Magnetic resonance relaxation measurements using open-geometry sensors to assess the clog state of constructed wetlands

Hughes-Riley, T ORCID: https://orcid.org/0000-0001-8020-430X, Webber, JB, Newton, MI ORCID: https://orcid.org/0000-0003-4231-1002 and Morris, RH ORCID: https://orcid.org/0000-0001-5511-3457, 2014. Magnetic resonance relaxation measurements using open-geometry sensors to assess the clog state of constructed wetlands. Diffusion Fundamentals, 22 (3), pp. 1-8. ISSN 1862-4138

Preview

Text PubSub9600_Hughes-Riley.pdf - Post-print Download (519kB) | Preview

Abstract

Monitoring the T1 relaxation of wetland clog matter has previously been identified as a gauge of its clogged state [1]. Magnetic resonance MR)sensors explored in other work have typically been of a bore-whole configuration, which may not be ideal in a wetland environment where the sensitive volume of the sensor may become physically clogged and therefore inoperable. This work investigates two open-geometry sensor designs and a short study is presented to determine the suitability of the sensors for monitoring the clog state of wetlands. It was shown that a bar magnet geometry has a higher stray field than that of the four magnet surface sensor also presented, leading to a prohibitively short T2eff. This means that the T1 values collected are notably shorter and not useful for distinguishing between clog state for the single magnet sensor. By contrast the four magnet surface sensor has a longer T2eff, making it more suitable for T1 measurements; where T1 = 915 ± 212 ms for a very thinly clogged sample, and T1 = 127 ± 27 ms for a heavily clogged sample. This offers a clearly resolvable difference in the T1 values allowing the clogging state to be easily determined and making this sensor the desirable choice for long-term embedding.

Item Type:	Journal article
Publication Title:	Diffusion Fundamentals
Creators:	Hughes-Riley, T., Webber, J.B., Newton, M.I. and Morris, R.H.
Publisher:	Diffusion Fundamentals
Date:	2014
Volume:	22
Number:	3
ISSN:	1862-4138
Divisions:	Schools > School of Science and Technology
Record created by:	Linda Sullivan
Date Added:	01 Dec 2017 15:44
Last Modified:	01 Dec 2017 15:44
Related URLs:	Publisher
URI:	https://irep.ntu.ac.uk/id/eprint/32122

Actions (login required)

Edit View

Statistics

Views

Downloads