@Article{CurtarelliOgasAlcāStec:2015:CoReSe,
author = "Curtarelli, Marcelo Pedroso and Ogashawara, Igor and
Alc{\^a}ntara, Enner Herenio de and Stech, Jos{\'e} Luiz",
affiliation = "{Instituto Nacional de Pesquisas Espaciais (INPE)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Estadual
Paulista (UNESP)} and {Instituto Nacional de Pesquisas Espaciais
(INPE)}",
title = "Coupling remote sensing bio-optical and three-dimensional
hydrodynamic modeling to study the phytoplankton dynamics in a
tropical hydroelectric reservoir",
journal = "Remote Sensing of Environment",
year = "2015",
volume = "157",
pages = "185--198",
keywords = "Bio-optical model, Horizontal surface phytoplankton distribution,
Hydrodynamic modeling, Mixing regimes, Remote sensing.",
abstract = "The 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 24\μgL-1) than in summer
(2.1\μgL-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.",
doi = "10.1016/j.rse.2014.06.013",
url = "http://dx.doi.org/10.1016/j.rse.2014.06.013",
issn = "0034-4257",
label = "lattes: 2691497637313274 4
CurtarelliOgasAlc{\^a}Stec:2014:CoReSe",
language = "en",
targetfile = "coupling remote.pdf",
urlaccessdate = "04 maio 2024"
}