Effluent predictions for violations risk detection

Ignacio Santín; Carles Pedret; Ramón Vilanova

doi:10.1007/978-3-319-46367-4_7

Effluent predictions for violations risk detection

Ignacio Santín, Carles Pedret, Ramón Vilanova

Department of Telecommunications and Systems Engineering

Research output: Chapter in Book › Chapter › Research › peer-review

Abstract

© Springer International Publishing Switzerland 2017. This chapter deals with the elimination of SNtot,e and SNH,e using BSM2, which provides a more elaborated and variable influent with an assessment of one year. Applying control strategies to avoid effluent violations, only when an increase of contaminants is already detected in the reactors, is not enough in BSM2. Due to this fact, an effluent prediction of the pollutants based on some variables in the influent is required. ANNs are implemented with this aim.

Original language	English
Title of host publication	Intelligent Systems, Control and Automation: Science and Engineering
Pages	89-95
Number of pages	6
Volume	86
ISBN (Electronic)	2213-8994
DOIs	https://doi.org/10.1007/978-3-319-46367-4_7
Publication status	Published - 1 Jan 2017

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10.1007/978-3-319-46367-4_7

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Effluent predictions for violations risk detection

Abstract

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