Joseph George, Alfy, authorArabi, Mazdak, advisorSharvelle, Sybil, committee memberRonayne, Michael, committee member2021-01-112023-01-082020https://hdl.handle.net/10217/219521Stormwater control measures (SCMs) are being installed worldwide to curb urbanization impacts such as flooding, stream degradation, nutrient pollution, and contaminant loading in receiving water bodies. Regular inspection and maintenance are important to ensure long term effective performance of SCMs over their design life. This study investigates the performance, reliability, and time to failure of permeable pavement, a filtration based SCM, as a function of the design life and different maintenance strategies. The Stormwater Management Model (SWMM) is used to simulate performance of infiltration based SCMs under different climate and operational conditions including different maintenance regimes. A probabilistic approach is developed to characterize the risk, reliability and vulnerability of the system. Performance data including the effects of clogging and maintenance was obtained from comprehensive literature review of numerous international studies on performance of SCMs under different maintenance activities and strategies. The method of Sobol' global sensitivity analysis is used to evaluate the predictive uncertainty in the estimated surface overflow/bypass flow, runoff, and infiltration to characterize uncertainty in the input parameters of SWMM. Risk-based evaluation metrics are defined and characterized to assess the performance and probability of failure of the systems. A hazard function approach is used to characterize the time to failure of the systems under full, partial, and no maintenance regimes. Results indicate that maintenance plays a significant role in the simulated flow budgets and the performance of infiltration based SCMs. The time to failure of the systems is substantially increased by partial maintenance, while full maintenance marginally increases the time to failure compared to the partial maintenance regime. The analysis can be used to develop effective maintenance strategies for SCMs to ensure longevity and reliability of SCMs over their design life.born digitalmasters thesesengCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.hazard function analysisstormwater control measuresSWMMmaintenanceglobal sensitivity analysisstormwater managementText