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dc.contributor.advisorMichael S Triantafyllou.en_US
dc.contributor.authorWang, Yiou,S.M.Massachusetts Institute of Technology.en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Mechanical Engineering.en_US
dc.date.accessioned2019-09-17T19:49:31Z
dc.date.available2019-09-17T19:49:31Z
dc.date.copyright2019en_US
dc.date.issued2019en_US
dc.identifier.urihttps://hdl.handle.net/1721.1/122239
dc.descriptionThesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 36-38).en_US
dc.description.abstractOcean Acidification is a reduction in pH caused by the absorption of atmospheric CO2. Low pH decreases the availability of calcium carbonate to shell and skeleton secreting marine animals such as mollusks and corals reducing their growth rates and even causing death. Thus, monitoring oceanic conditions has become more and more important, in particular there is a need for extensive measurements of carbonate chemistry parameters over both space and time. This paper presents a low-cost, automated benchtop measuring system for total alkalinity, one of the important parameters for monitoring marine carbonate chemistry. This system addresses the need for a low-cost alkalinity sensing system that can be deployed in great numbers to provide the large data sets needed for to measure and predict the impact of ocean acidification on the marine ecosystem. It is based on a two-point acid titration method. Tests of the prototype have shown that the system gives acceptable results comparable to manual measurements. With hermetic repackaging, the system could be field deployed on platforms such as AUVs or buoys.en_US
dc.description.statementofresponsibilityby Yiou Wang.en_US
dc.format.extent45 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsMIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleAutomated alkalinity sensing systemen_US
dc.typeThesisen_US
dc.description.degreeS.M.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.identifier.oclc1119389014en_US
dc.description.collectionS.M. Massachusetts Institute of Technology, Department of Mechanical Engineeringen_US
dspace.imported2019-09-17T19:49:28Zen_US
mit.thesis.degreeMasteren_US
mit.thesis.departmentMechEen_US


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