Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6961991 | Environmental Modelling & Software | 2018 | 15 Pages |
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 types of knowledge and different methods of reasoning. Several limitations that currently prevent the application of computer-based techniques in practice are highlighted.
Keywords
ANFISInternational Water AssociationWNNFFNNQTAIWASBREDSSUPGMAMLPORPPLSCBRFCMANNICASVRWWTPPCASOMWWTPsCase-based reasoningIndependent component analysisQualitative trend analysisPrincipal component analysisPartial least squaresData miningKnowledgeSequencing batch reactorunweighted pair group method with arithmetic meanSupport vector regressionprincipal component regressionEnvironmental decision support systemsartificial neural networksFuzzy C-MeansSupport vector machinesSVMSelf-Organizing MapsPCRoxidation-reduction potentialData processingMulti-Layer PerceptronData qualityWastewater treatment plants
Related Topics
Physical Sciences and Engineering
Computer Science
Software
Authors
Ll. Corominas, M. Garrido-Baserba, K. Villez, G. Olsson, U. Cortés, M. Poch,