Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans

Department of Urban and Environmental Engineering (Environmental Science and Engineering) Seawater covers more than 70 percent of surface of the Earth and contains dissolved organic matters (DOM) and microorganisms. Sea is one of the important sources of organic and genetic matters of the atmosphere...

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Main Author: Jang, Jiyi
Other Authors: Cho, Kyung Hwa
Format: Doctoral or Postdoctoral Thesis
Language:English
Published: Ulsan National Institute of Science and Technology 2022
Subjects:
Online Access:https://scholarworks.unist.ac.kr/handle/201301/57425
http://unist.dcollection.net/common/orgView/200000603015
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spelling ftuisanist:oai:scholarworks.unist.ac.kr:201301/57425 2023-05-15T18:07:34+02:00 Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans Jang, Jiyi Cho, Kyung Hwa 2022-02 https://scholarworks.unist.ac.kr/handle/201301/57425 http://unist.dcollection.net/common/orgView/200000603015 ENG eng Ulsan National Institute of Science and Technology 200000603015 http://unist.dcollection.net/common/orgView/200000603015 https://scholarworks.unist.ac.kr/handle/201301/57425 Doctoral thesis 2022 ftuisanist 2022-10-21T00:30:25Z Department of Urban and Environmental Engineering (Environmental Science and Engineering) Seawater covers more than 70 percent of surface of the Earth and contains dissolved organic matters (DOM) and microorganisms. Sea is one of the important sources of organic and genetic matters of the atmosphere, which can consequently affect climate change and global warming. Accordingly, big data on the haracteristics and origins of organic and genetic matters in seawaters and atmosphere allows us to understand the changes in ecosystem and climate in the long term. Moreover, the application of deep learning technique is expected o be promising in predicting the occurrence of pollutants in the environment including seawaters. Therefore, in this study, I aimed 1) to analyze big data on the characteristics and origins of organic matter in seawaters, 2) to investigate big data on the characteristics and origins of genetic matter in seawaters, and 3) to develop deep learning techniques and predict the occurrence of the genetic matters in seawaters. First, to identify latitudinal characteristics of DOM in seawater, seawaters were collected along a transect from the western Pacific Ocean (36??N) to the Southern Ocean (74??S). Based on optical properties of DOM in seawaters, it seems that DOM were affected by terrestrial sources in the mid-latitude, while microbiologically produced in the low-latitude and produced within the ocean in the high-latitude. DOM characterization at molecular-level by Orbitrap-MS showed similar result to optical properties despite dominant lignin-like component in overall stations. In addition, the DOM characteristics in aerosol were analyzed with Orbitrap-MS, indicating that lignin-like component affects dominantly from the ocean to the atmosphere probably due to hydrophobicity of lignin. On the other hand, lipid-like component was dominant in aerosol collected from Ross Sea (RS) in the Southern Ocean where sea ice exists. These DOM characteristics in aerosol of RS were related to those of sea ice, ... Doctoral or Postdoctoral Thesis Ross Sea Sea ice Southern Ocean ScholarWorks@UNIST (Ulsan National Institute of Science and Technology) Pacific Ross Sea Southern Ocean
institution Open Polar
collection ScholarWorks@UNIST (Ulsan National Institute of Science and Technology)
op_collection_id ftuisanist
language English
description Department of Urban and Environmental Engineering (Environmental Science and Engineering) Seawater covers more than 70 percent of surface of the Earth and contains dissolved organic matters (DOM) and microorganisms. Sea is one of the important sources of organic and genetic matters of the atmosphere, which can consequently affect climate change and global warming. Accordingly, big data on the haracteristics and origins of organic and genetic matters in seawaters and atmosphere allows us to understand the changes in ecosystem and climate in the long term. Moreover, the application of deep learning technique is expected o be promising in predicting the occurrence of pollutants in the environment including seawaters. Therefore, in this study, I aimed 1) to analyze big data on the characteristics and origins of organic matter in seawaters, 2) to investigate big data on the characteristics and origins of genetic matter in seawaters, and 3) to develop deep learning techniques and predict the occurrence of the genetic matters in seawaters. First, to identify latitudinal characteristics of DOM in seawater, seawaters were collected along a transect from the western Pacific Ocean (36??N) to the Southern Ocean (74??S). Based on optical properties of DOM in seawaters, it seems that DOM were affected by terrestrial sources in the mid-latitude, while microbiologically produced in the low-latitude and produced within the ocean in the high-latitude. DOM characterization at molecular-level by Orbitrap-MS showed similar result to optical properties despite dominant lignin-like component in overall stations. In addition, the DOM characteristics in aerosol were analyzed with Orbitrap-MS, indicating that lignin-like component affects dominantly from the ocean to the atmosphere probably due to hydrophobicity of lignin. On the other hand, lipid-like component was dominant in aerosol collected from Ross Sea (RS) in the Southern Ocean where sea ice exists. These DOM characteristics in aerosol of RS were related to those of sea ice, ...
author2 Cho, Kyung Hwa
format Doctoral or Postdoctoral Thesis
author Jang, Jiyi
spellingShingle Jang, Jiyi
Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
author_facet Jang, Jiyi
author_sort Jang, Jiyi
title Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
title_short Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
title_full Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
title_fullStr Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
title_full_unstemmed Monitoring ocean-atmosphere interactions: dissolved organic matter (DOM), bacteria, and antibiotic-resistant genes (ARGs) in the Pacific and Southern Oceans
title_sort monitoring ocean-atmosphere interactions: dissolved organic matter (dom), bacteria, and antibiotic-resistant genes (args) in the pacific and southern oceans
publisher Ulsan National Institute of Science and Technology
publishDate 2022
url https://scholarworks.unist.ac.kr/handle/201301/57425
http://unist.dcollection.net/common/orgView/200000603015
geographic Pacific
Ross Sea
Southern Ocean
geographic_facet Pacific
Ross Sea
Southern Ocean
genre Ross Sea
Sea ice
Southern Ocean
genre_facet Ross Sea
Sea ice
Southern Ocean
op_relation 200000603015
http://unist.dcollection.net/common/orgView/200000603015
https://scholarworks.unist.ac.kr/handle/201301/57425
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