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

  • New Means of Cybernetics, Informatics, Computer Engineering, and System Analysis
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Abstract

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.

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Authors and Affiliations

  1. Institute of Space Research, National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kiev, Ukraine

    A. N. Kravchenko, N. N. Kussul, E. A. Lupian & A. Yu. Shelestov

  2. Institute of Radioengineering and Electronics, Russian Academy of Sciences, Fryazino, Russia

    V. P. Savorsky

  3. Institute of Informatics, Academy of Sciences of Slovakia, Bratislava, Slovakia

    L. Hluchy

Authors
  1. A. N. Kravchenko
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  2. N. N. Kussul
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  3. E. A. Lupian
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  4. V. P. Savorsky
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  5. L. Hluchy
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  6. A. Yu. Shelestov
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Additional information

The development of the described monitoring system is partially supported by the UNTTs-NANU grant “Development of efficient Grid technologies of ecological monitoring on the basis of satellite data” (project No. 3872) and also joint INTAS-CNES-NSAU grant No. 06-1000024-9154 “Data Fusion Grid Infrastructure.”

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Translated from Kibernetika i Sistemnyi Analiz, No. 4, pp. 179–188, July–August 2008.

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Kravchenko, A.N., Kussul, N.N., Lupian, E.A. et al. Water resource quality monitoring using heterogeneous data and high-performance computations. Cybern Syst Anal 44, 616–624 (2008). https://doi.org/10.1007/s10559-008-9032-x

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  • DOI: https://doi.org/10.1007/s10559-008-9032-x

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