1. Methyl Mercury Concentrations and Loads in the Delta http://mercury
Mark Stephenson, Chris Foe, Gary Gill, and Wes Heim
Central Valley Regional Water Quality Control Board
and Department of Fish and Game

2. Outline Background Study Design Methyl Mercury Concentrations
Sources
Biomagnification
Sinks
Methyl Mercury Loads
Losses
Seasonal Box Models
Conclusions

3. Sampling Locations

4. Methyl Mercury Concentrations in primary Delta water sources.

5. Methyl mercury concentrations in juvenile silverside fish and in water in the San Joaquin River at Vernalis. The silverside data are from Slotton et al. (2008)

6. Predicted and observed methyl mercury concentrations at Mallard Island

7. Outline Background Study Design Methyl Mercury Concentrations
Sources
Biomagnification
Sinks
Methyl Mercury Loads
Losses
Seasonal Box Models
Conclusions

8. Ratio of the sum of monthly methyl mercury export loads divided by the sum of incoming loads as a function of tributary inflow. The five squares represent dates when the Yolo Bypass and/or San Joaquin River were flooding. These five data were not included in the regression.

9. (A) Methyl mercury mass balance for the Delta in January 2005.
(B) Same mass balance for August Note changes in the relative magnitude of the various processes B

10. Conclusions
Methyl mercury concentrations were measured in all major water inputs and exports to Delta for 45 months.
Tributary inputs were the major source of methyl mercury.
Positive correlations between methyl mercury concentrations in water and in juvenile silverside fish during an upstream flooding event in the San Joaquin River shows small fish can capture pulses of methyl mercury. These results are similar to those showing correlations between large fish and methyl mercury concentrations

11. Conclusions
The Delta is a net methyl mercury sink. The loss of methyl mercury is an inverse function of net Delta inflow.
Box models demonstrate that Central Valley rivers are the major sources of methyl mercury to the Delta. Particle settling and exports to southern California and to San Francisco Bay are the major sinks in winter while photo degradation and exports to southern California are major sinks in summer.

12. Conclusions
Given input MMHg concentrations we can predict export concentrations
With the particle tracking model we can predict flow patterns between inputs and exports, the losses that occur in those flow paths, the processes responsible and where in the flow paths the losses occur.