Export 22 results:
Filters: Drupal User is Nina Buzby
2020
Franz, A.; Salop, P. 2020. 2019 Bay RMP Water Cruise Plan. SFEI Contribution No. 971. San Francisco Estuary Institute: Richmond, CA.
 (2.86 MB)
2019
Foley, M. 2019. 2020 RMP Multi-Year Plan. SFEI Contribution No. 959. San Francisco Estuary Institute: Richmond, CA.
 (3.04 MB)
Yee, D.; Wong, A.; Buzby, N. 2019. Characterization of Sediment Contamination in South Bay Margin Areas. SFEI Contribution No. 962. San Francisco Estuary Institute: Richmond, CA.

The Bay margins (i.e., mudflats and adjacent shallow areas of the Bay) are important habitats where there is high potential for wildlife to be exposed to contaminants. However, until recently, these areas had not been routinely sampled by the Regional Monitoring Program for Water Quality in San Francisco Bay (RMP) due to logistical considerations. In 2015, the RMP conducted a spatially-distributed characterization of surface sediment contamination and ancillary characteristics within the RMP-defined Central San Francisco Bay margin areas. This was repeated in 2017 within South Bay, which for this report refers to the area collectively encompassing Upper South Bay (usually just called the “South Bay” segment in the Bay RMP, “Upper” added here to distinguish from the combined area), Lower South Bay, and “Extreme” Lower South Bay (previously named “Southern Sloughs”) margin areas.

Ambient margins data in South Bay provide a context against which the severity of contamination at specific sites can be compared. The baseline data could also be useful in setting targets and tracking improvements in watershed loads and their nearfield receiving waters, or for appropriate assessment of re-use or disposal of dredged sediment. These spatially distributed data also provide improved estimates of mean concentrations and contaminant inventories in margins. Based on data from this study, contamination in the margin areas accounts for 35% of PCB mass in the upper 15 cm of surface sediments in South Bay, which is approximately proportional to the relative area of the margin (34% of the region). In contrast, margins only contain 30% of the mercury mass in South Bay, somewhat less than their proportional area.

 (6.05 MB)
Sun, J.; Davis, J. A.; Stewart, R.; Palace, V. 2019. Selenium in White Sturgeon from North San Francisco Bay: The 2015-2017 Sturgeon Derby Study. SFEI Contribution No. 897. San Francisco Estuary Institute: Richmond, CA.

This report presents the findings from a study evaluating selenium concentrations in white sturgeon (Acipenser transmontanus) tissues collected during the 2015-2017 Sturgeon Derby events in North San Francisco Bay. The goal of this study was to investigate the distribution of selenium among sturgeon tissues to inform the toxicological and regulatory interpretation of selenium measured in non-lethally collected tissues, including muscle plugs and fin rays. This technical report provides documentation of the study and presents its major findings.

 (1.17 MB)
 (2.31 MB)
 (1.48 MB)
2018
Salop, P.; Shimabuku, I.; Davis, J.; Franz, A. 2018. 2018 Bivalve Retrieval Cruise Report. SFEI Contribution No. 920. San Francisco Estuary Institute : Richmond, CA.
 (738.95 KB)
Davis, J. 2018. 2018 Regional Monitoring Program Update. SFEI Contribution No. 906. San Francisco Estuary Institute : Richmond, CA.
 (30.3 MB)
Shimabuku, I.; Trowbridge, P.; Salop, P.; Franz, A. 2018. 2018 RMP Bivalve Retrieval Cruise Plan. SFEI Contribution No. 893. San Francisco Estuary Institute : Richmond, CA.
 (466.59 KB)
Salop, P.; Franz, A. 2018. 2018 RMP Sediment Cruise Report. SFEI Contribution No. 907. San Francisco Estuary Institute : Richmond, CA.
 (1014.5 KB)
Franz, A.; Trowbridge, P.; Salop, P. 2018. 2018 RMP Sediment Sampling and Analysis Plan. SFEI Contribution No. 904. San Francisco Estuary Institute: Richmond, CA.
 (1.7 MB)
Gilbreath, A.; Pearce, S.; Shimabuku, I.; McKee, L. 2018. Bay Area Green Infrastructure Water Quality Synthesis. SFEI Contribution No. 922. San Francisco Estuary Institute : Richmond, CA.
 (2.31 MB) (1.95 MB)
 (3.23 MB)
 (4.47 MB)
Wu, J.; Kauhanen, P.; Hunt, J.; McKee, L. 2018. Green Infrastructure Planning for the City of Oakland with GreenPlan-IT. SFEI Contribution No. 884. San Francisco Estuary Institute : Richmond, CA.
 (1.98 MB)
Wu, J.; Kauhanen, P.; Hunt, J.; McKee, L. 2018. Green Infrastructure Planning for the City of Sunnyvale with GreenPlan-IT. SFEI Contribution No. 881. San Francisco Estuary Institute : Richmond, CA.
 (2.21 MB)
 (32.2 MB)
Jabusch, T.; Trowbridge, P. 2018. Microbial Water Quality at Minimally Human-Impacted Reference Beaches in Northern California. SFEI Contribution No. 858. San Francisco Estuary Institute : Richmond, CA.
 (3.87 MB)
Grieb, T.; Roy, S.; Rath, J.; Stewart, R.; Sun, J.; Davis, J. A. 2018. North Bay Selenium Monitoring Design. SFEI Contribution No. 921. San Francisco Estuary Institute : Richmond, CA.
 (2.08 MB)
Lin, D.; Sutton, R.; Sun, J.; Ross, J. 2018. Screening of Pharmaceuticals in San Francisco Bay Wastewater. SFEI Contribution No. 910. San Francisco Estuary Institute : Richmond, CA.
 (1.06 MB)
Lin, D.; Davis, J. 2018. Support for Sediment Bioaccumulation Evaluation: Toxicity Reference Values for the San Francisco Bay. SFEI Contribution No. 916. San Francisco Estuary Institute : Richmond, CA.
 (317.14 KB)
2015
Wu, J.; Kauhanen, P.; Mckee, L. 2015. GreenPlan-IT Toolkit User Guide. SFEI Contribution No. 958. San Francisco Estuary Institute: Richmond, CA.

Structurally, the GreenPlan-IT is comprised of three components: (a) a GIS-based Site Locator Tool to identify potential GI sites; (b) a Modeling Tool that quantifies anticipated watershed-scale runoff and pollutant load reduction from GI sites; and (c) an Optimization Tool that uses a cost-benefit analysis to identify the best combinations of GI types and number of sites within a watershed for achieving flow and/or load reduction goals. The three tool components were designed as standalone modules to provide flexibility and their interaction is either through data exchange, or serving as a subroutine to another tool. This user manual addresses each of the tools separately, though they are designed to complement each other.