Water resource quality monitoring using heterogeneous data and high-performance computations

This article presents the architecture of a system that is used for regional water resource quality monitoring of environmental parameters using heterogeneous data sources such as remote sensing data, model data, and data of in-situ observations. The system’s architecture and components are develope...

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Bibliographic Details
Published in:Cybernetics and systems analysis 2008-07, Vol.44 (4), p.616-624
Main Authors: Kravchenko, A. N., Kussul, N. N., Lupian, E. A., Savorsky, V. P., Hluchy, L., Shelestov, A. Yu
Format: Article
Language:English
Subjects:
Artificial Intelligence
Chlorophyll
Color
Computer Engineering
Control
Cybernetics
Data processing
Estuaries
Informatics
Information sources
Mathematics
Mathematics and Statistics
Meteorology
Monitoring systems
New Means of Cybernetics
Processor Architectures
Radiation
Remote sensing
Satellites
Sensors
Software Engineering/Programming and Operating Systems
Studies
Supercomputers
System Analysis
Systems analysis
Systems Theory
Water quality
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Summary:This article presents the architecture of a system that is used for regional water resource quality monitoring of environmental parameters using heterogeneous data sources such as remote sensing data, model data, and data of in-situ observations. The system’s architecture and components are developed that are reusable and can be applied to solving various monitoring problems. The monitoring of the aquatic environment of the Dnieper estuary is selected as an example of such a problem. The distinctive features of this system consist of using a Grid approach to the distribution of complex computations and also the realization of computationally complicated computations on supercomputers of the SKIT family. Typical components of the monitoring system are presented, namely, those of data acquisition, data processing, modeling, and result representation.
ISSN:1060-0396
1573-8337
DOI:10.1007/s10559-008-9032-x