O. Hertel et al., TEST OF 2 NUMERICAL SCHEMES FOR USE IN ATMOSPHERIC TRANSPORT-CHEMISTRY MODELS, Atmospheric environment. Part A, General topics, 27(16), 1993, pp. 2591-2611
Two fast integration methods for chemical kinetics are tested. One is
the Quasi-steady State Approximation (QSSA) method and the other is a
new Euler Backward Iterative (EBI) method. The EBI method is based on
iterative solution of the Euler backward approximation of a coupled sy
stem of nonlinear ordinary differential equations of chemical kinetics
. The efficiency of the iteration process is increased by using analyt
ical solutions for groups of species which are strongly coupled. The a
ccuracy of both integration methods is evaluated by comparing the resu
lts with solutions obtained by a Gear method, the Livermore Solver for
Ordinary Differential Equations (LSODE). The chemical scheme used is
the Carbon-bond Mechanism IV (CBM-IV). The numerical methods are teste
d on three chemical scenarios: two scenarios without emissions and wit
h constant reaction rates and one scenario with variable emissions and
photodissociation rates. Using a short time step (50 s), both EBI and
QSSA perform very well, even under extreme chemical conditions. For l
arger time steps the EBI method performs better than QSSA. In the case
of more realistic chemical conditions, both methods perform well even
with a time step of 900 s. The accuracy of QSSA depends highly on the
iteration procedure. Without iterations the QSSA method performs poor
ly. The great advantage of the EBI method is that concentrations are c
omputed using linear operators only. Because of this, the method is ma
ss conserving and can be used in air pollution transport models where
higher moments of concentration distributions also need to be evaluate
d. Both the QSSA and the EBI methods can be recommended for use in atm
ospheric transport-chemistry models, where accuracy as well as computa
tional efficiency is important. In general, the new EBI method is, how
ever, more efficient than QSSA with a constant number of iterations.