On the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andes

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dc.citation.journalTitleENVIRONMENTAL SCIENCE AND POLLUTION RESEARCHeng
dc.contributor.authorQuintero Montoya, O. L.
dc.contributor.authorNino-Ruiz, Elias D.
dc.contributor.authorPinel, Nicolas
dc.contributor.departmentUniversidad EAFIT. Escuela de Cienciasspa
dc.contributor.researchgroupModelado Matemáticospa
dc.date.accessioned2021-04-12T14:07:18Z
dc.date.available2021-04-12T14:07:18Z
dc.date.issued2020-04-25
dc.description.abstractAir pollution assessment in the Tropical Andes requires a multidisciplinary approach. This can be supported from the understanding of the underlying biological dynamics and atmospheric behavior, to the mathematical approach for the proper use of all available information. This review paper touches on several aspects in which mathematical models can help to solve challenging problems regarding air pollution in reviewing the state-of-the-art at the global level and assessing the corresponding state of development as applied to the Tropical Andes. We address the complexities and challenges that modelling atmospheric dynamics in a mega-diverse region with abrupt topography entails. Understanding the relevance of monitoring and facing the problems of data scarcity, we call attention to the usefulness of data assimilation for uncertainty reduction, and how these techniques could help tackle the scarcity of regional monitoring networks to accelerate the implementation and development of modelling systems for air quality in the Tropical Andes. Finally, we suggest a cyberphysical framework for decision-making processes based on the data assimilation of chemical transport models, the forecast of scenarios, and their use in regulation and policy making. © 2020, Springer-Verlag GmbH Germany, part of Springer Nature.eng
dc.identifierhttps://eafit.fundanetsuite.com/Publicaciones/ProdCientif/PublicacionFrw.aspx?id=11549
dc.identifier.doi10.1007/s11356-020-08268-4
dc.identifier.issn09441344
dc.identifier.issn16147499
dc.identifier.otherWOS;000528661200006
dc.identifier.otherPUBMED;32335834
dc.identifier.otherSCOPUS;2-s2.0-85084126941
dc.identifier.urihttp://hdl.handle.net/10784/27822
dc.language.isoengeng
dc.publisherSpringer Verlag
dc.relation.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85084126941&doi=10.1007%2fs11356-020-08268-4&partnerID=40&md5=89bacbb61e9ca913fa3c8c6ba158e3d0
dc.rightshttps://v2.sherpa.ac.uk/id/publication/issn/0944-1344
dc.sourceENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
dc.subject.keywordair qualityeng
dc.subject.keywordatmospheric pollutioneng
dc.subject.keyworddata assimilationeng
dc.subject.keyworddecision makingeng
dc.subject.keywordmodelingeng
dc.subject.keywordpolicy makingeng
dc.subject.keywordtropical environmenteng
dc.subject.keywordAndeseng
dc.subject.keywordair pollutanteng
dc.subject.keywordair pollutioneng
dc.subject.keywordenvironmental monitoringeng
dc.subject.keywordmanagementeng
dc.subject.keywordtheoretical modeleng
dc.subject.keywordAir Pollutantseng
dc.subject.keywordAir Pollutioneng
dc.subject.keywordEnvironmental Monitoringeng
dc.subject.keywordModelseng
dc.subject.keywordTheoreticaleng
dc.subject.keywordPolicy Makingeng
dc.titleOn the mathematical modelling and data assimilation for air pollution assessment in the Tropical Andeseng
dc.typearticleeng
dc.typeinfo:eu-repo/semantics/articleeng
dc.typeinfo:eu-repo/semantics/publishedVersioneng
dc.typepublishedVersioneng
dc.type.localArtículospa

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