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Complex real-time environmental monitoring of the Hudson River and estuary system
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by H. R. Kolar
J. Cronin
P. Hartswick
A. C. Sanderson
J. S. Bonner
L. Hotaling
R. F. Ambrosio
Z. Liu
M. L. Passow
and M. L. Reath
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Multiparameter and multiscale real-time environmental monitoring
of a river and estuary system will be realized through the River and
Estuary Observatory Network (REON) for the Hudson River in
New York. In this paper, we describe a system under development
that provides a holistic view of this complex and dynamic natural
environment for scientific research, education, management, and
environmental policy-related applications. The system incorporates
a complex array of sensor technologies encompassing the physical,
chemical, and biological measurement domains. REON supports
Lagrangian, Eulerian, and autonomous robot sensor deployments,
as well as flexible telemetry options through an open and consistent
middleware architecture with advanced device management
capabilities. Multimodal data streams are ingested and analyzed by
an intelligent distributed streaming data analysis system known as
System S. The challenges of managing high volumes of complex
heterogeneous data are addressed via a distributed network of
intelligent computational nodes that incorporate both autonomic
algorithms and active knowledge management including a temporal
component. REON provides an adaptive computing environment
that provides isotropy in terms of data access and collaborative
computation in contrast to traditional hierarchical control systems
for sensor environments. Also presented is the underlying
information infrastructure that supports a robust and integrated
data modeling, simulation, and visualization manifold.
 Full paper
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