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dc.contributor.authorGonzález-Rocha, Sergio Natan
dc.contributor.authorBaldasano Recio, José María
dc.date.accessioned2015-06-04T10:48:13Z
dc.date.available2015-06-04T10:48:13Z
dc.date.issued2015-05-05
dc.identifier.citationGonzález-Rocha, Sergio Natan; Baldasano, Jose M. Evaluation of Modelling Systems in High Resolution to Assess the Air Pollutant Impacts on Human Health. A: "BSC Doctoral Symposium (2nd: 2015: Barcelona)". 2nd ed. Barcelona: Barcelona Supercomputing Center, 2015, p. 121-122.
dc.identifier.urihttp://hdl.handle.net/2099/16577
dc.description.abstractNowadays the modelling of systems in high resolution is being used for air quality and other forecasting applications, where a spatial area is related with different interrelated variables that could be displayed on a map. This area is usually represented by global domains (hundred to thousand of square km); when smaller regions need to be represented, a high resolution modelling system can be used, these systems goes from one square km to dozen of square km, health is one of these issues where this kind of resolution can be used. In Europe, Asia, North America, South America and other countries, health problems related with the air pollution and climate change is a concern for individuals and world organizations like the WHO; today studies show the relation between morbidity and mortality rates, air pollution and effects on human health; these modelling systems in high resolution help us to simulate scenarios and propose solutions to this problematic. So the objective of this work is to evaluate the system performance WRF – CMAQ and CALIOPE on high resolution (4 km x 4 km) to determine air pollutant impacts of PM10, PM2.5, Ozone, NO2 and SO2 on population, using BenMAP for assess impact on health. The methodology suggested is the time series analysis of two years of hospital admissions, morbidity and mortality rates and the air quality forecasting of the cities selected, previously modelled in WRF, CMAQ and CALIOPE; after that, the Response Functions (DRF/ERF) to determine the impacts on health and the BenMAP software will be used. It is expecting find the scenarios that could decrease the mortality and morbidity rates in diseases like lung cancer, chronic respiratory obstructive disease, asthma, and the acute respiratory diseases in adults and children under ten years old.
dc.format.extent2 p.
dc.language.isoeng
dc.publisherBarcelona Supercomputing Center
dc.relation.ispartofBSC Doctoral Symposium (2nd: 2015: Barcelona)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Informàtica::Arquitectura de computadors
dc.subject.lcshHigh performance computing
dc.subject.lcshSupercomputers
dc.subject.lcshAir -- Pollution -- Mathematical models
dc.titleEvaluation of modelling systems in high resolution to assess the air pollutant impacts on human health
dc.typeConference report
dc.subject.lemacCàlcul intensiu (Informàtica)
dc.subject.lemacSupercomputadors
dc.subject.lemacAire -- Contaminació -- Models matemàtics
dc.rights.accessOpen Access
upcommons.citation.authorGonzález-Rocha, Sergio Natan; Baldasano, Jose M.
upcommons.citation.pubplaceBarcelona
upcommons.citation.publishedtrue
upcommons.citation.publicationNameBSC Doctoral Symposium (2nd: 2015: Barcelona)
upcommons.citation.startingPage121
upcommons.citation.endingPage122
upcommons.citation.edition2nd


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain