Water Quality Prediction of Asi River Using Fuzzy Based Approach


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Kılıç E., Arslan M. T. , Haznedar B.

3rd International Congress on. Applied Ichthyology. & Aquatic Environment, Volos, Greece, 8 - 11 November 2018, pp.369-373

  • Publication Type: Conference Paper / Full Text
  • City: Volos
  • Country: Greece
  • Page Numbers: pp.369-373

Abstract

Surface waters are home to many aquatic species and they are only source of water for plant and animal species living around them.  They are also used in agricultural irrigation, drinking water supply and industries for many purposes. However, this crucial water source suffer from many natural and anthropogenic activities like waste water discharges, diffuse pollution sources, erosion, weathering. For this reason, to protect the water quality level of surface waters, water quality monitoring studies are carried out which are usually produce huge and complex datasets. The aim of this study is to develop an ANFIS model for Asi River and to test the performance of ANFIS method in water quality prediction. Asi River is suffer from many industrial and domestic discharges as well as the diffuse pollution coming from natural storms. Major anthropogenic activities carried out in the area are identified as agriculture, animal husbandry and agriculture based industries. Water quality monitoring data taken from state of Hydraulic Works of Turkey belongs to 2004-2014 years covering 19 different parameters were used for model development. Water quality parameters belongs to 2004-2011 time period was employed for training and 2011-2014 period was used for test period. Outputs of ANFIS model was selected as dissolved oxygen, ammonia, nitrite, nitrate and phosphate; since, they were major pollution indicating parameters in the study area. Results showed that proposed ANFIS model is an applicable tool in water quality prediction and can handle uncertainties arising from natural process.