Friant Water Supply Protection Association vs. Del Puerto Water District et al

Superior Court of California, County of Stanislaus | October 31st, 2022

Friends of the Earth v. Coleman

United States Court of Appeals, Ninth Circuit | March 10th, 1975

From Sediment to Top Predators: Broad Exposure of Polyhalogenated Carbazoles in San Francisco Bay

American Chemical Society (ACS) | January 23rd, 2017

The present study provides the first comprehensive investigation of polyhalogenated carbazoles (PHCZs) contamination in an aquatic ecosystem. PHCZs have been found in soi

The present study provides the first comprehensive investigation of polyhalogenated carbazoles (PHCZs) contamination in an aquatic ecosystem. PHCZs have been found in soil and aquatic sediment from several different regions, but knowledge of their bioaccumulation and trophodynamics is extremely scarce. This work investigated a suite of 11 PHCZ congeners in San Francisco Bay (United States) sediment and organisms, including bivalves (n = 6 composites), sport fish (n = 12 composites), harbor seal blubber (n = 18), and bird eggs (n = 8 composites). The most detectable congeners included 3,6-dichlorocarbazole (36-CCZ), 3,6-dibromocarbazole (36-BCZ), 1,3,6-tribromocarbazole (136-BCZ), 1,3,6,8-tetrabromocarbazole (1368-BCZ), and 1,8-dibromo-3,6-dichlorocarbazole (18-B-36-CCZ). The median concentrations of ΣPHCZs were 9.3 ng/g dry weight in sediment and ranged from 33.7 to 164 ng/g lipid weight in various species. Biomagnification was observed from fish to harbor seal and was mainly driven by chlorinated carbazoles, particularly 36-CCZ. Congener compositions of PHCZs differed among species, suggesting that individual congeners may be subject to different bioaccumulation or metabolism in species occupying various trophic levels in the studied aquatic system. Toxic equivalent (TEQ) values of PHCZs were determined on the basis of their relative effect potencies (REP) compared to 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD). The median TEQ was 1.2 pg TEQ/g dry weight in sediment and 4.8–19.5 pg TEQ/g lipid weight in biological tissues. Our study demonstrated the broad exposure of PHCZs in San Francisco Bay and their characteristics of bioaccumulation and biomagnification along with dioxin-like effects. These findings raise the need for additional research to better elucidate their sources, environmental behavior, and fate in global environments.

From the Sierra to the Sea: The Ecological History of the San Francisco Bay-Delta Watershed

Bay Institute | July 15th, 2003

A vast watershed connects the mountain streams surrounding California’s Central Valley with San Francisco Bay and the ocean beyond. Over the course of the last two cent

A vast watershed connects the mountain streams surrounding California’s Central Valley with San Francisco Bay and the ocean beyond. Over the course of the last two centuries, much of the natural productivity, biodiversity and ecological integrity of the watershed has been destroyed by modifying the environment without fully understanding the long-term environmental consequences. Long the site of some of the nation’s most intensive conflicts over the use of land and water resources, this system is now emerging as the focus of one of the most ambitious ecological restoration efforts ever undertaken in the United States. This report was designed to provide a coherent and defensible ecological framework and information base for restoration. The need for such an historical, broad-scale perspective on system ecology stems from two fundamental principles of ecological restoration - the need to manage toward a natural template and to manage at ecosystem and landscape levels.

Geology, water resources and usable ground-water storage capacity of part of Solano County, California

U.S. Geological Survey (USGS) | July 1st, 1960

The area described is confined largely to the valley-floor and foothill lands of Solano County, which lies directly between Sacramento, the State capital, and San Franc

The area described is confined largely to the valley-floor and foothill lands of Solano County, which lies directly between Sacramento, the State capital, and San Francisco. The area is considered in two subareas: The Putah area, which extends from Putah Creek southward to the Montezuma Hills and from the foothills of the Coast Ranges eastward to the west edge of the Yolo Bypass; and the Suisun-Fairfield area, which is to the southwest in the notch in the Coast Ranges through which the waters of the Great Central Valley of California reach San Francisco Bay. There are no known hydrologic interconnections between the two subareas, through either surface streams or underground aquifers. The climate of the area is characterized by warm, rainless summers and by cool winters in which temperatures seldom drop much below freezing. The rainfall ranges from about 17 inches per year along the east side to perhaps 24 inches in the foothills to the west, and irrigation is necessary for all crops except dry-farmed grains, pastures, and some orchards.

