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Article: Fuzzy logic approach for description of meteorological impacts on urban air pollution species: A Hong Kong case study

TitleFuzzy logic approach for description of meteorological impacts on urban air pollution species: A Hong Kong case study
Authors
KeywordsFuzzy Sets
Short-Term Forecasting
Urban Air Pollutant Simulation
Issue Date2002
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cageo
Citation
Computers And Geosciences, 2002, v. 28 n. 1, p. 119-127 How to Cite?
AbstractAn alternative approach to the conventional dynamic and photochemical models is presented to forecast urban air pollutants operationally. It is well known that there are some practical difficulties, which prevent the necessary progress in the development of these models as a forecasting tool. A fuzzy logic based method has been developed here to study the impact of meteorological factors on the evolution of air pollutant levels and to describe them quantitatively. This method meets all requirements but needs substantial amount of observational data. The developed model is based on simulation of diurnal cycles of principal meteorological variables (wind speed and direction, solar irradiance and air temperature) and the corresponding duirnal patterns of various air pollutants (O3,NO2,NO,NOy). In addition, the spatial patterns of these parameters are also studied. Both temporal and spatial parameter distributions have been considered in order to investigate impacts of meteorological factors and they are incorporated into the models as state vectors in the multidimensional space. Here we suggest that most of the weather and air pollution phenomena could be simulated by sequences of its conservation inside some fuzzy sets and the transition from one fuzzy set to another. Therefore, the important key point here is the development of the transition rules. © 2002 Elsevier Science Ltd. All rights reserved.
Persistent Identifierhttp://hdl.handle.net/10722/157835
ISSN
2015 Impact Factor: 2.474
2015 SCImago Journal Rankings: 1.268
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorPokrovsky, OMen_US
dc.contributor.authorKwok, RHFen_US
dc.contributor.authorNg, CNen_US
dc.date.accessioned2012-08-08T08:55:53Z-
dc.date.available2012-08-08T08:55:53Z-
dc.date.issued2002en_US
dc.identifier.citationComputers And Geosciences, 2002, v. 28 n. 1, p. 119-127en_US
dc.identifier.issn0098-3004en_US
dc.identifier.urihttp://hdl.handle.net/10722/157835-
dc.description.abstractAn alternative approach to the conventional dynamic and photochemical models is presented to forecast urban air pollutants operationally. It is well known that there are some practical difficulties, which prevent the necessary progress in the development of these models as a forecasting tool. A fuzzy logic based method has been developed here to study the impact of meteorological factors on the evolution of air pollutant levels and to describe them quantitatively. This method meets all requirements but needs substantial amount of observational data. The developed model is based on simulation of diurnal cycles of principal meteorological variables (wind speed and direction, solar irradiance and air temperature) and the corresponding duirnal patterns of various air pollutants (O3,NO2,NO,NOy). In addition, the spatial patterns of these parameters are also studied. Both temporal and spatial parameter distributions have been considered in order to investigate impacts of meteorological factors and they are incorporated into the models as state vectors in the multidimensional space. Here we suggest that most of the weather and air pollution phenomena could be simulated by sequences of its conservation inside some fuzzy sets and the transition from one fuzzy set to another. Therefore, the important key point here is the development of the transition rules. © 2002 Elsevier Science Ltd. All rights reserved.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/cageoen_US
dc.relation.ispartofComputers and Geosciencesen_US
dc.subjectFuzzy Setsen_US
dc.subjectShort-Term Forecastingen_US
dc.subjectUrban Air Pollutant Simulationen_US
dc.titleFuzzy logic approach for description of meteorological impacts on urban air pollution species: A Hong Kong case studyen_US
dc.typeArticleen_US
dc.identifier.emailNg, CN:cnng@hkucc.hku.hken_US
dc.identifier.authorityNg, CN=rp00606en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1016/S0098-3004(01)00020-6en_US
dc.identifier.scopuseid_2-s2.0-0036467977en_US
dc.identifier.hkuros81471-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-0036467977&selection=ref&src=s&origin=recordpageen_US
dc.identifier.volume28en_US
dc.identifier.issue1en_US
dc.identifier.spage119en_US
dc.identifier.epage127en_US
dc.identifier.isiWOS:000173632300016-
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridPokrovsky, OM=7003922483en_US
dc.identifier.scopusauthoridKwok, RHF=7103363163en_US
dc.identifier.scopusauthoridNg, CN=7401705590en_US

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