Developing a beach erosion sensitivity indicator using relational spatial databases and Analytic Hierarchy Process

Díaz-Cuevas, Pilar; Campos, Antonio Prieto; Zújar, José Ojeda

doi:10.1016/j.ocecoaman.2020.105146

Cited by 13 publications

(9 citation statements)

References 41 publications

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“…The coastal morphology is directly linked with the sensitivity of the system. Beach width determines the distance of structures from the shoreline [38], which influences the degree of flooding associated with storm surges [43]. Dissipative beaches, with gentle slopes and fine sediments, present low permeability and usually small morphological sea-sonal changes, while reflective beaches, with coarser sediments and greater permeability, are considered to be highly susceptible beaches [94].…”

Section: Discussionmentioning

confidence: 99%

“…In other words, CVI is the square root of the product among all variables divided by the number of variables themselves. Based on recent applications of the CVI approach all over the world (e.g., Sekovski et al [17] Koroglu et al [36], Díaz-Cuevas et al [38], Rangel-Buitrago et al [42], Narra et al [43], Hoque et al [44], Mohd et al [45]), three different groups are here used to cluster all variables considered in the susceptibility/vulnerability analysis, i.e., forcing-related aspects, coastal characteristics, and socio-economic activities. Such groups and relevant variables are detailed in the following subsections.…”

Section: Susceptibility/vulnerability Characterizationmentioning

confidence: 99%

“…Erosion/accretion rates, coastal geomorphology, relief and coastal slope were also considered in more recent regional studies carried out in Catalonia and Andalusia (Spain) [36,38], Bangladesh [89], Portugal [43], Italy and Brazil [90]. Different studies concerning coastal sensitivity/vulnerability considered a large and specific number of coastal morphological parameters.…”

Section: Coastal Characteristicsmentioning

confidence: 99%

“…Concerning morphological variables used in the sub-index regarding sandy coasts, relevance was given to significant features in coastal stability and protection such as beach and dune systems that constitute the final defense line against high water levels and waves during severe storms [88,105]. Backshore and accommodation space widths were considered by Díaz-Cuevas et al [38] and distance of structures from the shoreline was considered by Narra et al [43]. Beach width is usually expressed by means of absolute values of coastal erosion rate [23,106] but this is very subjective since both beach width and erosion rates can range a lot from coast to coast.…”

Section: Coastal Characteristicsmentioning

confidence: 99%

“…One of the most common weighting methods is the analytical hierarchy process (AHP) that, although developed in the 1970s [37], is lately becoming more frequently used in coastal vulnerability studies [17,38]. The scores are usually assigned by experts and a comparison matrix is produced, reflecting the importance of each variable relative to all other variables.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Anfuso

Postacchini

Luccio

et al. 2021

JMSE

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Coastal area constitutes a vulnerable environment and requires special attention to preserve ecosystems and human activities therein. To this aim, many studies have been devoted both in past and recent years to analyzing the main factors affecting coastal vulnerability and susceptibility. Among the most used approaches, the Coastal Vulnerability Index (CVI) accounts for all relevant variables that characterize the coastal environment dealing with: (i) forcing actions (waves, tidal range, sea-level rise, etc.), (ii) morphological characteristics (geomorphology, foreshore slope, dune features, etc.), (iii) socio-economic, ecological and cultural aspects (tourism activities, natural habitats, etc.). Each variable is evaluated at each portion of the investigated coast, and associated with a vulnerability level which usually ranges from 1 (very low vulnerability), to 5 (very high vulnerability). Following a susceptibility/vulnerability analysis of a coastal stretch, specific strategies must be chosen and implemented to favor coastal resilience and adaptation, spanning from hard solutions (e.g., groins, breakwaters, etc.) to soft solutions (e.g., beach and dune nourishment projects), to the relocation option and the establishment of accommodation strategies (e.g., emergency preparedness).

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Section: Discussionmentioning

confidence: 99%

Section: Susceptibility/vulnerability Characterizationmentioning

confidence: 99%

Section: Coastal Characteristicsmentioning

confidence: 99%

Section: Coastal Characteristicsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Anfuso

Postacchini

Luccio

et al. 2021

JMSE

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Long‐term and short‐term analysis of shoreline change and cliff retreat on Brazilian equatorial coast

Leisner,

de Paula,

Alves

et al. 2023

Earth Surf Processes Landf

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Assessing historical changes in the shoreline and retreat of cliffs is essential for understanding the evolution and behaviour of specific coastal systems. The present study focused on shoreline changes and cliff base retreat trends at different time scales (annual/decadal) along a 680‐m stretch of Pacheco Beach (Caucaia, Northeast Brazil), which are characterized by coastal erosion and mass movements that have posed risks to residents and visitors to this beach. Shoreline position data were obtained through images collected by satellites and field campaigns for precision mapping through unmanned aerial vehicle (UAV) photogrammetry. The spatiotemporal variations of the shoreline were acquired through an extension of the ArcGIS Digital Shoreline Analysis System (DSAS) and the linear regression rate (LRR) statistical method that reflects the variations that have occurred in the coastal segment. The long‐term results show constant erosion patterns in the study area, with a shoreline retreat of −31 m in the last 17 years at an average rate of −1.8 m/year. In the short term, the average rate of retreat between May 2021 and Jan 2022 was −2.9 m, indicating that 88.78% of the evaluated section was in a continuous process of erosion. Several factors and processes cause the short‐term rates to be more severe than historical rates, demonstrating the stochastic nature of the Pacheco Beach cliff system. This research provides essential data for understanding and predicting shoreline changes on different time scales, thereby contributing to the identification and zoning of unstable cliffs and allowing for the mapping of risk areas to direct coastal management strategies.

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Assessment of beach erosion susceptibility based on geo-indicators and soft management policies: a Patagonian case study (Argentina)

Bunicontro

Marcomini

López

2021

Bull Eng Geol Environ

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Developing a beach erosion sensitivity indicator using relational spatial databases and Analytic Hierarchy Process

Cited by 13 publications

References 41 publications

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Coastal Sensitivity/Vulnerability Characterization and Adaptation Strategies: A Review

Long‐term and short‐term analysis of shoreline change and cliff retreat on Brazilian equatorial coast

Assessment of beach erosion susceptibility based on geo-indicators and soft management policies: a Patagonian case study (Argentina)

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