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Identification Of River Water Excessive Pollution Sources

Author

Listed:
  • K. J. KACHIASHVILI

    (I. Vekua Institute of Applied Mathematics of the Tbilisi State University, 2, University st., Tbilisi 380143, Georgia)

  • D. I. MELIKDZHANIAN

    (Center of Ecological Safety of the Georgian Technical University, 77, Kostava st., Tbilisi 380178, Georgia)

Abstract

The program package for identification of river water excessive pollution sources located between two controlled cross-sections of the river is described in this paper. The software has been developed by the authors on the basis of mathematical models of pollutant transport in the rivers and statistical hypotheses checking methods. The identification algorithms were elaborated with the supposition that the pollution sources discharge different compositions of pollutants or (at the identical composition) different proportions of pollutants into the rivers.

Suggested Citation

  • K. J. Kachiashvili & D. I. Melikdzhanian, 2006. "Identification Of River Water Excessive Pollution Sources," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 5(02), pages 397-417.
    • Handle: RePEc:wsi:ijitdm:v:05:y:2006:i:02:n:s0219622006001988
    DOI: 10.1142/S0219622006001988
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    Cited by:

    1. Kachiashvili KJ, 2019. "Modern State of Statistical Hypotheses Testing and Perspectives of its Development," Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(2), pages 41-44, March.

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