Hydrodynamic modelling in marginal and coastal seas — The case of the Adriatic Sea as a permanent laboratory for numerical approach

Umgiesser, Georg; Ferrarin, Christian; Bajo, Marco; Bellafiore, Debora; Cucco, Andrea; Pascalis, Francesca De; Ghezzo, Michol; McKiver, William J.; Arpaia, Luca

doi:10.1016/j.ocemod.2022.102123

Cited by 12 publications

(4 citation statements)

References 217 publications

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“…During this period, the Koh Mook seagrass area was a sink for 7.59% of the released virtual larvae, derived from Stations 8,9,10,11,12,13,14,15,and 18. Only 4.57% of the virtual larvae which originated from Stations 12,13,14,15,16,17,and 18 reached the seagrass in Ao Thung Chin. The released virtual larvae of 2.72% derived from Stations 1, 2, 3, 4, 5, and 6 reached the seagrass bed at Ban Pak Klong-Koh Phi.…”

Section: Seagrass Bedmentioning

confidence: 99%

“…Approximately 4452 larvae (5.57%) of the total number of 80,000 released virtual larvae successfully reached the Koh Mook seagrass area; they were derived from the same stations as observed during an inter-monsoon period, except for Station 18. In Ao Thung Chin, 5.49% of the released virtual larvae from Stations 12,14,15,16,17,and 18 were transported to this seagrass area. Only 3.64% of the released virtual larvae from Stations 1, 2, 3, 4, 5, and 6 (Region a) arrived at the Pak Klong Kalasae seagrass meadow.…”

Section: Larval Settlement Patterns In Seagrass Meadowsmentioning

confidence: 99%

“…A numerical model, including a particle tracking model, is an effective tool to predict patterns of larval transport and the dispersal and settlements of marine invertebrates and fishes [16,17]. In general, there are two main types of biophysical modelling, including active and passive larval modelling.…”

Section: Introductionmentioning

confidence: 99%

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Larval Dispersal Modelling of the Blue Swimming Crab Portunus pelagicus (Linnaeus, 1758) from the Crab Banks along the Coast of Trang Province, Southern Thailand

Onsri,

Sivaipram,

Boonsanit

et al. 2024

Water

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In Thailand, the populations of a commercially important crab Portunus pelagicus (Linnaeus, 1758) have been decreasing due to overfishing, raising concerns about the conservation efforts of this crab species. The Crab Bank Project has recently been established to restore crab populations by releasing crab larvae from each crab bank station. However, the fate of crab larvae after the release is poorly understood. Here, we assessed the dispersal and settlement patterns of the larvae P. pelagicus released from crab banks along the coast of Trang Province, Southern Thailand. The Lagrangian particle tracking model was employed to simulate the larval dispersal and settlement patterns after release from the crab banks during the inter-monsoon, southwest monsoon, and northeast monsoon. Our simulation revealed that virtual larvae were predominantly retained within inshore areas after the release for 14 days, regulated by tidal-driven currents, wind-induced currents, and local coastal topography. Monsoon periods affected the larval dispersal, with some larvae being transported into estuaries due to the SW monsoonal effects. After the 14-day release period, our modelled simulations suggested that the crab larvae arrived at numerous seagrass meadows along the coast, indicating potential settlement and growth. This result highlights the connectivity of sources and sinks for crab larvae after release from crab banks. Moreover, significant implications for conservation efforts and the fishery management of P. pelagicus were also discussed based on our modelled simulations.

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Section: Seagrass Bedmentioning

confidence: 99%

Section: Larval Settlement Patterns In Seagrass Meadowsmentioning

confidence: 99%

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Larval Dispersal Modelling of the Blue Swimming Crab Portunus pelagicus (Linnaeus, 1758) from the Crab Banks along the Coast of Trang Province, Southern Thailand

Onsri,

Sivaipram,

Boonsanit

et al. 2024

Water

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“…The simulation of such extreme sea conditions at the coast requires numerical models with sufficiently refined horizontal grids to represent complex morphological and bathymetric features, as well as several anthropogenic constructions (e.g., piers, harbours, breakwaters, jetties) present along the coast. From this point of view, using unstructured grids allows high grid resolution simulations in coastal areas, thus resolving processes at different spatial scales and maintaining computational efficiency compared to regular grids (Umgiesser et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Assessing the coastal hazard of medicane Ianos through ensemble modelling

Ferrarin

Pantillon

Davolio

et al. 2023

Preprint

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Abstract. On 18 September 2020, medicane Ianos hit the western coast of Greece resulting in flooding and severe damage at several coastal locations. In this work, we aim at evaluating its impact on sea conditions and the associated uncertainty through the use of an ensemble of numerical simulations. We applied a coupled wave-current model to an unstructured mesh representing the whole Mediterranean Sea, with a grid resolution increasing in the Ionian Sea along the cyclone path and the landfall area. To investigate the uncertainty of modelling sea levels and waves for such an intense event, we performed a multimodel ensemble of ocean simulations using several coarse (10 km) and high-resolution (2 km) meteorological forcings from different mesoscale models. The performance of the ocean and wave models was evaluated against observations retrieved from fixed monitoring stations and satellites. All model runs emphasized the occurrence of severe sea conditions along the cyclone path and at the coast. Due to the rugged and complex coastline, extreme sea levels are localised at specific coastal sites. However, numerical results show a large spread of the simulated sea conditions for both the sea level and waves highlighting the large uncertainty in simulating this kind of extreme event. The multi-model / multi-physics approach allows us to assess how the uncertainty propagates from meteorological to ocean variables and the subsequent coastal impact. The ensemble mean and standard deviation were combined to prove the hazard scenarios of the potential impact of such an extreme event to be used in a flood risk management plan.

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Anthropogenic contribution, transport, and accumulation of Polycyclic Aromatic Hydrocarbons in sediments of the continental shelf and slope in the Mediterranean Sea

Frapiccini,

De Marco,

Grilli

et al. 2024

Chemosphere

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Hydrodynamic modelling in marginal and coastal seas — The case of the Adriatic Sea as a permanent laboratory for numerical approach

Cited by 12 publications

References 217 publications

Larval Dispersal Modelling of the Blue Swimming Crab Portunus pelagicus (Linnaeus, 1758) from the Crab Banks along the Coast of Trang Province, Southern Thailand

Larval Dispersal Modelling of the Blue Swimming Crab Portunus pelagicus (Linnaeus, 1758) from the Crab Banks along the Coast of Trang Province, Southern Thailand

Assessing the coastal hazard of medicane Ianos through ensemble modelling

Anthropogenic contribution, transport, and accumulation of Polycyclic Aromatic Hydrocarbons in sediments of the continental shelf and slope in the Mediterranean Sea

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