Direct Numerical Simulations of Phytoplankton Blooms

Saturday, February 16, 2013
Auditorium/Exhibit Hall C (Hynes Convention Center)
Christopher Luna , Arizona State University, Tempe, AZ
Wenbo Tang , Arizona State University, School of Math & Statistical Sciences, Tempe, AZ
Background:

From satellite images, we see phytoplankton blooms in the North Atlantic from season to season. Scientists notice that these blooms take different behaviors in distinct flow topologies, such as vortices and filaments. Motivated by such observations, and the recent developments with objective extractions of flow topologies using Lagrangian Coherent Structures, we studied the Fisher-Kolmogorov equations inside a double-gyre system. We quantified the variabilities in biochemical reaction processes based on a natural coordinate system extracted from the Lagrangian topologies and examined how the initial placement of a biomass in this coordinate system correlated to its growth rate.

Methods:

We studied the biological reaction processes using direct numerical simulations. The Lagrangian topologies are extracted as the extrema of the Finite-Time Lyapunov Exponent (FTLE) field for the flow, and the natural coordinate system used is based on the extracted invariant barriers.

Results:

We found the dependence of reaction rates on the hyperbolic finite time invariant manifolds highlighting the largest stretching of scalars as well as the reaction rates in the transversal direction from eddy centers to their edges (i.e. their transport barriers).

Conclusions:

It was observed that the biological reaction processes are heavily modulated by Coherent Structures in the flow. With initial placement in repelling structures, the biological species is helped to spread out much faster, hence allowing biochemical reactions to take place more quickly. With initial placement in attracting structures, the biological species is brought to be highly concentrated, hence suppressing the overall growth of the biomass. With respect to initial placement in eddies, since trajectories are not separated so much, the biological reaction processes are more regular as if there were no stirring introduced.