Application of Methods From Nonlinear Chemical Dynamics to the Modeling of Tropospheric Chemistry

在这个项目中，将研究非线性动力学对大气化学系统行为的影响。具体地说，将与在森林火灾中进行测量的科学家合作，研究生物质燃烧产生的烟雾的演变。大气化学模型建立在非线性控制微分方程组的基础上。在这样的系统中，自催化生长或某些物种是可能的，具有戏剧性的影响，包括稳态的不稳定和敏感性，振荡，甚至混沌。这种非线性对真实大气行为的影响，以及对大气模型可靠性的影响，还没有被很好地理解。为了理解和分析受非线性动力学规律支配的反应化学体系，人们已经发展了强有力的方法。这些方法将被应用于高度发达的对流层化学模型。最初，将使用相对较小的大气化学模式，稍后将研究增加模型复杂性的影响。该项目由EPSCoR、大气化学以及理论和计算化学计划共同支持。

In this project, the effect of nonlinear dynamics on the behavior of atmospheric chemical systems will be investigated. Specifically, the evolution of smoke from biomass combustion will be studied in collaboration with scientists performing measurements in forest fires. Atmospheric chemistry models are based upon nonlinear governing differential equations. In such a system, autocatalytic growth or certain species is possible, with dramatic effects including instability and sensitivity of steady states, oscillations, and even chaos. The effects of this nonlinearity on the behavior of real atmospheres, as well as on the reliability of atmospheric models, are not well-understood. Powerful methods have been developed for the understanding and analysis of reactive chemical systems governed by nonlinear dynamic laws. These methods will be applied to very highly developed models of tropospheric chemistry. Initially, relatively small atmospheric chemistry models will be used, and later, the effects of adding model complexity will be investigated. This project is supported jointly by the EPSCoR, the Atmospheric Chemistry, and the Theoretical and Computational Chemistry Programs.