A Review of Numerical Simulation Advances and The Role in Evaluating Erosion Control and Shoreline Management

Abstract

Numerical simulations are crucial in coastal
management, serving a key function similar to their role in other engineering disciplines. They deliver crucial insights into complex coastal dynamics, including erosion, which is affected by factors such as climate change, sea level rise, and human interventions. Using a bibliometric analysis approach, this study assesses the evolution and future trends of numerical simulation applications for coastal erosion and shoreline management actions. By exploring databases like Scopus and Google Scholar and visualizing key data with VOSviewer, the research identified publication trends, citation metrics, and emerging study areas. The analysis reveals a substantial increase in relevant research over the past decade, with a notable surge in activity post-2018. The identified key advancements include the integration of Digital Elevation Models (DEM), machine learning, and process-based modeling, all of which significantly enhance simulation accuracy and predictive capabilities. Further, a comparative analysis of models including Delft 3D, SWAN, XBeach, and MIKE underscores their unique strengths and highlights the importance of selecting appropriate models based on specific project conditions. The study concludes that multidisciplinary parameters integrated with technological
advancements are crucial for developing effective and
sustainable coastal management strategies, emphasizing the need for model selection tailored to address specific erosion and shoreline management project needs.