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Yee, D.; Wong, A.; Weaver, M. 2021. 2021 Quality Assurance Program Plan for the Regional Monitoring Program for Water Quality in San Francisco Bay. SFEI Contribution No. 1048. San Francisco Estuary Institute: Richmond, California.
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Yee, D.; Franz, A. 2005. Castro Valley Atmospheric Deposition Study. SFEI Contribution No. 430. Brake Pad Partnership.
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Yee, D. 2008. Mercury and Methylmercury in North Bay Tidal Marshes. RMP Mercury Coordination Meeting: Oakland,Ca.
Yee, D. 2015. 2014 RMP Bivalve Samples Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.
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Yee, D. 2017. 2016 RMP Bivalve Samples Quality Assurance Report. San Francisco Estuary Institute : Richmond, CA.
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Yee, D. 2017. 2016 RMP Bird Egg Samples Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.
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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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Yee, D. 2015. 2013 RMP Water Samples Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.
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Yee, D. 2015. 2014 RMP Sediment Samples Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.
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Yee, D. 2019. 2018 RMP Tissue Data Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.

In 2018, bivalve tissue samples were collected from six Bay/Delta stations and a reference site for the Regional Monitoring Program for Water Quality in San Francisco Bay. Bird egg tissue samples were collected from two sites for cormorants, and four sites for terns. General descriptions of the sample collection methods are provided in the RMP Quality Assurance Program Plan, cruise plans, cruise reports, and sampling reports. These documents are available from the SFEI website (http://www.sfei.org/content/status-and-trends-monitoring-documents)

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Yee, D. 2019. 2018 RMP Sediment Data Quality Assurance Report. San Francisco Estuary Institute: Richmond, CA.

In 2018, sediment samples were collected from 27 stations (7 historical sites, with the rest from the GRTS random draw panels) for the Regional Monitoring Program for Water Quality in San Francisco Bay. The details of the cruise and sample collection methods are described in the RMP Quality Assurance Program Plan, cruise plans, cruise reports, and field sampling reports. These documents are available from the SFEI website (http://www.sfei.org/content/status-and-trends-monitoring-documents).

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Yee, D.; Wong, A.; Hetzel, F. 2018. Current Knowledge and Data Needs for Dioxins in San Francisco Bay. SFEI Contribution No. 926. San Francisco Estuary Institute : Richmond, CA.
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Zhu, X.; Munno, K.; Grbic, J.; Werbowski, L. M.; Bikker, J.; Ho, A.; Guo, E.; Sedlak, M.; Sutton, R.; Box, C.; et al. 2021. Holistic Assessment of Microplastics and Other Anthropogenic Microdebris in an Urban Bay Sheds Light on Their Sources and Fate. Environmental Science and Technology Water . SFEI Contribution No. 1060.

The physical and chemical properties of microplastics and their environmental distributions may provide clues about their sources and inform their fate. We demonstrate the value of extensive monitoring of microplastics in an urban bay, San Francisco Bay. Surface water, fish, sediment, stormwater runoff, and treated wastewater were sampled across the bay and adjacent national marine sanctuaries (NMS). We found microplastics and other anthropogenic microdebris (“microdebris”) in all sample types. Concentrations were higher in the bay than in the NMS, and within the bay, concentrations were higher during the wet season than during the dry season. The fate of microdebris varied depending on their morphologies and densities: fibers were dominant in fish, black rubbery fragments were common in sediment, as were fibers, while buoyant fragments and fibers were widely observed in surface waters. Notably, we found large amounts of black rubbery fragments, an emerging contaminant, in stormwater. Moreover, stormwater was a significant pathway of microdebris, with concentrations roughly 140 times greater than those found in wastewater, which was dominated by fibers. Overall, we demonstrate the value of multimatrix regional monitoring to evaluate the sources and fate of microplastics, which can inform effective mitigation for other urban bays around the world.

