Identification of Karoon River Water Quality Using Mamdani Fuzzy Inference Model

Subject Areas :

Meysam Vadiati ¹ (دانشجوی دکترای دانشگاه تبریز)
Mohammad Nakhaei ² (دانشیار دانشگاه خوارزمی)
Vahab Amiri Amraei ³ (دانشجوی دکترای خوارزمی)
Ali Mirarabi ⁴ (کارشناس مرکز تحقیقات کارست ایران)

Received: 2016-09-05 Accepted : 2016-09-05 Published : 2013-09-23

Keywords: MATLAB, Fuzzy Inference Model, River Water Quality, Karoon River, Fuzzy Rules,

Abstract :

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