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dc.contributor.authorChang, Liang-Chengen_US
dc.contributor.authorChu, Hone-Jayen_US
dc.contributor.authorHsiao, Chin-Tsaien_US
dc.date.accessioned2014-12-08T15:13:25Z-
dc.date.available2014-12-08T15:13:25Z-
dc.date.issued2007-09-01en_US
dc.identifier.issn0022-1694en_US
dc.identifier.urihttp://dx.doi.org/10.1016/j.jhydrol.2007.05.030en_US
dc.identifier.urihttp://hdl.handle.net/11536/10375-
dc.description.abstractThis study integrates the genetic algorithm (GA) and constrained differential dynamic programming (CDDP) to design the pump-treat-inject system. The proposed model. considers both the cost of installing wells (fixed cost) and the operating cost of pumping, injection and water treatment. To minimize the total cost white meeting the water quality constraints, the model can compute the optimal number and locations of wells, as welt as the associated optimal pumping and injection schemes. Various numerical cases reveal that the requirement to balance the total volume between pumping and injection can significantly influence the final optimal design. (C) 2007 Elsevier B.V. All rights reserved.en_US
dc.language.isoen_USen_US
dc.subjectoptimal planningen_US
dc.subjectdifferential dynamic programmingen_US
dc.subjectgenetic algorithmen_US
dc.subjectpump-treat-injecten_US
dc.subjectremediationen_US
dc.titleOptimal planning of a dynamic pump-treat-inject groundwater remediation systemen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.jhydrol.2007.05.030en_US
dc.identifier.journalJOURNAL OF HYDROLOGYen_US
dc.citation.volume342en_US
dc.citation.issue3-4en_US
dc.citation.spage295en_US
dc.citation.epage304en_US
dc.contributor.department土木工程學系zh_TW
dc.contributor.departmentDepartment of Civil Engineeringen_US
dc.identifier.wosnumberWOS:000249177200008-
dc.citation.woscount22-
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