Probabilistic models for predicting stream quality

Probabilistic models for predicting stream quality Mathematical models are developed to predict the probability distribution of minimum dissolved oxygen concentrations occurring downstream from any particular wastewater treatment facility. Each of the models is based on different assumptions of average daily stream and sewage flow conditions. Using a hypothetical example, distributions of minimum dissolved oxygen concentrations in a stream are determined for 1, 2, and 3 consecutive‐day periods. Knowledge of the cost required to reduce the probability of having less than some desired level of stream quality for various consecutive‐day periods can be used as a basis for selecting the degree of wastewater treatment as well as for establishing more realistic stream quality standards. (Key words: Quality of streams; probabilistic models) http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Water Resources Research Wiley

Probabilistic models for predicting stream quality

Water Resources Research, Volume 2 (3) – Sep 1, 1966

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Publisher
Wiley
Copyright
Copyright © 1966 by the American Geophysical Union.
ISSN
0043-1397
eISSN
1944-7973
D.O.I.
10.1029/WR002i003p00593
Publisher site
See Article on Publisher Site

Abstract

Mathematical models are developed to predict the probability distribution of minimum dissolved oxygen concentrations occurring downstream from any particular wastewater treatment facility. Each of the models is based on different assumptions of average daily stream and sewage flow conditions. Using a hypothetical example, distributions of minimum dissolved oxygen concentrations in a stream are determined for 1, 2, and 3 consecutive‐day periods. Knowledge of the cost required to reduce the probability of having less than some desired level of stream quality for various consecutive‐day periods can be used as a basis for selecting the degree of wastewater treatment as well as for establishing more realistic stream quality standards. (Key words: Quality of streams; probabilistic models)

Journal

Water Resources ResearchWiley

Published: Sep 1, 1966

References

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