![]() The components of the IDEFO model are developed and the use of this model as a tool in the privatization process is defined. An IDEFO model of a municipal wastewater treatment plant was developed to identify the functional elements of the treatment process and their interrelationships. Identification of the wastewater functions that satisfy business and technical constraints is vital to the privatization process. The extension of systems engineering methodologies to the functional decomposition of a wastewater treatment facility is the contribution of this work. The preponderance of the literature is focused on the financial aspects of the privatization process as opposed to the engineering challenges. difficult to repeat under different circumstances. Currently documented methodologies for use in privatization ventures are imprecise and qualitative they are based on successful case studies that may be. The wastewater plant is subject to a variety of financial, technical, and legal constraints that must be met to ensure public safety and well being. The management of the privatization of wastewater treatment services is a complex process. A classification model was developed to further discriminate climate conditions of influent, which will be applied to develop scenario-based soft sensor as well as support WWTP surveillance and control. This study investigated the daily, weekly and seasonal variation of WWTP influent, and provided evidence of climate effect on influent characteristics by analyzing the correlation of climatic information and wastewater characteristics. To enable the study of influent seasonal variation, a stepwise approach was developed to determine whether the WWTP influent wastewater contains snowmelt (wet climate) or not (dry climate). The dilution effect of snow melting in cold season makes it impossible to compare cold season influent and warm. In cold climate area, snow melting happens frequently in cold season and affects wastewater characteristics significantly. The daily, weekly and seasonal variation of influent characteristics of wastewater treatment plants (WWTPs) highly affects the performance of wastewater treatment. ![]() The paper should be of interest to agencies and consultants who are looking for ways to reduce uncertainty in peak wet weather flow projections that provide the basis for the design of sewers, pump stations, and wastewater treatment Calibration results are presentedĪnd discussed, as well as the final design flow estimates. ![]() After modeling several future scenarios that varied in terms of development and assumedĬhanges in RDI/I, the project team was able confidently proceed with the design of the Durham IPS.This paper describes the features of the continuous simulation model that was developed, emphasizing both the key advantages and limitations of the model. Following a successful calibration, the model was run for 50 years of historical rainfall records to determine the 5-year return period peak flow. Included years having low, average, and high rainfall. The model was calibrated to observed hourly flows over an eight-year period that Simulation model to reduce the level of uncertainty in the design flow estimates.A key feature of the model applied in this study is its ability to simulate the effects of antecedent rainfall on RDI/I. After reviewing the previous studies and performing an initial assessment of factors affecting rainfall-dependent I/I (RDI/I) in the Durham service area, the IPS design team and CWS decided to apply a continuous In terms of the initial cost of the pump station and its future performance. Which of these design flows were selected would have significant implications Two previous studies had arrived at very different estimates of future 5-year return period peak flows, one based on statistical analysis of observed flows and one based on single-event modeling. To accommodate planned growth in a portion of their service area, CWS is upgrading the Durham Advanced Wastewater Treatment Plant and the associated Influent Clean Water Services (CWS) provides wastewater collection and treatment services to the western suburbs of Portland, Oregon.
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