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COASTAL 'OMNI-LINE': MULTI-SCALE DATA SYNTHESIS, TOP-DOWN AND BOTTOM-UP

conference contribution
posted on 2024-01-18, 05:07 authored by RJ McCarroll, Daniel IerodiaconouDaniel Ierodiaconou, DM Kennedy, N Pucino, B Allan, J Liu, A Meucci, I Young, HQ Tran, R Carvalho, R Bishop-Taylor
Debate exists on use of large-scale, simplified models for predicting shoreline change, e.g., IPCC AR6, as opposed to local-scale ‘compartment-based’ studies. An alternative is to act both top-down and bottom-up, integrating multi-scale data. We outline a prototype ‘Omni-Line’ coastal database, spanning Victoria, Australia (2500 km coastline), part of the Victorian Coastal Monitoring Program (VCMP). The database framework comprises 30-m alongshore-spaced transects from Digital Earth Australia Coastlines (DEAC; Geoscience Australia; 1988 - 2020), with all datasets interpolated to the same framework. Cross-sections are extracted from the Victorian Coastal DEM (2021). Morphology is from ‘SmartLine’. Divisions are by Coastal Compartments (Coastal Sediment Compartment Project). Coastal structures are from the Coastal Asset Management System (CAMS). Wave and water level statistics are interpolated from regional models (Tran et al., 2021; Liu et al., 2022). Aerial imagery shorelines (1930 onward) are extracted at selected locations. Observational data are from VCMP wave buoys (n = 13); and drone surveys (n = 38 sites).

History

Pagination

120-120

Location

Sydney, NSW.

Start date

2022-07-02

End date

2022-07-08

ISSN

0161-3782

eISSN

2156-1028

ISBN-13

9780989661164

Language

eng

Title of proceedings

Proceedings of the Coastal Engineering Conference

Event

International Conference on Coastal Engineering (ICCE). Conference (2022 : Sydney, NSW.)

Issue

37

Publisher

Coastal Engineering Research Council

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