Articles
DOI DOI: 10.62441/actainnovations.v63i.1135

COMPUTATIONAL MODELING OF SEDIMENTATION ON THE KALIMANTAN COAST AS A MANGROVE HABITAT

Nataniel Dengen1, Ita Merni Patulak 2, Karmelia Sukma3, Muhammad Afif Sekedang 4
  1. 1 Universitas Mulawarman, Samarinda, Indonesia.
  2. 2 Universitas Politeknik Nusantara Samarinda, Indonesia.
  3. 3 Universitas Mulawarman, Samarinda, Indonesia.
  4. 4 Universitas Mulawarman, Samarinda, Indonesia.

Abstract

The coastline of East Kalimantan, extending approximately 1,185–3,500 km, serves as an important habitat for extensive mangrove forests and directly faces the Makassar Strait and the Java Sea. Coastal dynamics in this region are strongly influenced by hydrodynamic factors such as currents, waves, and tides, which significantly affect sediment transport and shoreline morphology. This study aims to model sediment transport patterns and deposition rates along the East Kalimantan coast using a computational approach. Field data on wave height, current velocity, tides, and sediment transport were collected from three representative coastal locations in East Kalimantan, namely Berau Regency, Bontang City, and North Penajam Paser Regency. The numerical model integrated hydrodynamic parameters with Stokes' Law and the Ferguson–Church equation to simulate sediment transport under different tidal conditions. The results showed that average current velocities ranged from 0.5 to 0.8 cm/s, while average wave heights varied between 0.3 and 1.0 m. Sediment transport modeling was conducted by integrating wave equations with the Stokes settling law and the Ferguson–Church equation through the ECOMSED application. The results showed that sediment deposition velocities ranged from 0.5 to 4.5 × 10⁻⁴ g/L/s, indicating moderate sediment accumulation across several coastal segments. The dominant sediment transport direction was toward the southern coastline and concentrated near river mouths, where deposition processes were more intensive. These findings highlight the importance of understanding coastal sediment dynamics for shoreline management, mangrove conservation, and mitigation of coastal degradation in East Kalimantan. Computational modeling provides an effective tool for predicting future sedimentation patterns and supporting sustainable coastal ecosystem management.

How to Cite

Dengen, N., Patulak , I. M., Sukma, K., & Sekedang , M. A. (2026). COMPUTATIONAL MODELING OF SEDIMENTATION ON THE KALIMANTAN COAST AS A MANGROVE HABITAT. ACTA INNOVATIONS, 63, 676–685. https://doi.org/10.62441/actainnovations.v63i.1135
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References

