Reconstructing historic sedimentation rates using data-based mechanistic modelling

J. S. Rowan (Lead / Corresponding author), L. E. Price, C. P. Fawcett, P. C. Young

    Research output: Contribution to journalArticle

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    Abstract

    This paper reports an application of data-based mechanistic (DBM) modelling to the study of reservoir sedimentation. A detailed monitoring programme in the catchment of the Wyresdale Park reservoir was used to calibrate a two component DBM sedimentation model. The first component was a non-linear rainfall to suspended sediment load (SSL, kg s?¹) model, the second dealt with sediment routing and the trap efficiency of the reservoir. Daily precipitation data for the period 1911–1996 were used to simulate the sedimentation history of the reservoir. The synthetic accretion sequence evidences the effects of climatic forcing and was compared to lake-bed sediment cores independently dated using ¹³7Cs. The synthetic stack showed general agreement with the observed accretion data. Departures in model performance most likely reflect non-stationarity in the system due to local changes in land use and reservoir regulation
    Original languageEnglish
    Pages (from-to)77-82
    Number of pages6
    JournalPhysics and Chemistry of the Earth, Part B: Hydrology Oceans and Atmosphere
    Volume26
    Issue number1
    DOIs
    Publication statusPublished - 2001

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    sedimentation rate
    modeling
    sedimentation
    accretion
    routing
    suspended sediment
    sediment core
    catchment
    land use
    rainfall
    lake
    monitoring
    history
    sediment

    Cite this

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    title = "Reconstructing historic sedimentation rates using data-based mechanistic modelling",
    abstract = "This paper reports an application of data-based mechanistic (DBM) modelling to the study of reservoir sedimentation. A detailed monitoring programme in the catchment of the Wyresdale Park reservoir was used to calibrate a two component DBM sedimentation model. The first component was a non-linear rainfall to suspended sediment load (SSL, kg s?¹) model, the second dealt with sediment routing and the trap efficiency of the reservoir. Daily precipitation data for the period 1911–1996 were used to simulate the sedimentation history of the reservoir. The synthetic accretion sequence evidences the effects of climatic forcing and was compared to lake-bed sediment cores independently dated using ¹³7Cs. The synthetic stack showed general agreement with the observed accretion data. Departures in model performance most likely reflect non-stationarity in the system due to local changes in land use and reservoir regulation",
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    Reconstructing historic sedimentation rates using data-based mechanistic modelling. / Rowan, J. S. (Lead / Corresponding author); Price, L. E.; Fawcett, C. P.; Young, P. C.

    In: Physics and Chemistry of the Earth, Part B: Hydrology Oceans and Atmosphere, Vol. 26, No. 1, 2001, p. 77-82.

    Research output: Contribution to journalArticle

    TY - JOUR

    T1 - Reconstructing historic sedimentation rates using data-based mechanistic modelling

    AU - Rowan, J. S.

    AU - Price, L. E.

    AU - Fawcett, C. P.

    AU - Young, P. C.

    N1 - dc.publisher: Elsevier

    PY - 2001

    Y1 - 2001

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    AB - This paper reports an application of data-based mechanistic (DBM) modelling to the study of reservoir sedimentation. A detailed monitoring programme in the catchment of the Wyresdale Park reservoir was used to calibrate a two component DBM sedimentation model. The first component was a non-linear rainfall to suspended sediment load (SSL, kg s?¹) model, the second dealt with sediment routing and the trap efficiency of the reservoir. Daily precipitation data for the period 1911–1996 were used to simulate the sedimentation history of the reservoir. The synthetic accretion sequence evidences the effects of climatic forcing and was compared to lake-bed sediment cores independently dated using ¹³7Cs. The synthetic stack showed general agreement with the observed accretion data. Departures in model performance most likely reflect non-stationarity in the system due to local changes in land use and reservoir regulation

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    DO - 10.1016/S1464-1909(01)85018-8

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    JO - Physics and Chemistry of the Earth, Part B: Hydrology Oceans and Atmosphere

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