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Filters: First Letter Of Title is S and Author is Don Yee  [Clear All Filters]
Journal Article (Peer-Reviewed)
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Report
Hunt, J.; Trowbridge, P.; Yee, D.; Franz, A.; Davis, J. 2016. Sampling and Analysis Plan for 2016 RMP Status and Trends Bird Egg Monitoring. SFEI Contribution No. 827. San Francisco Estuary Institute: Richmond, CA. p 31 pp.
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Yee, D.; Ross, J. 2017. San Francisco Bay California Toxics Rule Priority Pollutant Ambient Water Monitoring Report. SFEI Contribution No. 814. San Francisco Estuary Institute: Richmond.
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Zi, T.; Mckee, L.; Yee, D.; Foley, M. 2021. San Francisco Bay Regional Watershed Modeling Progress Report, Phase 1. SFEI Contribution No. 1038. San Francisco Estuary Institute: Richmond, CA.
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Davis, J.; Yee, D.; Fairey, R.; Sigala, M. 2017. San Leandro Bay PCB Study Data Report. SFEI Contribution No. 855. San Francisco Estuary Institute: Richmond, CA.
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Oram, J. J.; McKee, L. J. .; Davis, J. A.; Sedlak, M.; Yee, D. 2008. Sources, Pathways and Loadings Workgroup: Five-Year Workplan (2008-12). SFEI Contribution No. 567. San Francisco Estuary Institute: Oakland.
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Jones, C.; Davis, J.; Yee, D. 2022. Strategy for In-Bay Fate Modeling to Support Contaminant and Sediment Management in San Francisco Bay. SFEI Contribution No. 1090. San Francisco Estuary Institute: Richmond, California.

This report presents a strategy and multi-year workplan for modeling polychlorinated biphenyls (PCBs), contaminants of emerging concern (CECs), and sediment in San Francisco Bay (the Bay). Robust in-Bay fate modeling is needed to address priority management questions that have been identified for these constituents.

The strategy for in-Bay modeling presented in this report is a major element of a broader, integrated strategy that is being developed across RMP Workgroups for modeling contaminants flowing from the Bay watersheds and other pathways into the Bay. The broader project is expected to yield an integrated strategy in 2022, followed by implementation of a pilot effort in 2023. Coordination of the in-Bay modeling effort with the broader integrated strategy and other modeling work (e.g., nutrient modeling under the Nutrient Management Strategy) will be critical to optimizing use of the funds allocated to modeling.

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