Department of Environmental Engineering, Santo Tomás University, Bogotá 110231, Colombia.
Instituto de Ingeniería del Agua y del Medio Ambiente (IIAMA), Universitat Politècnica de València, 46022 València, Spain.
Int J Environ Res Public Health. 2020 Feb 13;17(4):1196. doi: 10.3390/ijerph17041196.
One of the main environmental issues to address in large urban areas is the ever-increasing generation of municipal solid waste (MSW) and the need to manage it properly. Despite significant efforts having been made to implement comprehensive solid waste management systems, current management methods often do not provide sustainable alternatives which ensure the reduction of solid waste generation. This paper presents an analytical methodology that employs a combination of geographic information system techniques (GIS) along with statistical and numerical optimization methods to evaluate solid waste generation in large urban areas. The methodology was successfully applied to evaluate MSW generation in different exclusive service areas (ASES) of the city of Bogotá (Colombia). The results of the analysis on the solid waste generation data in each collection area in terms of its socioeconomic level are presented below. These socioeconomic levels are explained by defining different strata in terms of their purchasing power. The results demonstrate the usefulness of these GIS and numerical optimization techniques as a valuable complementary tool to analyze and design efficient and sustainable solid waste management systems.
在大型城市地区，需要解决的主要环境问题之一是不断增加的城市固体废物（MSW）的产生，以及需要对其进行妥善管理。尽管已经做出了重大努力来实施全面的固体废物管理系统，但目前的管理方法往往不能提供可持续的替代方案，以确保减少固体废物的产生。本文提出了一种分析方法，该方法结合使用地理信息系统技术（GIS）以及统计和数值优化方法，以评估大型城市的固体废物产生情况。该方法成功应用于评估哥伦比亚波哥大市不同专属服务区（ASES）的 MSW 产生情况。根据每个收集区域的社会经济水平对固体废物产生数据进行分析的结果如下。通过根据购买力定义不同的阶层来解释这些社会经济水平。结果表明，这些 GIS 和数值优化技术作为一种有价值的补充工具，可用于分析和设计高效和可持续的固体废物管理系统。
