Application of the Artificial Neural Network to monitor the quality of treated water

Journal Title: INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY - Year 2013, Vol 3, Issue 1

Abstract

Due to importance of the quality of treated water as a drastic parameter in peoples life and engineering problems, numerous experimental and semi-experimental models were recently used by water and environmental engineers in order to estimate the quality of water. Between the used models, Artificial Neural Network (ANN) approach as an advantageous black box model was showed great authority in engineering sciences in general and in water engineering in particular. In this study, an ANN-based method was utilized to model the quality of the potable water parameters. To evaluate the model, the water quality data sets of Zarrineh Rood water treatment plant before and after treatment were used. After the statistical analysis on the recorded daily data sets, they were divided into calibration and verification sub-sets. In this paper the measured heat, PH, opacity, total hardness, and the level of calcium before the treatment process were considered as input variables of the model and the quantity of Total Dissolved Solids (TDS) and Electrical Conductivity (EC) after treatment were considered as output neurons of ANN. To have better interpretation about the model efficiency, the outcomes were compared with other classical and practical models and the results proved high merit of ANN in predicting the parameters of treated water.  

Authors and Affiliations

Vahid Nourani, Tohid Rezapour Khanghah, Milad Sayyadi

Keywords

Related Articles

Understanding mobile banking from a theoretical lens: Case studies of selected Kenyan m-banking products

Characteristic of every developing nation, Kenya has found itself at crossroads; defining the banking industry with the urgeto provide banking services to majority of the unbanked populations. Mobile banking is a banking...

Test of Data Normality, Return Similarity and Variance Analysis in South Asian Stock Markets

This paper analyzes the data distribution on stock market returns in SAARC nations (Bhutan, India, Bangladesh, Nepal, Sri Lanka and Pakistan) for weekly data from January 2006 to December 2011 to see if market returns ar...

IT Governance in Enterprise Resource Planning and Business Intelligence Systems Environment: a Conceptual Framework

A large number of studies has been carried out on IT governance during the last decade, with the aim to support companies in implementing IT governance frameworks aligned with the business strategy. However, companies wh...

Agro-Biotechnology

World poverty and hunger is a major concern of public health. Several methods are being adopted to overcome this problem. Science and technology have been able to make several major contributions to it. But one disciplin...

Innovative Service-Oriented Information System for supporting Mobility in Ubiquitous Spaces: A Role Driven Approach

Conventional architectures based on a central servers are not suitable and cannot scale well in a distributed and high dynamic computing enviroment. Futuristic ubiquitous landscape requires the development of robust, rel...

Download PDF file
  • EP ID EP654179
  • DOI 10.24297/ijmit.v3i1.1388
  • Views 152
  • Downloads 0

How To Cite

Vahid Nourani, Tohid Rezapour Khanghah, Milad Sayyadi (2013). Application of the Artificial Neural Network to monitor the quality of treated water. INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY, 3(1), 38-45. https://europub.co.uk/articles/-A-654179