Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45377
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dc.contributor.authorGoh, Pricycia Mong Sei.
dc.date.accessioned2011-06-13T03:52:47Z
dc.date.available2011-06-13T03:52:47Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10356/45377
dc.description.abstractWater is a very vital resource in the world. Due to increasing globalisation, much of the water sources in the world have been polluted. In the world today, water quality management is essential in tackling the problem of water pollution. Water quality models were used to determine the degree of pollution in a water body. However, uncertainty is an inevitable property that exists in any systems and is an important factor in decision making process. Thus, it is an important consideration that decision makers have to take in. Water quality models also enables decision makers to judge the level of treatment required for their effluent discharge while meeting the environmental guidelines. In this study, Streeter-Phelps model and conventional non-linear optimization will be adopted to find the lowest cost of treatment subject to several constraints. With the introduction of a case study, the proposed methodology proved to be feasible in predicting the water quality as well as optimizing the cost and efficiency of treatment of different industries in a river segment.en_US
dc.format.extent43 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Environmental engineering::Water treatmenten_US
dc.titleInterval linear programming for water quality managementen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Civil and Environmental Engineeringen_US
dc.description.degreeBachelor of Engineering (Environmental Engineering)en_US
dc.contributor.supervisor2Qin Xiaoshengen_US
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Appears in Collections:CEE Student Reports (FYP/IA/PA/PI)
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