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    <title>DSpace Collection:</title>
    <link>https://repository.kopri.re.kr/handle/201206/15864</link>
    <description />
    <pubDate>Fri, 17 Apr 2026 01:46:13 GMT</pubDate>
    <dc:date>2026-04-17T01:46:13Z</dc:date>
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      <title>Estimation of geoacoustic parameters and source range using airgun sounds in the East Siberian Sea, Arctic Ocean</title>
      <link>https://repository.kopri.re.kr/handle/201206/16348</link>
      <description>Title: Estimation of geoacoustic parameters and source range using airgun sounds in the East Siberian Sea, Arctic Ocean
Authors: Lee  Dae Hyeok; Han  Dong-Gyun; Choi  Jee Woong; Son, Wuju; Yang, Eun Jin; La, Hyoung Sul; Tang  Dajun
Abstract: Dispersion is a representative property of low-frequency sound propagation over long distances in shallow-water waveguides, making dispersion curves valuable for geoacoustic inversion. This study focuses on estimating the geoacoustic parameters using the dispersion curves extracted from airgun sounds received in the East Siberian Sea. The seismic survey was conducted in September 2019 by the icebreaking research vessel R/V Araon, operated by the Korea Polar Research Institute. A single hydrophone was moored at the East Siberian Shelf, characterized by nearly range-independent shallow water (&lt;70 m) with a hard bottom. In the spectrogram of the received sounds, the dispersion curves of the first two modes were clearly observed. Utilizing a combination of warping transform and wavelet synchrosqueezing transform these two modes were separated. Then, the geoacoustic parameters, such as sound speed and density in the sediment layer, were estimated by comparing the two modal curves extracted at a source-receiver distance of approximately 18.6 km with the predictions obtained by the KRAKEN normal-mode propagation model. Subsequently, the distances between the airgun and the receiver system in the 18.6 to 121.5 km range were estimated through the comparison between the measured modal curves and the model replicas predicted using the estimated geoacoustic parameters.</description>
      <pubDate>Mon, 01 Apr 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16348</guid>
      <dc:date>2024-04-01T00:00:00Z</dc:date>
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    <item>
      <title>Characterization of pelagic communities in the Pacific sector of the Arctic Ocean using a broadband acoustic system, net samplers, and optical instruments</title>
      <link>https://repository.kopri.re.kr/handle/201206/16271</link>
      <description>Title: Characterization of pelagic communities in the Pacific sector of the Arctic Ocean using a broadband acoustic system, net samplers, and optical instruments
Authors: Kang  Myounghee; Adrianus  Aldwin; Cho, Kyoung-Ho; Kim, Jee-Hoon; Son, Wuju; Yoo, Jaeill; Yang, Eun Jin; La, Hyoung Sul
Abstract: Rising Arctic temperatures are causing substantial declines in sea ice, altering ice retreat and formation in the Pacific Arctic and impacting marine communities. Despite the significant challenges facing the Pacific Arctic, there are still gaps in our understanding of the environmental impacts on pelagic communities, particularly sound scattering layers (SSLs), and their distributions in the southern Chukchi Sea (SCS), northern Chukchi Sea (NCS), and East Siberian Sea (ESS). This study utilized a wideband autonomous transceiver, net samplers, and optical instruments to explore SSLs in the Pacific Arctic, detailing their relationships with hydrographic properties. The findings indicated a greater vertical distribution of pelagic communities in the SCS than in the NCS and ESS. Significant differences in frequency spectra patterns were observed between the SCS and both the NCS and the ESS, though not between the NCS and the ESS. The correlations between the broadband acoustic and hydrographic values were generally weak to moderate. Elevated acoustic values in the SCS were linked to higher water temperature, dissolved oxygen, and chlorophyll and lower salinity. This study also revealed the behavioral properties of individual pelagic animals and identified Ctenophores and Copepods as the most abundant classes based on camera images and net samples. This research offers crucial insights into the distribution and interactions of pelagic communities with environmental factors, laying the groundwork for understanding climate change impacts. Additionally, this paper presents the first findings of frequency spectra from a broadband system in the Arctic Ocean.</description>
