A CFD-Based Level Sensor Location Optimization Method for Overflow Discharge Estimation in CSOs

摘要

Assessment of overflow discharge of combined sewer overflows (CSOs) is of great importance for pollution control in combined sewer system (CSS) since in which many pollutants is often contained during the wet weather. The relationship between water level of CSOs chamber is often used to estimate the discharge. However, it is difficult to accurately estimate the overflow discharge with limit level sensors due to the complex flow condition. A computational fluid dynamics (CFD) based method which is capable to determine the most suitable location for water level sensor is presented, aiming to improve the monitoring accuracy of overflow discharge by optimizing the locations with limit sensors. The results show that the proposed method can quantitatively find the optimized location of the sensor, coupling with the global uncertainty estimation. Therefore, the proposed method can provide more accurate monitoring information for assessing the CSOs impact on receiving water bodies, rehabilitation measures, and real time control (RTC) management.