Improved Monitoring Protocol for Evaluating the Performance of a Sewage Treatment Works Based on Sensitivity Analysis of Mathematical Modelling

• 作者: Anthony Y. W. Ma Jian Chen Josie J. Ren Vinci K. C. Lee Xie Zhou Yanqiu Tang
• 来源期刊: 工程(英文)(1947-3931)
• 学科: 医学
• 关键词: ACTIVATED SLUDGE Model Sensitivity Analysis Mathematical MODELLING SEWAGE Treatment
• 年，卷（期）: gc-eng_2018,（7）
• 页码范围: 464-476
• 页数: 13页
• 分类号: R73

摘要

Extensive historical data of a sewage treatment works are required by numerical models in order to simulate the biological processes accurately. However, the data are recorded mostly for daily operational purpose. They are basically not comprehensive enough to meet the modelling’s requirements. A comprehensive sampling protocol to accurately characterise the influent is required in order to determine all model components, which is very time-consuming and expensive. In a project of evaluating a sewage treatment works in Chongqing by using BioWin 4.1 for mathematical modelling, sensitivity analysis was conducted to determine the most critical parameters for process monitoring. It was found that influent characteristics, wasted sludge flow rate, water temperatures, DO levels of the biological tanks and five bio-kinetic parameters were the most influential parameters governing the plant performance. Therefore, apart from monitoring the effluent quality, regular checking of the afore-mentioned influential parameters can help examine the performance of a sewage treatment works. Moreover, operators of the sewage treatment works can conduct “what-if” analysis to determine how these most influential parameters can be adjusted to improve the treatment performance of the sewage treatment works.