Stochastic Modeling of Carbon Photo-mineralization along Arctic Rivers

Friday, 19 December 2014
Angang Li1, Antoine F Aubeneau2, Tyler King3, Rose Merin Cory4, Bethany T Neilson3, George W Kling5, Diogo Bolster2 and Aaron Ian Packman1, (1)Northwestern University, Evanston, IL, United States, (2)University of Notre Dame, Notre Dame, IN, United States, (3)Utah State University, Logan, UT, United States, (4)University of Michigan Ann Arbor, Earth & Environmental Sciences, Ann Arbor, MI, United States, (5)University of Michigan, Ann Arbor, MI, United States
Permafrost soil stores twice the amount of carbon found in current atmosphere, leading to increasing concern about climate feedbacks due to thawing of organic carbon stored in arctic permafrost. Current climate models assume that CO2 outgassing occurs only at the site of thawing, overlooking the flushing of dissolved organic carbon (DOC) from soils into surface waters, downstream transport, and the associated opportunities for photochemical transformations. To better understand the mechanisms producing CO2 and the effect of water flow on riverine photo-mineralization of DOC, we developed a stochastic particle-tracking model that characterizes the migration of DOC in arctic rivers and the concurrent photo-mineralization during downstream transport. We calibrated the model against field tracer measurements, and then applied the model to analyze the effects of river geometry and flow on rates of photo-mineralization of DOC to CO2 in the Kuparuk River, Alaska. We found that rates of photo-mineralization were dependent on vertical mixing in the water column and average residence times. When flow paths are restricted to areas near and beneath the river bed, where both flow velocity and light availability are low, the overall photo-mineralization of DOC is reduced. Using this model will improve our understanding of the interactions between hydrological and photochemical controls on CO2 production in surface waters, and provide tools that can be used more generally to assess redistribution and transformation of carbon in arctic and global climate models.