@MastersThesis{Silva:2017:PrBiMa,
author = "Silva, Jean Farhat de Ara{\'u}jo da",
title = "Prov{\'{\i}}ncias Biogeoqu{\'{\i}}micas Marinhas no Oceano
Atl{\^a}ntico Sul por Sensoriamento Remoto",
school = "Instituto Nacional de Pesquisas Espaciais (INPE)",
year = "2017",
address = "S{\~a}o Jos{\'e} dos Campos",
month = "2017-07-31",
keywords = "prov{\'{\i}}ncias biogeoqu{\'{\i}}micas marinhas,
sensoriamento remoto, fei{\c{c}}{\~o}es oceanogr{\'a}ficas,
Oceano Atl{\^a}ntico Sul, fuzzy, marine biogeochemical provinces,
remote sensing, oceanographic features, South Atlantic Ocean,
fuzzy.",
abstract = "Compreender a estrutura espacial e a fun{\c{c}}{\~a}o do
ecossistema pel{\'a}gico est{\'a} no cerne da oceanografia
atual. Abordagens categ{\'o}ricas j{\'a} foram aplicadas {\`a}
parti{\c{c}}{\~a}o do dom{\'{\i}}nio oce{\^a}nico em
prov{\'{\i}}ncias biogeoqu{\'{\i}}micas marinhas (PBGQ). A
classifica{\c{c}}{\~a}o em PBGQ fornece uma estrutura {\'u}til
para a compreens{\~a}o dos mecanismos de intera{\c{c}}{\~a}o e
controle de processos f{\'{\i}}sicos e biogeoqu{\'{\i}}micos
que refletem a heterogeneidade do ambiente oce{\^a}nico. O
presente trabalho teve como objetivo particionar o oceano
Atl{\^a}ntico Sul em prov{\'{\i}}ncias biogeoqu{\'{\i}}micas
marinhas, com uso do classificador n{\~a}o supervisionado Fuzzy
C-Means (FCM), utilizando dados m{\'e}dios anuais e sazonais da
concentra{\c{c}}{\~a}o de clorofila-a na superf{\'{\i}}cie do
mar (CSM), temperatura da superf{\'{\i}}cie do mar (TSM) e
radia{\c{c}}{\~a}o fotossinteticamente dispon{\'{\i}}vel
estimados por sat{\'e}lite. Dados da profundidade da camada de
mistura (PCM) e batimetria tamb{\'e}m foram utilizados. A partir
do crit{\'e}rio Silhouette foram definidas 8 classes para
aplica{\c{c}}{\~a}o do classificador FCM, que possibilitou
identificar as PBGQ denominadas como: Sistema Equatorial/Tropical,
Giro Subtropical, Converg{\^e}ncia Subtropical Norte e Sul,
Subant{\'a}rtica, Polar e Circumpolar Ant{\'a}rtica. Foram
calculadas as {\'a}reas de cada PBGQ e os respectivos graus de
pertin{\^e}ncia, assim como, os valores m{\'e}dios, m{\'a}ximos
e m{\'{\i}}nimos de cada vari{\'a}vel ambiental considerada.
Estas informa{\c{c}}{\~o}es foram analisadas de modo a se
descrever as principais fei{\c{c}}{\~o}es oceanogr{\'a}ficas
presentes em cada PBGQ.Considerando a import{\^a}ncia das
mudan{\c{c}}as clim{\'a}ticas, foi realizada uma
simula{\c{c}}{\~a}o de cen{\'a}rio futuro (ano 2099) das
vari{\'a}veis CSM, TSM e PCM estimadas pelo Projeto
Inter-comparativo na fase 5 de Modelos Acoplados (CMIP5), Com a
aplica{\c{c}}{\~a}o do crit{\'e}rio Silhouette foram definidas
5 classes para o algoritmo FCM. Da mesma forma, foram
identificadas 5 PBGQ, calculando-se os respectivos graus de
pertin{\^e}ncia, {\'a}reas e valores m{\'e}dios, m{\'a}ximos e
m{\'{\i}}nimos das vari{\'a}veis ambientais. A
redu{\c{c}}{\~a}o do numero de PBGQ e da CSM, assim como, ou
aumento de TSM no cen{\'a}rio futuro s{\~a}o
indica{\c{c}}{\~o}es que as mudan{\c{c}}as clim{\'a}ticas
podem impactar significativamente essas prov{\'{\i}}ncias no
Atl{\^a}ntico Sul. ABSTRACT: The understanding of spatial
structure and function of the pelagic ecosystem is on focus of
current oceanography. Categorical approaches have already been
applied to the partition of the oceanic region in marine
biogeochemical provinces (BGQP).The classification of BGQP
provides an useful framework in order to comprehend the
interaction mechanisms and control of physical, chemical and
biological processes that reflect the heterogeneity of ocean
environment. The present work aims to divide South Atlantic Ocean
in marine biogeochemical provinces, using an unsupervised
classifier Fuzzy C-Means (FCM) using mean data in yearly and
seasonal basis, such as Chlorophylla Concentration on sea surface
(CCS), Sea Surface Temperature (SST) and photosynthetically
available radiation data estimated by satellite. Mixed layers
depths (MLD) and bathymetry data were also used. From the
application of the Silhouette criteria, 8 input classes were
defined in the FCM classifier which, in turn, produced BGQP named
as: Equatorial/Tropical System; Subtropical Gyre; Subtropical
Convergence North; Subtropical Convergence South; Sub- Antarctic;
Polar and Circumpolar Antarctic. Each BGQP were calculated and its
respective membership values, as well as, mean, maximum and
minimum values of each considered parameter. This information was
analyzed in order to describe the main oceanographic features in
each BGQP. Considering the importance of climate change issues, a
simulation of future scenarios (year 2099) of the variables CCS,
SST and MLD estimated by Inter-Comparison Project in Phase 5 of
Coupled Models (CMIP5). By the application of the Silhoutte
criteria were defined 5 classes for FCM algorithm. Similarly, were
indentified 5 BGQP and were calculated its respective membership
values, as well as, mean, maximum and minimum values of each these
parameters. The reduction in the number of BGQPs and the decline
of the concentration of chlorophyll a (CSM), as well as, the
increase in sea surface temperature (SST) in the future scenario
are indications that the climatic changes can significantly impact
these provinces in the South Atlantic Ocean.",
committee = "Kampel, Silvana Amaral (presidente) and Kampel, Milton
(orientador) and Monteiro, Antonio Miguel Vieira and Conti, Luis
Am{\'e}rico",
englishtitle = "Marine biogeochemical provinces in the South Atlantic Ocean by
remote sensing",
language = "pt",
pages = "135",
ibi = "8JMKD3MGP3W34P/3P9B3LH",
url = "http://urlib.net/ibi/8JMKD3MGP3W34P/3P9B3LH",
targetfile = "publicacao.pdf",
urlaccessdate = "27 abr. 2024"
}