Home About Browse Search
Svenska


Optical sensors in drinking water production : Towards automated process control in relation to natural organic matter

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]

[img] PDF
3MB

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
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

Repository Staff Only: item control page

Downloads

Downloads per year (since September 2012)

View more statistics

Downloads
Hits