Model-based analysis of seasonal hypoxia: The Varna Lake–Bay case study

This study employs a coupled 3D hydrodynamic–biogeochemical modeling framework to investigate the spatiotemporal evolution of seasonal hypoxia in the semi-enclosed Beloslav Lake–Varna Lake–Varna Bay system, located along the western Black Sea coast. Using realistic meteorological forcing and four nutrient-loading scenarios, we quantify the roles of stratification, internal organic cycling, and external nutrient inputs in shaping oxygen dynamics. The model successfully reproduces seasonal stratification and captures a distinct surface–bottom decoupling in the distributions of nutrients and organic matter. Under baseline conditions, hypoxia is largely confined to Beloslav Lake in late summer. However, under elevated nutrient loads from both river discharge and a wastewater treatment plant, hypoxic and anoxic zones expand significantly, affecting up to 75% of the bottom area in Beloslav Lake and over 50% of Varna Bay. Vertical oxygen depletion also intensifies, with suboxic conditions extending 10–15 meters into the water column. Daily variability, driven by wind forcing and internal waves, leads to rapid spatial shifts in hypoxia, highlighting the importance of temporally resolved monitoring. The model underscores the cumulative and dynamic nature of bottom-water oxygen depletion in shallow, stratified systems and provides volumetric, spatial, and temporal metrics for ecological risk assessment. The results demonstrate the system’s vulnerability to even moderate increases in nutrient loading and offer actionable insights for regional management in line with the EU Water Framework Directive. The modeling framework also shows strong potential for assessing future climate or land-use change scenarios and for guiding mitigation strategies in complex estuarine and coastal environments. • A 3D coupled model simulates hypoxia in a stratified Black Sea coastal system. • Internal cycling alone causes seasonal hypoxia under moderate nutrient loads. • High loading expands hypoxia to ¿75% of Beloslav Lake and ¿50% of Varna Bay. • Hypoxia shows strong vertical expansion and short-term spatial variability. • Results support EU policy goals by identifying spatial–temporal risk thresholds.

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Publication Details

Journal
Ecological Modelling
Published
2026-02-21
DOI
https://doi.org/10.1016/j.ecolmodel.2026.111535
Primary Topic
Oceanographic and Atmospheric Processes
Type
article
Field-Weighted Citation Impact
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article

Model-based analysis of seasonal hypoxia: The Varna Lake–Bay case study

Sh. Kh. Yakubov, S. Ranneklev, B. Dzhurova, A. Berezina et al.
Ecological Modelling
Oceanographic and Atmospheric Processes
article

Model-based analysis of seasonal hypoxia: The Varna Lake–Bay case study

Sh. Kh. Yakubov, S. Ranneklev, B. Dzhurova, A. Berezina, E. Yakushev, M. Novikov, P. Ghaffari, O. Hristova, R. Vogt
article en

Abstract

This study employs a coupled 3D hydrodynamic–biogeochemical modeling framework to investigate the spatiotemporal evolution of seasonal hypoxia in the semi-enclosed Beloslav Lake–Varna Lake–Varna Bay system, located along the western Black Sea coast. Using realistic meteorological forcing and four nutrient-loading scenarios, we quantify the roles of stratification, internal organic cycling, and external nutrient inputs in shaping oxygen dynamics. The model successfully reproduces seasonal stratification and captures a distinct surface–bottom decoupling in the distributions of nutrients and organic matter. Under baseline conditions, hypoxia is largely confined to Beloslav Lake in late summer. However, under elevated nutrient loads from both river discharge and a wastewater treatment plant, hypoxic and anoxic zones expand significantly, affecting up to 75% of the bottom area in Beloslav Lake and over 50% of Varna Bay. Vertical oxygen depletion also intensifies, with suboxic conditions extending 10–15 meters into the water column. Daily variability, driven by wind forcing and internal waves, leads to rapid spatial shifts in hypoxia, highlighting the importance of temporally resolved monitoring. The model underscores the cumulative and dynamic nature of bottom-water oxygen depletion in shallow, stratified systems and provides volumetric, spatial, and temporal metrics for ecological risk assessment. The results demonstrate the system’s vulnerability to even moderate increases in nutrient loading and offer actionable insights for regional management in line with the EU Water Framework Directive. The modeling framework also shows strong potential for assessing future climate or land-use change scenarios and for guiding mitigation strategies in complex estuarine and coastal environments. • A 3D coupled model simulates hypoxia in a stratified Black Sea coastal system. • Internal cycling alone causes seasonal hypoxia under moderate nutrient loads. • High loading expands hypoxia to ¿75% of Beloslav Lake and ¿50% of Varna Bay. • Hypoxia shows strong vertical expansion and short-term spatial variability. • Results support EU policy goals by identifying spatial–temporal risk thresholds.

Ecological ModellingVol. 515
Lomonosov Moscow State University (RU), Norwegian Institute for Water Research (NO), Akvaplan-niva (NO), Moscow State University (TJ), Institute of Oceanology (BG)
Openalex Percentile: Top 54%
Oceanographic and Atmospheric Processes
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