Advances in clog state monitoring for use in automated reed bed installations

Hughes-Riley, T. ORCID: 0000-0001-8020-430X, Newton, M.I. ORCID: 0000-0003-4231-1002, Webber, J.B.W., Puigagut, J., Uggetti, E., García, J. and Morris, R.H. ORCID: 0000-0001-5511-3457, 2014. Advances in clog state monitoring for use in automated reed bed installations. Lakes, Reservoirs and Ponds, 8 (1), pp. 52-65. ISSN 1844-6477

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Abstract

Constructed wetlands are a popular form of waste-water treatment that have proliferated across Europe and the rest of the world in recent years as an environmentally conscious form of waste water treatment. The ability to monitor the conditions in the bed and control input factors such as heating and aeration may extend the lifetime of the reed bed substantially beyond the ten year lifetime normally reached. The Autonomous Reed Bed Installation (ARBI) project is an EU FP7 initiative to develop a reed bed with automated control over input parameters based on readings taken from embedded sensors. Automated remedial action may improve bed treatment efficiency, and prolong the life of the bed and avoiding the need to refurbish the bed, which is both time consuming and costly. One critical parameter to observe is the clog state of the reed bed, as this can severely impact on the efficiency of water treatment to the point of the bed becoming non-operable. Magnetic resonance (MR) sensors can be a powerful tool in determining clogging levels, and has previously been explored in the literature. This work is based on a conference paper (2nd International Conference "Water resources and wetlands", 2014) and details magnetic sensors suitable for long-term embedding into a constructed wetland. Unlike previous studies this work examines a probe embedded into a wetland.

Item Type: Journal article
Publication Title: Lakes, Reservoirs and Ponds
Creators: Hughes-Riley, T., Newton, M.I., Webber, J.B.W., Puigagut, J., Uggetti, E., García, J. and Morris, R.H.
Publisher: Asociatia Romana de Limnogeografie, Romanian Limnogeographical Association
Date: 2014
Volume: 8
Number: 1
ISSN: 1844-6477
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 01 Dec 2017 14:59
Last Modified: 01 Dec 2017 15:00
URI: http://irep.ntu.ac.uk/id/eprint/32121

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