研究目的
To identify different optical domains in the coastal waters adjacent to the Santos estuarine system and understand the physical, chemical, and biological influence of the Santos estuary on the adjacent shelf waters.
研究成果
The study identified three optical water types on the inner continental shelf adjacent to Santos Bay, influenced by the seasonal dynamics of water masses and mixing processes between estuarine and shelf waters. CDOM was the most important contributor to light absorption, especially near the estuary. The performance of global chlorophyll algorithms was affected by CDOM dynamics, suggesting the need for regionally or seasonally fitted algorithms or semi-analytical models for accurate chlorophyll estimation.
研究不足
The study is limited by the temporal and spatial scope of the sampling campaigns, focusing only on two periods (October 2005 and March 2006) and a specific region (inner continental shelf adjacent to Santos Bay). The performance of global chlorophyll algorithms may vary under different environmental conditions not covered in this study.
1：Experimental Design and Method Selection:
The study was conducted on the inner continental shelf adjacent to Santos Bay in October 2005 and March 2006, as part of the ECOSAN research project. A grid of 40 oceanographic stations was used for sampling.
2：Sample Selection and Data Sources:
Surface water samples were collected at all stations for analyses of inorganic nutrients, chlorophyll-a concentrations, and measurements of light absorption coefficients by CDOM, detritus, and phytoplankton.
3：List of Experimental Equipment and Materials:
A Falmouth CTD profiler was used for temperature and salinity measurements. A spectroradiometer Spectrom SE 590 was used for spectral remote-sensing reflectance.
4：Experimental Procedures and Operational Workflow:
Remote sensing reflectance was computed from the total upwelling radiance of surface water. Light absorption coefficients were measured following specific methods.
5：Data Analysis Methods:
Statistical analyses included Hierarchical Clustering Analysis (HCA), Multidimensional Scaling (MDS), ANOVA, and Tukey tests to compare physical, chemical, and biological variables between optical water types.
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