What does this research mean for the field?

Numerical modeling of coral reef hydrodynamics, which can be categorized into four physics-based groups and AI-based models, is essential for interpreting the physical, chemical, and biological processes necessary to address threats to reef ecosystems. Novelty: ClaimNovelty.SYNTHESIS. Consensus alignment: ConsensusAlignment.NEUTRAL.

What question did this study set out to answer?

To review state-of-the-art advances in numerical modelling of coral reef hydrodynamics, categorizing model frameworks, their coastal applications, and future perspectives.

September 3, 2026Engineering Applications of Computational Fluid MechanicsOpen Access

Advances in numerical modelling of coral reef hydrodynamics: approaches, applications, and future perspectives

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Authors

YYYu Yao SZS Zhou ZZZhihao Zhang

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Overview

Literature review classifies physics-based and AI hydrodynamic models for coral reefs, highlighting their critical utility in predicting coastal flooding and habitat degradation.

Key Points

To review state-of-the-art advances in numerical modelling of coral reef hydrodynamics, categorizing model frameworks, their coastal applications, and future perspectives.
Conducted an extensive literature review of hydrodynamic modelling techniques applied to coral reef environments.
Categorized methodologies into artificial-intelligence-based models and four distinct physics-based groups: coupled wave-current, Boussinesq-type, non-hydrostatic, and Navier-Stokes-equation-based models.
Evaluated the characteristic strengths, physical assumptions, and computational limitations across the four physics-based model groups and emerging AI techniques.
Demonstrated how hydrodynamic model groups address critical environmental stressors, including coastal flooding from storms and sea-level rise, sedimentation, and mass coral bleaching.

Cite This Study

Yao et al. (2026) studied this question.

synapsesocial.com/papers/6a993612636c6408cfa7edf5 https://doi.org/10.1080/19942060.2026.2722436

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September 3, 2026Engineering Applications of Computational Fluid MechanicsOpen Access

Advances in numerical modelling of coral reef hydrodynamics: approaches, applications, and future perspectives

View Full Paper

Ask AI

Bookmark

Authors

YYYu Yao SZS Zhou ZZZhihao Zhang

Discussion

Member takes

Overview

Literature review classifies physics-based and AI hydrodynamic models for coral reefs, highlighting their critical utility in predicting coastal flooding and habitat degradation.

Key Points

To review state-of-the-art advances in numerical modelling of coral reef hydrodynamics, categorizing model frameworks, their coastal applications, and future perspectives.
Conducted an extensive literature review of hydrodynamic modelling techniques applied to coral reef environments.
Categorized methodologies into artificial-intelligence-based models and four distinct physics-based groups: coupled wave-current, Boussinesq-type, non-hydrostatic, and Navier-Stokes-equation-based models.
Evaluated the characteristic strengths, physical assumptions, and computational limitations across the four physics-based model groups and emerging AI techniques.
Demonstrated how hydrodynamic model groups address critical environmental stressors, including coastal flooding from storms and sea-level rise, sedimentation, and mass coral bleaching.

Cite This Study

Yao et al. (2026) studied this question.

synapsesocial.com/papers/6a993612636c6408cfa7edf5 https://doi.org/10.1080/19942060.2026.2722436

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