Real-Time Control for Matching Wastewater Discharges to the Assimilative Capacity of a Complex, Tidally Affected River Basin

Water Resources of South Carolina Publication

Real-Time Control for Matching Wastewater Discharges
to the Assimilative Capacity of a Complex, Tidally
Affected River Basin

By Paul A. Conrads¹ and Edwin A. Roehl, Jr.²,

¹Hydrologist, U.S. Geological Survey, Gracern Road, Suite 129, Columbia, South Carolina
²OptiQuest Technologies, LLC, Greenville, South Carolina

Conference Paper

Proceedings of the South Carolina Environmental Conferences, Myrtle Beach, March 15-16, 1999
Download FULL TEXT 5p.(202kb pdf)

To view or print FULL TEXT Report - Get free Adobe Acrobat Reader Software

Abstract

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.

Abstract
Introduction
Control System Approach
Control System Description and Performance
Results and Discussion
Deployment Strategy
Conclusions
References

FIGURES

Figure 1. Charleston Harbor and its tributaries.
Figure 2. Control Scheme Using a Neural Network Model with an Optimization Program.
Figure 3: Actual Data and Soft Sensor Predictions (SS Pred) of DO at Station 021720675.
Figure 4: Simulation Results at Station 021720675 for Days 280 to 310.
Figure 5. Schematic of Real-Time Control Scheme.

For comments or questions, Pubs Information
Maintainer: SC WebTeam
Last modification: 31-Mar-2004@15:49

Water Resources of South Carolina Publication