      <pubDate>Fri, 01 Mar 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16271</guid>
      <dc:date>2024-03-01T00:00:00Z</dc:date>
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    <item>
      <title>Revealing the seasonal cycles of Arctic phytoplankton: insights from year-round chlorophyll monitoring</title>
      <link>https://repository.kopri.re.kr/handle/201206/16214</link>
      <description>Title: Revealing the seasonal cycles of Arctic phytoplankton: insights from year-round chlorophyll monitoring
Authors: Ko, Eunho; Park, Jisoo; Cho, Kyoung-Ho; Yoo, Jaeill; Moon, Jung Kuk; Yang, Eun Jin; Yang  Eun Jin
Abstract: Rapid Arctic Ocean warming has caused severe sea ice decline, impacting light distribution, phytoplankton blooms, and primary production. We investigated Arctic phytoplankton bloom timing using continuous chlorophyll-a fluorescence data obtained from three Korea Arctic Mooring Systems (KAMSs) deployed north of the East Siberian Sea (KAMS1), north of the Chukchi Sea (KAMS2), and the middle of the Northwind Ridge (KAMS4). Our findings revealed that the bloom initiation times were June 4 (+/- 28 d) in KAMS1, June 24 in KAMS2, and May 21 (+/- 6 d) in KAMS4, when the sea ice concentration (SIC) was &gt;90% and the ice thickness was 1-2 m, indicating that the under-ice phytoplankton blooms (UIBs) developed 1-2 months before the sea ice retreated (mid-July, when SIC was &lt;80%). Peak bloom and termination times were consistently observed in early August and mid-October, respectively. The average phytoplankton bloom lasted for approximately four months, longer than the open water periods at the mooring sites. However, the timing of the phytoplankton blooms from the biogeochemical model-based reconstructions was, on average, 6-10 weeks later than that deduced from the observed data. Furthermore, the maximum chlorophyll-a concentration observed during the bloom peak was approximately ten-times higher than that indicated by the biogeochemical model-based reconstructions (1.81 vs. 0.17 mg (-3)). The differences in chlorophyll-a concentrations and bloom timings indicate that biogeochemical models remain insufficient for simulating the phytoplankton dynamics of the Arctic Ocean, such as UIBs and the subsurface chlorophyll maximum layer. Based on the continuously observed chlorophyll-a concentrations, we gained a precise understanding of the seasonal cycles of Arctic phytoplankton, including UIBs. These valuable data will contribute to improving the accuracy of biogeochemical models of the Arctic Ocean.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16214</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Near surface oxidation of elementalmercury leads to mercury exposure in the Arctic Ocean biota</title>
      <link>https://repository.kopri.re.kr/handle/201206/16183</link>
      <description>Title: Near surface oxidation of elementalmercury leads to mercury exposure in the Arctic Ocean biota
Authors: Lim, Seung Hyeon; Kim, Younggwang; Laura C. Motta; Yang, Eun Jin; Rhee, Tae Siek; Hong, Jong Kuk; Han, Seunghee; Kwon, Sae Yun
Abstract: Atmospheric mercury (Hg(0), Hg(II)) and riverine exported Hg (Hg(II)) are proposed as important Hg sources to the Arctic Ocean. As plankton cannot passively uptake Hg(0), gaseous Hg(0) has to be oxidized to be bioavailable. Here, wemeasured Hg isotope ratios in zooplankton, Arctic cod, total gaseous Hg, sediment, seawater, and snowpack fromthe Bering Strait, the Chukchi Sea, and the Beaufort Sea. The Δ200Hg, used to differentiate between Hg(0) and Hg(II), shows, on average, 70% of Hg(0) in all biota and differs with seawater Δ200Hg (Hg(II)). Since Δ200Hg anomalies occur via tropospheric Hg(0) oxidation, we propose that near-surface Hg(0) oxidation via terrestrial vegetation, coastally evaded halogens, and sea salt aerosols, which preserve Δ200Hg of Hg(0) upon oxidation, supply bioavailable Hg(II) pools in seawater. Our study highlights sources and pathways in which Hg(0) poses potential ecological risks to the Arctic Ocean biota.</description>
      <pubDate>Mon, 01 Jan 2024 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16183</guid>
      <dc:date>2024-01-01T00:00:00Z</dc:date>
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