https://repository.kopri.re.kr/handle/201206/15865 Sun, 19 Apr 2026 15:25:26 GMT 2026-04-19T15:25:26Z https://repository.kopri.re.kr/handle/201206/16386 Title: Determination of Ground Subsidence Around Snow Fences in the Arctic Region Authors: Kim, KwanSoo; Ju, Hyeon Tae; Chi Junhwa; Jung, Ji Young; Nam, Sungjin; Park, Sang-Jong; Dafflon Baptiste; Lee, Joohan; Kim Won-Ki Abstract: In this study, we analyzed the effects of snow cover changes caused by snow fences (SFs) installed in 2017 in the Alaskan tundra to examine ground subsidence. Digital surface model data obtained through LiDAR-based remote sensing in 2019 and 2022, combined with a field survey in 2021, revealed approximately 0.2 m of ground subsidence around the SF. To investigate the relationship between SF-induced snow cover changes and ground subsidence, geophysical methods, electrical resistivity tomography (ERT) and ground-penetrating radar (GPR), were applied in 2023 to analyze subsurface characteristics. The increased snow cover due to the SF-enhanced insulation, delaying the penetration of winter cold into the subsurface. This delay caused subsurface temperatures to decrease more slowly, melting the upper permafrost and increasing the thickness of the active layer. ERT and GPR surveys well delineated the boundary between the active layer and permafrost, confirming that the increased snow cover thickened the active layer. This thickening led to the melting of pore ice, causing water runoff and ground compaction, which resulted in subsidence. The runoff also formed channels flowing eastward over the SF. This study highlights how changes in snow cover can influence active layer properties, leading to localized environmental changes and ground subsidence. Wed, 01 Jan 2025 00:00:00 GMT https://repository.kopri.re.kr/handle/201206/16386 2025-01-01T00:00:00Z https://repository.kopri.re.kr/handle/201206/16274 Title: Changes in Vegetation Distribution around the King Sejong Station in Antarctica: A Comprehensive Analysis of Time-Lapse Electrical Resistivity Data, Meteorological Data, and Vegetation Data Authors: Kim, KwanSoo; Lee E.; Ju, Hyeon Tae; Lee, Joohan; Kim, Won-Ki Abstract: The impact of buildings around the King Sejong Station (KSS), South Korea’s first scientific station in Antarctica, has locally altered snowfall accumulation and vegetation distribution. Areas with high snowfall accumulation exhibited sparse vegetation, whereas areas with low snowfall showed distinct vegetation. This study conducted a comprehensive analysis using various data sources to understand the causes of changes in vegetation distribution. Meteorological data, including air temperature, soil temperature, soil moisture, and wind, were analyzed to determine the impact of station buildings on snow cover changes. The changes in vegetation distribution were more clearly visible through results of measured Normalized Difference Vegetation Index. Additionally, time-lapse electrical resistivity data were collected throughout 2020 to analyze variations in the subsurface electrical resistivity distribution. Electrical resistivity surveys utilized both dipole？dipole and Wenner arrays to gather data, with subsurface electrical resistivity information obtained through inversion process. The active layer, which is characterized by low electrical resistivity and is conducive to vegetation growth, is distributed in the upper layers and changes over time, only in vegetated area. In contrast, the development of the active layer was not observed in nonvegetated area. In conclusion, the time-lapse electrical resistivity data effectively reveal the temporal changes in the distribution of the active layer in the study area. When the electrical resistivity data were interpreted in conjunction with meteorological data, it provided a good understanding of the causes of changes in the distribution of vegetation around the KSS. Copyright ⓒ 2024. Kwansoo Kim et al. Exclusive Licensee GeoScienceWorld. Distributed under a Creative Commons Attribution License (CC BY 4.0). Fri, 01 Nov 2024 00:00:00 GMT https://repository.kopri.re.kr/handle/201206/16274 2024-11-01T00:00:00Z https://repository.kopri.re.kr/handle/201206/16399 Title: Facile Approach for Designing Icephobic Coatings Using Polymers/Silica Nanoparticle Composites via Self-Formation of Superhydrophobic Surfaces Authors: Aravind Hindurao Patil; Trinh Ngoc Le; Do, Hackwon; Gaiji Houda; Kang Youngho; Lee, Joohan; Chung, Changhyun; Lee Han-Bo-Ram Abstract: Ice accumulation and proliferation adversely affect the activities of various residential, commercial, and polar research stations. Although significant efforts are devoted to preventing ice adhesion to various surfaces by developing various anti-icing coatings, it is still necessary to enhance overall performance and durability. Herein, a facile approach is proposed for fabricating an icephobic coating on an aluminum 6061 (Al) substrate, by coating a poly(dimethylsiloxane) (PDMS)/ poly(tetrafluoroethylene) (PTFE) composite through a spin-coating method, followed by sprinkling of SiO2 nanoparticles (NPs). Crosslinker/binder-free adhesion between PDMS and PTFE is achieved by utilizing secondary-induced electrostatic dipole-dipole interactions, these interactions are supported by density functional theory (DFT) calculations as well as structural studies. Moreover, the controlled addition of PTFE powder to PDMS improves the water-repellency, mechanical strength, and surface roughness of the coating. The self-formation of the superhydrophobic state of the PDMS/PTFE composite is achieved by sprinkling SiO2 NPs. The sprinkled SiO2 NPs are protected by the PDMS/PTFE composite, which serves as a stress concentrator to achieve low ice adhesion. Furthermore, freezing at low temperatures can be delayed by controlling the heat flow rate, interfacial contact area, and surface texture. This indicates the feasibility of the proposed method for various promising anti-icing applications. Mon, 01 Jan 2024 00:00:00 GMT https://repository.kopri.re.kr/handle/201206/16399 2024-01-01T00:00:00Z