Home > Research > Publications & Outputs > Fuzzy rule-based model for contaminant transpor...
View graph of relations

Fuzzy rule-based model for contaminant transport in a natural river channel.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Fuzzy rule-based model for contaminant transport in a natural river channel. / Kettle, Helen; Hankin, Barry G.; Beven, Keith J.
In: Journal of Hydroinformatics, Vol. 4, No. 1, 2002, p. 53-62.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

APA

Vancouver

Kettle H, Hankin BG, Beven KJ. Fuzzy rule-based model for contaminant transport in a natural river channel. Journal of Hydroinformatics. 2002;4(1):53-62.

Author

Kettle, Helen ; Hankin, Barry G. ; Beven, Keith J. / Fuzzy rule-based model for contaminant transport in a natural river channel. In: Journal of Hydroinformatics. 2002 ; Vol. 4, No. 1. pp. 53-62.

Bibtex

@article{c708f37377f0436bb33c2c0223cd8df4,
title = "Fuzzy rule-based model for contaminant transport in a natural river channel.",
abstract = "Fuzzy rules are used to model solute dispersion in a river dead zone, such that the turbulent diffusion is determined by a fuzzy inference system which relates the local mean velocity shear to the longitudinal velocity fluctuations. A finite-volume hybrid scheme is applied to a non-orthogonal grid for which a mean velocity field is produced using the computational fluid dynamics (CFD) package Telemac 2D. At each cell face fuzzy rules predict a fuzzy number, and these numbers reflect the possible magnitudes of turbulent velocity fluctuations. These are input to the finite-volume model using a single-value simulation method. Multiple model runs produce a fuzzy number for the solute concentration in each cell. The results of the fuzzy model are then compared with data collected in a field experiment with rhodamine dye in the River Severn.",
author = "Helen Kettle and Hankin, {Barry G.} and Beven, {Keith J.}",
year = "2002",
language = "English",
volume = "4",
pages = "53--62",
journal = "Journal of Hydroinformatics",
issn = "1464-7141",
publisher = "IWA Publishing",
number = "1",

}

RIS

TY - JOUR

T1 - Fuzzy rule-based model for contaminant transport in a natural river channel.

AU - Kettle, Helen

AU - Hankin, Barry G.

AU - Beven, Keith J.

PY - 2002

Y1 - 2002

N2 - Fuzzy rules are used to model solute dispersion in a river dead zone, such that the turbulent diffusion is determined by a fuzzy inference system which relates the local mean velocity shear to the longitudinal velocity fluctuations. A finite-volume hybrid scheme is applied to a non-orthogonal grid for which a mean velocity field is produced using the computational fluid dynamics (CFD) package Telemac 2D. At each cell face fuzzy rules predict a fuzzy number, and these numbers reflect the possible magnitudes of turbulent velocity fluctuations. These are input to the finite-volume model using a single-value simulation method. Multiple model runs produce a fuzzy number for the solute concentration in each cell. The results of the fuzzy model are then compared with data collected in a field experiment with rhodamine dye in the River Severn.

AB - Fuzzy rules are used to model solute dispersion in a river dead zone, such that the turbulent diffusion is determined by a fuzzy inference system which relates the local mean velocity shear to the longitudinal velocity fluctuations. A finite-volume hybrid scheme is applied to a non-orthogonal grid for which a mean velocity field is produced using the computational fluid dynamics (CFD) package Telemac 2D. At each cell face fuzzy rules predict a fuzzy number, and these numbers reflect the possible magnitudes of turbulent velocity fluctuations. These are input to the finite-volume model using a single-value simulation method. Multiple model runs produce a fuzzy number for the solute concentration in each cell. The results of the fuzzy model are then compared with data collected in a field experiment with rhodamine dye in the River Severn.

M3 - Journal article

VL - 4

SP - 53

EP - 62

JO - Journal of Hydroinformatics

JF - Journal of Hydroinformatics

SN - 1464-7141

IS - 1

ER -