Universidade Federal do Mato Grosso do Sul/UFMS, Faculdade de Engenharias, Arquitetura e Urbanismo e Geografia/FAENG, Laboratório de Geoprocessamento para Aplicações Ambientais, Cidade Universitária, Av. Costa e Silva, s/n, Pioneiros, 79070-900 Campo Grande, MS, Brazil.
Instituto Brasileiro de Geografia e Estatística/IBGE, Coordenação Operacional de Censos/COC, Av. Franklin Roosevelt, 166, Castelo, 166, 10° andar, 20021-120 Rio de Janeiro, RJ, Brazil.
An Acad Bras Cienc. 2022 Jul 18;94(3):e20210207. doi: 10.1590/0001-3765202220210207. eCollection 2022.
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.
城市固体废物管理（USWM）是影响可持续城市的因素之一。它是实现可持续发展目标（SDGs）和 2030 年议程的基本因素。本文旨在验证用于估算巴西南马托格罗索州坎波格兰德市因缺乏回收而造成的经济损失的固体废物产生数学模型。采用的模型由 Dias 等人（2012 年）开发，该模型允许根据社会经济指标（如人均收入、社会阶层和特定城市地区的人口规模）预测居民产生的废物质量。此外，还分析了废物成分，以确定重量特征的价值和份额，以便估算没有进行家庭固体废物（HSW）选择性收集的地区的经济损失。该模型与实际收集的 HSW 质量相比具有很强的一致性。由于选择性收集带来的经济损失接近 960 万美元，即每人每年约 11 美元。该研究可以为在具有类似特征的任何其他城市执行的与 USWM 相关的项目和公共政策的经济评估提供支持。
