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    <title>DSpace Community:</title>
    <link>https://repository.kopri.re.kr/handle/201206/9423</link>
    <description />
    <pubDate>Sat, 25 Jul 2026 23:08:42 GMT</pubDate>
    <dc:date>2026-07-25T23:08:42Z</dc:date>
    <item>
      <title>A seismic analysis of sub glacial lake D2(Subglacial Lake Cheongsuk) beneath David Glacier, Antarctica</title>
      <link>https://repository.kopri.re.kr/handle/201206/16826</link>
      <description>Title: A seismic analysis of sub glacial lake D2(Subglacial Lake Cheongsuk) beneath David Glacier, Antarctica
Authors: Ju, Hyeon Tae; Kang, Seung-Goo; Choi, Yeonjin; Pyun  Sukjoon; Lee, Min Je; Kwak, Hoje; Kim, KwanSoo; Kim, Yeadong; Lee, Jong Ik
Abstract: Subglacial lakes beneath Antarctic glaciers are pivotal in advancing our understanding of cryosphere dynamics, basal hydrology, and microbial ecosystems. We investigate the internal structure and physical properties of Subglacial Lake D2 (SLD2), which is located beneath David Glacier in East Antarctica, using seismic data acquired during the 2021/22 austral summer. The dataset underwent a comprehensive processing workflow, including noise attenuation, velocity analysis, and prestack time migration. The migrated seismic sections revealed distinct reverse-polarity reflections at the glacier-lake interface; however, reflections from the lake-bed sediment interface were ambiguous, leading to interpretational uncertainty about the presence of a sediment layer. To resolve this interpretational uncertainty, two alternative structural models were established: Model 1 (no sediment) and Model 2 (with a sediment layer). Synthetic seismograms generated by wave-propagation modeling were compared with field data to validate the subglacial lake structure. The results confirmed the water column thickness to be approximately 82 m (Model 1) or approximately 10 m (Model 2), and possible structural scenarios for the subglacial lake were presented. Additionally, discontinuous reflections detected in seismic sections transverse to the ice flow were interpreted as scour-like feature surfaces formed by ice movement. This study identified the basal structure beneath the subglacial lake, which had been challenging to identify with conventional radar surveys, through seismic surveying. In addition, ambiguous signals in the field seismic data were mitigated via quantitative comparison with synthetic data, thereby facilitating interpretation of the underlying structure. Collectively, these findings enhance our understanding of subglacial lake environments and inform the selection of future drilling sites for in situ sampling.</description>
      <pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16826</guid>
      <dc:date>2026-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Synchronous mid-Holocene marine and terrestrial deglaciation in the Ross Sea, Antarctica</title>
      <link>https://repository.kopri.re.kr/handle/201206/16461</link>
      <description>Title: Synchronous mid-Holocene marine and terrestrial deglaciation in the Ross Sea, Antarctica
Authors: Parker  Rebecca L.; Riesselman  Christina R.; Truax  Olivia J.; Jones  Richard S.; Lee, Jae Il; Lee, Min Kyung; Jacobsen  Geraldine; Rosenheim  Brad E.; Subt  Cristina; Zawadzki  Atun; Ginnane  Catherine; Naeher  Sebastian; Dunbar  Gavin; McKay  Robert M.; Levy  Richard; Turnbull  Jocelyn; Yoo, Kyu-Cheul
Abstract: The Ross Ice Shelf buttresses ice draining from both East and West Antarctica and its collapse could accelerate the loss of inland ice sheets, rapidly raising sea level. Documenting the location, timing and rate of past glacial retreat can help reveal processes driving rapid mass loss, informing projections of ice sheet responses to a warming climate. Here, we present a record of mid-Holocene ice retreat from the southwestern Ross Sea using facies succession and paired ramped pyrolysis oxidation C-14/Pb-210 chronology. This record shows rapid ice shelf retreat from 6.9-5.4 cal kyr BP, coeval with thinning of adjacent outlet glaciers. Our findings reconcile earlier discrepancies in terrestrial and marine reconstructions, and indicate that synchronous grounding line retreat from west of Ross Island to the Siple Coast at similar to 7-6.2 cal kyr BP was likely driven by warm-water incursions, a process active in parts of Antarctica today.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16461</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Increased Sea Ice Duration in Moubray Bay, Northwest Ross Sea Linked to Early Holocene Wind Strength</title>
      <link>https://repository.kopri.re.kr/handle/201206/16601</link>
      <description>Title: Increased Sea Ice Duration in Moubray Bay, Northwest Ross Sea Linked to Early Holocene Wind Strength
Authors: Gilmer  Greer; Riesselman  Christina R.; Kim, Sunghan; Yoo, Kyu-Cheul; Lee, Jae Il; Lee, Min Kyung; Ginnane  Catherine E.; Rosenheim  Brad E.; Turnbull  Jocelyn; Parker  Rebecca; Jacobsen  Geraldine; Mckay  Robert; Levy  Richard; Moy  Christopher M.
