International journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN:2313-626X

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 Volume 5, Issue 3 (March 2018), Pages: 89-97

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 Original Research Paper

 Title: Applying big data in water treatment industry: A new era of advance

 Author(s): Djamel Ghernaout 1, 2, 3, *, Mohamed Aichouni 2, 4, Abdulaziz Alghamdi 2, 5

 Affiliation(s):

 1Chemical Engineering Department, College of Engineering, University of Ha’il, PO Box 2440, Ha’il 81441, Saudi Arabia
 2Binladin Research Chair on Quality and Productivity Improvement in the Construction Industry, College of Engineering, University of Ha’il, PO Box 2440, Ha’il 81441, Saudi Arabia
 3Chemical Engineering Department, Faculty of Engineering, University of Blida, PO Box 270, Blida 09000, Algeria
 4Industrial Engineering Department, College of Engineering, University of Ha’il, PO Box 2440, Ha’il 81441, Saudi Arabia
 5Mechanical Engineering Department, College of Engineering, University of Ha’il, PO Box 2440, Ha’il 81441, Saudi Arabia

 https://doi.org/10.21833/ijaas.2018.03.013

 Full Text - PDF          XML

 Abstract:

It is well-known that water is an invaluable natural resource and it is also obvious that demand is always going to augment and shortages become more frequent. On the other hand, the development of Big Data (BD), machine learning and artificial intelligence, is beginning to offer realistic opportunities to operate water treatment systems in more efficient manners. In fact, BD concerns all the data we now possess and transform it into knowledge that we may directly employ to manage treatment facilities in a better fashion. The right data, analytics, and decision framework may pilot water utilities to a well-optimized efficiency. Indeed, possessing too much data but not sufficiently comprehensible or ready for use, fine-tuning data collection and funneling it into an integrated data management system may be the manner to become more enterprising and make better decisions. However, employing BD in water treatment remains at its first initiating steps. As a future trend, pooling data and using analytical tools to predict where we should be heading to become more proactive will be a great stage towards the water industry advance. 

 © 2018 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords: Big data, Predictive analytics, Water (wastewater) treatment, industry, Potable water, Process control

 Article History: Received 27 October 2017, Received in revised form 8 January 2018, Accepted 11 January 2018

 Digital Object Identifier: 

 https://doi.org/10.21833/ijaas.2018.03.013

 Citation:

  Ghernaout D, Aichouni M, and Alghamdi A (2018). Applying big data in water treatment industry: A new era of advance. International Journal of Advanced and Applied Sciences, 5(3): 89-97

 Permanent Link:

 http://www.science-gate.com/IJAAS/2018/V5I3/Ghernaout.html

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