Answers are grounded in this paper and cite their sources.
Literature review classifies physics-based and AI hydrodynamic models for coral reefs, highlighting their critical utility in predicting coastal flooding and habitat degradation.
Coral reefs worldwide are increasingly facing numerous threats from both global and local stressors (e.g. mass coral bleaching, ocean acidification, coastal development, sedimentation, etc.). Low-lying reef-lined nations are also vulnerable to coastal flooding under sea-level rise and extreme storm events. A full understanding of coral reef hydrodynamics is a crucial step towards interpreting the wide range of physical, chemical, and biological processes within reefs related to the above issues. This article reviews the state-of-the-art advances in modelling approaches for coral reef hydrodynamics based on an extensive literature review, and classifies them into physics-based models of four groups (coupled wave-current models, Boussinesq-type models, non-hydrostatic models, and Navier-Stokes-equation-based models) and AI-based models. The applications of each model group in the reef environments are extensively reviewed. Their strengths, limitations and future development directions are also discussed.
No takes yet. Share an insight, caveat, or question.
Yao et al. (2026) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: