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

L. E. Price, P. Goodwill, P. C. Young, J. S. Rowan

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    11 Citations (Scopus)

    Abstract

    This paper outlines the application of a new data-based mechanistic (DBM) modeling 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 instrumental 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 deal for evaluating the effects of uncertainty through Monte Carlo simulations (MCS) for discharge and sediment transmission. Copyright (C) 2000 John Wiley and Sons, Ltd.

    Original languageEnglish
    Pages (from-to)63-78
    Number of pages16
    JournalHydrological Processes
    Volume14
    Issue number1
    Early online date10 Jan 2000
    DOIs
    Publication statusPublished - 10 Jan 2000

    Keywords

    • Continuous time
    • Data-based mechanistic model
    • Sediment dynamics
    • Time-series analysis
    • Transfer function model
    • Trap efficiency

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