研究目的
To characterize the in situ absorption coefficient of phytoplankton in relation to phytoplankton composition and chlorophyll-a concentration, and to evaluate satellite retrieval of aph(443) using atmospheric correction and bio-optical algorithms for the El Rincón area.
研究成果
The study successfully characterized phytoplankton absorption and composition in El Rincón, revealing dominance by large diatoms and significant pigment packaging effects. Satellite retrieval of aph(443) was feasible with the QAA algorithm and adaptive atmospheric correction, but regional calibration of algorithms is recommended for improved accuracy.
研究不足
The study is limited by the optical complexity of turbid coastal waters, high variability in phytoplankton composition, and potential errors in atmospheric correction and algorithm assumptions. Sampling frequency may not capture all phytoplankton dynamics, and smaller phytoplankton cells (<5 μm) were not counted.
1:Experimental Design and Method Selection:
The study involved oceanographic cruises to collect in situ data and satellite data processing using MODIS-Aqua. Atmospheric correction algorithms (NIR and SWIR) and bio-optical algorithms (GIOP, GSM, QAA) were applied to retrieve aph(443).
2:3). Sample Selection and Data Sources:
2. Sample Selection and Data Sources: Surface water samples were collected from 28 cruises between November 2013 and March 2017 in El Rincón, Argentina. Samples included measurements of physical variables, Chl-a, phytoplankton absorption, and composition.
3:List of Experimental Equipment and Materials:
Equipment included a Van Dorn bottle for sampling, YSI pro1030 for physico-chemical properties, Whatman GF/F filters for filtration, spectrofluorophotometer Shimadzu RF 5301 PC for Chl-a, spectrophotometer Jasco UV-Vis 630 for absorption, HACH 2100Q IS turbidimeter for turbidity, microscopes (Wild M20, Zeiss Standard R, Nikon Eclipse) for phytoplankton analysis, and SeaDAS 7.4 software for satellite data processing.
4:4 software for satellite data processing. Experimental Procedures and Operational Workflow:
4. Experimental Procedures and Operational Workflow: Water samples were collected, filtered, and analyzed for Chl-a, absorption coefficients, SPM, and phytoplankton composition. Satellite data were processed with match-up protocols involving spatial and temporal criteria.
5:Data Analysis Methods:
Statistical analysis included linear regressions, root-mean-square error (RMSE), bias, and relative error calculations on log-transformed data.
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Spectrofluorophotometer
RF 5301 PC
Shimadzu
Used for determining Chl-a concentrations via fluorometric method.
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Spectrophotometer
UV-Vis 630
Jasco
Used for measuring particulate absorption spectra in the 300-800 nm range.
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Microscope
Standard R
Zeiss
Used for phytoplankton species identification.
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Van Dorn bottle
Used for collecting surface water samples.
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YSI pro1030
pro1030
YSI
Used for measuring physico-chemical properties such as temperature, salinity, and pH in situ.
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Whatman GF/F filter
GF/F
Whatman
Used for filtering seawater samples for Chl-a and absorption coefficient measurements.
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Turbidimeter
2100Q IS
HACH
Used for measuring turbidity.
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Inverted microscope
M20
Wild
Used for quantitative analysis of phytoplankton cells.
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Microscope
Eclipse
Nikon
Used for phytoplankton species identification.
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MODIS-Aqua
NASA
Satellite sensor used for ocean color data, providing level 1A data at 1.1 km resolution.
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SeaDAS software
7.4
NASA
Used for processing satellite data to obtain level 2 products.
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