Calculation of Maximum Wave Run-Up and Erosion at Varna Regional Coast (Western Black Sea) Using Empirical Models

Eftimova, Petya; Valchev, Nikolay; Andreeva, Nataliya; Prodanov, Bogdan; Dimitrov, Lyubomir

doi:10.9753/icce.v35.management.17

Cited by 3 publications

(1 citation statement)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For calculation of wave run-up on sandy beaches, the Holman empirical model (Holman 1986) was employed, while for artificial and rocky slopes -EurOtop formulation (Pullen et al 2007). The process is described in (Eftimova et al 2017). Subsequently, the calculated TWLs were best fitted to Generalized Extreme Value distribution (Valchev et al 2016).…”

Section: Hazard Assessment Backgroundmentioning

confidence: 99%

ASSESSMENT OF COASTAL RECEPTORSâ€™ EXPOSURE VULNERABILITY TO FLOOD HAZARD ALONG VARNA REGIONAL COAST

Andreeva

Valchev

Prodanov

et al. 2017

Int. Conf. Coastal. Eng.

Self Cite

View full text Add to dashboard Cite

Storms and related disasters are phenomena producing coastal hazards and endangering human life and occupation. The study evaluates coastal receptorsâ€™ exposure and their vulnerability to storm-induced flooding hazard along Varna regional coast in Western Black Sea, Bulgaria. The assessment is performed employing the Coastal Risk Assessment Framework (CRAF) developed within EU FP7 RISC-KIT project. It constitutes a screening process that allows determination of susceptible alongshore sectors (hotspots) by assessing relevant hazard intensities, hazard extents and potential receptorsâ€™ exposure vulnerability within them by means of coastal indices approach. The ultimate goal is to evaluate potential risk posed by flooding in support to coastal managers, decision and policy makers. Assessment of coastal receptorsâ€™ exposure vulnerability is done by exposure indicators approach, using hazard intensities and flooding extents relevant to return period of 100 years. The approach consists of combining several indicators into a single index, thereby allowing a rapid comparison of coastal sectors. Five types of receptors are considered to formulate the relevant exposure indicators: Land Use, Population, Transport, Utilities and Business, which subsequently are combined into an Overall Exposure Indicator to evaluate potential direct and indirect impacts. Results show that the most vulnerable to coastal flooding in terms of exposure are coastal sectors located within Varna Bay, comprising port and industry facilities with regional, national and international significance.

show abstract

Section: Hazard Assessment Backgroundmentioning

confidence: 99%

ASSESSMENT OF COASTAL RECEPTORSâ€™ EXPOSURE VULNERABILITY TO FLOOD HAZARD ALONG VARNA REGIONAL COAST

Andreeva

Valchev

Prodanov

et al. 2017

Int. Conf. Coastal. Eng.

Self Cite

View full text Add to dashboard Cite

show abstract

Identification of Coastal Flooding Hotspots in a Large Bay Using an Index-Based Risk Assessment Approach

Andreeva

Eftimova

Valchev

et al. 2023

Lecture Notes in Networks and Systems

View full text Add to dashboard Cite

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

et al. 2022

View full text Add to dashboard Cite

The impacts of severe storms on the coastal zone, combined with rapid population growth in this area, has 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. The methodology, however, requires accurate data at the regional scale and was conceived and validated for the European region. 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 storminduced 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.

show abstract

Calculation of Maximum Wave Run-Up and Erosion at Varna Regional Coast (Western Black Sea) Using Empirical Models

Cited by 3 publications

References 20 publications

ASSESSMENT OF COASTAL RECEPTORSâ€™ EXPOSURE VULNERABILITY TO FLOOD HAZARD ALONG VARNA REGIONAL COAST

ASSESSMENT OF COASTAL RECEPTORSâ€™ EXPOSURE VULNERABILITY TO FLOOD HAZARD ALONG VARNA REGIONAL COAST

Identification of Coastal Flooding Hotspots in a Large Bay Using an Index-Based Risk Assessment Approach

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

Contact Info

Product

Resources

About