Identification of Karoon River Water Quality Using Mamdani Fuzzy Inference Model

In recent years, fuzzy-logic-based methods have adjusted to spot uncertainty in environmental problems. In the present study, a methodology based on Fuzzy Inference Model to assess river water quality is used. The potential application of the fuzzy model has been tested with a case study. Therefore, a data set collected from seventeen stations through the Karoon River from 2008 t0 2009 has been used. The most important parameters are affecting the river quality of water such as DO, BOD5, NO3-, Cl-, EC has been used. Using Fuzzy Inference Model, the river water quality classified in three categories; Good, Moderate and Poor. Results showed that fuzzy inference model is able to indicate water quality variations in different seasons. Therefore, this methodology develops as a suitable and alternative tool to be used in developing effective water management plans.