This paper aims at identifying and quantifying differences between different municipalities' municipal solid waste (MSW) collection quantities based on data from waste management and on socio-economic indicators. A large set of 116 indicators from 542 municipalities in the Province of Styria was investigated. The resulting regression model included municipal tax revenue per capita, household size and the percentage of buildings with solid fuel heating systems. The model explains 74.3% of the MSW variation and the model assumptions are met. Other factors such as tourism, home composting or age distribution of the population did not significantly improve the model. According to the model, 21% of MSW collected in Styria was commercial waste and 18% of the generated MSW was burned in domestic heating systems. While the percentage of commercial waste is consistent with literature data, practically no literature data are available for the quantity of MSW burned, which seems to be overestimated by the model. The resulting regression model was used as basis for a waste prognosis model (Beigl and Lebersorger, in preparation).

Authors:

Lebersorger, S ^[1]; Beigl, P ^[1]

Institute of Waste Management, Department of Water, Atmosphere and Environment, University of Natural Resources and Life Sciences, Vienna, Muthgasse 107, A-1190 Wien (Austria)

Publication Date:: Thu Sep 15 00:00:00 EDT 2011

OSTI Identifier:: 21578467

Resource Type:: Journal Article

Journal Name:: Waste Management

Additional Journal Information:: Journal Volume: 31; Journal Issue: 9-10; Other Information: DOI: 10.1016/j.wasman.2011.05.016; PII: S0956-053X(11)00258-3; Copyright (c) 2011 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Journal ID: ISSN 0956-053X

Country of Publication:: United States

Language:: English

Subject:: 29 ENERGY PLANNING, POLICY AND ECONOMY; 12 MANAGEMENT OF RADIOACTIVE WASTES, AND NON-RADIOACTIVE WASTES FROM NUCLEAR FACILITIES; COMPOSTING; HEATING SYSTEMS; HOUSEHOLDS; MUNICIPAL WASTES; PLANNING; POPULATIONS; SOLID FUELS; SOLID WASTES; TAXES; TOURISM; ENERGY SYSTEMS; FUELS; MANAGEMENT; PROCESSING; WASTE MANAGEMENT; WASTE PROCESSING; WASTES

Citation Formats


                    Lebersorger, S, and Beigl, P. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel.  United States: N. p., 2011. 
        Web.  doi:10.1016/j.wasman.2011.05.016.

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                    Lebersorger, S, & Beigl, P. Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel.  United States.  https://doi.org/10.1016/j.wasman.2011.05.016

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                    Lebersorger, S, and Beigl, P. 2011.  
        "Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel".  United States.  https://doi.org/10.1016/j.wasman.2011.05.016.

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@article{osti_21578467,

  title        = {Municipal solid waste generation in municipalities: Quantifying impacts of household structure, commercial waste and domestic fuel},

  author       = {Lebersorger, S and Beigl, P},

  abstractNote = {Waste management planning requires reliable data concerning waste generation, influencing factors on waste generation and forecasts of waste quantities based on facts. This paper aims at identifying and quantifying differences between different municipalities' municipal solid waste (MSW) collection quantities based on data from waste management and on socio-economic indicators. A large set of 116 indicators from 542 municipalities in the Province of Styria was investigated. The resulting regression model included municipal tax revenue per capita, household size and the percentage of buildings with solid fuel heating systems. The model explains 74.3% of the MSW variation and the model assumptions are met. Other factors such as tourism, home composting or age distribution of the population did not significantly improve the model. According to the model, 21% of MSW collected in Styria was commercial waste and 18% of the generated MSW was burned in domestic heating systems. While the percentage of commercial waste is consistent with literature data, practically no literature data are available for the quantity of MSW burned, which seems to be overestimated by the model. The resulting regression model was used as basis for a waste prognosis model (Beigl and Lebersorger, in preparation).},

  doi          = {10.1016/j.wasman.2011.05.016},

  url          = {https://www.osti.gov/biblio/21578467},
  journal      = {Waste Management},

  issn         = {0956-053X},

  number       = 9-10,

  volume       = 31,

  place        = {United States},

  year         = {Thu Sep 15 00:00:00 EDT 2011},

  month        = {Thu Sep 15 00:00:00 EDT 2011}

}

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