International Low Impact Development Conference China 2016
A CFD-Based Level Sensor Location Optimization Method for Overflow Discharge Estimation in CSOs
Publication: International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
ABSTRACT
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.
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ACKNOWLEDGEMENT
This work was financially supported partly by Tongji University under the project 2015KJ021, the Foundation of State Key Laboratory of Pollution Control and Resource Reuse (Grant No. PCRRY15009) and Natural Science Foundation of Shanghai of China (Grant No.17ZR1431700). Author also thanks the water service of the Metropolis of Lyon for their support on experiment site information.
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Information & Authors
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Published In
International Low Impact Development Conference China 2016: LID Applications in Sponge City Projects
Pages: 352 - 362
Editors: Haifeng Jia, Ph.D., Tsinghua University, Shaw L. Yu, Ph.D., University of Virginia, Robert Traver, Ph.D., Villanova University, Huapeng Qin, Ph.D., Peking University Shenzhen Graduate School, Junqi Li, Ph.D., Beijing University of Civil Engineering and Architecture, and Mike Clar, Ecosite, Inc.
ISBN (Online): 978-0-7844-8104-2
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© 2017 American Society of Civil Engineers.
History
Published online: Dec 4, 2017
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