Literature DB >> 15016437

A qualitative tool combining an interaction matrix and a GIS to map vulnerability to traffic induced air pollution.

Maria Mavroulidou1, Susan J Hughes, Emma E Hellawell.   

Abstract

Local authorities and transport planners need fast and straightforward tools to perform their preliminary air quality assessments. Such tools are required to provide an initial impression of the local air quality and to highlight areas requiring a more rigorous investigation. This paper presents a technique to develop such a tool, for performing an initial assessment of air quality due to traffic in an urban area. The technique combines an interaction matrix methodology as developed for rock engineering systems, with Geographical Information System (GIS) map overlaying. This interaction matrix methodology incorporates a total system approach, which identifies the main parameters and quantifies the interactions between them. Weighting values for these parameters are obtained either through parametric studies, using numerical modelling, or from engineering judgement. These weightings are applied to spatial datasets for a study area using a GIS. The GIS results are presented in the form of a vulnerability map, which highlights the areas susceptible to poor air quality. This visual interpretation of the results is ideal for local authorities, who have to report to a wide range of non-specialists in the field, for example, planners, councillors and the public. The vulnerability map compares favourably with pollutant concentration patterns, obtained from an advanced dispersion model.

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Year:  2004        PMID: 15016437     DOI: 10.1016/j.jenvman.2003.12.002

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  1 in total

1.  An evaluation of improvements in the air quality of Beijing arising from the use of new vehicle emission standards.

Authors:  Taosheng Jin; Jiajia Gao; Lixin Fu; Yi Ai; Xiaohong Xu
Journal:  Environ Monit Assess       Date:  2011-05-17       Impact factor: 2.513

  1 in total

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