Influence of population, income and electricity consumption on per capita municipal solid waste generation in So Paulo State, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
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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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 |
|
_version_ |
1808129495016669184 |