 

Zi, T. 2023. Stevens Creek Reservoir – Forecast Informed Reservoir Operation (FIRO) Phase One Report. Peterson, D., Stark, K., Eds.. SFEI Contribution No. 1120. Prepared for SCV Water District.
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Zi, T.; Whipple, A.; Kauhanen, P.; Spotswood, E.; Grenier, L.; Grossinger, R.; Askevold, R. 2021. Trees and Hydrology in Urban Landscapes. SFEI Contribution No. 1034. San Francisco Estuary Institute: Richmond, CA.

Effective implementation of urban greening strategies is needed to address legacies of landscape change and environmental degradation, ongoing development pressures, and the urgency of the climate crisis. With limited space and resources, these challenges will not be met through single-issue or individual-sector management and planning. Increasingly, local governments, regulatory agencies, and other urban planning organizations in the San Francisco Bay Area are expanding upon the holistic, portfolio-based, and multi-benefit approaches.

This effort, presented in the Trees and Hydrology in Urban Landscapes report, seeks to build links between stormwater management and urban ecological improvements by evaluating how complementary urban greening activities, including green stormwater infrastructure (GSI) and urban tree canopy, can be integrated and improved to reduce runoff and contaminant loads in stormwater systems. This work expands the capacity for evaluating engineered GSI and non-engineered urban greening within a modeling and analysis framework, with a primary focus on evaluating the hydrologic benefit of urban trees. Insights can inform stormwater management policy and planning. 

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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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Zi, T.; Kauhanen, P.; Whipple, A.; Mckee, L. 2021. Green Stormwater Infrastructure Planning-level Analysis for Livermore-Amador Valley. SFEI Contribution No. 1063. San Francisco Estuary Institute: Richmond, Calif.

Report CoverThis effort is intended to provide planning-level regional guidance for placement of green stormwater infrastructure (GSI) in Livermore-Amador Valley. This work identifies potential GSI locations and quantifies contaminant load and stormwater runoff volume reduction benefits through the application of GreenPlan-IT, a planning tool developed by the San Francisco Estuary Institute and regional partners. Ultimately, the urban greening analysis presented in this report is intended to help enhance stream and watershed resilience, reduce peak flows, and improve water quality.

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Zi, T.; Braud, A.; McKee, L. J.; Foley, M. 2022. San Francisco Bay Watershed Dynamic Model (WDM) Progress Report, Phase 2. SFEI Contribution No. 1091. San Francisco Estuary Institute: Richmond, California.

The San Francisco Bay total maximum daily loads (TMDLs) call for a 50% reduction in mercury (Hg) loads by 2028 and a 90% reduction in PCBs loads by 2030. In support of these TMDLs, the Municipal Regional Permit for Stormwater (MRP) (SFBRWQCB, 2009, SFBRWQCB, 2015, SFBRWQCB, 2022) called for the implementation of control measures to reduce PCBs and Hg loads from urbanized tributaries. In addition, the MRP has identified additional information needs associated with improving understanding of sources, pathways, loads, trends, and management opportunities of pollutants of concern (POCs). In response to the MRP requirements and information needs, the Small Tributary Loading Strategy (STLS) was developed, which outlined a set of management questions (MQs) that have been used as the
guiding principles for the region’s stormwater-related activities. In recognition of the need to evaluate changes in loads or concentrations of POCs from small tributaries on a decadal scale, the updated 2018 STLS Trends Strategy (Wu et al., 2018) prioritized the development of a new dynamic regional watershed model for POCs (PCBs and Hg focused) loads and trends. This regional modeling effort will provide updated estimates of POC concentrations and loads for all local watersheds that drain to the Bay. The Watershed Dynamic Model (WDM) will also provide
a mechanism for evaluating the impact of management actions on future trends of POC loads or concentrations.

As a multi-use modeling platform, the WDM is being developed to include other pollutants, such as contaminants of emerging concern (CECs), sediment, and nutrients and to be coupled with a Bay fate model to form an integrated watershed-Bay modeling framework to address Regional Monitoring Program (RMP) management questions. As this model is developed, flexibility to link with other models will be an important consideration.

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