Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China; College of Environment, Hohai University, Nanjing 210098, China; Guohe Environmental Research Institute (Nanjing) Co, Ltd, Nanjing 211599, China.
Key Laboratory of Integrated Regulation and Resource Development on Shallow Lakes, Ministry of Education, Hohai University, Nanjing 210098, China; College of Environment, Hohai University, Nanjing 210098, China.
Sci Total Environ. 2021 May 15;769:144851. doi: 10.1016/j.scitotenv.2020.144851. Epub 2021 Jan 19.
Model simulation is an effective approach to optimize the operational performance of wastewater treatment plants (WWTPs). This study presents a novel strategy to enhance the total nitrogen (TN) removal in WWTPs by GPS-X integrated with response surface methodology. The sensitivities of 61 parameters were screened and analyzed, and 6 critical parameters (i.e., μ, K, μ, K, Y and μ) were selected for further adjustment. The accuracy of GPS-X for WWTPs modeling was validated by static and dynamic simulations with actual operational data. The results showed that the DO concentration diffused in different biological compartments exhibited significant effects on the denitrification rate. The TN removal is also associated with SRT. The significance and optimization orders of key parameters were analyzed. With the optimization of DO in biological units and SRT, the nitrification and denitrification rates were improved to 97.1 and 85.3% respectively, saving 17.9% energy consumption.
模型模拟是优化废水处理厂（WWTP）运行性能的有效方法。本研究提出了一种通过 GPS-X 与响应面法集成来提高 WWTP 总氮（TN）去除率的新策略。筛选和分析了 61 个参数的敏感性，选择了 6 个关键参数（即μ、K、μ、K、Y 和μ）进行进一步调整。通过实际运行数据的静态和动态模拟验证了 GPS-X 对 WWTP 建模的准确性。结果表明，不同生物区的 DO 浓度扩散对反硝化速率有显著影响。TN 去除也与 SRT 有关。分析了关键参数的显著性和优化顺序。通过优化生物单元中的 DO 和 SRT，硝化和反硝化速率分别提高到 97.1%和 85.3%，节能 17.9%。
