Assess the learner's ability to create a graduate-level project that designs a multi-scale coupled hydrologic–biogeochemical model and an adaptive management plan to quantify and mitigate nutrient-driven hypoxia in a temperate estuary under future land-use and climate scenarios; include model structure and coupling approach, key equations/processes, calibration and validation strategy, scenario analysis, monitoring-network design, uncertainty quantification (sensitivity, Monte Carlo/Bayesian approaches, data assimilation), performance metrics, cost-effective management actions, decision triggers, and stakeholder engagement and communication strategy.