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dc.contributor.author
Furrer, Viviane
dc.contributor.supervisor
Maurer, Max
dc.contributor.supervisor
Schneider, Mariane
dc.contributor.supervisor
Villez, Kris
dc.date.accessioned
2019-03-26T08:40:28Z
dc.date.available
2019-03-25T13:56:31Z
dc.date.available
2019-03-26T08:40:28Z
dc.date.issued
2018-09-10
dc.identifier.uri
http://hdl.handle.net/20.500.11850/333560
dc.identifier.doi
10.3929/ethz-b-000333560
dc.description.abstract
Decentralized sanitation systems, where wastewater is treated on-site, is playing an important role to cover present and future sanitation demands due to their low investment costs and infrastructure requirements. Yet, on-site wastewater treatment plants (WWTP) suffer from bad reputation due to their high failure rate. However, the poor performance is by a great deal caused by the insuffcient monitoring and maintenance system and not by lack of appropriate technologies. A possibility to improve the monitoring proceeding is to remotely monitor a whole system of on-site WWTPs with the aid of low-maintenance sensors, installed at each unit, which deliver real-time information about the treatment performance. Methods are needed, that translate those sensor signals into performance parameters such as efluent concentration of certain substances. A method exists that predicts the ammonium efluent concentration based on the pH signal in the case of a pilot scale sequencing batch reactor (SBR). In this thesis, this method is tested on its applicability at an on-site SBR in operation. Moreover, the potential of an additional low-maintenance sensor, which measures the CO2 in the off-gas of a plant, was tested regarding remote monitoring of the bacterial activity. The results show, that the existing method based on the pH sensor can be applied at plants in operation, when they meet certain requirements regarding aeration pattern and inflow characteristics (ratio of alkalinity:ammonium > 2:1). In this thesis it is further illustrated, which possibilities exist to enlarge the application range of the method. Moreover, it could be demonstrated that the CO2 sensor represents a promising alternative for monitoring the biological activity. Yet, this method needs to be optimized in order to increase the information content of the model output.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Online monitoring
en_US
dc.subject
Onsite wastewater treatment
en_US
dc.subject
Sequencing batch reactor
en_US
dc.title
Remote Monitoring of On-Site Wastewater Treatment Plants by Means of Low-Maintenance Sensors
en_US
dc.type
Master Thesis
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2019-03-26
ethz.title.subtitle
Data Collection and Interpretation from a SBR in Operation
en_US
ethz.size
71 p.
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03989 - Maurer, Max / Maurer, Max
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02608 - Institut für Umweltingenieurwiss. / Institute of Environmental Engineering::03989 - Maurer, Max / Maurer, Max
en_US
ethz.date.deposited
2019-03-25T13:56:35Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-03-26T08:40:45Z
ethz.rosetta.lastUpdated
2019-03-26T08:40:45Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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