Puri Diksha, Sihag Parveen, Thakur M S
School of Environmental Sciences, Shoolini University, Solan, Himachal Pradesh 173229, India.
Department of Civil Engineering, Chandigarh University, Punjab 140301, India.
MethodsX. 2023 Mar 10;10:102092. doi: 10.1016/j.mex.2023.102092. eCollection 2023.
This paper contemplates the review of aeration efficiency with commonly used different aeration systems such as Venturi flumes, Weirs, Conduits, Stepped channels, In Venturi Aeration, the SAE value grows fast with the number of air holes. In Weir Aeration, it was found that among all the different labyrinth weir structure, triangular notch weirs are known for the optimum results for air entrainment. The ANN model was developed with parameters discharge (Q) and tail water depth (T) which showed that Q is more influential parameter than T. In conduits structure, it was found that circular high head gated conduits have better aeration performance than other conduits. Aeration efficiency in Stepped channels cascades may range from 30% to 70%. The sensitivity analysis with ANN model showed that discharge (Q) followed by number of steps (N) was the most influential parameter in E. Bubble size was the important parameter to undertake when using bubble diffuser. The oxygen transfer efficiency (OTE) in jet diffusers was predicted developing an ANN model. It was found in sensitivity analysis that the input of 'velocity' is highly sensitive to OTE. According to literature, jets can provide OTE in the range of 1.91- 21.53kgO/kW-hr.
本文探讨了对常用的不同曝气系统的曝气效率进行综述，这些系统包括文丘里水槽、堰、管道、阶梯式渠道。在文丘里曝气中，SAE值随着气孔数量的增加而快速增长。在堰曝气中，发现在所有不同的迷宫堰结构中，三角形缺口堰在空气夹带方面具有最佳效果。利用流量（Q）和尾水深度（T）参数开发了人工神经网络（ANN）模型，结果表明Q比T更具影响力。在管道结构方面，发现圆形高水头闸门管道比其他管道具有更好的曝气性能。阶梯式渠道梯级的曝气效率可能在30%至70%之间。人工神经网络模型的敏感性分析表明，流量（Q）其次是步数（N）是曝气效率（E）中最具影响力的参数。气泡大小是使用气泡扩散器时要考虑的重要参数。通过开发人工神经网络模型预测了喷射扩散器中的氧转移效率（OTE）。在敏感性分析中发现，“速度”输入对OTE高度敏感。根据文献，射流可提供1.91 - 21.53kgO/kW-hr范围内的氧转移效率。
