Applications of Artificial Neural Network in the Prediction of Water Quality Index

Tshedza Murivhami, Lagouge Kwanda Tartibu, Isaac Oyeyemi Olayode

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Artificial intelligence can significantly lower water supply and sanitation systems and assist to ensure compliance with drinking water and wastewater treatment standards. As a result, there has been extensive research on modelling and forecasting water quality to reduce water pollution. The proposed system's uniqueness is offered to create an effective monitoring operation. This paper uses Artificial Neural Network (ANN) for the prediction of water quality index (WQI). Seven important water quality parameters were considered, namely the Dissolved Oxygen (DO), the pH, the conductivity, the Biochemical Oxygen Demand (BOD), the nitrate, faecal coliform, and the total coliform. In the study, seven parameters were used for the modelling and prediction of water quality index. A design concept of a water purification system is disclosed in this work. The proposed model exhibits a prediction performance of 0.98114.

Original languageEnglish
Title of host publication2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages100-104
Number of pages5
ISBN (Electronic)9798350313093
DOIs
Publication statusPublished - 2023
Event14th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2023 - Cape Town, South Africa
Duration: 26 May 202328 May 2023

Publication series

Name2023 14th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2023

Conference

Conference14th International Conference on Mechanical and Intelligent Manufacturing Technologies, ICMIMT 2023
Country/TerritorySouth Africa
CityCape Town
Period26/05/2328/05/23

Keywords

  • artificial intelligence
  • artificial neural network
  • water purification
  • water quality index

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Computational Mechanics
  • Industrial and Manufacturing Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Materials Science (miscellaneous)

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