Solid waste generation model validation and economic loss estimation due lack of recycling

Detalhes bibliográficos
Autor(a) principal: ÁSPET,CAIO T.
Data de Publicação: 2022
Outros Autores: DIAS,DAVID M., MARTINEZ,CARLOS B., PARANHOS,ANTONIO C.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000501702
Resumo: Abstract Urban Solid Waste Management (USWM) is one of the components that influences in the sustainable cities. It is a fundamental factor in achieving the Sustainable Development Goals (SDGs), 2030 agenda. This paper work aims to validate a mathematical model for solid waste generation and to estimate the economic loss due lack of recycling in the city of Campo Grande, State of Mato Grosso do Sul/Brazil. The model adopted was developed by Dias et. al. (2012), which allows projecting the mass of waste to be generated by the inhabitants from socioeconomic indicators, such as per capita income, social classes and size of population in a specific urban territory. Besides, waste composition was analyzed to determinate the value and share of the gravimetric characterization, in order to estimate the economic loss in areas, which there are no selective collection of Household Solid Waste (HSW). The model showed strong adherence, when compared to the real mass of HSW collected. The economic loss due to selective collection approaches nearly 9.6 million US$, or about 11 US$ per person per year. The study can provide support for economic evaluation of project sand public policies related to USWM executed in any other city with similar characteristics.
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spelling Solid waste generation model validation and economic loss estimation due lack of recyclingHousehold solid wasteurban solid waste managementwaste generation modelvalidation of mathematical modelAbstract Urban Solid Waste Management (USWM) is one of the components that influences in the sustainable cities. It is a fundamental factor in achieving the Sustainable Development Goals (SDGs), 2030 agenda. This paper work aims to validate a mathematical model for solid waste generation and to estimate the economic loss due lack of recycling in the city of Campo Grande, State of Mato Grosso do Sul/Brazil. The model adopted was developed by Dias et. al. (2012), which allows projecting the mass of waste to be generated by the inhabitants from socioeconomic indicators, such as per capita income, social classes and size of population in a specific urban territory. Besides, waste composition was analyzed to determinate the value and share of the gravimetric characterization, in order to estimate the economic loss in areas, which there are no selective collection of Household Solid Waste (HSW). The model showed strong adherence, when compared to the real mass of HSW collected. The economic loss due to selective collection approaches nearly 9.6 million US$, or about 11 US$ per person per year. The study can provide support for economic evaluation of project sand public policies related to USWM executed in any other city with similar characteristics.Academia Brasileira de Ciências2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652022000501702Anais da Academia Brasileira de Ciências v.94 n.3 2022reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202220210207info:eu-repo/semantics/openAccessÁSPET,CAIO T.DIAS,DAVID M.MARTINEZ,CARLOS B.PARANHOS,ANTONIO C.eng2022-07-14T00:00:00Zoai:scielo:S0001-37652022000501702Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2022-07-14T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Solid waste generation model validation and economic loss estimation due lack of recycling
title Solid waste generation model validation and economic loss estimation due lack of recycling
spellingShingle Solid waste generation model validation and economic loss estimation due lack of recycling
ÁSPET,CAIO T.
Household solid waste
urban solid waste management
waste generation model
validation of mathematical model
title_short Solid waste generation model validation and economic loss estimation due lack of recycling
title_full Solid waste generation model validation and economic loss estimation due lack of recycling
title_fullStr Solid waste generation model validation and economic loss estimation due lack of recycling
title_full_unstemmed Solid waste generation model validation and economic loss estimation due lack of recycling
title_sort Solid waste generation model validation and economic loss estimation due lack of recycling
author ÁSPET,CAIO T.
author_facet ÁSPET,CAIO T.
DIAS,DAVID M.
MARTINEZ,CARLOS B.
PARANHOS,ANTONIO C.
author_role author
author2 DIAS,DAVID M.
MARTINEZ,CARLOS B.
PARANHOS,ANTONIO C.
author2_role author
author
author
dc.contributor.author.fl_str_mv ÁSPET,CAIO T.
DIAS,DAVID M.
MARTINEZ,CARLOS B.
PARANHOS,ANTONIO C.
dc.subject.por.fl_str_mv Household solid waste
urban solid waste management
waste generation model
validation of mathematical model
topic Household solid waste
urban solid waste management
waste generation model
validation of mathematical model
description Abstract Urban Solid Waste Management (USWM) is one of the components that influences in the sustainable cities. It is a fundamental factor in achieving the Sustainable Development Goals (SDGs), 2030 agenda. This paper work aims to validate a mathematical model for solid waste generation and to estimate the economic loss due lack of recycling in the city of Campo Grande, State of Mato Grosso do Sul/Brazil. The model adopted was developed by Dias et. al. (2012), which allows projecting the mass of waste to be generated by the inhabitants from socioeconomic indicators, such as per capita income, social classes and size of population in a specific urban territory. Besides, waste composition was analyzed to determinate the value and share of the gravimetric characterization, in order to estimate the economic loss in areas, which there are no selective collection of Household Solid Waste (HSW). The model showed strong adherence, when compared to the real mass of HSW collected. The economic loss due to selective collection approaches nearly 9.6 million US$, or about 11 US$ per person per year. The study can provide support for economic evaluation of project sand public policies related to USWM executed in any other city with similar characteristics.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202220210207
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dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.94 n.3 2022
reponame:Anais da Academia Brasileira de Ciências (Online)
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