Gill Net Selectivity for Fifteen Fish Species of the Upper San Francisco Estuary

University of California, Davis (UC Davis) | July 14th, 2022

Gill-net size selectivity for fifteen fish species occurring in the upper San Francisco Estuary was estimated from a data set compiled from multiple studies which togethe

Gill-net size selectivity for fifteen fish species occurring in the upper San Francisco Estuary was estimated from a data set compiled from multiple studies which together contained 7,096 individual fish observations from 882 gill net sets. The gill nets considered in this study closely resembled the American Fisheries Society’s recommended standardized experimental gill nets for sampling inland waters. Relationships between gill-net mesh sizes and the sizes for each fish species retained in them were estimated indirectly using generalized linear modeling and maximum likelihood. Selectivity curves are provided for each species to inform researchers about population characteristics of fishes sampled with similar gill nets.

Grand Challenges to Delta Science: Planning for Science in a Dynamic System (Draft)

Delta Stewardship Council (Delta Council) | May 23rd, 2024

The Delta Science Program is in the process of updating the Delta Science Plan for the third iteration. The Delta Science Plan is a collaboratively developed plan, stipul

The Delta Science Program is in the process of updating the Delta Science Plan for the third iteration. The Delta Science Plan is a collaboratively developed plan, stipulated in the Delta Plan, that aims to provide the vision, principles, and approaches for coordinating Delta science actors and communicating the outcomes of science activities and their management implications to decision-makers.

Green Infrastructure Planning for North Richmond Pump Station Watershed with Green Plan-IT

San Francisco Estuary Institute (SFEI) | November 1st, 2018

Contra Costa County and the City of Richmond, via the San Francisco Municipal Regional Stormwater Permit (MRP), are required to develop and implement a Green Infrastructu

Contra Costa County and the City of Richmond, via the San Francisco Municipal Regional Stormwater Permit (MRP), are required to develop and implement a Green Infrastructure (GI) Master Plan to reduce mercury and PCB loads in stormwater runoff from each jurisdiction. This project used GreenPlan-IT, a planning tool developed by the San Francisco Estuary Institute (SFEI) and regional partners, to identify feasible and cost-effective GI locations within the North Richmond Pump Station watershed (an unincorporated community of Contra Costa County and partial jurisdiction of the City of Richmond) to support the development of GI Plans for permit compliance. 

Green Infrastructure Planning for the City of Oakland with GreenPlan-IT

San Francisco Estuary Institute (SFEI) | July 2nd, 2018

The City of Oakland, via the San Francisco Municipal Regional Stormwater Permit (MRP), is required to develop and implement a Green Infrastructure (GI) Master Plan to red

The City of Oakland, via the San Francisco Municipal Regional Stormwater Permit (MRP), is required to develop and implement a Green Infrastructure (GI) Master Plan to reduce stormwater mercury and PCB loads. This project used GreenPlan-IT, a planning tool developed by the San Francisco Estuary Institute (SFEI) and regional partners, to identify feasible and cost-effective GI locations within the City boundary to support the development of GI Plans for permit compliance.  GreenPlan-IT comprises four distinct tools: (a) a GIS-based Site Locator Tool that combines the physical properties of different GI types with local and regional GIS information to identify and rank potential GI locations; (b) a Modeling Tool that is built on SWMM5 to establish baseline conditions and quantify anticipated runoff and pollutant load reductions from GI implementation; (c) an Optimization Tool that uses an evolutionary algorithm to identify the best combinations of GI types and numbers of sites within a study area for achieving flow and load reduction goals; and (d) a Tracker Tool that tracks GI implementation and reports the cumulative programmatic outcomes for regulatory compliance and other communication needs. 

Green Infrastructure Planning for the City of Richmond with GreenPlan-IT

San Francisco Estuary Institute (SFEI) | November 1st, 2018

The City of Richmond, via the San Francisco Municipal Regional Stormwater Permit (MRP), is required to develop and implement a Green Infrastructure (GI) Master Plan to re

The City of Richmond, via the San Francisco Municipal Regional Stormwater Permit (MRP), is required to develop and implement a Green Infrastructure (GI) Master Plan to reduce stormwater mercury and PCB loads. This project used GreenPlan-IT, a planning tool developed by the San Francisco Estuary Institute (SFEI) and regional partners, to identify feasible and cost-effective GI locations within the City boundary to support the development of GI Plans for permit compliance.  GreenPlan-IT comprises four distinct tools: (a) a GIS-based Site Locator Tool that combines the physical properties of different GI types with local and regional GIS information to identify and rank potential GI locations; (b) a Modeling Tool that is built on SWMM5 to establish baseline conditions and quantify anticipated runoff and pollutant load reductions from GI implementation; (c) an Optimization Tool that uses an evolutionary algorithm to identify the best combinations of GI types and numbers of sites within a study area for achieving flow and load reduction goals; and (d) a Tracker Tool that tracks GI implementation and reports the cumulative programmatic outcomes for regulatory compliance and other communication needs.