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Grey-box modelling of pollutant loads from a sewer system
Affiliation:1. Krüger A/S, Gladsaxevej 363, DK-2860 Søborg, Denmark;2. Department of Mathematical Modelling, Technical University of Denmark, Building 321, DK-2800 Lyngby, Denmark;1. Advanced Water Management Centre (AWMC), The University of Queensland, St. Lucia, QLD, 4072, Australia;2. Cooperative Research Centre for Water Sensitive Cities, Melbourne, Australia;3. State Key Laboratory of Pollution Control and Resources Reuse, College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, PR China;1. Department of Electrical and Computer Engineering, Kansas State University, Manhattan, KS 66502, USA;2. Black and Veatch Corporation, Overland Park, KS 66211, USA;3. City of Springfield, Springfield, MO 65802, USA;1. Advanced Water Management Centre, The University of Queensland, Gehrmann Building, St. Lucia, 4072, Queensland, Australia;2. CRC for Water Sensitive Cities, PO Box 8000, Clayton, Victoria 3800, Australia;3. Marmara University, Environmental Engineering Department, Goztepe, Istanbul, 34722, Turkey;1. Advanced Water Management Centre, The University of Queensland, St. Lucia, 4072, Queensland, Australia;2. CRC for Water Sensitive Cities, PO Box 8000, Clayton, 3800, Victoria, Australia;3. Sydney Water, 1 Smith Street, Parramatta, 2159, New South Wales, Australia
Abstract:Using a compact measuring unit with on-line meters for UV absorption and turbidity, it is possible to determine concentrations of organic load (chemical oxygen demand (COD) and suspended solids (SS)) anywhere in a sewer system. When measurements of the flow are available as well, the pollutant mass flow at the measuring point can be calculated.The measured data are used to estimate different models describing the load of pollutants in the sewer. A comparison of the models shows that a grey-box model is most informative and best in terms measured by the multiple correlation coefficient. The grey-box model is a state-space model, where the state represents the actual amount of deposition in the sewer, and the output from the model is the pollutant mass flow to the wastewater treatment plant (WWTP). The model is formulated by means of stochastic differential equations. Harmonic functions are used to describe the dry weather diurnal load profiles. It is found that the accumulation of deposits in the sewer depends on previous rain events and flows.By means of on-line use of the grey-box models, it is possible to predict the amount of pollutants in a first flush at any time, and hence from the capacity of the plant to decide if and when the available detention basin is to be used for storage of wastewater. The mass flow models comprise an important improvement of the integrated control of sewer and WWTP including control of equalisation basins in the sewer system. Further improvements are expected by the introduction of an additive model where dry weather situations and storm situations are modelled separately before addition to the resulting model.
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