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February 14, 20260 citationsOpen Access

Nutrient distribution mapping model of the Bera River basin in Saleh Bay, West Nusa Tenggara

ARAmar Malikal RahmanSASyamsul B. AgusTATaslim Arifin

Key Points

  • The study aims to map nutrient distribution from watersheds and assess its impact on coastal water quality.
  • Utilized numerical simulations incorporating wind, tides, and bathymetry.
  • Assessed river discharge and in-situ concentrations of nutrients such as DO, NO₃, NH₄, and PO₄.
  • Validated hydrodynamic models against Copernicus Marine Service data.
  • Hydrodynamic model showed strong performance with RMSE values of 0.0316–0.0340 and correlation coefficients above 0.97.
  • NH₄ and PO₄ concentrations were generally low, with localized increases observed.
  • NO₃ concentrations ranged from <0.03 mg/L offshore to >0.055 mg/L near the Bera River mouth.
  • Dissolved oxygen concentrations dipped below 3 mg/L in certain coastal areas during low tide.

Abstract

Saleh Bay is a semi-enclosed marine ecosystem that is vulnerable to nutrient inputs from surrounding watersheds. This study aimed to map the spatial distribution of watershed-derived nutrients and assess their implications for coastal water quality using numerical modeling. Simulations incorporated wind, tides, bathymetry, river discharge, and in- situ concentrations of dissolved oxygen (DO), nitrate (NO₃), ammonia (NH₄), and phosphate (PO₄). Hydrodynamic model validation against the current Copernicus Marine Service data showed strong performance, with RMSE values of 0.0316–0.0340 and correlation coefficients exceeding 0.97. Nutrient simulations indicated generally low NH₄ (0.055 mg/L near the Bera River mouth. DO concentrations decreased to below 3 mg/L in the southern coastal areas during the low tide. Although direct nutrient validation is limited by field data availability, the validated hydrodynamic model provides a reliable basis for nutrient transport simulations. These results highlight the dominant role of tidal dynamics and watershed inputs, and demonstrate the usefulness of numerical modeling for sustainable coastal water quality management.

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Cite This Study

Rahman et al. (2026) studied this question.

synapsesocial.com/papers/699011712ccff479cfe581d5https://doi.org/10.1051/bioconf/202622006010/pdf
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