• Economic and Environmental Geology
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• v.50 no.2
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• pp.145-157
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• 2017

Because of Recent intensive rainfall, nationally landslides and slope failure phenomenon has been frequently occur. Providing proposed-measures to the natural disasters that occur in these localities and the slope, must be derived ground of strength parameters(shear strength) as a design input data. However, it is such as extra deforestation and a lot of economic costs in order to make the access to the current area and the slopes ground survey is required. Thus, by small dynamic cone penetration test machine using the human to carry in the field, it is possible to easily measure the characteristics and strength constant of the ground of more than one region. In this study through researching analysis of the domestic and foreign small dynamic cone penetration test method, it has proposed a cone material and test methods suitable for the country. Cone penetration test Nc in the field has comparated with analysis of the value and the standard penetration test N value. And, in addition to this, direct shear test and borehole shear test were performed by depth, bedrock, and soil type and passing #200 and the correlation of the Nc value. In particular, in the present study, for the sandy soil that has distict distribute in mountain, it is proposed relation of shear strength corresponding to the Nc value (cohesion and internal friction angle) in order to calculate such effective ground shear strength.

• Journal of Korea Water Resources Association
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• v.54 no.2
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• pp.81-91
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• 2021

Synthetic Apreture Radar (SAR) is attracting attentions with its possibility of producing high resolution data that can be used for soil moisture estimation. High resolution soil moisture data enables more specific observation of soil moisture than existing soil moisture products from other satellites. It can also be used for studies of wildfire, landslide, and flood. The SAR based soil moisture estimation should be conducted considering vegetation, which affects backscattering signals from the SAR sensor. In this study, a SAR based soil moisture estimation at regions covered with various vegetation types on the middle area of Korea (Cropland, Grassland, Forest) is conducted. The representative backscattering model, Water Cloud Model (WCM) is used for soil moisture estimation over vegetated areas. Radar Vegetation Index (RVI) and in-situ soil moisture data are used as input factors for the model. Total 6 study areas are selected for 3 vegetation types according to land cover classification with 2 sites per each vegetation type. Soil moisture evaluation result shows that the accuracy of each site stands out in the order of grassland, forest, and cropland. Forested area shows correlation coefficient value higher than 0.5 even with the most dense vegetation, while cropland shows correlation coefficient value lower than 0.3. The proper vegetation and soil moisture conditions for SAR based soil moisture estimation are suggested through the results of the study. Future study, which utilizes additional ancillary vegetation data (vegetation height, vegetation type) is thought to be necessary.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1914-1918
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• 2008

우리나라에서 발생하고 있는 사면재해 중 대부분이 침투량 증가에 의한 지하수위 상승의 기후적 요소가 가장 크다고 할 수 있다. 하지만 우리나라의 산지나 비탈면의 구성은 암반과 토사층의 복합사면이 많으며 이러한 복합사면은 단층으로 구성된 사면보다 붕괴가 많이 발생하고 있다. 또한 도로, 철도, 택지 개발 등의 인위적인 개발이 증가함에 따라 과거에 비해 다양한 크기의 사면붕괴가 증가하고 있는 실정이다. 이렇듯 우리나라의 사면피해는 각각의 요소가 복합적이고, 동시다발적으로 발생할 가능성이 큰 특성을 지니고 있다. 본 연구에서는 이러한 요소들을 적용하여 강우량에 따른 침투량을 산정하고 이에 따른 지하수위를 사면 규모별로 산정하였는데 규모가 큰 단면일수록 사면의 경사에 따른 지하수위 상승의 차이가 크게 발생함을 알 수 있다. 이러한 분석을 바탕으로 과거보다 다양해지고 있는 사면붕괴에 대해 대비하고자 한다.

• Proceedings of the KGS Conference
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• 2003.05a
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• pp.93-97
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• 2003

북한은 70년대 이후부터 부족한 식량문제 해결을 위해 구릉이나 사면경사가 16$^{\circ}$ 이상인 산지사면까지 개간하여 다락밭으로 이용하는 것으로 알려져 있다. 그렇지만 경사지 개간에 따른 농경지 확대에도 불구하고 북한의 식량문제는 농업에 대한 투자 소홀, 불리한 지형과 기상조건, 생산의욕 상실 등이 주된 원인으로 알려져 있다(김성훈, 1992;권오홍, 1999; 부경생, 2001). 특히, 90년대에 발생한 자연재해 1993년의 냉해, 1994년 우박피해, 1995, 1996년 홍수 및 1997년의 가뭄 등은 북한의 경제와 식량수급 문제를 더욱 어렵게 하였다. (중략)

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.706-706
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• 2012

최근 세계적으로 홍수, 가뭄, 열파 등 기상재해가 빈발하여 소중한 생명과 막대한 재산피해가 발생하고 있으며 우리나라도 예외는 아니다. 특히 강원도 지역의 경우 태백산맥을 중심으로 산지가 많은 부분을 차지하고 있어 산악기후의 특성을 포함한 복잡한 기상현상을 나타내고 있다. 또한 강수량의 변화가 심한 편차를 나타내며 홍수와 가뭄이 반복되는 양상을 보이고 있다. 따라서 본 연구에서는 기상분석을 통한 강원도 지역에서 발생 가능한 홍수 및 가뭄의 피해원인 및 특성을 분석하고 지형특성과 유출특성 등을 고려한 우수저류조 저장기법을 제시하고자 한다. 이를 위해 SPRC(Source-Pathway-Receptor-Consequence) 기법을 적용해 강원도지역의 가뭄과 홍수특성을 고려한 우수저류조 설계요소를 도출하였고 그 적용성을 검토하였다. 추후 계속되는 연구결과를 통해 강원도의 지역특성을 반영한 LID 기반 최적 우수저류조 선정 의사결정지원체계를 구축하고자 한다.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.119-132
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• 2012

