Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil

Detalhes bibliográficos
Autor(a) principal: Pisani, Reinaldo
Data de Publicação: 2018
Outros Autores: Avezum Alves de Castro, Marcus Cesar [UNESP], Costa, Antonio Alvares da
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s10163-017-0687-0
http://hdl.handle.net/11449/164060
Resumo: Predicting municipal solid waste (MSW) generation is fundamental in choosing and scaling the processes involved in municipal management. The challenge for financial sustainability is to create indicators that enable MSW fees to be charged in proportion to the amount generated by each resident. Mathematical functions were tested to adjust the per capita waste generation rate (PCWG) in the municipalities of the state of So Paulo, based on population (P), per capita income (PCI) and per capita energy consumption (PCE). The dataset involved 238 municipalities in 2013 and 251 municipalities in 2014 that routinely weighed their wastes. The averaged PCWG increased from 0.65 to 0.90 kg inh.(- 1) day(- 1) (increment of 38%) when population enhanced from the range of 0-25,000 to 100,001-500,000 inh., mean per capita income grew from 10.1 to 13.6 USD inh.(- 1) day(- 1), and mean per capita electricity consumption expanded from 6.9 to 10.9 kWh inh.(- 1) day(- 1). The equation that best represented the data set resulted in r of 0.49, R (2) of 0.24, RMSE of 0.224 kg inh.(- 1) day(- 1) and E (p) of - 12.3%. Despite the relatively low R (2), it was demonstrated by Student's t test that the proposed equation was able to represent mean values and result in the same variance with more than 99% probability.
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spelling Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, BrazilMunicipal solid wastePer capita generation rateRegression analysisForecastingPredicting municipal solid waste (MSW) generation is fundamental in choosing and scaling the processes involved in municipal management. The challenge for financial sustainability is to create indicators that enable MSW fees to be charged in proportion to the amount generated by each resident. Mathematical functions were tested to adjust the per capita waste generation rate (PCWG) in the municipalities of the state of So Paulo, based on population (P), per capita income (PCI) and per capita energy consumption (PCE). The dataset involved 238 municipalities in 2013 and 251 municipalities in 2014 that routinely weighed their wastes. The averaged PCWG increased from 0.65 to 0.90 kg inh.(- 1) day(- 1) (increment of 38%) when population enhanced from the range of 0-25,000 to 100,001-500,000 inh., mean per capita income grew from 10.1 to 13.6 USD inh.(- 1) day(- 1), and mean per capita electricity consumption expanded from 6.9 to 10.9 kWh inh.(- 1) day(- 1). The equation that best represented the data set resulted in r of 0.49, R (2) of 0.24, RMSE of 0.224 kg inh.(- 1) day(- 1) and E (p) of - 12.3%. Despite the relatively low R (2), it was demonstrated by Student's t test that the proposed equation was able to represent mean values and result in the same variance with more than 99% probability.Univ Ribeirao Preto, Postgrad Program Environm Technol, Ave Costabile Romano 2201, BR-14096900 Ribeirao Preto, SP, BrazilJulio de Mesquita Filho Univ, Inst Geosci & Exact Sci, Dept Appl Geol, Rio Claro Campus,Ave 24-A,1515 Bela Vista, BR-13506900 Rio Claro, SP, BrazilJulio de Mesquita Filho Univ, Inst Geosci & Exact Sci, Dept Appl Geol, Rio Claro Campus,Ave 24-A,1515 Bela Vista, BR-13506900 Rio Claro, SP, BrazilSpringerUniv Ribeirao PretoUniversidade Estadual Paulista (Unesp)Pisani, ReinaldoAvezum Alves de Castro, Marcus Cesar [UNESP]Costa, Antonio Alvares da2018-11-26T17:48:57Z2018-11-26T17:48:57Z2018-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1216-1227application/pdfhttp://dx.doi.org/10.1007/s10163-017-0687-0Journal Of Material Cycles And Waste Management. New York: Springer, v. 20, n. 2, p. 1216-1227, 2018.1438-4957http://hdl.handle.net/11449/16406010.1007/s10163-017-0687-0WOS:000429111800047WOS000429111800047.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Material Cycles And Waste Management0,491info:eu-repo/semantics/openAccess2024-01-16T06:29:45Zoai:repositorio.unesp.br:11449/164060Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T23:09:01.318798Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
title Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
spellingShingle Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
Pisani, Reinaldo
Municipal solid waste
Per capita generation rate
Regression analysis
Forecasting
title_short Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
title_full Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
title_fullStr Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
title_full_unstemmed Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
title_sort Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
author Pisani, Reinaldo
author_facet Pisani, Reinaldo
Avezum Alves de Castro, Marcus Cesar [UNESP]
Costa, Antonio Alvares da
author_role author
author2 Avezum Alves de Castro, Marcus Cesar [UNESP]
Costa, Antonio Alvares da
author2_role author
author
dc.contributor.none.fl_str_mv Univ Ribeirao Preto
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Pisani, Reinaldo
Avezum Alves de Castro, Marcus Cesar [UNESP]
Costa, Antonio Alvares da
dc.subject.por.fl_str_mv Municipal solid waste
Per capita generation rate
Regression analysis
Forecasting
topic Municipal solid waste
Per capita generation rate
Regression analysis
Forecasting
description Predicting municipal solid waste (MSW) generation is fundamental in choosing and scaling the processes involved in municipal management. The challenge for financial sustainability is to create indicators that enable MSW fees to be charged in proportion to the amount generated by each resident. Mathematical functions were tested to adjust the per capita waste generation rate (PCWG) in the municipalities of the state of So Paulo, based on population (P), per capita income (PCI) and per capita energy consumption (PCE). The dataset involved 238 municipalities in 2013 and 251 municipalities in 2014 that routinely weighed their wastes. The averaged PCWG increased from 0.65 to 0.90 kg inh.(- 1) day(- 1) (increment of 38%) when population enhanced from the range of 0-25,000 to 100,001-500,000 inh., mean per capita income grew from 10.1 to 13.6 USD inh.(- 1) day(- 1), and mean per capita electricity consumption expanded from 6.9 to 10.9 kWh inh.(- 1) day(- 1). The equation that best represented the data set resulted in r of 0.49, R (2) of 0.24, RMSE of 0.224 kg inh.(- 1) day(- 1) and E (p) of - 12.3%. Despite the relatively low R (2), it was demonstrated by Student's t test that the proposed equation was able to represent mean values and result in the same variance with more than 99% probability.
publishDate 2018
dc.date.none.fl_str_mv 2018-11-26T17:48:57Z
2018-11-26T17:48:57Z
2018-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s10163-017-0687-0
Journal Of Material Cycles And Waste Management. New York: Springer, v. 20, n. 2, p. 1216-1227, 2018.
1438-4957
http://hdl.handle.net/11449/164060
10.1007/s10163-017-0687-0
WOS:000429111800047
WOS000429111800047.pdf
url http://dx.doi.org/10.1007/s10163-017-0687-0
http://hdl.handle.net/11449/164060
identifier_str_mv Journal Of Material Cycles And Waste Management. New York: Springer, v. 20, n. 2, p. 1216-1227, 2018.
1438-4957
10.1007/s10163-017-0687-0
WOS:000429111800047
WOS000429111800047.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Journal Of Material Cycles And Waste Management
0,491
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 1216-1227
application/pdf
dc.publisher.none.fl_str_mv Springer
publisher.none.fl_str_mv Springer
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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