  1. 1. Bai, P., Chen, G., Wang, Y., Li, B., Ruan, Z., & Gao, Y. (2025). Effect of wave-current interaction on the hydrological environment in a shallow river estuary. Frontiers in Marine Science, Volume 12-2025.
  2. https://www.frontiersin.org/journals/marine-science/articles/10.3389/fmars.2025.1585330
  3. 2. Best, Ü. S. N., van der Wegen, M., Dijkstra, J., Reyns, J., van Prooijen, B. C., & Roelvink, D. (2022). Wave attenuation potential, sediment properties and mangrove growth dynamics data over Guyana’s intertidal mudflats: assessing the potential of mangrove restoration works. Earth System Science Data, 14(5), 2445–2462. https://doi.org/10.5194/essd-14-2445-2022
  4. 3. Chaudhuri, P., Chaudhuri, S., & Ghosh, R. (2019). The role of mangroves in coastal and estuarine sedimentary accretion in Southeast Asia. In Sedimentary processes-examples from Asia, Turkey and Nigeria. IntechOpen.
  5. https://doi.org/10.5772/intechopen.85591
  6. 4. Gic-Grusza, G., & Dudkowska, A. (2017). Numerical modeling of hydrodynamics and sediment transport—an integrated approach. Ocean Dynamics, 67(10), 1283–1292. https://doi.org/10.1007/s10236-017-1085-9
  7. 5. Hongwiset, S., Rodtassana, C., Poungparn, S., Umnouysin, S., & Suchewaboripont, V. (2022). Synergetic Roles of Mangrove Vegetation on Sediment Accretion in Coastal Mangrove Plantations in Central Thailand. In Forests (Vol. 13, Issue 10, p. 1739). https://doi.org/10.3390/f13101739
  8. 6. Huang, G., & Zhao, T. (2025). Mangrove-induced landward sediment transport owing to sediment flux asymmetry and bed shear stress. Estuarine, Coastal and Shelf Science, 326, 109527.
  9. https://doi.org/https://doi.org/10.1016/j.ecss.2025.109527
  10. 7. Kamal, S., Warnken, J., Bakhtiyari, M., & Lee, S. Y. (2017). Sediment distribution in shallow estuaries at fine scale: in situ evidence of the effects of three-dimensional structural complexity of mangrove pneumatophores. Hydrobiologia, 803(1), 121–132. https://doi.org/10.1007/s10750-017-3178-3
  11. 8. Le Minor, M., Bartzke, G., Zimmer, M., Gillis, L., Helfer, V., & Huhn, K. (2019). Numerical modelling of hydraulics and sediment dynamics around mangrove seedlings: Implications for mangrove establishment and reforestation. Estuarine, Coastal and Shelf Science, 217, 81–95. https://doi.org/https://doi.org/10.1016/j.ecss.2018.10.019
  12. 9. Lepesqueur, J., Hostache, R., Martínez-Carreras, N., Montargès-Pelletier, E., & Hissler, C. (2019). Sediment transport modelling in riverine environments: on the importance of grain-size distribution, sediment density, and suspended sediment concentrations at the upstream boundary. Hydrology and Earth System Sciences, 23(9), 3901–3915.
  13. https://doi.org/10.5194/hess-23-3901-2019
  14. 10. Li, H., Beck, T. M., Moritz, H. R., Groth, K., Puckette, T., Marsh, J., & Sánchez, A. (2018). Sediment tracer tracking and numerical modeling at Coos Bay Inlet, Oregon. Journal of Coastal Research, 35(1), 4–25.
  15. 11. Luo, J., Dai, Z., Liang, X., Zeng, W., Wang, R., Huang, H., & Nienhuis, J. (2025). Hydro-sediment dynamics in an abandoned estuarine pond under artificial mangrove restoration. Journal of Hydrology, 660, 133396.
  16. https://doi.org/https://doi.org/10.1016/j.jhydrol.2025.133396
  17. 12. Ouillon, S. (2018). Why and How Do We Study Sediment Transport? Focus on Coastal Zones and Ongoing Methods. In Water (Vol. 10, Issue 4, p. 390). https://doi.org/10.3390/w10040390
  18. 13. Pérez, A., Machado, W., Gutierrez, D., Smoak, J. M., Breithaupt, J. L., Saldarriaga, M. S., Sanders, L., Marotta, H., & Sanders, C. J. (2020). Carbon and nutrient accumulation in mangrove sediments affected by multiple environmental changes. Journal of Soils and Sediments, 20(5), 2504–2509. https://doi.org/10.1007/s11368-020-02612-4
  19. 14. Piercy, C. D., Charbonneau, B. R., Russ, E. R., & Swannack, T. M. (2024). Examining the commonalities and knowledge gaps in coastal zone vegetation simulation models. Earth Surface Processes and Landforms, 49(1), 24–48.
  20. https://doi.org/https://doi.org/10.1002/esp.5565
  21. 15. Saichenthur, N., Murali, K., & Sundar, V. (2022). Evaluation of Total Sediment Transport Model in the Simulation of Morphodynamics in Two Different Hydrodynamic Settings. Journal of Waterway, Port, Coastal, and Ocean Engineering, 148(6), 4022022. https://doi.org/10.1061/(ASCE)WW.1943-5460.0000727
  22. 16. Sarker, S., Masud-Ul-Alam, M., Hossain, M. S., Rahman Chowdhury, S., & Sharifuzzaman, S. M. (2021). A review of bioturbation and sediment organic geochemistry in mangroves. Geological Journal, 56(5), 2439–2450.
  23. https://doi.org/https://doi.org/10.1002/gj.3808
  24. 17. Srinivas, G., & Rajesh, K. (2025). Hydrodynamic modeling of coastal erosion and its effect on marine ecosystems. International Journal of Aquatic Research and Environmental Studies, 354–374. https://doi.org/10.70102/623v8b32
  25. 18. Tu, L. X., Thanh, V. Q., Reyns, J., Van, S. P., Anh, D. T., Dang, T. D., & Roelvink, D. (2019). Sediment transport and morphodynamical modeling on the estuaries and coastal zone of the Vietnamese Mekong Delta. Continental Shelf Research, 186, 64–76. https://doi.org/https://doi.org/10.1016/j.csr.2019.07.015
  26. 19. Williams, J. J., & Esteves, L. S. (2017). Guidance on Setup, Calibration, and Validation of Hydrodynamic, Wave, and Sediment Models for Shelf Seas and Estuaries. Advances in Civil Engineering, 2017(1), 5251902.
  27. https://doi.org/https://doi.org/10.1155/2017/5251902
  28. 20. Wu, Y., Zhao, E., Li, X., & Zhang, S. (2025). Application of wave – current coupled sediment transport models with variable grain properties for coastal morphodynamics : a case study of the Changhua River , Hainan. Ocean Science, 21, 473–495. https://doi.org/10.5194/os-21-473-2025
  29. 21. Xie, D., Schwarz, C., Kleinhans, M. G., Zhou, Z., & van Maanen, B. (2022). Implications of Coastal Conditions and Sea-Level Rise on Mangrove Vulnerability: A Bio-Morphodynamic Modeling Study. Journal of Geophysical Research: Earth Surface, 127(3), e2021JF006301. https://doi.org/https://doi.org/10.1029/2021JF006301