Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales
Thesis: Ph. D., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), 2017.
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Format: | Thesis |
Language: | eng |
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Massachusetts Institute of Technology
2017
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Online Access: | http://hdl.handle.net/1721.1/108900 |
_version_ | 1811097690386202624 |
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author | Chu, Sophie Ning-Shin |
author2 | Zhaohui Aleck Wang. |
author_facet | Zhaohui Aleck Wang. Chu, Sophie Ning-Shin |
author_sort | Chu, Sophie Ning-Shin |
collection | MIT |
description | Thesis: Ph. D., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), 2017. |
first_indexed | 2024-09-23T17:03:22Z |
format | Thesis |
id | mit-1721.1/108900 |
institution | Massachusetts Institute of Technology |
language | eng |
last_indexed | 2024-09-23T17:03:22Z |
publishDate | 2017 |
publisher | Massachusetts Institute of Technology |
record_format | dspace |
spelling | mit-1721.1/1089002019-04-10T08:57:57Z Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales Chu, Sophie Ning-Shin Zhaohui Aleck Wang. Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering. Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences. Woods Hole Oceanographic Institution. Joint Program in Oceanography/Applied Ocean Science and Engineering. Earth, Atmospheric, and Planetary Sciences. Woods Hole Oceanographic Institution. Carbon Climatology Metabolism Salt marshes Carbon dioxide Thesis: Ph. D., Joint Program in Oceanography/Applied Ocean Science and Engineering (Massachusetts Institute of Technology, Department of Earth, Atmospheric, and Planetary Sciences; and the Woods Hole Oceanographic Institution), 2017. Cataloged from PDF version of thesis. Includes bibliographical references. The marine carbon cycle plays an important role in regulating Earth's climate. The vastness of the open ocean and the large variability in the coastal ocean provide obstacles to accurately quantify storage and transport of inorganic carbon within marine ecosystems and between marine and other earth systems. Thus far, the open ocean has been the only true net sink of anthropogenic carbon dioxide (Canthro) emissions. However, ocean storage of Canthro is not uniformly distributed. Changes in water chemistry in the Northeast Pacific were quantified to estimate the amount of Canthro stored in this region over the last decade. This additional Canthro was found to cause acidification and aragonite saturation horizon shoaling at rates towards the higher end of those found in Pacific and Atlantic Ocean basins, making the Northeast Pacific one of the most sensitive regions to the invasion of anthropogenic carbon dioxide. Due to large variability in biogeochemical signals in coastal oceans, it is challenging to accurately assess carbon fluxes across different boundaries, such as tidal exchange between coastal wetlands and coastal oceans. Coastal salt marshes have been suggested to be a large net CO₂ sink, thus designated as a type of "blue carbon." However, accurate and dynamic estimates of carbon fluxes to and from tidal marshes are still premature, particularly carbon fluxes from marshes to the coastal ocean via tidal exchange, often referred to as marsh lateral fluxes. In this thesis, lateral total alkalinity (TA) and dissolved inorganic carbon (DIC) export fluxes were realistically quantified using high frequency time-series, in situ data. High-resolution fluxes permitted a closer look at how marsh generated TA and DIC are being exported over diurnal, spring-neap, and seasonal scales. I investigated the best way to capture variability of marsh exports via traditional bottle sampling and assessed uncertainties associated with different sampling strategies. Marsh TA and DIC exports significantly modified buffering capacity of coastal waters. This work contains the first realistic estimate of TA exports from a tidal salt marsh. Accurate estimates of DIC and TA fluxes indicate the significance of salt marshes to the coastal carbon and alkalinity budgets. by Sophie Ning-Shin Chu. Ph. D. 2017-05-11T19:54:37Z 2017-05-11T19:54:37Z 2017 2017 Thesis http://hdl.handle.net/1721.1/108900 986241007 eng 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 163 pages application/pdf Massachusetts Institute of Technology |
spellingShingle | Joint Program in Oceanography/Applied Ocean Science and Engineering. Earth, Atmospheric, and Planetary Sciences. Woods Hole Oceanographic Institution. Carbon Climatology Metabolism Salt marshes Carbon dioxide Chu, Sophie Ning-Shin Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title | Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title_full | Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title_fullStr | Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title_full_unstemmed | Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title_short | Capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
title_sort | capturing dynamics of inorganic carbon fluxes from diurnal to decadal timescales |
topic | Joint Program in Oceanography/Applied Ocean Science and Engineering. Earth, Atmospheric, and Planetary Sciences. Woods Hole Oceanographic Institution. Carbon Climatology Metabolism Salt marshes Carbon dioxide |
url | http://hdl.handle.net/1721.1/108900 |
work_keys_str_mv | AT chusophieningshin capturingdynamicsofinorganiccarbonfluxesfromdiurnaltodecadaltimescales |