Spatiotemporal variability of Total Suspended Sediment (TSS) in the Banda Aceh coastal zone, Indonesia, and its environmental implications

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Ulung Jantama Wisha, Pingkan Mayestika Afgatiani, Anang Dwi Purwanto, Koko Ondara, Yusuf Jati Wijaya, Lilik Maslukah, Trika Agnestasia Tarigan, Muhammad Zainuddin Lubis, Aris Ismanto

2026 Anthropocene Coasts Vol. 9 Issue 1 Article Cited by 0 SDG 17SDG 14 Quartile

Abstract

Understanding the variability of Total Suspended Sediment (TSS) is essential for managing sediment-related pollution in estuarine and coastal environments. This study aimed to analyze the spatial and temporal variability of TSS along the Banda Aceh coast, Indonesia, and its extended impacts on the surrounding environment using an integrated approach that combines satellite remote sensing, hydrodynamic modeling, and multivariate statistical analysis. Satellite-derived TSS concentrations were estimated from Sentinel 2A imagery using empirical algorithms, with the green/blue band ratio (B3/B2) performing best (R2 = 0.47, RMSE = 21.73 mg/L) against in-situ observations. Hydrodynamic simulations conducted using MIKE 21 revealed marked spatial and temporal variability in TSS distribution driven by tidal conditions and estuarine morphology. During spring tides, stronger currents (up to 0.45 m/s) facilitated widespread TSS dispersal offshore, with concentrations exceeding 250 mg/L in Ulee Lheue and Alue Naga Estuary. In contrast, neap tides resulted in slower current speeds (< 0.20 m/s) and higher TSS retention near the river mouths. The Krueng Aceh Estuary exhibited more stable and lower TSS concentrations (< 181 mg/L) because of its open configuration and reduced sediment trapping. Principal Component Analysis showed that the TSS was positively correlated with turbidity and chlorophyll-a, underscoring its role in controlling water clarity and nutrient dynamics. These findings demonstrate the dominant influence of tidal dynamics, anthropogenic contributions, and riverine discharge on the coastal water quality. The combined remote sensing–modeling framework offers a scalable approach for sediment monitoring and management in other vulnerable, urbanizing coastal systems. © The Author(s) 2026.

Affiliations

Department of Global Environmental Studies, Graduate School of Engineering and Sciences, University of the Ryukyus, Nishihara, Japan; Research Center for Oceanology, National Research and Innovation Agency (BRIN), South Tangerang, Indonesia; Research Center for Geoinformatics, National Research and Innovation Agency (BRIN), Cibinong, Indonesia; Research Center for Conservation of Marine and Inland Water Resources, National Research and Innovation Agency (BRIN), Cibinong, Indonesia; Department of Oceanography, Faculty of Fisheries and Marine Science, Universitas Diponegoro, Semarang, Indonesia; Department of Ocean Engineering, Institut Teknologi Sumatera, Lampung, Indonesia; Water Engineering and Management, School of Engineering and Technology, Asian Institute of Technology, Pathum Thani, Thailand; College of Oceanography and Ecological Science, Shanghai Ocean University, Shanghai, China; Geomatics Technology Study Program, Politeknik Negeri Batam, Batam Center, Indonesia; Center for Integrated Coastal Zone Management (ICZM Center), Universitas Diponegoro, Semarang, Indonesia

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