Artikel 1
Real-Time Control for Matching Wastewater Discharges to the Assimilative Capacity of a Complex, Tidally Affected River Basin
Penulis: Edwin A. Roehl Jr. and Paul A. Conrads
Paper ini disajikan pada South Carolina Environmental Conference yang dilaksanakan di Myrtle Beach pada 15-16 Maret 1999.
A neural network model was applied to simulate the hydrodynamics and water quality of the Cooper and Wando Rivers in South Carolina. The evaluation of the model showed that predictions of salinity, water temperature, and dissolved-oxygen concentration for this complex estuarine system were accurate. Because neural network models execute without iteration, they are ideal for integrating with real-time information and control systems. In this study, the neural network model of the Cooper and Wando Rivers was coupled with an optimization routine to make maximum use of the assimilative capacity of the two-river system. Target dissolved-oxygen concentrations, set at the State water-quality standard, were matched by constraining effluent discharges. A prototype real-time control system for matching wastewater discharges to the continuously changing assimilative capacity of the Cooper and Wando Rivers is presented.
Sumber: Surface-Water Quality and Flow Modelling Interest Group, U.S. Geological Survey
Link: http://smig.usgs.gov/SMIG/features_0399/nnm2.html
Ringkasan ini dibuat tanggal: 29 Juni 2005
Penulis: Edwin A. Roehl Jr. and Paul A. Conrads
Paper ini disajikan pada South Carolina Environmental Conference yang dilaksanakan di Myrtle Beach pada 15-16 Maret 1999.
A neural network model was applied to simulate the hydrodynamics and water quality of the Cooper and Wando Rivers in South Carolina. The evaluation of the model showed that predictions of salinity, water temperature, and dissolved-oxygen concentration for this complex estuarine system were accurate. Because neural network models execute without iteration, they are ideal for integrating with real-time information and control systems. In this study, the neural network model of the Cooper and Wando Rivers was coupled with an optimization routine to make maximum use of the assimilative capacity of the two-river system. Target dissolved-oxygen concentrations, set at the State water-quality standard, were matched by constraining effluent discharges. A prototype real-time control system for matching wastewater discharges to the continuously changing assimilative capacity of the Cooper and Wando Rivers is presented.
Sumber: Surface-Water Quality and Flow Modelling Interest Group, U.S. Geological Survey
Link: http://smig.usgs.gov/SMIG/features_0399/nnm2.html
Ringkasan ini dibuat tanggal: 29 Juni 2005
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