2009
DOI: 10.1061/(asce)0733-9496(2009)135:1(23)
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Optimization Model for Integrated Regional Wastewater Systems Planning

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Cited by 33 publications
(14 citation statements)
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“…An example of such models is available in Sousa et al (2002), the first article issued from our research in this area. An improved version of the initial model is described in Cunha et al (2009). In Zeferino et al (2010) this model was extended to a multi-objective framework where cost and water quality objectives are coped with simultaneously.…”
Section: Optimization Modelsmentioning
confidence: 99%
See 2 more Smart Citations
“…An example of such models is available in Sousa et al (2002), the first article issued from our research in this area. An improved version of the initial model is described in Cunha et al (2009). In Zeferino et al (2010) this model was extended to a multi-objective framework where cost and water quality objectives are coped with simultaneously.…”
Section: Optimization Modelsmentioning
confidence: 99%
“…This term represents the feasibility of the water quality parameter by means of a regret for the DO, penalizing in each scenario the river reaches where DO k,s is lower than the respective DO max k;s . It should be noted that when the penalty coefficient q is equal to zero the optimization model becomes equivalent to the deterministic wastewater system planning model presented in Cunha et al (2009).…”
Section: Rom1mentioning
confidence: 99%
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“…This objective function is subjected to different types of constraints (Cunha et al [5]). There are constraints to ensure that the sewer network will be sized according to hydraulic laws and regulations, and constraints to ensure that the treated effluent discharged from each treatment plant will not create environmental damages.…”
Section: Robust Optimization Modelmentioning
confidence: 99%
“…Joksimovic et al (2008 developed decision support software (DSS) for water treatment for reuse with network distribution, in which a GA approach is used for the best selection of customers. Cunha et al (2009) presented an optimisation model for regional wastewater systems planning, and a simulated annealing (SA) algorithm to optimise the wastewater system of a region. Li et al (2009) developed an inexact multistage joint-probabilistic programming (IMJP) method for the water resources management with uncertainties within a multi-stream, multi-reservoir and multi-period context with facility by mixed-integer linear programming (MILP) techniques.…”
Section: Introductionmentioning
confidence: 99%