Abstract:Taking the sewage treatment system of Zhuyuan Area in Shanghai as an example, the Prophet model and Pearson correlation coefficient method are applied to analyze the changes and interactions of the water quantity of key pumping stations of sewage treatment system in 2019 and 2020. The results show that there is a lag correlation between the peak flow of the end of the main pipe and the peak rainfall flow in the service area of Zhuyuan system. There is a moderate correlation between overflow and rainfall. The terminal pumping station has a great influence on the inlet water quantity of the wastewater treatment plant (WWTP). The increase of the downstream branch water quantity leads to the increase of the water intake of WWTP. The four selected key node pumping stations have obvious periodic and seasonal effects. The periodic effect is reflected in the continuous rise of water quantity in the second half of the week, the peak at the weekend, and then the gradual decline. The seasonal effect shows that the water level is high and fluctuated obviously from July to October, and low in January and February. The effects studied aiming at the variation rule of water quantity in the combined sewage treatment system of super large city can provide the data support for the study on joint control and combined adjusting of large-scale drainage systems.
