Literature DB >> 32069919

Analytical Methodology for the Identification of Critical Zones on the Generation of Solid Waste in Large Urban Areas.

Johanna Karina Solano Meza1, Javier Rodrigo-Ilarri2, Claudia Patricia Romero Hernández2, Mª Elena Rodrigo-Clavero2.   

Abstract

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.

Entities:  

Keywords:  collection; final disposal; geographic information systems; minimization; solid waste; solid waste management

Year:  2020        PMID: 32069919     DOI: 10.3390/ijerph17041196

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  1 in total

1.  Willingness and Behaviors of Farmers' Green Disposal of Pesticide Packaging Waste in Henan, China: A Perceived Value Formation Mechanism Perspective.

Authors:  Mingyue Li; Jingjing Wang; Kai Chen; Lianbei Wu
Journal:  Int J Environ Res Public Health       Date:  2020-05-26       Impact factor: 3.390

  1 in total

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