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Title:Probabilistic analysis of wastewater treatment and disposal systems
Author(s):Kothandaraman, Veerasamy
Contributor(s):Ang, A.H-S.; Ewing, Ben B.
Subject(s):Water resource development--Illinois
Water resources development
Waste water
Dissolved oxygen
Model studies
Astatistical methods
Monte Carlo
Deoxygenation coefficients
Probabilistic variation
Geographic Coverage:Illinois (state)
Abstract:This work attempts to predict dissolved oxygen deficits in a stream with known initial conditions by taking into account the variations in deoxygenation and reaeration coefficients. A hypothetical stream situation is used to establish the significance in predicting dissolved oxygen deficit. Statistical models are formulated and tested for the variations in these coefficients using published data. Simulation techniques using the Monte Carlo method are employed in predicting the probabilistic variation in dissolved oxygen deficits for known initial conditions and the results are verified with the survey data observed for the Ohio River Cincinnati Pool reach. The predicted results using probabilistic model are found to agree with the observed values within practical limits and give more consistent results than conventional methods.
Issue Date:1968-05
Publisher:University of Illinois at Urbana-Champaign. Water Resources Center
Genre:Report (Grant or Annual)
Sponsor:U.S. Department of the Interior
U.S. Geological Survey
Rights Information:Copyright 1968 held by Veerasamy Kothandararnan
Date Available in IDEALS:2016-06-20

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