A geomorphological and hydrodynamic approach for beach safety and sea bathing risk estimation

Ferrari, Marco; Carpi, Luca; Pepe, Giacomo; Mucerino, Luigi; Schiaffino, Chiara Francesca; Brignone, Massimo; Cevasco, Andrea

doi:10.1016/j.scitotenv.2019.03.378

Cited by 18 publications

(19 citation statements)

References 54 publications

(73 reference statements)

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“…Hazard can be defined as "the probability of occurrence of a potentially damag-ing phenomenon within a specific period of time and within a given area" (Varnes 1984). To evaluate the rip hazard level, we propose a method based on probability theory (Ferrari et al 2019). We considered three different hazard descriptors: (1) Significative wave height ( H s ), (2) Wave period ( T m ) and (3) Wave direction ( • m ).…”

Section: Rip Currents Hazard Assessmentmentioning

confidence: 99%

“…Additional information on accident dynamics is not described. The beachgoers risk exposure theme has a key role in coastal management practice (Ferrari et al 2019). Even though official data are rare, it is obvious many people are potentially exposed to natural hazards along the Ligurian beaches-NW Italy.…”

Section: Introductionmentioning

confidence: 99%

“…The aim of this study is to propose an expeditious method to evaluate the rip currents hazard and risk. In detail, we proposed a variant to the method proposed previously (Ferrari et al 2019), based on the probability theory. The method is tested on the Alassio beach, located on the Ligurian Western coast (Ligurian Sea, NW Italy), which is one of the most popular seaside tourist location of the continent.…”

Section: Introductionmentioning

confidence: 99%

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Rip current hazard assessment on a sandy beach in Liguria, NW Mediterranean

et al. 2020

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Rip currents are one of the most significant environmental hazards for beachgoers and are of interest to coastal scientists. Several studies have been conducted to understand rip current dynamics, and several approaches for rip hazard assessment have been proposed. In general, the purpose is to provide knowledge and tools to support authorities and lifeguards in rip current risk prevention. This study proposes the application of an expeditious methodology to evaluate rip current hazard and risk, based on probability theory. The tested area was located along the Alassio beach, a renowned tourist destination located on the western Ligurian coast (NW Italy). A coastal video-monitoring system was used for rip currents individuation, whereas wave data were collected thanks to an oceanographic buoy managed by Regione Liguria. In detail, a yearly analysis was performed to identify the correspondence between rip currents and wave parameters data. The results showed that rip currents occur, in the study area, under moderate wave conditions ($$0.5 \le H_s \le 1.34$$ 0.5 ≤ H s ≤ 1.34 m; $$4.7\le T_m \le 7.0$$ 4.7 ≤ T m ≤ 7.0 s; $$150^{\circ }\,\hbox {N} \le \theta _m \le 227^{\circ }$$ 150 ∘ N ≤ θ m ≤ 227 ∘ N). Based on this analysis, an easy application of the probability theory was applied to evaluate the level of hazard. Moreover, considering the official tourist data, we also perform an expeditious rip currents risk evaluation. The results showed that the hazard level is considered high at annual time scale and moderate during the tourist season; the risk is related to seasonal presences. The study can propose a tool to support authorities and lifeguards in water safety planning and management.

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Section: Rip Currents Hazard Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Rip current hazard assessment on a sandy beach in Liguria, NW Mediterranean

et al. 2020

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“…O principal tipo de abordagem tem se baseado em modelos matemáticos de cunho geomorfológico e hidrológico para simular situações específicas, tais como inundações e deslizamentos, ou até como amparo para criação de sistemas de alerta (Olivattil et al, 2016;Kunz et al, 2016). Em outras situações, são utilizadas técnicas de análise especial aliada a levantamentos de campo para o zoneamento de áreas de risco geomorfológico em grandes e médias cidades brasileiras (Vital et al, 2016;Silva et al, 2017;Ferrari et al, 2019). Outros, embora também se utilizem de ferramentas de análise espacial, dão maior ênfase a fatores sociais e históricos (Martín-Díaz et al, 2018, Bon et al, 2018Luz et al, 2019).…”

Section: Introductionunclassified

Riscos Geomorfológicos No Município De Caicó-RN

Santos

Vital

2020

Rev. Bras. Geog. Fis.

