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A Fuzzy Logic Application to Environment Management System: A Case Study for Goksu Streams Water Quality Assesment

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Computational Intelligence, Theory and Applications

Part of the book series: Advances in Soft Computing ((AINSC,volume 33))

Abstract

Water quality management is an important issue of relevance in the context of present times. Water quality indices are computed for classification of water wherein the integration of parametric information on water quality data and the expert’s knowledgebase on their importance & weights are considered. Considerable uncertainties are involved in the process of defining water quality for specific usage. Antalya City, located along the coasts of Mediterranean Sea in Turkey, is famous worldwide due to its tourism potential. Antalya City has a beautiful landscape composed of mountains, forests, beautiful beaches and the sea. In order to apply sustainable tourism principles in Antalya, the protection of valuable environmental resources gains a particular importance. A land survey study was carried out to determine the pollution loads of Bogacay Stream, an important land-based pollution source of Antalya City, for one year duration. According to the water quality classifications obtained from Fuzzy Logic, water quality changes temporally in Bogacay Stream and an occasional critical level of water quality was determined in July which coincides with the peak use of the beach for recreational activities. Goksu Stream is the main source of Bogacay Stream. It always carries main part of water to Bogacay. So, on a large scale Goksu Stream determines the Bogacay Stream’s water quality.

In this study, both field measurements and lab analyses have been realized and pollution loads of the polluting parameters have been calculated for Goksu Stream. A recent study has been realized to assess the water quality of Goksu Stream using Fuzzy Logic approach.

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References

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© 2005 Springer-Verlag Berlin Heidelberg

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Yardimci, A., Muhammetoglu, A., Oguz, H. (2005). A Fuzzy Logic Application to Environment Management System: A Case Study for Goksu Streams Water Quality Assesment. In: Reusch, B. (eds) Computational Intelligence, Theory and Applications. Advances in Soft Computing, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-31182-3_30

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  • DOI: https://doi.org/10.1007/3-540-31182-3_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22807-3

  • Online ISBN: 978-3-540-31182-9

  • eBook Packages: EngineeringEngineering (R0)

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