Development of hardware sensors for the online monitoring of SBR used for the treatment of industrial wastewaters
Authors:
Roberto Canziani a;
Elena Ficara a;
Nicola Fiocchi a;
Paolo Ratini b;
Massimiliano Pirani b;
Simone Mariani b;
Meriem Bekri c;
Andr
Pauss c;
Thierry Ribeiro c;
Olivier Schoefs c;
Jean-Claude Bouvier d;
J
r
me Harmand d;
Djalel Mazouni d
Pauss c;
Thierry Ribeiro c;
Olivier Schoefs c;
Jean-Claude Bouvier d;
J
r
me Harmand d;
Djalel Mazouni d
| Affiliations: | a Technical University of Milan, DIIAR - Environmental Section - Piazza Leonardo da Vinci 32, Milano, Italy |
| b SPES, Italy | |
c Universit de Technologie de Compi gne, France |
|
| d LBE - INRA, Narbonne, France |
DOI:
10.1080/13873950701723291
Publication Frequency:
6 issues per year
Published in:
Mathematical and Computer Modelling of Dynamical Systems,
Volume
14,
Issue
1
February
2008
, pages 27
- 37
Subjects:
Analysis - Mathematics;
Applied Mechanics;
Dynamical Control Systems;
Dynamical Systems;
Mathematical Modeling;
Mathematics & Statistics for Engineers;
Simulation & Modeling;
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Previously published as:
Mathematical Modelling of Systems
(1381-2424)
until 1998
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Abstract
The main challenge in the management of a sequencing batch reactor, for the biological treatment of urban and industrial wastewaters, is to ensure stable treatment efficiency under highly variable influent quality and quantity. To cope with this challenge, online instrumentation is fundamental, since it allows to characterize both influent variability and process efficiency. The more the online data are closely correlated with influent quality and SBRs treatment capacity, the more straightforward is the implementation of control strategies based on these data. In this paper, two monitoring techniques are described, which allow to obtain influent-related and process-related data: set-point titration and UV spectrophotometry. Despite the very different measuring principles, both techniques were successfully applied to SBRs monitoring and control leading to comparable results.
|
| Keywords: titration; UV spectrophotometry; nitrification; denitrification; SBR |
| view references (14) |

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