Please use this identifier to cite or link to this item:

Title: Draw on Artificial Neural Networks to Assess and Predict Water Quality
Authors: Fernandes, Ana
Chaves, Humberto
Lima, Rui
Neves, José
Vicente, Henrique
Keywords: Artificial Intelligence
Artificial Neural Networks
Biochemical Oxygen Demand
Chemical Oxygen Demand
Water Quality
Issue Date: 2020
Publisher: IOP Publishing
Citation: Fernandes, A., Chaves, H., Lima, R., Neves, J. & Vicente, H., Draw on Artificial Neural Networks to Assess and Predict Water Quality. IOP Conference Series: Earth and Environmental Science, 612: 012028, 2020.
Abstract: Water is one of the important vehicles for diseases of an infectious nature, which makes it essential to assess its quality. However, the assessment of water quality in reservoirs is a complex problem due to geographic limitations, sample collection and respective transport, the number of parameters to be studied and the financial resources spent to obtain analytical results. In addition, the period between sampling and analysis results must be added. This work describes the development of an Artificial Neural Network (ANN) to predict the biochemical and chemical oxygen demand based on the water pH value, the dissolved oxygen, the conductivity and its temperature. The models were trained and tested using experimental data (N=605) obtained from superficial water samples used to irrigate and produce water for public use, collected between September 2005 and December 2017. To evaluate the performance of the ANN models, the determination coefficient, the mean absolute error, the mean square error and the bias were calculated. It was determined that an ANN with topology 4-6-5-2 could be used successfully to predict the variables’ output. Indeed, good agreement was observed between the observed and predicted values, with the values of the coefficient of determination ranging from 0.813 to 0.979.
ISSN: 1755-1307 (paper)
1755-1315 (electronic)
Type: article
Appears in Collections:QUI - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

Files in This Item:

File Description SizeFormat
2020_WRE_2020_RD.pdf612.03 kBAdobe PDFView/Open
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpaceOrkut
Formato BibTex mendeley Endnote Logotipo do DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.


Dspace Dspace
DSpace Software, version 1.6.2 Copyright © 2002-2008 MIT and Hewlett-Packard - Feedback
UEvora B-On Curriculum DeGois