2008
DOI: 10.1007/s11269-008-9294-0
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Abstract: Water quality management is complicated with a variety of uncertainties and nonlinearities. This leads to difficulties in formulating and solving the resulting inexact nonlinear optimization problems. In this study, an inexact chanceconstrained quadratic programming (ICCQP) model was developed for stream water quality management. A multi-segment stream water quality (MSWQ) simulation model was provided for establishing the relationship between environmental responses and pollution-control actions. The relation… Show more

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Cited by 55 publications
(14 citation statements)
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“…It could also be coupled with other optimization methodologies to handle various types of uncertainties. [32][33][34][35][36][37] However, a GASO framework also has the following limitations: (1) the solution process may be time-consuming if the number of realizations for Monte Carlo simulation for checking model feasibility becomes too large; (2) the GA searching may be trapped in local optimality; and (3) because the probability of meeting constraints is estimated through statistical analysis, this would unavoidably bring errors to the system. Further studies are desired to mitigate these limitations.…”
Section: Discussionmentioning
confidence: 99%
“…It could also be coupled with other optimization methodologies to handle various types of uncertainties. [32][33][34][35][36][37] However, a GASO framework also has the following limitations: (1) the solution process may be time-consuming if the number of realizations for Monte Carlo simulation for checking model feasibility becomes too large; (2) the GA searching may be trapped in local optimality; and (3) because the probability of meeting constraints is estimated through statistical analysis, this would unavoidably bring errors to the system. Further studies are desired to mitigate these limitations.…”
Section: Discussionmentioning
confidence: 99%
“…The risk assessment of river water pollution problem considered here is adapted from Qin and Huang (2009). A river section, with a length of about 25 km, receives wastewater discharged from six industrial point sources, including a leatheroid plant, a hospital, a paper mill, a waste water treatment plant, a textile plant, and a chemical plant.…”
Section: River Water Pollution Problemmentioning
confidence: 99%
“…The related relations should be derived based on equations of mass balance, flow continuity, and BOD-DO equilibrium under a steady-state flow condition. Detailed description of the related equations can be referred to Qin and Huang (2009). The source intensity data is shown in Fig.…”
Section: River Water Pollution Problemmentioning
confidence: 99%
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“…In the past decades, a great many efforts were undertaken in addressing uncertainties in water quality management through stochastic programming approaches (e.g., dynamical programming, chance-constrained programming, and recourse model) (Anderson et al 2000;Kentel and Aral 2004;Maqsood et al 2005;Qin and Huang 2009;Huang et al 2010;Sivakumar and Elango 2010). For example, Fujiwara et al (1988) proposed a chance-constrained programming method for identifying optimal waste removal strategies that could mitigate the impacts of the waste discharges on the dissolved oxygen (DO) concentration in a water body, where probability of violating the DO deficit standard was investigated.…”
Section: Introductionmentioning
confidence: 99%