Methylation is the process most critical in successfully modeling methylmercury dynamics in aquatic ecosystems.  Historically, modelers have used mass-balances to back out methylation rates; ideally, modelers could model methylation based on first principles.  This session focuses on emerging research on mercury methylation and how it is leading to improved model robustness.

Curtis D. Pollman, Ph.D.
Chief Scientist
Frontier Geosciences, Inc.
414 Pontius Avenue North
Seattle, WA 98109
206.622.6960
352.222.4039 (cell)
curtisp@frontiergeosciences.com

Sujoy Roy
Tetra Tech, Inc.
3745 Mt. Diablo Blvd.
Suite 300
Lafayette, CA 94549-3681
925.283.3771 (phone), 925.283.0780 (fax)
sujoy.roy@tetratech.com