1970
DOI: 10.1029/wr006i002p00383
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A Steady State Optimal Design of Artificial Induced Aeration in Polluted Streams by the Use of Pontryagin's Minimum Principle

Abstract: Optimal control theory based on Pontryagin's minimum principle has been applied to the problem of specifying the steady state distribution of artificial aeration in polluted rivers. The optimization was developed for a general integral type cost functional with weighted energy constraints. The system equations used were of the classical Streeter‐Phelps genre with an induced aeration term added as the control function. The formulation of the problem yielded the famous Riccati‐Kalman structure and an analytical … Show more

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Cited by 16 publications
(6 citation statements)
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“…As last remark, we point out that the plot (not reported here) of the left hand side term in (7) is positive where the control does not assume the extremal values 0 and u max and consequently a singular arc may exist.…”
Section: Optimal Time-profilesmentioning
confidence: 66%
“…As last remark, we point out that the plot (not reported here) of the left hand side term in (7) is positive where the control does not assume the extremal values 0 and u max and consequently a singular arc may exist.…”
Section: Optimal Time-profilesmentioning
confidence: 66%
“…Using a numerical method, the aeration as a function of space and time that minimized the aeration rate and the DO deviation from a specified level was found. Davidson and Bradshaw (1970) did the same problem for the steady state case in which the DO level was described by an ordinary differential equation. The resulting solution gave the optimal steady state aeration rate as a function of distance along the stream.…”
Section: Section 2: Previous Resultsmentioning
confidence: 94%
“…For T > 30øC, more than 100% treatment is required. This change demonstrates a new factor to be added to the thermal pollution syndrome [Davidson and Bradshaw, 1967]. Seasonal temperature changes or temperature changes caused by man-made devices (e.g., heated discharges) are thus seen to be an important factor in the optimization study.…”
Section: For Select Suboptimal Casesmentioning
confidence: 99%