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Metadados

1. Identificação
Tipo de ReferênciaArtigo em Evento (Conference Proceedings)
Sitemtc-m21b.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34P/3Q9JR72
Repositóriosid.inpe.br/mtc-m21b/2017/12.27.14.06
Última Atualização2020:10.08.14.42.08 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21b/2017/12.27.14.06.16
Última Atualização dos Metadados2022:03.18.22.12.21 (UTC) administrator
Chave SecundáriaINPE--PRE/
Chave de CitaçãoSáPJDHIYWTBCAGMSWAJM:2017:AnEmCh
TítuloAnthropogenic emissions change the amount and composition of organic PM1 in Amazonia
Ano2017
Data de Acesso03 maio 2024
Tipo SecundárioPRE CI
Número de Arquivos1
Tamanho79 KiB
2. Contextualização
Autor 1 Sá, Suzane S. de
 2 Palm, Brett B.
 3 Jost, Pedro Campuzano
 4 Day, Doug A.
 5 Hu, Weiwei
 6 Isaacman-VanWertz, Gabriel A.
 7 Yee, Lindsay
 8 Wernis, Rebecca Ann
 9 Thalman, Rayan
10 Brito, Joel F.
11 Carbone, Samara
12 Artaxo, Paulo
13 Goldstein, Allen H.
14 Manzi, Antônio Ocimar
15 Souza, Rodrigo Augusto Ferreira de
16 Wang, Jian
17 Alexander, M. Lizabeth L.
18 Jimenez, Jose L.
19 Martin, Scot T.
Grupo 1
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10
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14 CGCPT-CGCPT-INPE-MCTIC-GOV-BR
Afiliação 1 Harvard University
 2 University of Colorado
 3 Cooperative Institute for Research in Environmental Sciences
 4 CIRES
 5 Cooperative Institute for Research in Environmental Sciences
 6 Massachusetts Institute of Technology
 7 University of California Berkeley
 8 University of California Berkeley
 9 Brookhaven National Laboratory
10 Universidade de São Paulo (USP)
11 Universidade de São Paulo (USP)
12 Universidade de São Paulo (USP)
13 University of California Berkeley
14 Instituto Nacional de Pesquisas Espaciais (INPE)
15
16 Brookhaven National Lab
17 Pacific Northwest National Laboratory
18 CIRES
19 Harvard University
Endereço de e-Mail do Autor 1
 2
 3
 4
 5
 6
 7
 8
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10
11
12
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14 antonio.manzi@inpe.br
15
16 analaura.silva@inpe.br
Nome do EventoAGU Fall Meeting
Localização do EventoNew Orleans
Data11-15 Dec.
Título do LivroProceedings
Histórico (UTC)2017-12-27 14:06:16 :: simone -> administrator ::
2018-06-04 02:28:09 :: administrator -> simone :: 2017
2020-10-08 14:42:09 :: simone -> administrator :: 2017
2022-03-18 22:12:21 :: administrator -> simone :: 2017
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
ResumoThe Amazon forest, while one of the few regions on the globe where pristine conditions may still prevail, has experienced rapid changes due to increasing urbanization in the past decades. Manaus, a Brazilian city of 2-million people in the central Amazon basin, releases a pollution plume over the forest, potentially affecting the production pathways of particulate matter (PM) in the region. As part of GoAmazon2014/5, a high-resolution time-of-flight aerosol mass spectrometer (HR-ToF-AMS) and a suite of other gas and particle-phase instruments were deployed at the T3 research site, 70 km downwind of Manaus, during the wet and dry seasons. Through a combination of meteorology, emissions, and chemistry, the T3 site was affected by a mixture of biogenic emissions from the tropical rainforest, urban outflow from the Manaus metropolitan area and biomass burning plumes. Results from the T3 site are presented in the context of measurements at T0a/T0t and T2, sites representing predominantly clean and polluted conditions, respectively. The organic component consistently represented on average 70-80% of the PM1 mass concentration across sites and seasons, and constitutes the focus of this work. Positive matrix factorization (PMF) analysis was applied to the time series of organic mass spectra. The resulting factors, which included the so-called IEPOX-SOA, MO-OOA, LO-OOA, BBOA, Fac91 and HOA, provide information on the relative contributions of different sources and pathways to organic PM production. In addition, Fuzzy c-means clustering was applied to the time series of pollution indicators, including concentrations of NOy, total particle number, ozone and sulfate, in order to better understand the convoluted influences of different processes and airmass origin to each point in time. Through combination of the PMF and Fuzzy c-means analyses, insights are drawn about the relative composition of organic PM1 at varying degrees of influence of biogenic and anthropogenic processes. Results suggest that polluted conditions are associated with higher organic mass concentrations, with certain pathways being favored to the detriment of others. This analysis and results represent a step toward the goal of improving the understanding of anthropogenic influences on the production of PM1 in Amazonia.
ÁreaMET
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34P/3Q9JR72
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34P/3Q9JR72
Idiomaen
Arquivo Alvosa_anthropogenic.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhosid.inpe.br/mtc-m21b/2013/09.26.14.25.22
Unidades Imediatamente Superiores8JMKD3MGPCW/3EUPEJL
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.06.18.03 5
Acervo Hospedeirosid.inpe.br/mtc-m21b/2013/09.26.14.25.20
6. Notas
Campos Vaziosarchivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel dissemination doi e-mailaddress edition editor format isbn issn keywords label lineage mark nextedition notes numberofvolumes orcid organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisher publisheraddress readpermission resumeid rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url volume
7. Controle da descrição
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