Impacts of a Multi-Purpose Artificial Reef on Hydrodynamics, Waves and Long-Term Beach Morphology

Silva, Guilherme Vieira da; Hamilton, Daniel S.; Murray, Thomas; Strauss, Darrell; Shaeri, Saeed; Faivre, Gaëlle; Silva, Ana Paula da; Tomlinson, Rodger Benson

doi:10.2112/si95-137.1

Cited by 7 publications

(5 citation statements)

References 5 publications

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“…Extensive reviews have been previously performed, such as [17,18] regarding artificial reef (submerged breakwater) design, [19] concerning shoreline response, and [10,20] related to the ecological function. As a result, various studies have been conducted to assess and improve the hydrodynamic [21,22], morphological [8,23], and ecological [24,25] functions; some few works address two functions together, e.g., [26]. It is worth mentioning that the methodologies and data used to evaluate each function have not changed much in time, which evidences some homogeneity in the field.…”

Section: Ecological Functionmentioning

confidence: 99%

Assessment of the Performance of an Artificial Reef Made of Modular Elements through Small Scale Experiments

Cardenas-Rojas

Mendoza

Escudero

et al. 2021

JMSE

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Artificial reefs have proven to be an optimal and effective solution in stabilizing coastlines around the world. They are submerged structures that imitate the protection service provided by natural reefs accomplishing the functions of dissipating wave energy and protecting beach morphology, but also being an ecological solution. In this paper, 2D small-scale experiments were performed to analyze the hydrodynamic, morphological, and ecological behavior of an artificial reef constructed of modular elements. Two typical beach-dune profiles were constructed in a wave flume over which two locations of an artificial reef were tested. From these tests, transmission coefficients were obtained as well as the beach profile response to the presence of the artificial reef. These results are used to discuss about the hydrodynamic, morphological, and ecological performance of the artificial reef. The proposed artificial reef showed good morphological performance while its hydrodynamic function had limited success. In turn, the ecologic performance was theoretically addressed.

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Section: Ecological Functionmentioning

confidence: 99%

Assessment of the Performance of an Artificial Reef Made of Modular Elements through Small Scale Experiments

Cardenas-Rojas

Mendoza

Escudero

et al. 2021

JMSE

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“…Recent studies have shown that artificial coral reefs exhibit numerous advantages. In 2020, da Silva G. V. et al demonstrated that artificial reefs can effectively deflect longshore currents, alter sediment pathways, and thus induce long-term morphological changes [2]. Similarly, in 2020, Glarou M. et al found that artificial coral reefs can significantly increase fish species diversity, enhance coral cover and biomass, and facilitate interactions among marine organisms, all with positive effects [3].…”

Section: Introductionmentioning

confidence: 99%

“…In cases where individual fish reefs can be clearly identified, we use the vector formed by the identified points P4 and P2 to determine the orientation of the fish reef, calculating the angle, as shown in Equation (2). This approach takes into account variations in identification conditions to enhance the accuracy and stability of posture estimation.…”

mentioning

confidence: 99%

Estimation of Artificial Reef Pose Based on Deep Learning

Song,

Wu,

Zhang

et al. 2024

JMSE

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Artificial reefs are man-made structures submerged in the ocean, and the design of these structures plays a crucial role in determining their effectiveness. Precisely measuring the configuration of artificial reefs is vital for creating suitable habitats for marine organisms. This study presents a novel approach for automated detection of artificial reefs by recognizing their key features and key points. Two enhanced models, namely, YOLOv8n-PoseRFSA and YOLOv8n-PoseMSA, are introduced based on the YOLOv8n-Pose architecture. The YOLOv8n-PoseRFSA model exhibits a 2.3% increase in accuracy in pinpointing target key points compared to the baseline YOLOv8n-Pose model, showcasing notable enhancements in recall rate, mean average precision (mAP), and other evaluation metrics. In response to the demand for swift identification in mobile fishing scenarios, a YOLOv8n-PoseMSA model is proposed, leveraging MobileNetV3 to replace the backbone network structure. This model reduces the computational burden to 33% of the original model while preserving recognition accuracy and minimizing the accuracy drop. The methodology outlined in this research enables real-time monitoring of artificial reef deployments, allowing for the precise quantification of their structural characteristics, thereby significantly enhancing monitoring efficiency and convenience. By better assessing the layout of artificial reefs and their ecological impact, this approach offers valuable data support for the future planning and implementation of reef projects.

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“…Nevertheless, ARs were often based on structures that were not designed to meet the specific needs of the biota [9]. Therefore, several problems have been associated with AR deployments such as attraction and depletion of species stocks with socioeconomic conflicts [13,14], pollution, and toxicity [15], changes in species composition with the possible introduction and dispersion of exotic species [16], and changes in the hydrodynamics of the site [17].…”

Section: Introductionmentioning

confidence: 99%

Artificial Reefs around the World: A Review of the State of the Art and a Meta-Analysis of Its Effectiveness for the Restoration of Marine Ecosystems

Bracho-Villavicencio,

Matthews-Cascon,

Rossi

2023

Environments

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Over the past decade, there has been increasing interest in marine restoration, requiring a consideration of various approaches for optimal success. Artificial reefs (ARs) have been employed for marine restoration and fisheries management, but their effectiveness in restoring ecosystems lacks well-defined ecological criteria and empirical evidence. A systematic review of the literature on ARs articles between 1990–2020, a meta-analysis of their effectiveness based on the similarity of species composition with reference natural reefs (NRs), as well as bias risk analyses were carried out. Research on ARs primarily focused production of marine communities (n = 168). There are important information gaps regarding socioeconomic aspects; design, materials, and disposal in the selected habitats; legal, management, and planning aspects considering long-term monitoring. Regarding effectiveness, few articles (n = 13) allowed comparisons between ARs and NRs, highlighting the need to apply proper reference sites in AR implementations. Meta-analysis showed that ARs are not similar to reference NRs (p = 0.03, common effect and p = 0.05 random effect models). However, a high index of heterogeneity (88%) suggests that this relation may be influenced by factors other than the reef type. Thus, further analysis can disguise variables conditioning this AR–NR similarity as a measure of restoration for degraded marine ecosystems.

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Impacts of a Multi-Purpose Artificial Reef on Hydrodynamics, Waves and Long-Term Beach Morphology

Abstract: Impacts of a multipurpose artificial reef on hydrodynamics, waves and long-term beach morphology.

Cited by 7 publications

References 5 publications

Assessment of the Performance of an Artificial Reef Made of Modular Elements through Small Scale Experiments

Assessment of the Performance of an Artificial Reef Made of Modular Elements through Small Scale Experiments

Estimation of Artificial Reef Pose Based on Deep Learning

Artificial Reefs around the World: A Review of the State of the Art and a Meta-Analysis of Its Effectiveness for the Restoration of Marine Ecosystems

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