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contributor authorJ. Hugh Ellis
contributor authorEdward A. McBean
contributor authorGrahame J. Farquhar
date accessioned2017-05-08T20:57:17Z
date available2017-05-08T20:57:17Z
date copyrightDecember 1985
date issued1985
identifier other%28asce%290733-9372%281985%29111%3A6%28804%29.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/33098
description abstractA stochastic optimization‐simulation method is presented for delineating least‐cost treatment sequences for a centralized liquid industrial waste treatment facility. A dynamic programming model performs the optimization. The function of the model is to delineate least‐cost treatment sequences that will produce an acceptable effluent stream qualify given a probabilistically‐generated influent waste regime. The model is structured to permit the following user‐determined options: waste types and respective volumes in the waste inventory; specific contaminants within each waste type; contaminant‐specific probability density functions for waste strength; unit treatment processes including performance efficiencies and related costs; and individual contaminant effluent standards. The stochastic dynamic programming model served as a screening device, identifying unit treatment processes and sequences of processes with favorable cost‐effectiveness attributes. The treatment paths thus identified were further analyzed and refined using stochastic simulation techniques.
publisherAmerican Society of Civil Engineers
titleStochastic Optimization/Simulation of Centralized Liquid Industrial Waste Treatment
typeJournal Paper
journal volume111
journal issue6
journal titleJournal of Environmental Engineering
identifier doi10.1061/(ASCE)0733-9372(1985)111:6(804)
treeJournal of Environmental Engineering:;1985:;Volume ( 111 ):;issue: 006
contenttypeFulltext


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