Identifying oceanographic conditions conducive to coastal impacts on temperate open coastal beaches
Chloe Leach (),
Ben S. Hague,
David M. Kennedy,
Rafael C. Carvalho and
Daniel Ierodiaconou
Additional contact information
Chloe Leach: The University of Melbourne
Ben S. Hague: Bureau of Meteorology
David M. Kennedy: The University of Melbourne
Rafael C. Carvalho: Deakin University
Daniel Ierodiaconou: Deakin University
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2021, vol. 109, issue 1, No 22, 499-521
Abstract:
Abstract Warnings issued by meteorological or oceanographic agencies are a common means of allowing people to prepare for likely impactful events. Quantifying the relationships between ocean conditions and coastal impacts, such as shoreline change or flooding of coastal assets (e.g. flooded access points, overtopping of sea walls) is crucial for developing operational coastal hazard warnings. Existing studies have largely omitted empirical data, relying on modelling to estimate total water levels and impact potentials. It is well documented that site-specific conditions influence local morphodynamics and as such, detailed data related to the physical environment is a necessary component of these existing approaches. The capacity to collect these data is not always available, however, and so an alternative approach that does no rely on detailed modelling may be necessary in some instances to identify the conditions that lead to coastal impacts. We propose an alternative empirically based approach for isolating oceanic conditions that are conducive to impact along open coasts, using two case studies from Victoria, southeast Australia: Port Fairy and Inverloch. Oceanic conditions were defined using data obtained from a WAVEWATCH III (WW3) model hindcast, assessed against newly installed wave buoys, which evidenced variation in mean conditions between the two sites. We coupled impact-based data derived from citizen-science and social media to modelled and observational data, to identify the oceanic conditions that led to impacts. We found heterogeneity in the response of the case study locations to deviations from the local mean wave characteristics and still water levels. This paper demonstrates an approach through which impact-based thresholds for erosion could be developed for management applications and early warning systems.
Keywords: Coastal impacts; Waves; Sea level; Coastal change; Coastal erosion (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s11069-021-04845-z Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:nathaz:v:109:y:2021:i:1:d:10.1007_s11069-021-04845-z
Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069
DOI: 10.1007/s11069-021-04845-z
Access Statistics for this article
Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards is currently edited by Thomas Glade, Tad S. Murty and Vladimír Schenk
More articles in Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards from Springer, International Society for the Prevention and Mitigation of Natural Hazards
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().