Spotting areas critical to storm waves and surge impacts on coasts with data scarcity: a case study in Santa Catarina, Brazil

Karen C Pazini,Paula Gomes Da Silva,Jarbas Bonetti,Antonio Henrique Fontoura Klein

doi:10.1007/s11069-022-05275-1

Karen C Pazini, Paula Gomes Da Silva + Show 2 more

Open Access

https://doi.org/10.1007/s11069-022-05275-1

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Abstract

The impacts of severe storms on the coastal zone, combined with rapid population growth in this area, have made coastal risk management an urgent need. However, integrated risk assessment can be a challenging task for many locations worldwide, as it normally requires the use of a large amount of data. The Coastal Risk Assessment Framework phase one (CRAF1) is a recently proposed analytical scheme based on empirical models and spatial analysis that combines different indicators to identify storm-induced hotspots. With a high degree of flexibility, the methodology was originally designed to be of broad use. Still, there is little information about the tool applicability in data scarcity conditions. In this study, we show that this approach can be applied, with some simplifications, on data-poor areas, allowing the identification of hotspots considering one or multiple hazards. Here, the coastal risk was assessed for erosion and coastal flooding events with return periods of 10 and 50 years on the Santa Catarina Central Coast. The study area is characterized by the occurrence of storm-induced impacts that historically cause disruption and damage to local communities. Although the components of risk have been assessed using various methods along this sector, to date, no integrated risk analysis has been presented in probabilistic terms. Predicted scenarios for the Santa Catarina Central Coast suggest that extreme episodes may cause several impacts, exposing urban settlements as well local road systems, especially in the municipalities of Tijucas and Florianópolis. The results show that the CRAF1 is an appropriate approach for a first-level risk analysis, even when implemented with poor data resolution, as it effectively points to some of the most vulnerable stretches detected in the study area.

Highlights

Storm-induced waves and surges can be considered among the most important drivers of coastal flooding and erosion, often interrelated impacts that affect most locations worldwide (Kron, 2013; Von Storch, 2014)
It must be highlighted that Tijucas is, susceptible to the occurrence of extensive flood episodes (Santos and Bonetti, 2018), since a relatively well-developed low-lying chenier coastal plain is established on its hinterland (FitzGerald et al, 2007)
The results indicate that Florianópolis is the most susceptible and vulnerable municipality to the hazard of erosion in the study area

Summary

Introduction

Storm-induced waves and surges can be considered among the most important drivers of coastal flooding and erosion, often interrelated impacts that affect most locations worldwide (Kron, 2013; Von Storch, 2014). Risk assessment is important for developing countries, in which reduced resilience means the population is exposed to more severe consequences of flood and erosion than those living in developed regions (Church et al, 2008; Hanson et al, 2011; Neumann et al, 2015; UNISDR, 2018). Estimating risk in these areas can be challenging though, as data are often unavailable or present poor resolution

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