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Access Type
WSU Access
Date of Award
January 2023
Degree Type
Dissertation
Degree Name
Ph.D.
Department
Civil and Environmental Engineering
First Advisor
Carol Miller
Abstract
ABSTRACTASSESSMENT AND PREDICTION OF GROUNDWATER INFILTRATION AND SURFACE WATER INFLOW (I/I) INTO URBAN SEWER COLLECTION SYSTEMS, PILOT STUDY: DETROIT, MI by AMIR SHAHIN KAMJOU October 2023 Advisor: Prof. Carol J. Miller Major: Civil and Environmental Engineering Degree: Doctor of Philosophy Combined sewer collection systems are vital components of urban infrastructure designed to collect wastewater, including sanitary sewage and stormwater runoff. Most of these systems face an enduring challenge known as infiltration and inflow (I/I). Infiltration refers to the groundwater entering the sewer system through deteriorated infrastructure, cracks, faulty joints, and leaks. Inflow refers to the stormwater runoff entering the sewer system through various sources such as roof and yard drains, catchments, and access chamber covers. The excessive I/I significantly overwhelm the capacity of sewer systems, leading to numerous issues, including decreased system efficiency, elevated treatment costs, sewage backups, property damage, soil wash-off and sinkholes, public health risks, and combined sewer overflows (CSO). The CSO events are caused by system failure during heavy rainfall events, which leads to the release of untreated sewage into local water bodies, posing significant risks due to the potential contamination by bacteria, chemicals, pathogens, and excess nutrients into recreational areas and the ecosystem. The quantification of I/I leads to efficient remediation strategies that reduce the occurrence rate and severity of I/I-related problems and protect public health and the environment. Additionally, it can contribute to the longevity and efficiency of the sewer infrastructure, reducing maintenance costs and enhancing the system's overall resilience. The high-performance conventional I/I estimation methods consist of synthetic unit hydrograph and Genetic Algorithm (GA) curve fitting optimization. This study aimed to further enhance the accuracy of I/I estimation and prediction by implementing a superior optimization algorithm called Memetic Algorithm (MA), and a new innovative objective function. The MA algorithm improved the precision by preventing premature convergence and enhanced the overall computational cost compared to GA due to its meta-heuristic search techniques. However, the proposed objective function outperformed the MA algorithm, yielding a higher modeling accuracy. Thus, the combination of MA and the proposed objective function performed an outstanding ability to simulate the flow with lower computational cost. The key findings of this study contribute to the overall efficiency, resilience, and sustainability of the city of Detroit's sewer system, leading to optimized system operation, cost reduction, and improved public health protection.
Recommended Citation
Kamjou, Amir Shahin, "Assessment And Prediction Of Groundwater Infiltration And Surface Water Inflow (i/i) Into Urban Sewer Collection Systems, Pilot Study: Detroit, Mi" (2023). Wayne State University Dissertations. 3951.
https://digitalcommons.wayne.edu/oa_dissertations/3951