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| Titel |
Applications of Fluorescence Spectroscopy for dissolved organic matter
characterization in wastewater treatment plants |
| VerfasserIn |
Angélique Goffin, Sabrina Guérin, Vincent Rocher, Gilles Varrault |
| Konferenz |
EGU General Assembly 2016
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 18 (2016) |
| Datensatznummer |
250129548
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| Publikation (Nr.) |
 EGU/EGU2016-9678.pdf |
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| Zusammenfassung |
| Dissolved organic matter (DOM) influences wastewater treatment plants efficiency (WTTP):
variations in its quality and quantity can induce a foaming phenomenon and a fouling event
inside biofiltration processes. Moreover, in order to manage denitrification step (control and
optimization of the nitrate recirculation), it is important to be able to estimate biodegradable
organic matter quantity before biological treatment. But the current methods used to
characterize organic matter quality, like biological oxygen demand are laborious, time
consuming and sometimes not applicable to directly monitor organic matter in situ. In the
context of MOCOPEE research program (www.mocopee.com), this study aims to assess the
use of optical techniques, such as UV-Visible absorbance and more specifically
fluorescence spectroscopy in order to monitor and to optimize process efficiency in
WWTP.
Fluorescence excitation-emission matrix (EEM) spectroscopy was employed to prospect
the possibility of using this technology online and in real time to characterize dissolved
organic matter in different effluents of the WWTP Seine Centre (240,000 m3/day)
in Paris, France. 35 sewage water influent samples were collected on 10 days at
different hours. Data treatment were performed by two methods: peak picking and
parallel factor analysis (PARAFAC). An evolution of DOM quality (position of
excitation – emission peaks) and quantity (intensity of fluorescence) was observed
between the different treatment steps (influent, primary treatment, biological treatment,
effluent).
Correlations were found between fluorescence indicators and different water
quality key parameters in the sewage influents. We developed different multivariate
linear regression models in order to predict a variety of water quality parameters by
fluorescence intensity at specific excitation-emission wavelengths. For example dissolved
biological oxygen demand (r2=0,900; p<0,0001) and ammonium concentration
(r2=0,898; p<0,0001) present good correlation with specific fluorescence peaks and
indicators. These indicators derived from 3D spectrofluorescence could be used in order
to characterize DOM online and thus to optimize process efficiency in WWTP. |
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