Information on coastal erosion risk is essential for effective coastal management. Ideally, risk assessments should be regularly updated with ongoing monitoring data, allowing identification of local-scale, time-varying threats. Yet, due to resource requirements, this approach is rare.
This work presents on a collaboration between a state government and a regional authority to establish cost-effective methods for dynamic reporting on coastal risk, covering 16 sites along the Great Ocean Road, Victoria, Australia, incorporating ongoing monitoring data (>300 drone surveys and 35 years of satellite-derived shorelines). A transect-based coastal database, maintained at the state level, provides a framework for modular analyses that scale in complexity according to site priority. Tools built into the framework include: (1) coastal erosion warning indicators; (2) potential land and asset impact; and (3) numerical modelling of coastal risk levels and beach management scenarios.
Dynamic assessments were designed to support operational management, providing updates on short and long-term shoreline change. As part of the final pilot program assessment, 3 sites (of 16) had high long-term erosion trends, 4 experienced moderate short-term erosion (last 2 years), and a high risk of erosion to assets was predicted for 2 sites. Detailed risk modelling for a high-priority site (Marengo) was used to inform where further intervention was required, and to assess medium-term (10 year) beach nourishment scenarios.
Use of a modular, scalable framework capable of incorporating ongoing monitoring data can provide effective decision support for time-sensitive management options. We suggest wide-reaching management benefits could be achieved by provision of large-scale coastal databases by national and provincial authorities, allowing resource-limited coastal managers to benefit through cost-efficient local-scale application of hazard and risk assessment tools.
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