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Modelling dispersion in complex open channel flows: 2. Fuzzy calibration

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Modelling dispersion in complex open channel flows: 2. Fuzzy calibration. / Hankin, B. G.; Beven, Keith J.
In: Stochastic Hydrology and Hydraulics, Vol. 12, No. 6, 12.1998, p. 397-412.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Hankin BG, Beven KJ. Modelling dispersion in complex open channel flows: 2. Fuzzy calibration. Stochastic Hydrology and Hydraulics. 1998 Dec;12(6):397-412. doi: 10.1007/s004770050027

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Hankin, B. G. ; Beven, Keith J. / Modelling dispersion in complex open channel flows : 2. Fuzzy calibration. In: Stochastic Hydrology and Hydraulics. 1998 ; Vol. 12, No. 6. pp. 397-412.

Bibtex

@article{6a6cfcd1c0a649559d0efd1efa7a93b0,
title = "Modelling dispersion in complex open channel flows: 2. Fuzzy calibration",
abstract = "Part 1 of this study assessed the effectiveness of dispersion models based around random particle tracking (RPT) applied an overbank flow in the Flood Channel Facility at HR Wallingford. Several of the RPT models that were used predicted the mixing behaviour of the tracer in the complex channel flow to within an acceptable accuracy. If there is no uniqueness in the model structure which can be used to represent the true system to within the limitations of the available observations, then this implies an inherent degree of ambiguity in our knowledge of the physically based model structure. This suggests that we should be less forthright in the optimisation of each individual model structure, and perhaps investigate more of the parameter combinations for each model which yield feasible simulations of the system. An alternative fuzzy calibration technique is introduced which avoids the optimisation process and takes account of uncertainties in the model structure, parameter sets and observed data in prediction.",
keywords = "dispersion , particle tracking, random walks, overbank flow, equifinality, fuzzy calibration",
author = "Hankin, {B. G.} and Beven, {Keith J.}",
year = "1998",
month = dec,
doi = "10.1007/s004770050027",
language = "English",
volume = "12",
pages = "397--412",
journal = "Stochastic Hydrology and Hydraulics",
issn = "1435-151X",
publisher = "Springer Verlag",
number = "6",

}

RIS

TY - JOUR

T1 - Modelling dispersion in complex open channel flows

T2 - 2. Fuzzy calibration

AU - Hankin, B. G.

AU - Beven, Keith J.

PY - 1998/12

Y1 - 1998/12

N2 - Part 1 of this study assessed the effectiveness of dispersion models based around random particle tracking (RPT) applied an overbank flow in the Flood Channel Facility at HR Wallingford. Several of the RPT models that were used predicted the mixing behaviour of the tracer in the complex channel flow to within an acceptable accuracy. If there is no uniqueness in the model structure which can be used to represent the true system to within the limitations of the available observations, then this implies an inherent degree of ambiguity in our knowledge of the physically based model structure. This suggests that we should be less forthright in the optimisation of each individual model structure, and perhaps investigate more of the parameter combinations for each model which yield feasible simulations of the system. An alternative fuzzy calibration technique is introduced which avoids the optimisation process and takes account of uncertainties in the model structure, parameter sets and observed data in prediction.

AB - Part 1 of this study assessed the effectiveness of dispersion models based around random particle tracking (RPT) applied an overbank flow in the Flood Channel Facility at HR Wallingford. Several of the RPT models that were used predicted the mixing behaviour of the tracer in the complex channel flow to within an acceptable accuracy. If there is no uniqueness in the model structure which can be used to represent the true system to within the limitations of the available observations, then this implies an inherent degree of ambiguity in our knowledge of the physically based model structure. This suggests that we should be less forthright in the optimisation of each individual model structure, and perhaps investigate more of the parameter combinations for each model which yield feasible simulations of the system. An alternative fuzzy calibration technique is introduced which avoids the optimisation process and takes account of uncertainties in the model structure, parameter sets and observed data in prediction.

KW - dispersion

KW - particle tracking

KW - random walks

KW - overbank flow

KW - equifinality

KW - fuzzy calibration

U2 - 10.1007/s004770050027

DO - 10.1007/s004770050027

M3 - Journal article

VL - 12

SP - 397

EP - 412

JO - Stochastic Hydrology and Hydraulics

JF - Stochastic Hydrology and Hydraulics

SN - 1435-151X

IS - 6

ER -