Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3HG7JQ8
Repositóriosid.inpe.br/plutao/2014/12.01.13.22.27   (acesso restrito)
Última Atualização2015:01.14.17.53.57 (UTC) administrator
Repositório de Metadadossid.inpe.br/plutao/2014/12.01.13.22.28
Última Atualização dos Metadados2018:06.04.23.25.35 (UTC) administrator
DOI10.1016/j.rse.2014.06.013
ISSN0034-4257
Rótulolattes: 2691497637313274 4 CurtarelliOgasAlcâStec:2014:CoReSe
Chave de CitaçãoCurtarelliOgasAlcâStec:2015:CoReSe
TítuloCoupling remote sensing bio-optical and three-dimensional hydrodynamic modeling to study the phytoplankton dynamics in a tropical hydroelectric reservoir
Ano2015
Data de Acesso05 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3446 KiB
2. Contextualização
Autor1 Curtarelli, Marcelo Pedroso
2 Ogashawara, Igor
3 Alcântara, Enner Herenio de
4 Stech, José Luiz
Identificador de Curriculo1
2
3
4 8JMKD3MGP5W/3C9JHHN
Grupo1 SER-SRE-SPG-INPE-MCTI-GOV-BR
2 SER-SRE-SPG-INPE-MCTI-GOV-BR
3
4 DSR-OBT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Universidade Estadual Paulista (UNESP)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
Endereço de e-Mail do Autor1 mpedroso@dsr.inpe.br
2 igoroga@dsr.inpe.br
3 enner@fct.unesp.br
4 stech@dsr.inpe.br
Endereço de e-Mailmarcelo.pazos@inpe.br
RevistaRemote Sensing of Environment
Volume157
Páginas185-198
Nota SecundáriaA1_GEOCIÊNCIAS A1_BIODIVERSIDADE A1_CIÊNCIAS_AMBIENTAIS A1_INTERDISCIPLINAR A1_ENGENHARIAS_I A1_CIÊNCIAS_AGRÁRIAS_I A1_CIÊNCIAS_BIOLÓGICAS_I
Histórico (UTC)2014-12-01 14:04:58 :: lattes -> administrator :: 2014
2014-12-04 17:23:05 :: administrator -> lattes :: 2014
2014-12-04 17:26:25 :: lattes -> administrator :: 2014 -> xxxx
2014-12-05 08:31:16 :: administrator -> marcelo.pazos@sid.inpe.br :: xxxx
2015-01-14 17:53:57 :: marcelo.pazos@sid.inpe.br -> administrator :: xxxx -> 2015
2018-06-04 23:25:35 :: administrator -> simone :: 2015
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveBio-optical model
Horizontal surface phytoplankton distribution
Hydrodynamic modeling
Mixing regimes
Remote sensing
ResumoThe goal of this study was to determine the extent to which mixing and stratification processes influence the horizontal surface phytoplankton distribution in a tropical hydroelectric reservoir in Brazil. We used a synergistic approach that combines remote sensing bio-optical empirical and three-dimensional hydrodynamic modeling to represent phytoplankton dynamics. Seasonal differences were evaluated by simulating the bio-optical and the three-dimensional hydrodynamic models for two periods: the austral summer and winter of 2009. The three-dimensional hydrodynamic model simulations showed that the water column was completely mixed during winter; the water column remained stratified during summer. We also noticed a permanent thermocline during the summer between 15 and 25m in the reservoir. In both seasons, the surface current was wind driven and preferentially directed eastward. The bio-optical model showed that the horizontal surface phytoplankton distribution, as indicated by chlorophyll-a concentration, was heterogeneous during winter and homogenous during summer. Moreover, higher concentrations were observed by the empirical bio-optical model during winter (the highest mean areal concentration was 24μgL-1) than in summer (2.1μgL-1). This difference was explained by short timescale events, such as cold front passages, which contributed to the proliferation of phytoplankton in winter by enhancing vertical mixing in the water column. Lake number analysis showed that upwelling events were the most common mechanisms driving the mixing process during winter (LN<1 82% of the time). Combining remote sensing and three-dimensional hydrodynamic modeling makes it possible to more fully analyze the dynamics of the horizontal surface phytoplankton distribution under different meteorological conditions. The two modeling techniques can be used in a complementary manner and serve as an essential tool for the environmental monitoring of aquatic systems.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Coupling remote sensing...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Coupling remote sensing...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvocoupling remote.pdf
Grupo de Usuáriosadministrator
lattes
marcelo.pazos@inpe.br
simone
Grupo de Leitoresadministrator
marcelo.pazos@inpe.br
simone
Visibilidadeshown
Política de Arquivamentodenypublisher allowfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2011/03.29.20.55
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/09.13.21.11 3
sid.inpe.br/bibdigital/2013/10.18.22.34 1
DivulgaçãoWEBSCI; PORTALCAPES; COMPENDEX; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)simone
atualizar 


Fechar