• Journal of The Geomorphological Association of Korea
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• v.27 no.4
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• pp.53-70
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• 2020

Silgyeong sansuhwa (Realistic landscape paintings) are drawn in Korea since 17th century. It has characteristics of more realistic description of landscape than painting from previous periods. Kim Hong Do's 'Haedong Myeongsan docheop (The album of paintings of famous mountains in Korea)' has been recognized as fine example of realistic description of geomorphic landscapes. Kim Hong Do and Kim Eung hwan did official travel to Gwandong and Geumgangsan area by order of King Jeongjo in 1788. As a result of that travel they draw about 100 piece of landscape painting. About 60 pieces of the paintings are still remaining. These are open to public by Korea National Museum in 1996. 14 pieces of painting, Daegwanryeong and Gangneung, Gyeongpo-dae, Hohae-jeong, Gahak-jeong, Cheonggan-jeong, Mun-am, Mangyang-jeong, Wolsong-jeong, Neungpa-dae, Naksan-sa, Mureung-gye, Gyejo-gul, and Hyeonjong-am, are analysed in this study. Coastal depositional landforms, like lagoon, sand beach and spit or barriers, erosional forms, like sea stack, sea cliff and sea cave, depicted in the paintings are analysed. In addition, structural landforms, colluvial landform and bedrock incision form by the running water in mountain area were analysed and weathered forms of granite and excursion to karst cave also discussed. It is found that sea arch in the printing destroyed since 1788, though exact position and reason is still unknown. There are strong need for discovery and identification of geomorphic landscape resources, for applied geomorphological studies and for prepare educational materials for non-face-to-face education. It also be emphasized that it can be used of the course work materials for future education using augmented reality and virtual reality technology.

• Geomechanics and Engineering
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• v.25 no.1
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• pp.59-73
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• 2021

There frequently exists inadequacy regarding the number of boreholes installed along tunnel alignment. While geophysical imaging techniques are available for pre-tunnelling geological characterization, they aim to detect specific object (e.g., water body and karst cave). There remains great motivation for the industry to develop a real-time identification technology relating complex geological conditions with the existing tunnelling parameters. This study explores the potential for the use of machine learning-based data driven approaches to identify the change in geology during tunnel excavation. Further, the feasibility for machine learning-based anomaly detection approaches to detect the development of clayey clogging is also assessed. The results of an application of the machine learning-based approaches to Xi'an Metro line 4 are presented in this paper where two tunnels buried in the water-rich sandy soils at depths of 12-14 m are excavated using a 6.288 m diameter EPB shield machine. A reasonable agreement with the measurements verifies their applicability towards widening the application horizon of machine learning-based approaches.

• The Journal of Engineering Geology
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• v.26 no.1
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• pp.63-70
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• 2016

The aim of this study is the safety and an accident prevention in limestone terrain by the underground tunneling. The geology of the study area consists of a Paleozoic sedimentary sequence dominated by limestone, sandstone, shale, and carbonaceous shale. The sequence gently dips to the northeast but the joint contains steep with variable trend. A significant fracture zone is developed in the limestone and shale beds, sub-parallel to bedding, and follows in part the limestone-sandstone contact. Monitoring of groundwater levels in the area shows marked fluctuations in the water table, which repeatedly rose to a level of -4 m before sinking to -15 m. These cycles occurred in mid-May, 2007 and in early and middle June. The data indicate that these fluctuations were unrelated to rainfall that occurred during the study period. We infer that the fluctuations were associated with the development of underground karstic networks along the deep fracture zone, and overlying ground subsidence is likely related to the rapid sinking of groundwater and the associated strong downward suction force.