TY  - JOUR
AU  - Bühler, Jonas
AU  - Huber, Gregor
AU  - von Lieres, Eric
TI  - Finite volume schemes for the numerical simulation of tracer transport in plants
JO  - Mathematical biosciences
VL  - 288
SN  - 0025-5564
CY  - New York, NY
PB  - American Elsevier
M1  - FZJ-2017-02065
SP  - 14 - 20
PY  - 2017
AB  - Compartmental models can be used for inverse modeling of long distance tracer transport experiments in plants. Such transport models describe axial convection and diffusion as well as exchange between compartments, and are defined by partial differential equations (PDEs). Since for inverse modeling, the forward simulation needs to be evaluated frequently, a fast PDE solver is required. Here, we compare several different finite volumes schemes up to fifth order for spatial discretization with respect to ac- curacy, computation time and numerical oscillations. The comparison has been performed using initial conditions with varying steepness, and periodic boundary conditions. For time discretization, standard fifth order Runge–Kutta methods are used. For smooth initial conditions, fifth order upwind schemes for spatial discretization yield the most precise and fast solutions. For higher steepness of the initial condi- tion, higher order upwind schemes produce spurious oscillations while flux limiter schemes as well as weighted essentially non-oscillating (WENO) schemes can suppress these oscillations, at the expense of comparably slower convergence rates and higher computation times.
LB  - PUB:(DE-HGF)16
UR  - <Go to ISI:>//WOS:000401386600002
DO  - DOI:10.1016/j.mbs.2017.02.009
UR  - https://juser.fz-juelich.de/record/828051
ER  -