Files in this item

FilesDescriptionFormat

application/pdf

application/pdfRossmanLiebman_1974.pdf (4MB)
(no description provided)PDF

Description

Title:Optimal regionalization of wastewater treatment for water quality management
Author(s):Rossman, Lewis A.; Liebman, Jon C.
Contributor(s):University of Illinois at Urbana-Champaign
Subject(s):Water resource development--Illinois
Water resources development
Wastewater
Waste water
Water quality
Nonlinear programming
Optimization
Geographic Coverage:Illinois (state)
Abstract:A mathematical decision model is developed which determines how a group of waste dischargers should regionalize their treatment facilities and the amount of treatment each facility should provide so that the cost of achieving a specified water quality goal is minimized. The waste dischargers are assumed to lie in a linear configuration along (or on both sides of) the river and several other regionalization restrictions are imposed. Treatment plant and piping costs as functions of wasteflow can be of any form and may include fixed costs. The model is solved by using a dual approach to nonlinear programming and is applied to data from the Delaware Estuary. The results compare favorably with previous regionalization schemes. The model is extended to consider branched systems and the use of bypass piping. Two additional minimum cost, regional wastewater treatment models are developed; one which finds the regional treatment facility pattern when degree of treatment is fixed and another which finds the regional facility pattern and uniform level of treatment for all facilities so that a water quality goal is met.
Issue Date:1974-07
Publisher:University of Illinois at Urbana-Champaign. Water Resources Center
Genre:Report (Grant or Annual)
Type:Text
Language:English
URI:http://hdl.handle.net/2142/90301
Sponsor:U.S. Department of the Interior
U.S. Geological Survey
Rights Information:Copyright 1974 held by Lewis A. Rossman, Jon C. Liebman
Date Available in IDEALS:2016-06-20


This item appears in the following Collection(s)

Item Statistics