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Este estudo tem por objetivo apresentar uma proposta de mapeamento dos riscos geomorfológicos do município de Caicó, utilizando bases compostas por informações geomorfológicas (unidades geomorfológicas e declividade), cobertura da terra e dados censitários. Para realização do mapeamento geomorfológico procurou-se seguir a metodologia de compartimentação geomorfológica do relevo em táxons, proposta por Ross (1992), permitindo identificar uma unidade morfoestrutural, duas unidades morfoesculturais, uma subunidade morfoescultural e cinco modelados, sendo quatro de denudação e um de acumulação. Com a elaboração do mapa de declividade, constatou-se a predominância de zonas pedimentares, cujo nível de ondulação varia majoritariamente entre plano e suave-ondulado. A partir do mapa de uso e cobertura da terra do município, constatou-se uma hegemonia da vegetação esparsa e do solo exposto nas zonas pedimentares, e a presença de vegetação densa em superfícies elevadas ou em contato com pequenos corpos hídricos. Com a análise dos mapas censitários podemos estabelecer se existe ou não a ocorrência de áreas de risco em ambientes urbanos. Os resultados obtidos mostram que todos os mapas elaborados no presente trabalho, fornecem subsídios ao planejamento e zoneamento dos riscos e ao ordenamento do território do município de Caicó. Geomorphological Risks in the Caicó (RN) Municipality A B S T R A C TThis study aims to present a proposal for mapping geomorphological risks in the municipality of Caicó, using bases composed of geomorphological information (geomorphological units and slope), land cover and census data. For the extraction of geomorphological data, we sought to follow the methodology of geomorphological compartmentation of the relief in taxa, proposed by Ross (1992) and Brasil (2009), with adaptations for the semiarid environment. With regard to social data, the 2010 censo was used. From the elaboration of the geomorphological map, the predominance of pedestrian zones was found, whose level of undulation varies mainly between plane, smooth-wavy to moderately-wavy. Through the land cover map, it was possible to verify a hegemony of sparse vegetation and exposed soil in pedestrian zones, and the presence of dense vegetation on elevated surfaces or in contact with small bodies of water. With the analysis of census maps, in turn, we can establish relationships between physical and human variables, for the determination of socio-environmental vulnerability zones. Therefore, it should be noted that the data presented here will serve as a subsidy for urban and environmental planning in the municipality of Caicó. Keywords: Geomorphological Mapping. Geomorphological Risks. Caicó-RN.

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“…Laser scanner and multibeam integration is widely applied to support geo-hydrological risk mitigation measures assessment and land management in coastal or fluvial areas (Alho et al, 2009;Aguilar et al, 2017;Boeder, Kersten, Hesse, Thies, & Sauer, 2010Brandolini, Faccini, Robbiano, & Terranova, 2009;Capra et al, 2017;Colbo, Ross, Brown, & Weber, 2014;Del Monte et al, 2015;Ferrari et al, 2019;Mancini et al, 2013;Mills, Buckley, Mitchell, Clarke, & Edwards, 2005;Monteys, Harris, Caloca, & Cahalane, 2015;Pranzini & Williams, 2013;Raso, Brandolini, Faccini, & Firpo, 2016;Raso et al, 2017;Troisi, Del Pizzo, Gaglione, Miccio, & Testa, 2015). Investigations on the stability of rocky coasts have often been carried out using such remote sensing techniques (Naylor, Stephenson, & Trenhaile, 2010), both for monitoring erosion of hard rock coastal cliffs (Rosser, Petley, Lim, Dunning, & Allison, 2005), and for detailed mapping of rock-failure susceptibility by means of non-contact geostructural surveys (De Vita, Cevasco, & Cavallo, 2012).…”

Section: Introductionmentioning

confidence: 99%

Remote sensing techniques applied to geomorphological mapping of rocky coast: the case study of Gallinara Island (Western Liguria, Italy)

Federici

Corradi

Ferrando

et al. 2019

European Journal of Remote Sensing

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Geomorphological survey and mapping of the emerged and submerged coastal areas, particularly addressed to evaluate sea cliff instability within the assessment of coastal hazard and risk mitigation measures, require high resolution and georeferenced spatial data. Remote sensing techniques fully satisfy these needs and allow to obtain all information in a single short-lived survey campaign. An integrated survey by means of laser scanner and multibeam techniques coupled with aerial photos interpretation has been experienced along the rocky coast of the Gallinara Island (Western Liguria, Italy). The small extent of Gallinara, together with its particular meteo-marine climate conditions, makes the island a noteworthy case study. Multibeam and laser scanner technologies allowed to reconstruct the submerged and emerged rocky coast at high resolution. The accuracy of the 3D surface reconstructed by means of laser scanner used in profiler mode was tested and validated, by comparing with the static laser scanner survey method. The resulting data allowed to obtain significant geological and geomorphological information leading to the definition of rocky cliff stability conditions.

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A geomorphological and hydrodynamic approach for beach safety and sea bathing risk estimation

Cited by 18 publications

References 54 publications

Rip current hazard assessment on a sandy beach in Liguria, NW Mediterranean

Rip current hazard assessment on a sandy beach in Liguria, NW Mediterranean

Riscos Geomorfológicos No Município De Caicó-RN

Remote sensing techniques applied to geomorphological mapping of rocky coast: the case study of Gallinara Island (Western Liguria, Italy)

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