A statistical-process based approach for modelling beach profile variability

Douglas Pender, Harshinie Karunarathna

    Research output: Contribution to journalArticlepeer-review

    86 Citations (Scopus)

    Abstract

    This paper presents a methodology for modelling medium term (annual to decadal) cross shore beach profile change and erosion. The statistical-process based approach (SPA) presented here combines detailed statistical modelling of offshore storm climate with a process based morphodynamic model (XBeach), to assess, and quantify morphodynamic variability of cross shore beach profiles. Until now, the use of process based models has been limited to simulations at storm event timescales. This methodology therefore represents the first application of a fully process based model in longer term simulations, as such, the approach requires simulation of post-storm beach profile recovery as well as individual event impacts. Narrabeen Beach, NSW, Australia was used as a case study for application of the technique due to the availability of an extensive set of storm and beach profile data. The results presented here demonstrate that the methodology produces encouraging results for determining medium term beach profile variability and erosion. (C) 2013 Elsevier B.V. All rights reserved.

    Original languageEnglish
    Pages (from-to)19-29
    Number of pages11
    JournalCoastal Engineering
    Volume81
    DOIs
    Publication statusPublished - Nov 2013

    Keywords

    • Storm erosion
    • Extreme storm statistics
    • XBeach
    • Beach erosion and accretion
    • Beach profile morphodynamics
    • Narrabeen Beach
    • WAVE CLIMATE
    • SEDIMENT TRANSPORT
    • UNIFIED VIEW
    • SURF ZONES
    • CURRENTS
    • EROSION
    • SCALE
    • OSCILLATION
    • AUSTRALIA
    • EVOLUTION

    Fingerprint

    Dive into the research topics of 'A statistical-process based approach for modelling beach profile variability'. Together they form a unique fingerprint.

    Cite this