Advertisement

Operational Research

, Volume 5, Issue 1, pp 105–113 | Cite as

Decision support system for a river network pollution estimation based on a structural-linguistic data model

  • A. Hachikyan
  • R. Scherer
  • M. Angelova
  • M. Lazarova
Article
  • 86 Downloads

Abstract

On the base of a specially crated structural-linguistic model of a river network a point pollution detection decision support system (DSS) is developed. The data model completely describes the topology of the river and the presence of technical equipment along the river basin. The described system is able to find monitoring stations with pollution detected and estimates the potential polluting objects by means of several heuristic rules. The final result of the DSS analysis is an arranged list of polluting objects with the highest score for the most probable of them. The structural model of the river network is developed in the ArcInfo environment and Visual Basic is used for the construction of the DSS.

Keywords

structural-linguistic model surface water purity 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gotchev, G., Angelova, M. (2003), “A Structural-linguistic Model and Data Base Description and Presentation of a River Network of a River Basin in the Geographic Information Systems”, Automatics and Informatics, 7, pp. 23–27.Google Scholar
  2. Hachikyan, A., Scherer, R., Bojchev, D., Gotchev, G. (2002), “Expert System for Ecological Monitoring of a River Basin”, Applications of Mathematics in Engineering and Economics, 27, Heron Press, Sofia.Google Scholar
  3. Negnevitsky, M. (2002). Artificial Intelligence A Guide to Intelligent Systems. Addison-Wesley.Google Scholar
  4. PHARE official report (1998). A Review of the trans-border river pollution in South Bulgaria, vol.1 and vol.3.Google Scholar

Copyright information

© Hellenic Operational Research Society 2005

Authors and Affiliations

  • A. Hachikyan
    • 1
  • R. Scherer
    • 2
  • M. Angelova
    • 1
  • M. Lazarova
    • 1
  1. 1.Department of Computer ScienceTechnical University of SofiaSofiaBulgaria
  2. 2.Institute of Practical MathematicsUniversity of KarlsruheKarlsruheGermany

Personalised recommendations