两种用于大气输运化学模型的数值格式的试验

Ole Hertel, Ruwim Berkowicz, Jesper Christensen, Øystein Hov
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引用次数: 244

摘要

对化学动力学的两种快速积分方法进行了测试。一种是准稳态近似法(QSSA),另一种是新的欧拉后向迭代法(EBI)。EBI方法是基于非线性化学动力学常微分方程耦合系统的欧拉向后逼近的迭代解。对强耦合的物种群采用解析解,提高了迭代过程的效率。通过将两种积分方法的结果与Gear方法(即利弗莫尔常微分方程求解器(LSODE))的解进行比较,对两种积分方法的精度进行了评价。使用的化学方案是碳键机制IV (CBM-IV)。在三种化学情景下对数值方法进行了测试:两种无排放且反应速率恒定的情景和一种排放和光解速率可变的情景。使用短时间步长(50秒),EBI和QSSA即使在极端化学条件下也表现良好。对于较大的时间步长,EBI方法优于QSSA方法。在更实际的化学条件下,即使时间步长为900s,这两种方法也表现良好。QSSA的精度在很大程度上取决于迭代过程。如果没有迭代,QSSA方法的性能很差。EBI方法的最大优点是浓度的计算只使用线性算子。正因为如此,该方法是质量守恒的,可以用于空气污染运输模型,其中也需要评估更高的浓度分布矩。QSSA和EBI方法都可以推荐用于大气输运化学模型,其中精度和计算效率都很重要。然而,总的来说,新的EBI方法比迭代次数不变的QSSA方法更有效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Test of two numerical schemes for use in atmospheric transport-chemistry models

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 system of nonlinear ordinary differential equations of chemical kinetics. The efficiency of the iteration process is increased by using analytical solutions for groups of species which are strongly coupled. The accuracy of both integration methods is evaluated by comparing the results 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 tested of three chemical scenarios: two scenarios without emissions and with 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 larger 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 poorly.

The great advantage of the EBI method is that concentrations are computed using linear operators only. Because of this, the method is mass conserving and can be used in air pollution transport models where higher moments of concentration distributions also need to be evaluated.

Both the QSSA and the EBI methods can be recommended for use in atmospheric transport-chemistry models, where accuracy as well as computational efficiency is important. In general, the new EBI method is, however, more efficient than QSSA with a constant number of iterations.

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