Cascone, Claudia
(2021).
Optical sensors in drinking water production : Towards automated process control in relation to natural organic matter.
Diss. (sammanfattning/summary)
Sveriges lantbruksuniv.,
Acta Universitatis Agriculturae Sueciae, 1652-6880
ISBN 978-91-7760-712-0
eISBN 978-91-7760-713-7
[Doctoral thesis]
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Abstract
Access to safe and clean drinking water is a basic human right (A/RES/64/292). In Sweden, large drinking water treatment plants use mainly surface water as water source. The long-term trend of increasing natural organic matter (NOM) in boreal and north European surface waters negatively affects the overall performance of the treatment processes. To address this issue, sensors are increasingly used as a tool for real-time analysis of water quality providing early warning of potential contamination and decision support for process control.
In this thesis, absorbance- and fluorescence-based sensors were used to estimate dissolved organic matter (DOM) concentrations in two Swedish rivers prior to managed aquifer recharge (MAR) and their accuracy was compared (Paper I and IV). The possibility of coupling a coagulation treatment with MAR was explored at laboratory-scale. Two pilot-scale experiments using granular activated carbon filtration were carried out to optimise DOM removal (Paper II). A recent method for molecular DOM analysis was tested to investigate the effect of ozone on low molecular weight compounds. An open-source Python toolbox called “AbspectroscoPY” was developed to pre-process the large amount of absorbance-based sensor data and compute a range of spectral metrics from the time-series data. This allowed a preliminary identification of variability in the spectrophotometric profiles of treated water as a step forward toward automated early warning systems (Paper III). An algorithm for turbidity compensation of the raw absorbance spectra was added (Paper IV). This thesis contributes to an increased knowledge on NOM removal in water treatment using high frequency sensor data from optical sensors.
Authors/Creators: | Cascone, Claudia |
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Title: | Optical sensors in drinking water production : Towards automated process control in relation to natural organic matter |
Series Name/Journal: | Acta Universitatis Agriculturae Sueciae |
Year of publishing : | 2021 |
Number: | 2021:17 |
Number of Pages: | 96 |
Publisher: | Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences |
ISBN for printed version: | 978-91-7760-712-0 |
ISBN for electronic version: | 978-91-7760-713-7 |
ISSN: | 1652-6880 |
Language: | English |
Publication Type: | Doctoral thesis |
Article category: | Other scientific |
Version: | Published version |
Full Text Status: | Public |
Subjects: | (A) Swedish standard research categories 2011 > 2 Engineering and Technology > 201 Civil Engineering > Water Engineering (A) Swedish standard research categories 2011 > 1 Natural sciences > 104 Chemical Sciences > Other Chemistry Topics (A) Swedish standard research categories 2011 > 1 Natural sciences > 107 Other Natural Sciences > Other Natural Sciences not elsewhere specified |
Keywords: | automated treatment, digitalisation of water treatment plants, python, dissolved organic matter, dissolved organic carbon, UV-Vis spectroscopy, absorbance, fluorescence, proton-transfer-reaction mass spectrometry, slope ratio |
URN:NBN: | urn:nbn:se:slu:epsilon-p-111100 |
Permanent URL: | http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-111100 |
ID Code: | 22798 |
Faculty: | NJ - Fakulteten för naturresurser och jordbruksvetenskap |
Department: | (NL, NJ) > Dept. of Aquatic Sciences and Assessment |
Deposited By: | SLUpub Connector |
Deposited On: | 19 Mar 2021 08:03 |
Metadata Last Modified: | 19 Mar 2021 14:50 |
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