ICCE 2022

How to Cite

COASTAL ‘OMNI-LINE’: MULTI-SCALE DATA SYNTHESIS, TOP-DOWN AND BOTTOM-UP. (2023). Coastal Engineering Proceedings, 37, management.120.


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).


Liu, Meucci, Liu, Babanin, Ierodiaconou, Young (2022): The wave climate of Bass Strait and South-East Australia. Ocean Modelling, ELSEVIER, vol. 172, p. 101980.

Tran, Provis, Babanin (2021): Hydrodynamic Climate of Port Phillip Bay. Journal of Marine Science and Engineering, MSCI, vol. 9(8), p. 898.

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This work is licensed under a Creative Commons Attribution 4.0 International License.

Copyright (c) 2023 R. Jak McCarroll, Daniel Ierodiaconou, David M. Kennedy, Nicolas Pucino, Blake Allan, Jin Liu, Alberto Meucci, Ian Young, Huy Quang Tran, Rafael Carvalho, Robbi Bishop-Taylor