Pion, L.M. and Bernardino, J.C.M., 2024. Integrated methodology for estimating maintenance dredging intervals at port berths: A case study in a Brazilian estuarine environment. In: Phillips, M.R.; Al-Naemi, S., and Duarte, C.M. (eds.), Coastlines under Global Change: Proceedings from the International Coastal Symposium (ICS) 2024 (Doha, Qatar). Journal of Coastal Research, Special Issue No. 113, pp. 382-386. Charlotte (North Carolina), ISSN 0749-0208.

Maintenance dredging is a critical aspect of ensuring navigational safety and accessibility in port terminals worldwide. This paper addresses the urgent need for optimized maintenance dredging procedures by proposing an integrated method that combines bathymetric survey analysis and sediment transport modeling. Focusing on two berth areas within a port terminal in northeastern Brazil, referred as Areas I and II, the method aims to predict intervals between maintenance dredging campaigns. Key steps of the proposed method include processing and analyzing bathymetric data to calculate volumes above the dredging level and historical critical bed levels. A correlation curve is established between these volumes and critical levels, facilitating the estimation of bed evolution rates. Computational modeling using the Delft3D platform allows for scenario simulations, aiding in predicting future critical bed levels. Results indicate successful calibration and verification of the hydrodynamic model, with good agreement between modeled and field-measured data. Correlation curves demonstrate adequate agreement between volumes above the dredging level and critical bed levels. The results indicate the need for maintenance dredging in Area I approximately every 26 days and in Area II every 16 days on average. These intervals are consistent with historical practices over time but are shorter than ideal for terminal operation. The findings underscore the importance of the proposed method in accurately predicting maintenance dredging intervals and optimizing operational decision-making in port terminals. Future research should focus on refining correlation methodologies and overcoming practical challenges to further enhance maintenance dredging optimization in port terminals. This study contributes valuable insights into operational decision-making and underscores the importance of continued research efforts in this field.