Automated alkalinity sensing system
Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-38). Ocean Acidification is a reduction in pH caused by the absorption of atmospheric CO2. Low pH decreases the availabi...
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ftmit:oai:dspace.mit.edu:1721.1/122239 2023-06-11T04:15:36+02:00 Automated alkalinity sensing system Wang, Yiou,S.M.Massachusetts Institute of Technology. Michael S Triantafyllou. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering 2019 45 pages application/pdf https://hdl.handle.net/1721.1/122239 eng eng Massachusetts Institute of Technology https://hdl.handle.net/1721.1/122239 1119389014 MIT 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. http://dspace.mit.edu/handle/1721.1/7582 Mechanical Engineering Thesis 2019 ftmit 2023-05-29T08:37:01Z Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-38). Ocean 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. by Yiou Wang. S.M. S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering Thesis Ocean acidification DSpace@MIT (Massachusetts Institute of Technology) |
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English |
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Mechanical Engineering |
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Mechanical Engineering Wang, Yiou,S.M.Massachusetts Institute of Technology. Automated alkalinity sensing system |
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Mechanical Engineering |
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Thesis: S.M., Massachusetts Institute of Technology, Department of Mechanical Engineering, 2019 Cataloged from PDF version of thesis. Includes bibliographical references (pages 36-38). Ocean 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. by Yiou Wang. S.M. S.M. Massachusetts Institute of Technology, Department of Mechanical Engineering |
author2 |
Michael S Triantafyllou. Massachusetts Institute of Technology. Department of Mechanical Engineering. Massachusetts Institute of Technology. Department of Mechanical Engineering |
format |
Thesis |
author |
Wang, Yiou,S.M.Massachusetts Institute of Technology. |
author_facet |
Wang, Yiou,S.M.Massachusetts Institute of Technology. |
author_sort |
Wang, Yiou,S.M.Massachusetts Institute of Technology. |
title |
Automated alkalinity sensing system |
title_short |
Automated alkalinity sensing system |
title_full |
Automated alkalinity sensing system |
title_fullStr |
Automated alkalinity sensing system |
title_full_unstemmed |
Automated alkalinity sensing system |
title_sort |
automated alkalinity sensing system |
publisher |
Massachusetts Institute of Technology |
publishDate |
2019 |
url |
https://hdl.handle.net/1721.1/122239 |
genre |
Ocean acidification |
genre_facet |
Ocean acidification |
op_relation |
https://hdl.handle.net/1721.1/122239 1119389014 |
op_rights |
MIT 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. http://dspace.mit.edu/handle/1721.1/7582 |
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1768372530586845184 |