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A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK.

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A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK. / Price, L. E.; Goodwill, P.; Young, Peter C. et al.
In: Hydrological Processes, Vol. 14, No. 1, 01.2000, p. 63-78.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Price, LE, Goodwill, P, Young, PC & Rowan, JS 2000, 'A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK.', Hydrological Processes, vol. 14, no. 1, pp. 63-78. https://doi.org/10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H

APA

Price, L. E., Goodwill, P., Young, P. C., & Rowan, J. S. (2000). A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK. Hydrological Processes, 14(1), 63-78. https://doi.org/10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H

Vancouver

Price LE, Goodwill P, Young PC, Rowan JS. A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK. Hydrological Processes. 2000 Jan;14(1):63-78. doi: 10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H

Author

Price, L. E. ; Goodwill, P. ; Young, Peter C. et al. / A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK. In: Hydrological Processes. 2000 ; Vol. 14, No. 1. pp. 63-78.

Bibtex

@article{b37130aea54444a2b1704268a6070da0,
title = "A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK.",
abstract = "This paper outlines the application of a new data-based mechanistic (DBM) modelling methodology to the characterization of the sediment transmission dynamics in a small upland reservoir, Wyresdale Park, Lancashire. The DBM modelling strategy exploits advanced statistical procedures to infer the dynamic model structure and its associated parameters directly from the instrumented data, producing a parametrically efficient, continuous time, transfer function model which relates suspended sediment load at the reservoir inflow to the outflow at the event scale. The associated differential equation model parameters have physical attributes which can be interpreted in terms of sediment transmission processes and associated reservoir trap efficiency. Sedigraph analysis suggests that wind-induced resuspension episodically supplies an additional load to the reservoir outlet. The stochastic nature of the DBM model makes it ideal for evaluating the effects of uncertainty through Monte Carlo simulations (MCS) for discharge and sediment transmission.",
keywords = "data-based mechanistic model, continuous time, transfer function model, time-series analysis, trap efficiency, sediment dynamics",
author = "Price, {L. E.} and P. Goodwill and Young, {Peter C.} and Rowan, {J. S.}",
year = "2000",
month = jan,
doi = "10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H",
language = "English",
volume = "14",
pages = "63--78",
journal = "Hydrological Processes",
issn = "0885-6087",
publisher = "John Wiley and Sons Ltd",
number = "1",

}

RIS

TY - JOUR

T1 - A data-based mechanistic modelling (DBM) approach to understanding dynamic sediment transmission through Wyresdale Park Reservoir, Lancashire, UK.

AU - Price, L. E.

AU - Goodwill, P.

AU - Young, Peter C.

AU - Rowan, J. S.

PY - 2000/1

Y1 - 2000/1

N2 - This paper outlines the application of a new data-based mechanistic (DBM) modelling methodology to the characterization of the sediment transmission dynamics in a small upland reservoir, Wyresdale Park, Lancashire. The DBM modelling strategy exploits advanced statistical procedures to infer the dynamic model structure and its associated parameters directly from the instrumented data, producing a parametrically efficient, continuous time, transfer function model which relates suspended sediment load at the reservoir inflow to the outflow at the event scale. The associated differential equation model parameters have physical attributes which can be interpreted in terms of sediment transmission processes and associated reservoir trap efficiency. Sedigraph analysis suggests that wind-induced resuspension episodically supplies an additional load to the reservoir outlet. The stochastic nature of the DBM model makes it ideal for evaluating the effects of uncertainty through Monte Carlo simulations (MCS) for discharge and sediment transmission.

AB - This paper outlines the application of a new data-based mechanistic (DBM) modelling methodology to the characterization of the sediment transmission dynamics in a small upland reservoir, Wyresdale Park, Lancashire. The DBM modelling strategy exploits advanced statistical procedures to infer the dynamic model structure and its associated parameters directly from the instrumented data, producing a parametrically efficient, continuous time, transfer function model which relates suspended sediment load at the reservoir inflow to the outflow at the event scale. The associated differential equation model parameters have physical attributes which can be interpreted in terms of sediment transmission processes and associated reservoir trap efficiency. Sedigraph analysis suggests that wind-induced resuspension episodically supplies an additional load to the reservoir outlet. The stochastic nature of the DBM model makes it ideal for evaluating the effects of uncertainty through Monte Carlo simulations (MCS) for discharge and sediment transmission.

KW - data-based mechanistic model

KW - continuous time

KW - transfer function model

KW - time-series analysis

KW - trap efficiency

KW - sediment dynamics

U2 - 10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H

DO - 10.1002/(SICI)1099-1085(200001)14:1<63::AID-HYP910>3.0.CO;2-H

M3 - Journal article

VL - 14

SP - 63

EP - 78

JO - Hydrological Processes

JF - Hydrological Processes

SN - 0885-6087

IS - 1

ER -