A PREDICTIVE ALGORITHM FOR INFLUENT FLOW AT A LARGE METROPOLITAN TREATMENT PLANT USING SYSTEM FLOW METERING DATA
The paper presents the approach used to develop a predictive algorithm for flow at the Metro Wastewater Treatment Plant in St. Paul, Minnesota. A successful and reliable flow prediction would allow the operator to make well-timed and confident decisions during wet weather flow events. Ultimately, the algorithm was based on direct real-time flow measurements made at specific points in the MCES interceptor system. The measurements are scaled, translated in time, and summed to predict a flow 90 minutes in the future at the Metro Plant. The paper describes the data sources and the results after one year of use. Results indicate the algorithm provides very good, although conservative, predictions of flow at the metro Plant during both dry and wet weather conditions.
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Document Type: Research Article
Publication date: 2005-01-01
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