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Transforming data into knowledge for improved wastewater treatment operation : A critical review of techniques

Corominas, Ll; Garrido-Baserba, M.; Villez, K.; Olsson, G. LU ; Cortés, U. and Poch, M. LU (2017) In Environmental Modelling and Software
Abstract

The aim of this paper is to describe the state-of-the art computer-based techniques for data analysis to improve operation of wastewater treatment plants. A comprehensive review of peer-reviewed papers shows that European researchers have led academic computer-based method development during the last two decades. The most cited techniques are artificial neural networks, principal component analysis, fuzzy logic, clustering, independent component analysis and partial least squares regression. Even though there has been progress on techniques related to the development of environmental decision support systems, knowledge discovery and management, the research sector is still far from delivering systems that smoothly integrate several... (More)

The aim of this paper is to describe the state-of-the art computer-based techniques for data analysis to improve operation of wastewater treatment plants. A comprehensive review of peer-reviewed papers shows that European researchers have led academic computer-based method development during the last two decades. The most cited techniques are artificial neural networks, principal component analysis, fuzzy logic, clustering, independent component analysis and partial least squares regression. Even though there has been progress on techniques related to the development of environmental decision support systems, knowledge discovery and management, the research sector is still far from delivering systems that smoothly integrate several types of knowledge and different methods of reasoning. Several limitations that currently prevent the application of computer-based techniques in practice are highlighted.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
epub
subject
keywords
Data mining, Data processing, Data quality, Knowledge, WWTP
in
Environmental Modelling and Software
publisher
Elsevier
external identifiers
  • scopus:85044678780
ISSN
1364-8152
DOI
10.1016/j.envsoft.2017.11.023
language
English
LU publication?
yes
id
c8e74c89-0912-4ff8-b6a1-727da6910f2d
date added to LUP
2018-04-12 15:04:48
date last changed
2018-09-16 04:54:37
@article{c8e74c89-0912-4ff8-b6a1-727da6910f2d,
  abstract     = {<p>The aim of this paper is to describe the state-of-the art computer-based techniques for data analysis to improve operation of wastewater treatment plants. A comprehensive review of peer-reviewed papers shows that European researchers have led academic computer-based method development during the last two decades. The most cited techniques are artificial neural networks, principal component analysis, fuzzy logic, clustering, independent component analysis and partial least squares regression. Even though there has been progress on techniques related to the development of environmental decision support systems, knowledge discovery and management, the research sector is still far from delivering systems that smoothly integrate several types of knowledge and different methods of reasoning. Several limitations that currently prevent the application of computer-based techniques in practice are highlighted.</p>},
  author       = {Corominas, Ll and Garrido-Baserba, M. and Villez, K. and Olsson, G. and Cortés, U. and Poch, M.},
  issn         = {1364-8152},
  keyword      = {Data mining,Data processing,Data quality,Knowledge,WWTP},
  language     = {eng},
  month        = {12},
  publisher    = {Elsevier},
  series       = {Environmental Modelling and Software},
  title        = {Transforming data into knowledge for improved wastewater treatment operation : A critical review of techniques},
  url          = {http://dx.doi.org/10.1016/j.envsoft.2017.11.023},
  year         = {2017},
}