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Synthesis of Current Science: Influence of Nutrient Forms and Ratios on Phytoplankton Production and Community Composition. SFEI Contribution No. 862. San Francisco Estuary Institute : Richmond, CA.2016.
Summary and Evaluation of Delta Subregions for Nutrient Monitoring and Assessment. SFEI Contribution No. 789.2016.
San Francisco Bay Nutrient Management Strategy Observation Program. SFEI Contribution No. 877. San Francisco Estuary Institute: Richmond, CA.2016.
San Francisco Bay Interim Model Validation Report. SFEI Contribution No. 850. San Francisco Estuary Institute: Richmond, CA.2017.
Recommendations for a Modeling Framework to Answer Nutrient Management Questions in the Sacramento-San Joaquin Delta. Central Valley Regional Water Quality Control Board: Rancho Cordova, CA.2016.
Pilot Study Examining Spatial Differences in Water Quality Between Shoal and Channel Habitats. SFEI Contribution No. 948. San Francisco Estuary Institute: Richmond, CA.2019.
Nutrient Management Strategy Science Program. SFEI Contribution No. 879. San Francisco Estuary Institute: Richmond, CA.2017.
Nutrient Management Strategy Science Plan Report. SFEI Contribution No. 878. San Francisco Estuary Institute: Richmond, CA.2016.
Hydrodynamic Model Development Report: Sacramento-San Joaquin River Delta and Suisun Bay (Water Year 2016). SFEI Contribution No. 964. San Francisco Estuary Institute: Richmond, CA.2019.
Hydrodynamic and Water Quality Model Calibration and Application in San Francisco Bay. SFEI Contribution No. 913. San Francisco Estuary Institute : Richmond, CA.2018.
Dissolved Oxygen in South San Francisco Bay: Variability, Important Processes, and Implications for Understanding Fish Habitat. SFEI Contribution No. 911. San Francisco Estuary Institute : Richmond, CA.2018.
Characterizing and quantifying nutrient sources, sinks and transformations in the Delta: synthesis, modeling, and recommendations for monitoring. SFEI Contribution No. 785. San Francisco Estuary Institute: Richmond, CA.2015.
Journal Article (Peer-Reviewed)
Optimal Selection and Placement of Green Infrastructure in Urban Watersheds for PCB Control. Journal of Sustainable Water in the Built Environment 5 (2) . SFEI Contribution No. 729.2019.
San Francisco Bay and its watersheds are polluted by legacy polychlorinated biphenyls (PCBs), resulting in the establishment of a total maximum daily load (TDML) that requires a 90% PCB load reduction from municipal stormwater. Green infrastructure (GI) is a multibenefit solution for stormwater management, potentially addressing the TMDL objectives, but planning and implementing GI cost-effectively to achieve management goals remains a challenge and requires an integrated watershed approach. This study used the nondominated sorting genetic algorithm (NSGA-II) coupled with the Stormwater Management Model (SWMM) to find near-optimal combinations of GIs that maximize PCB load reduction and minimize total relative cost at a watershed scale. The selection and placement of three locally favored GI types (bioretention, infiltration trench, and permeable pavement) were analyzed based on their cost and effectiveness. The results show that between optimal solutions and nonoptimal solutions, the effectiveness in load reduction could vary as much as 30% and the difference in total relative cost could be well over $100 million. Sensitivity analysis of both GI costs and sizing criteria suggest that the assumptions made regarding these parameters greatly influenced the optimal solutions.
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