Least-cost analysis for the Houston ship channel
dc.acquisition-src | Downloaded from-Engineering Village 2 | en_US |
dc.call-no | en_US | |
dc.contract-no | en_US | |
dc.contributor.author | HAYS JR AJ | en_US |
dc.contributor.author | GLOYNA EF | en_US |
dc.contributor.other | en_US | |
dc.date.accessioned | 2010-02-15T17:16:02Z | |
dc.date.available | 2010-02-15T17:16:02Z | |
dc.date.issued | 1969 | en_US |
dc.degree | en_US | |
dc.description | 269-296 | en_US |
dc.description-other | en_US | |
dc.description.abstract | The analysis showed that comprehensive planning can be enhanced through the discriminate use of optimization techniques, as expected. Computational results indicate significant reduction in waste treatment costs for the Upper Houston Ship Channel can be obtained through the use of systems analysis and optimization techniques. Resu%lting savings vary, depending on the prevailing estuarine conditions and the dissolved oxy%gen (DO) levels required for water quality improvement during critical summer conditions. savings are inversely related to the dissolved oxygen improvements required. As DO jequirements are increased beyond a '%'critical'%' value, the least-costs incurred in obtaining these requirements show a sharp increase. This break-point feature of the results emphasizes the fact that high water quality levels are purchased at premium prices and should be considered in comprehensive planning for water resources management. Results showed that nonlinear programming can be successfully applied to least-cost estuarine water quality problems, a unique feature of the research | en_US |
dc.description.uri | http://gbic.tamug.edu/request.htm | en_US |
dc.history | en_US | |
dc.identifier.uri | http://hdl.handle.net/1969.3/23294 | |
dc.latitude | en_US | |
dc.location | en_US | |
dc.longitude | en_US | |
dc.notes | Compilation and indexing terms, Copyright 2004 Elsevier Engineering Information, Inc | en_US |
dc.place | en_US | |
dc.publisher | en_US | |
dc.relation.ispartofseries | 50889.00 | en_US |
dc.relation.uri | en_US | |
dc.scale | en_US | |
dc.series | en_US | |
dc.subject | COMPUTER PROGRAMMING | en_US |
dc.subject | Costs | en_US |
dc.subject | Management | en_US |
dc.subject | MATHEMATICAL INSTRUMENTS | en_US |
dc.subject | Optimization | en_US |
dc.subject | Oxygen | en_US |
dc.subject | Planning | en_US |
dc.subject | Ports and harbors | en_US |
dc.subject | REFUSE DISPOSAL | en_US |
dc.subject | SYSTEMS ANALYSIS | en_US |
dc.subject | Water | en_US |
dc.subject | Water quality | en_US |
dc.subject | Water resources | en_US |
dc.title | Least-cost analysis for the Houston ship channel | en_US |
dc.type | Journal | en_US |
dc.university | en_US | |
dc.vol-issue | () | en_US |