Identification of risk hotspots to storm events in a coastal region with high morphodynamic alongshore variability

Victoria Celedón, Laura Río, Óscar Ferreira (), Susana Costas and Theocharis A. Plomaritis
Additional contact information
Victoria Celedón: University of Cadiz
Laura Río: University of Cadiz
Óscar Ferreira: University of Algarve
Susana Costas: University of Algarve
Theocharis A. Plomaritis: University of Cadiz

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2023, vol. 115, issue 1, No 18, 488 pages

Abstract: Abstract High-energy storm events induce hazards that promote damage and destruction of property and infrastructure. Defining high-risk areas is therefore fundamental to prioritise management actions. This work presents the application of an approach to identify hotspots of storm impact at a regional scale (tens to hundreds of kilometres). The Coastal Risk Assessment Framework Phase 1 (CRAF1) is a hotspot selection method based on a coastal index that combines the potential hazard (i.e. overwash and erosion), the exposure (based on land use) and the vulnerability (based on socio-economic data) along each kilometre of the coast to assess the risk level. The suitability of the approach was tested on the southeastern coast of the Gulf of Cadiz (South Spain). CRAF1 was applied considering a morphological worst-case scenario and events of 10/50/100-year return period. The region shows a high overwash and erosion hazard level. Nevertheless, a relatively low number of risk hotspots were identified due to the low level of occupation in the study area. Comparison against available information of previous overwash and erosion events proved the reliability of the method to identify hotspots at a regional scale, even in a coastal area with high alongshore variability (geomorphology, wave exposure and tidal range). The results support the utility of the tool for coastal managers to prioritise and support risk reduction plans. Furthermore, the method presents two aspects that enlarge its potential applicability: (1) it is relatively easy to apply at a regional scale, and (2) it can be updated with new data to test different scenarios (e.g. sea-level rise).

Keywords: Storm events; Erosion hazard; Overwash hazard; Hotspot; Risk; Coastal index (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s11069-022-05562-x 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:115:y:2023:i:1:d:10.1007_s11069-022-05562-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11069

DOI: 10.1007/s11069-022-05562-x

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 ().