In this article, we developed a pore‐scale model of integrated lattice Boltzmann method and cellular automata to investigate competitive growth of aerobic nitrite and ammonium oxidizers in a bioreactor. The results showed that inlet nutrient concentrations have significant effects on maximum biofilm concentration, ratio of microorganisms' concentrations, growth pattern, and time. The local availability of oxygen could control the competition, resulting in different growth patterns. The coexistence of ammonium and nitrite in same inlet zone increased not only the biofilm concentration (7%) but also the ratio of microorganisms' concentrations (36%). Although this coexistence decreased the total biofilm concentration in some cases, it increased the growth rate about 25%. Changes of the maximum biomass concentration could change biofilm concentration of about 40% and microorganisms' concentrations ratio of about 30%. This framework provides a powerful tool to improve our understanding of dynamic interdependency of many complex microbial consortia systems with environments.

中文翻译：

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不断变化的环境中多种生物膜对营养物质竞争与合作的孔隙度建模

在本文中，我们开发了一个集成格子Boltzmann方法和细胞自动机的孔尺度模型，以研究生物反应器中好氧的亚硝酸盐和铵氧化剂的竞争性增长。结果表明，进口养分浓度对最大生物膜浓度，微生物浓度比，生长方式和时间有显着影响。本地的氧气供应量可以控制竞争，从而导致不同的增长方式。铵盐和亚硝酸盐共存于同一入口区域不仅增加了生物膜浓度（7％），而且增加了微生物浓度比（36％）。尽管这种共存在某些情况下降低了总生物膜浓度，但它使生长速度提高了约25％。最大生物量浓度的变化可改变约40％的生物膜浓度和约30％的微生物浓度比。该框架提供了一个强大的工具，可增进我们对许多复杂的微生物联盟系统与环境之间动态相互依赖性的理解。