Literature DB >> 22609529

Analysis of collection systems for sorted household waste in Spain.

Antonio Gallardo1, María D Bovea, Francisco J Colomer, Míriam Prades.   

Abstract

This work analyses the separate collection systems used in Spanish towns with between 5000 and 50,000 inhabitants. The study looks at the systems and their efficiency by means of the indicators fractioning rate, quality in container rate and separation rate. The results obtained are compared with those from a similar study conducted earlier that was applied to towns and cities with populations over 50,000. It can be concluded that the most widely implemented system in Spain involves the collection of mixed waste from kerbside bins and picking up paper/cardboard, glass and lightweight packaging from drop-off points. Findings show that the best system is the one that collects mixed waste, organic material and multiproduct waste door-to-door, and glass from drop-off points. The indicator separation rate made it possible to establish beta regression models to analyse the influence of the following logistic variables: inhabitants per point (people/pt), time (years) and frequency of collection (freq). From these models it can be seen that people/pt has a negative effect on all the fractions, while freq and years have a positive effect in the case of paper.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22609529     DOI: 10.1016/j.wasman.2012.04.006

Source DB:  PubMed          Journal:  Waste Manag        ISSN: 0956-053X            Impact factor:   7.145


  2 in total

1.  Factors determining waste generation in Spanish towns and cities.

Authors:  Miriam Prades; Antonio Gallardo; Maria Victoria Ibàñez
Journal:  Environ Monit Assess       Date:  2014-12-10       Impact factor: 2.513

2.  Residents' preferences for household kitchen waste source separation services in Beijing: a choice experiment approach.

Authors:  Yalin Yuan; Mitsuyasu Yabe
Journal:  Int J Environ Res Public Health       Date:  2014-12-23       Impact factor: 3.390

  2 in total

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