Regional planning for the abatement of pollution in a river drainage basin can profitably include artificial in-stream aeration as a key component in a coordinated abatement effort. This technique compares very favorably, on a capital expense basis, with more traditional abatement methods. A general drainage basin structure containing a river, or rivers, with tributaries in a graphical tree structure is considered. The mathematical mode developed is a general formulation which deals with the arbitrary number of confluences in the basin, tributaries entering the controlled section, the spacially discrete nature of the feedback water quality measurements and of the treatment sites, and the stochastic nature of the measurements and pollution sources. An optimal aeration strategy is determined for each aerator as a function of measurement data throughout the basin, and examples are given to illustrate the results.
Skip Nav Destination
Article navigation
December 1982
Research Papers
Stochastic Artificial Aeration Control for Regional Drainage Basins
N. M. Olgac,
N. M. Olgac
University of Connecticut, Storrs, Conn. 06268
Search for other works by this author on:
R. W. Longman,
R. W. Longman
Columbia University, New York, N.Y. 10027
Search for other works by this author on:
C. A. Cooper
C. A. Cooper
American Telephone and Telegraph Company, Basking Ridge, N.J. 07920
Search for other works by this author on:
N. M. Olgac
University of Connecticut, Storrs, Conn. 06268
R. W. Longman
Columbia University, New York, N.Y. 10027
C. A. Cooper
American Telephone and Telegraph Company, Basking Ridge, N.J. 07920
J. Dyn. Sys., Meas., Control. Dec 1982, 104(4): 337-342 (6 pages)
Published Online: December 1, 1982
Article history
Received:
April 7, 1982
Online:
July 21, 2009
Citation
Olgac, N. M., Longman, R. W., and Cooper, C. A. (December 1, 1982). "Stochastic Artificial Aeration Control for Regional Drainage Basins." ASME. J. Dyn. Sys., Meas., Control. December 1982; 104(4): 337–342. https://doi.org/10.1115/1.3139719
Download citation file:
7
Views
Get Email Alerts
Cited By
Multi Combustor Turbine Engine Acceleration Process Control Law Design
J. Dyn. Sys., Meas., Control
A Distributed Layered Planning and Control Algorithm for Teams of Quadrupedal Robots: An Obstacle-Aware Nonlinear Model Predictive Control Approach
J. Dyn. Sys., Meas., Control (May 2025)
Active Data-Enabled Robot Learning of Elastic Workpiece Interactions
J. Dyn. Sys., Meas., Control (May 2025)
Innovative Pressure Control With ANFIS-Enhanced Mode Switching for High-Speed Pneumatic Systems
J. Dyn. Sys., Meas., Control (May 2025)
Related Articles
Optimal Control of a Partially Time Lagged River Aeration System Subject to Random Disturbances
J. Dyn. Sys., Meas., Control (September,1977)
The Dispersion and Detectability of Sanitary Waste-Water Discharges From Navy Ships
J. Eng. Ind (February,1975)
Experimental Investigations on Noise Attenuation of a Twin Cylinder Stationary Diesel Engine with Different Types of Mufflers
J. Vib. Acoust (July,1999)
Into the Muck
Mechanical Engineering (November,2017)
Related Chapters
Pipeline Integrity and Security
Continuing and Changing Priorities of the ASME Boiler & Pressure Vessel Codes and Standards
Assessment of Fish Flesh Tainting Substances
Biological Methods for the Assessment of Water Quality
The Preorder Sequence and the Inorder Sequence Cannot Uniquely Determine a Binary Tree
International Conference on Advanced Computer Theory and Engineering, 5th (ICACTE 2012)