Abstract: Sea ice in the Ross Sea plays a critical role in the formation of dense water masses, ice sheet stability, and air-sea gas exchange, and also supports unique ecosystems. However, its seasonal and spatial variability makes it challenging to include in model simulations. To address this, new sea ice records that extend beyond the satellite era and include periods of climate change are essential. This new sediment record from Moubray Bay, northwest Ross Sea, reconstructs environmental conditions between similar to 11,300 and similar to 10,900 cal yr BP-a time of rapid retreat of marine-based ice sheets and coastal glaciers in the region. The diatom assemblage is dominated by three taxa: Fragilariopsis curta, Corethron pennatum, and Chaetoceros resting spores. Variations in their relative abundances reveal changes in wind strength, water column structure, and sea ice concentration and duration. Between similar to 11,300 and similar to 11,200 cal yr BP, environmental conditions are characterized by a stabilized water column due to fresh meltwater influx, and weaker winds, which resulted in shorter sea ice duration and reduced winter sea ice concentration. This continued after similar to 11,200 cal yr BP but stronger winds linked to deepening of Amundsen Sea Low-like circulation triggered short-term water column stratification. Sea ice concentration and duration increased after similar to 11,100 cal yr BP driven by cooling of the sea surface by stronger southerly winds. Concurrent changes in early Holocene marine and terrestrial climate records from the Ross Sea indicate a shift in atmospheric circulation during the early Holocene.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16601</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>A Study on the Trends of Deep Learning Applications in Geology</title>
      <link>https://repository.kopri.re.kr/handle/201206/16824</link>
      <description>Title: A Study on the Trends of Deep Learning Applications in Geology
Authors: Young Kyu Park; Seongjun Park; Jaewoo Jung
Abstract: Deep Learning has recently become an important tool for solving problems in geology as Artificial Intelligence&#xD;
(AI). Geological research typically deals with large datasets and complex patterns. Deep learning algorithms applied to&#xD;
these challenges have substantially improved analytical accuracy and efficiency compared to traditional methods. In this&#xD;
study, we introduce development process of Deep Learning algorithms that can be applied in geology (problem definition&#xD;
and topic selection; data collection and refinement; algorithms model design and training; algorithms model optimization;&#xD;
deployment and interpretation). Furthermore, we introduce Deep Learning architectures and their applications in various&#xD;
geological fields, including mineral exploration, satellite image analysis and seismic waveform analysis. Overall, this study&#xD;
highlights the potential of deep learning to serve as a robust tool for understanding and predicting geological phenomena.; 최근 인공지능의 급속한 발전으로 딥러닝 기술은 지질학 분야의 문제 해결을 위한 새로운 연구 도구로부상하고 있다. 특히, 방대한 데이터를 다루며, 복잡한 패턴 분석을 필요로 하는 지질학 연구에 딥러닝 알고리즘을적용함으로써, 분석 정확도와 효율성이 크게 향상되고 있다. 본 연구에서는 딥러닝 알고리즘 개발 과정 (문제 정의및 주제 설정, 데이터 수집 및 전처리, 모델 설계 및 학습, 모델 최적화, 실용화 및 해석)을 중심으로 지질학 분야에서딥러닝 기술을 활용하여 문제를 해결하는 방안에 대해 제시하고, 최신 연구 동향을 고찰해보고자 한다. 또한, 딥러닝 모델의 대표적인 기법인 합성곱 신경망, 순환 신경망, 트랜스포머 등에 대해 소개하고, 광물 탐사 및 광상 예측, 위성영상 기반 해석, 지진파형 분석, 극지방 자료 분석 등 다양한 지질학 분야에서 활용되고 있는 일부 적용 사례를살펴보고자 한다. 이러한 기술의 발전과 더불어, 지질학에서 딥러닝의 활용이 지질 현상을 이해하고 예측하는 새로운 연구 도구로 자리매김할 수 있도록 지속적인 노력이 요구된다.</description>
      <pubDate>Mon, 01 Dec 2025 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://repository.kopri.re.kr/handle/201206/16824</guid>
      <dc:date>2025-12-01T00:00:00Z</dc:date>
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