SFAQUALI – fuzzy system for urban water quality assessment

Abstract The objective of this study was to develop a system capable of evaluating the quality of the water consumed by an urban population using fuzzy logic. The set of factors to be analyzed were total coliforms, fluoride, free residual chlorine, turbidity, and apparent color. The factors selected...

Full description

Saved in:
Bibliographic Details
Published inWater practice and technology Vol. 14; no. 3; pp. 625 - 632
Main Authors Engelmann, Juliana Tais, Frozza, Rejane, da Costa, Adilson Ben, Klamt, Rodrigo Augusto
Format Journal Article
LanguageEnglish
Published London IWA Publishing 01.09.2019
Subjects
Aquifers
Chlorine
Coliforms
Colour
Decision making
Environmental management
Fluorides
Fuzzy logic
Fuzzy sets
Fuzzy systems
Groundwater
Methods
Nitrates
Population
Qualitative research
Quality assessment
Quality control
Residual chlorine
Turbidity
Urban populations
Water quality
Water quality assessments
Water shortages
Brazil
Online AccessGet full text

Cover

More Information
Summary:Abstract The objective of this study was to develop a system capable of evaluating the quality of the water consumed by an urban population using fuzzy logic. The set of factors to be analyzed were total coliforms, fluoride, free residual chlorine, turbidity, and apparent color. The factors selected as indicators of water quality and the system rules were modeled using the INFUZZY tool with help from specialists in this area, using a Great, Good, Acceptable or Inappropriate quality classification. 47 water quality analyses were applied. The results showed that 57.44% of the samples had a water quality classified as Great, 2.12% as Good, 2.12% as Acceptable, and 38.29% as Inappropriate. For each sample, results were in agreement with the evaluated parameters.
ISSN:1751-231X
1751-231X
DOI:10.2166/wpt.2019.049