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A Mass Budget of Polybrominated Diphenyl Ethers in San Francisco Bay, CA. John J. Oram, Lester J. McKee, Christine E. Werme, Mike S. Connor, and Daniel R. Oros. Flame retardants in plastics and textiles Ubiquitous environmental pollutants Only recently included in environmental assessments
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A Mass Budget of Polybrominated Diphenyl Ethers in San Francisco Bay, CA John J. Oram, Lester J. McKee, Christine E. Werme, Mike S. Connor, and Daniel R. Oros
Flame retardants in plastics and textiles Ubiquitous environmental pollutants Only recently included in environmental assessments Appear to be exponentially increasing throughout the world Transport pathways not fully understood Thought to be similar to PCBS, OC Pesticides. This paper is first of its kind for PBDEs in urban rivers PBDE mass budget for urbanized estuary Introduction
Source: Kim Hooper et al. Cal EPA SF Bay is Global Hot Spot PBDE-47 in Human Tissues 35 U.S. (San Francisco, adipose) 30 Sweden (adipose) Germany (whole blood) 25 Canada (milk) Finland (milk) 20 PBDE-47, ng/g lipids Japan (milk) 15 Sweden (milk) 10 5 0 1981 1983 1985 1987 1990 1992 1994 1996 1998 2000
Bay water and sediment Inventory Unfiltered water at Mallard Island, Coyote Creek, Guadalupe River, and Zone 4 Line A Tributary loads Effluent and sludge from 3 tertiary plants Wastewater loads Pieces of the Mass Budget
Mallard Island BDE-47 (ng/L) SSC (mg/L)
Guadalupe River WY 2005
Comparison of Tributaries BDE 047 : BDE 209 Guadalupe = 0.2 Coyote = 0.2 Mallard = 1.2
Why more BDE 047 @ Mallard? Two hypothesis are emerging: Atmospheric deposition to Central Valley 47 more volatile than 209 = greater potential for long-range atmospheric transport & deposition Dissolved loads greater 47 more soluble than 209; Combined with long residence time of Delta (weeks to months) may make dissolved loads more important BDE 047 : BDE 209 Guadalupe = 0.2 Coyote = 0.2 Mallard = 1.2
* * * * Normalized to SSC
Mass Budget ModelHindcast – Estimation/Verification of Loads
Mass Budget ModelLoss Pathways Under Zero Loads Scenario Outflow and Degradation Are Most Important Loss Pathways
SF Bay is global hot spot Loads dominated by local tributaries (stormwater runoff) and wastewater Model provides useful framework for integrating / synthesizing information SF Bay at critical juncture in terms of recovery Conclusions