Recently, forest soil sediment disasters resulting from locally concentrated heavy rainfall have been occurring frequently in steep slope areas. The importance of landslide hazard map is emerging to analyze landslide vulnerable areas. This study was carried out to develop HyGIS-Landslide based on Hydro Geographic Information System in order to analyze forest soil sediment disaster in the mountainous river basin. HyGIS-Landslide is one of HyGIS components designed by considering the landslide hazard criteria of Korea Forest Service. It could show the distribution of landslide hazard areas after calculating the spatial data. In this system, the user could reset the weight of hazard criteria to reflect the regional characteristics of the landslide area. This component provided user interface that could make the latest spatial data available in the area of interest. HyGIS-Landslide could be applied to the surveyor's compensation score and it was possible to reflect the landslide risk exactly through it. Also, it could be used in topographic analysis techniques providing spatial analysis and making topographical parameters in HyGIS. Finally the accuracy could be acquired by calculating the landslide hazard grade map and landslide mapping data. This study applied HyGIS-Landslide at the Gangwon-do province sample site. As a result, HyGIS-Landslide could be applied to a decision support system searching for mountainous disaster risk region; it could be classified more effectively by re-weighting the landslide hazard criteria.

• Journal of Korean Society of Forest Science
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• v.110 no.1
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• pp.64-71
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• 2021

Recently, climate change has gradually accelerated the occurrence of landslides. Among the various effects caused by landslides,debris flow is recognized as particularly threatening because of its high speed and propagating distance. In this study, the impacts of various factors were analyzed using quantification theory(I) for the prediction of debris flow hazard soil volume in Seoraksan National Park, Korea. According to the range using the stepwise regression analysis, the order of impact factors was as follows: vertical slope (0.9676), cross slope (0.6876), altitude (0.2356), slope gradient (0.1590), and aspect (0.1364). The extent of the normalized score using the five-factor categories was 0 to 2.1864, with the median score being 1.0932. The prediction criteria for debris flow occurrence based on the normalized score were divided into four grades: class I, >1.6399; class II, 1.0932-1.6398; class III, 0.5466-1.0931; and class IV, <0.5465. Predictions of debris flow occurrence appeared to be relatively accurate (86.3%) for classes I and II. Therefore, the prediction criteria for debris flow will be useful for judging the dangerousness of slopes.

• Journal of the Korean Association of Geographic Information Studies
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• v.27 no.2
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• pp.34-44
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• 2024

Recently, due to abnormal climate caused by climate change, natural disasters such as floods, landslides, and soil outflows are rapidly increasing. In Korea, more than 63% of the land is vulnerable to slope disasters due to the geographical characteristics of mountainous areas, and in particular, Quarry mines soil and rocks, so there is a high risk of landslides not only inside the workplace but also outside.Accordingly, this study built a DEM using UAV and aviation LiDAR for monitoring the quarry, conducted a time series change analysis, and proposed an optimal DEM construction method for monitoring the soil collection site. For DEM construction, UAV and LiDAR-based Point Cloud were built, and the ground was extracted using three algorithms: Aggressive Classification (AC), Conservative Classification (CC), and Standard Classification (SC). UAV and LiDAR-based DEM constructed according to the algorithm evaluated accuracy through comparison with digital map-based DEM.

• Journal of Korean Society of Disaster and Security
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• v.13 no.3
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• pp.45-58
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• 2020

Due to a high portion of mountainous terrains in Korea, debris flow and its disasters have been increased. In addition, recently localized flash-floods caused by climate change should add frequencies and potential risks. Grasping and understanding the behaviors of debris flow would allow us to prevent the consequent disasters caused by its occurrence. In this study, we developed a number of cases by changing the bottom slopes and their curvatures and investigated their effects on potential damage caused by the debris flow using FLO-2D. As simulating each bed slopes we analyzed for velocity, depth, impact, reach distance, and reach shape. As a result the lower the average slope, the greater the influence of its curvature and the numerical results were analyzed with showed a well-marked difference in impact stress and flow velocity. The result from this study could be referred for protecting from the debris flows when design countermeasure structures in mountainous regions.

• Journal of Korean Society of Disaster and Security
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• v.14 no.1
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• pp.51-59
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• 2021

In Korea, where 64% of the soil is mountainous, typhoons and local rains concentrated in the summer season are frequent in mountainous disasters such as landslides and debris flow. The area of study was the area where the damage to the debris flow was caused by typhoon Mitag in October 2019, and all the houses located in the downstream area were damaged. In this study, numerical simulations were conducted on the area where the damage of earth and stone flow occurred using Hyper KANAKO model that can consider erosion and sedimentation, and the applicability of the model was examined by comparing the actual damage area and the analysis results of the model. As a result of the numerical simulation, the damage area of the debris flow in the target area was 53,875 m², the maximum flow depth was 2.4 m, and the average flow depth was 1.7 m.