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Shallow water habitat and water quality evaluation have become critical components of Chesapeake Bay monitoring. The Dataflow V High-Resolution Spatially Intensive Monitoring System represents a novel method to characterize shallow water ecosystems or rapidly classify hotspots to establish the boundaries of local disturbances. It also provides researchers and managers with a powerful tool to analyze and spatially describe the water quality and subsequent overall health of this critical shallow water habitat. The DataflowV sensor system represents a synthesis of new technologies that enables the researcher to combine discrete sample data produced by water quality sensors, and accurate spatial positioning and description utilizing the Global Positioning System.
Here at CBL we have improved the original Dataflow system, first developed by Madden and Day (1992), evolving the system into the current implementation, Dataflow V. This sensor suite provides for characterization of the surface waters of a tributary over a four-hour research cruise. The DataflowV system possesses the flexibility to quickly characterize a tributary system, or focus on trouble spots within the estuary. As an example of the latter, Dataflow V may reveal pockets of pronounced turbidity or algal blooms localized within an accuracy of ten meters. The system logs discrete samples every four seconds, and over 5000 data points can be collected during a single cruise. These datapoints are processed using interpolation software and can be used to produce a contour map of a target tributary for a particular parameter, such as the concentration of chlorophyll (which reveals the amount of phytoplankton), turbidity (water clarity, or concentration of suspended matter), or any number of water quality values scientists use to evaluate the health of Chesapeake Bay.
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