dc.creatorDUARTE, EDICLE de S.F.
dc.creatorFRANKE, PHILIPP
dc.creatorLANGE, ANNE C.
dc.creatorFRIESE, ELMAR
dc.creatorLOPES, FABIO J. da S.
dc.creatorSILVA, JONATAN J. da
dc.creatorREIS, JEAN S. dos
dc.creatorLANDULFO, EDUARDO
dc.creatorSILVA, CLAUDIO M.S. e
dc.creatorELBERN, HENDRIK
dc.creatorHOELZEMANN, JUDITH J.
dc.date2021
dc.date2021-04-06T13:28:54Z
dc.date2021-04-06T13:28:54Z
dc.date.accessioned2023-09-28T14:18:24Z
dc.date.available2023-09-28T14:18:24Z
dc.identifier1309-1042
dc.identifierhttp://repositorio.ipen.br/handle/123456789/31973
dc.identifier2
dc.identifier12
dc.identifier10.1016/j.apr.2020.12.006
dc.identifier0000-0002-9691-5306
dc.identifier66.85
dc.identifier78.00
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9002196
dc.descriptionWe present a high-resolution air quality study over S??o Paulo, Brazil with the EURopean Air Pollution Dispersion - Inverse Model (EURAD-IM) used for the first time over South America simulating detailed features of aerosols. Modeled data are evaluated with observational surface data and a Lidar. Two case studies in 2016 with distinct meteorological conditions and pollution plume features show transport (i) from central South America, associated to biomass burning activities, (ii) from the rural part of the state of S??o Paulo, (iii) between the metropolitan areas of Rio de Janeiro and S??o Paulo (MASP) either through the Para??ba Valley or via the ocean, connecting Brazil's two largest cities, (iv) from the port-city Santos to MASP and also from MASP to the city Campinas, and vice versa. A Pearson coefficient of 0.7 was found for PM10 at MASP CENTER and EURAD-IM simulations vary within the observational standard deviation, with a Mean Percentual Error (MPE) of 10%. The model's vertical distributions of aerosol layers agree with the Lidar profiles that show either characteristics of long-range transported biomass burning plumes, or of local pollution. The distinct transport patterns that agree with satellite Aerosol Optical Death and fire spot images as well as with the ground-based observations within the standard deviations, allows us exploring patterns of air pollution in a detailed manner and to understand the complex interactions between local to long-range transport sources.
dc.descriptionCoordena????o de Aperfei??oamento de Pessoal de N??vel Superior (CAPES)
dc.descriptionCAPES: 001
dc.format451-469
dc.relationAtmospheric Pollution Research
dc.rightsopenAccess
dc.subjectair pollution
dc.subjecturban areas
dc.subjectevaluation
dc.subjectaerosols
dc.subjectatmospheres
dc.subjectair pollution monitoring
dc.subjectcombustion
dc.subjectenvironmental impacts
dc.titleEvaluation of atmospheric aerosols in the metropolitan area of S??o Paulo simulated by the regional EURAD-IM model on high-resolution
dc.typeArtigo de peri??dico
dc.coverageI


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