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| Hauptseite > Publikationsdatenbank > Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution > print |
| Hauptseite > Publikationsdatenbank > Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution > print |
| 001 | 902391 | ||
| 005 | 20240709081631.0 | ||
| 024 | 7 | _ | |a 10.1016/j.apr.2020.12.006 |2 doi |
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| 037 | _ | _ | |a FZJ-2021-04225 |
| 100 | 1 | _ | |a De Souza Fernandes Duarte, Ediclê |0 P:(DE-Juel1)177080 |b 0 |
| 245 | _ | _ | |a Evaluation of atmospheric aerosols in the metropolitan area of São Paulo simulated by the regional EURAD-IM model on high-resolution |
| 260 | _ | _ | |a Blackburn, Vic. |c 2021 |b TUNCAP |
| 336 | 7 | _ | |a article |2 DRIVER |
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| 520 | _ | _ | |a We present a high-resolution air quality study over São 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 São Paulo, (iii) between the metropolitan areas of Rio de Janeiro and São Paulo (MASP) either through the Paraíba 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. |
| 536 | _ | _ | |a 2111 - Air Quality (POF4-211) |0 G:(DE-HGF)POF4-2111 |c POF4-211 |f POF IV |x 0 |
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| 700 | 1 | _ | |a Franke, Philipp |0 P:(DE-Juel1)162342 |b 1 |
| 700 | 1 | _ | |a Lange, Anne Caroline |0 P:(DE-Juel1)162344 |b 2 |
| 700 | 1 | _ | |a Friese, Elmar |0 P:(DE-Juel1)176996 |b 3 |
| 700 | 1 | _ | |a Juliano da Silva Lopes, Fábio |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a João da Silva, Jonatan |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Souza dos Reis, Jean |0 0000-0002-1674-7518 |b 6 |
| 700 | 1 | _ | |a Landulfo, Eduardo |0 0000-0002-9691-5306 |b 7 |
| 700 | 1 | _ | |a Santos e Silva, Cláudio Moises |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Elbern, Hendrik |0 P:(DE-Juel1)129194 |b 9 |
| 700 | 1 | _ | |a Hoelzemann, Judith Johanna |0 0000-0002-4865-5351 |b 10 |e Corresponding author |
| 773 | _ | _ | |a 10.1016/j.apr.2020.12.006 |g Vol. 12, no. 2, p. 451 - 469 |0 PERI:(DE-600)2645757-X |n 2 |p 451 - 469 |t Atmospheric pollution research |v 12 |y 2021 |x 1309-1042 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/902391/files/Duarte_et_al_2021_APR-D-20-00753_R2.pdf |y Published on 2020-12-23. Available in OpenAccess from 2022-12-23. |
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