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Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach.

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

Published

Standard

Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach. / Price, L. E.; Fawcett, C. P.; Young, Peter C. et al.
In: Hydrological Sciences Journal, Vol. 45, No. 2, 04.2000, p. 237-248.

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

Harvard

Price, LE, Fawcett, CP, Young, PC & Rowan, JS 2000, 'Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach.', Hydrological Sciences Journal, vol. 45, no. 2, pp. 237-248. <http://www.cig.ensmp.fr/~iahs/hsj/450/hysj_45_02_0237.pdf>

APA

Price, L. E., Fawcett, C. P., Young, P. C., & Rowan, J. S. (2000). Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach. Hydrological Sciences Journal, 45(2), 237-248. http://www.cig.ensmp.fr/~iahs/hsj/450/hysj_45_02_0237.pdf

Vancouver

Price LE, Fawcett CP, Young PC, Rowan JS. Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach. Hydrological Sciences Journal. 2000 Apr;45(2):237-248.

Author

Price, L. E. ; Fawcett, C. P. ; Young, Peter C. et al. / Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach. In: Hydrological Sciences Journal. 2000 ; Vol. 45, No. 2. pp. 237-248.

Bibtex

@article{d88e8b7e2dbd4115bb49e167056916f9,
title = "Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach.",
abstract = "The data-based mechanistic (DBM) modelling methodology is applied to the study of reservoir sedimentation. A lumped-parameter, discrete-time model has been developed which directly relates rainfall to suspended sediment load (SSL) at the reservoir outflow from the two years of measured data at Wyresdale Park Reservoir (Lancashire, UK). This nonlinear DBM model comprises two components: a rainfall to SSL model and a second model, relating the SSL at the reservoir inflow to the SSL at the reservoir spillway. Using a daily measured rainfall series as the input, this model is used to reconstruct daily deposition rates between 1911 and 1996. This synthetic sediment accretion sequence is compared with the variations in sand content within sediment cores collected from the reservoir floor. These profiles show good general agreement, reflecting the importance of low reoccurrence, high magnitude events. This preliminary study highlights the potential of this DBM approach, which could be readily applied to other sites.",
author = "Price, {L. E.} and Fawcett, {C. P.} and Young, {Peter C.} and Rowan, {J. S.}",
year = "2000",
month = apr,
language = "English",
volume = "45",
pages = "237--248",
journal = "Hydrological Sciences Journal",
issn = "0262-6667",
publisher = "TAYLOR & FRANCIS LTD",
number = "2",

}

RIS

TY - JOUR

T1 - Modelling reservoir sedimentation and estimating historical deposition rates using a data-based mechanistic (DBM) approach.

AU - Price, L. E.

AU - Fawcett, C. P.

AU - Young, Peter C.

AU - Rowan, J. S.

PY - 2000/4

Y1 - 2000/4

N2 - The data-based mechanistic (DBM) modelling methodology is applied to the study of reservoir sedimentation. A lumped-parameter, discrete-time model has been developed which directly relates rainfall to suspended sediment load (SSL) at the reservoir outflow from the two years of measured data at Wyresdale Park Reservoir (Lancashire, UK). This nonlinear DBM model comprises two components: a rainfall to SSL model and a second model, relating the SSL at the reservoir inflow to the SSL at the reservoir spillway. Using a daily measured rainfall series as the input, this model is used to reconstruct daily deposition rates between 1911 and 1996. This synthetic sediment accretion sequence is compared with the variations in sand content within sediment cores collected from the reservoir floor. These profiles show good general agreement, reflecting the importance of low reoccurrence, high magnitude events. This preliminary study highlights the potential of this DBM approach, which could be readily applied to other sites.

AB - The data-based mechanistic (DBM) modelling methodology is applied to the study of reservoir sedimentation. A lumped-parameter, discrete-time model has been developed which directly relates rainfall to suspended sediment load (SSL) at the reservoir outflow from the two years of measured data at Wyresdale Park Reservoir (Lancashire, UK). This nonlinear DBM model comprises two components: a rainfall to SSL model and a second model, relating the SSL at the reservoir inflow to the SSL at the reservoir spillway. Using a daily measured rainfall series as the input, this model is used to reconstruct daily deposition rates between 1911 and 1996. This synthetic sediment accretion sequence is compared with the variations in sand content within sediment cores collected from the reservoir floor. These profiles show good general agreement, reflecting the importance of low reoccurrence, high magnitude events. This preliminary study highlights the potential of this DBM approach, which could be readily applied to other sites.

M3 - Journal article

VL - 45

SP - 237

EP - 248

JO - Hydrological Sciences Journal

JF - Hydrological Sciences Journal

SN - 0262-6667

IS - 2

ER -