Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/17680

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dc.contributor.authorSilva, Lígia Torres-
dc.contributor.authorMendes, José F. G.-
dc.date.accessioned2012-03-07T18:15:20Z-
dc.date.available2012-03-07T18:15:20Z-
dc.date.issued2011-08-
dc.identifier.isbn987-953-307-511-2-
dc.identifier.urihttps://hdl.handle.net/1822/17680-
dc.description.abstractGlobal population growth has led to increased populations living in urban areas. Often, this enhances stresses on space, ecosystems, infrastructures, facilities and personal lifestyles. Problems related to quality of life in cities are increasingly relevant, especially with regard to environmental issues. Due to a generalised increase of mobility and road traffic in urban areas, the total emissions from road traffic have risen significantly, assuming the main responsibility for the disregard of air quality standards. In urban environment the typical anthropogenic sources are mainly the road traffic and, when existing, the industrial activity. The quantitative evaluation of traffic air pollution levels is the basis on which air pollution control policies stand. The evaluation of air quality may be occasional or long-term. Occasional evaluation is useful in the context of information and alert systems for the population, working normally in real or almost-real time. Data is acquired through measurements made on an hourly or daily average basis and concentration episodes are evaluated and reported. When long-term data is considered, then we talk about long-term trend analysis. In order to find an air quality index, the pollutant concentrations are combined through a classification scale anchored on the legal limits and, on the other side, on the impacts over human health. Typically these classification models consider only the worse pollutant, i.e. the one which concentration is higher given a certain scale. Two air quality evaluation models are referred, both working in real time: a Canadian and a Portuguese experience. The objective of this chapter is to present a new air quality index, cityAIR, developed for urban contexts. The mathematical formulation of cityAIR stands on two logics: whenever at least one of the pollutants considered overcomes the legal limits for the concentration, this will be the only relevant one for the index calculation, and the value will be the minimum of the scale (zero or red); when there is no limit violation, then all the pollutants are considered for the overall air quality, which is calculated through a multi-criteria combination of the concentrations, where trade-off is allowed. A long-term model is proposed and applied to two mid-sized Portuguese cities. A cityAIR values surface was calculated for Viana do Castelo and Braga considering concentrations of CO, NO2, O3, C6H6 and PM10.por
dc.language.isoengpor
dc.publisherIntechOpenpor
dc.rightsrestrictedAccesspor
dc.subjectUrban air pollution indexpor
dc.subjectAir pollution modellingpor
dc.titleA new air quality index for citiespor
dc.typebookPartpor
dc.peerreviewedyespor
dc.relation.publisherversionwww.intechopen.compor
sdum.publicationstatuspublishedpor
oaire.citationStartPage455por
oaire.citationEndPage472por
oaire.citationTitleAdvanced Air Pollutionpor
dc.subject.wosScience & Technologypor
sdum.bookTitleAdvanced Air Pollutionpor
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