Water Environ Res. 2014 Mar;86(3):245-57. doi: 10.2175/106143013x13736496908555.
Simultaneous biological nutrient removal (SBNR) is the occurrence of biological nutrient removal (BNR) in systems that do not possess defined anaerobic and/or anoxic zones. A review of the relevant literature demonstrates that two mechanisms are primarily responsible for SBNR: (1) the bioreactor macro-environment and (2) the floc microenvironment. Complex hydraulic flow patterns exist in full-scale bioreactors that can result in the cycling of mixed liquor through the different environments needed for BNR. Diffusion resistance further allows oxygen-sufficient and oxygen-deficient zones to develop in activated sludge flocs if the external dissolved oxygen concentration is properly controlled. The diffusion of substrates between these zones allows BNR to occur. Long-term acclimation to the unique environmental conditions occurring in these systems results in the selection of microorganisms well adapted to the low dissolved oxygen concentrations occurring in them. The experience base for the design and operation of SBNR systems is expanding, thereby allowing their more widespread application, especially coupled with conventional mathematical modeling approaches. Computational fluid dynamics is an evolving tool to assist with the design and optimization of SBNR.
同步生物脱氮除磷(SBNR)是指在没有明确的厌氧和/或缺氧区的系统中发生的生物脱氮除磷(BNR)。对相关文献的回顾表明,有两种主要机制负责 SBNR:(1)生物反应器宏观环境和(2)絮体微环境。在全尺寸生物反应器中存在复杂的水力流动模式,这可能导致混合液通过生物脱氮所需的不同环境循环。如果外部溶解氧浓度得到适当控制,扩散阻力还可以使好氧和缺氧区在活性污泥絮体中发展。这些区域之间的基质扩散允许发生 BNR。对这些系统中出现的独特环境条件的长期驯化导致选择了非常适应其中低溶解氧浓度的微生物。SBNR 系统的设计和操作经验基础正在扩大,从而允许更广泛地应用,特别是与传统的数学建模方法相结合。计算流体动力学是一种不断发展的工具,可用于协助 SBNR 的设计和优化。