• Title/Summary/Keyword: 땅밀림 산사태

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Analysis on the Characteristics of the Landslide - With a Special Reference on Geo-Topographical Characteristics - (땅밀림 산사태의 발생특성에 관한 분석 - 지형 및 지질특성을 중심으로 -)

  • Park, Jae-Hyeon
    • Journal of Korean Society of Forest Science
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    • v.104 no.4
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    • pp.588-597
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    • 2015
  • This study was carried out to identify the reasons of the landslide by land creeping in South Korea in order to provide basic information for establishing the management plan for prevention. Total 29 sites of landslide areas caused by land creeping were observed in South Korea. Among them, the soil-composition of most frequent landslide areas occurred by land creeping was colluvium landslide as 75.9% (22 sites), followed by clay soil landslide as 10.3% (3 sites), bedrock landslide as 6.9% (2 sites), and weathered rock landslide as 6.9% (2 sites). According to the types of parental rocks, the investigated landslide areas were divided into 3 types: 1) metamorphic rocks including schist, phylite, migmatitic gneiss, quartz schist, pophyroblastic gneiss, leucocratic granite, mica schst, banded gneiss and granitic gneiss, 2) sedimentary rocks including limestone, sandstone or shale and mudstone, 3) igneous rocks such as granite, andesite, rhyolite and masanite. As a result, it was noticed that the landslides occurred mostly at the metamorphic rocks areas (13 sites; 44.8%), followed by sedimentary rock areas (12 sites; 41.4%), and igneous rock areas (4 sites; 13.8%). Looking at the direct causes of the landslide, the anthropological activities (71%) such as cut slopes for quarrying, construction of country house, plant, and road, farming of mountain top, and reservoir construction were the biggest causes of the landslides, followed by the land creeping landslides (22%) caused by geological or naturally occurred (22%), and cliff erosions (7%) by caving of rivers and valleys.

Analysis of GIS for Characteristics on the Slow-Moving Landslide: With a Special Reference on Slope and Grade of Landslide (GIS를 이용한 땅밀림지 특성 분석: 산지경사 및 산사태위험등급을 중심으로)

  • Park, Jae-Hyeon;Seo, Jung Il;Lee, Changwoo
    • Journal of Korean Society of Forest Science
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    • v.108 no.3
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    • pp.311-321
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    • 2019
  • This study was carried out to establish basic data for the development of slow-moving landslide hazard classes. Mountain slopes in slow-moving landslide areas ranged from $11.8^{\circ}$ to $37.0^{\circ}$ with a mean slope of $23.8^{\circ}$. However, the slope inclination of microtopography in slow-moving landslide areas was slightly different, with a mean slope of $23.5^{\circ}$ ($10.7^{\circ}{\sim}41.5^{\circ}$) compared with the mountain slope. There was a significant difference (p < 0.05) between the contour intervals of microtopography and the contour intervals of the slow-moving landslide areas. Among all the slow-moving landslide areas examined, 14 plots (approximately 38.0%) were classified into landslide hazard class I, 6 plots (approximately 16.0%) into landslide hazard class II, 5 plots (approximately 14.0%) into landslide hazard class III and IV, and 16 plots (approximately 43.0%) into landslide hazard class V, whereas 9 plots (approximately 24.0%) fit the no landslide hazard class.

Analysis on the Characteristics of the Landslide in Maeri (I) - With a Special Reference on Geo-Topographical Characteristics - (매리 땅밀림형 산사태(山沙汰)의 발생특성(發生特性)에 관한 분석(分析) (I) - 지형(地形) 및 지질특성(地質特性)을 중심(中心)으로 -)

  • Park, Jae-Hyeon;Choi, Kyung;Bae, Jong Soon;Ma, Ho-Seop;Lee, Jong-Hak
    • Journal of Korean Society of Forest Science
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    • v.94 no.3 s.160
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    • pp.129-134
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    • 2005
  • Ths study was carried out to understand the geo-topographical characteristics of the landslide area (1.5 ha) in Maeri, Sangdong-myeon, Gimhaesi, Gyeongsangnam-do. The bedrock of the landslide area was diollites and the area in and around the upper slope with the scattered talus was composed of Masanam originated from Igneous rocks. The landslide occurred in 19th of April, 2004 and the amount of rainfall for 3 days before the landslide was 74mm. The landslide by land creeping in this area was mainly attributed to geo-topographical characteristics such as well developed colluvial and/or weathered soils, and land cutting in lower slope, although the landslide could be affected by the rainfall. The type of the landslide can be classified into the land creeping by concave colluvial soils.

Study on the Characteristics of the Slow-moving Landslide (Landcreep) in the Sanji Valley of Jinju (진주시 산지골 유역내 땅밀림지 특성에 관한 연구)

  • Park, Jae-Hyeon;Kim, Seon Yeop;Lee, Sang Hyeon;Kang, Han Byoel
    • Journal of Korean Society of Forest Science
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    • v.111 no.1
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    • pp.115-124
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    • 2022
  • This study was conducted to obtain basic data that could help prevent damage caused by slow-moving landslides (land-creep). Specifically, the geological, topographic, and physical characteristics of land-creep were analyzed in Jiphyeon-myeon, Jinju-si. The first and second analyzed land-creeps occurred in 1982 and 2019, respectively. The area damaged in the second land-creep was about 11.5-fold larger than that damaged in the first land-creep. The dominant constituent rock in the land-creep area was sedimentary rock, which seems to be weakly resistant to weathering. The areas that collapsed due to land-creep were related to the presence of separated rocks between the bedding plane in the estimated activity surface over the slope direction and the vertically developed joint surface. Thus, surface water and soil debris were introduced through the gaps of separated rocks. Additionally, the areas collapsed due to the combination of the bedding plane and joint surface shale and sandstone showed an onion structure of weathered outcrop from the edge to inner part caused by weathering from ground water. Consequently, core stones were formed. The study area was a typical area of land-creep in a mountain caused by ground water. Land-creep was classified into convex areas of colluvial land-creep. The landslide-risk rating in the study area was classified into three and five classes. The flow of ground water moved to the northeast and coincided with the direction of the collapse. Soil bulk density in the collapsed area was lower than that in ridge area, which was rarely affected by land-creep. Thus, soil bulk density was affected by the soil disturbance in the collapsed area.

Application of Geophysical Exploration Technique to the Identification of Active Weak Zones in Large Scale Mountainous Region (대규모 산지지반 활동연약대 규명을 위한 지구물리탐사기법의 활용 연구)

  • Shin, Hyung Ohk;Kim, Man-Il;Yoon, Wang Joong
    • Geophysics and Geophysical Exploration
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    • v.21 no.3
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    • pp.162-170
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    • 2018
  • The purpose of this study is to understand the ground change of large scale mountainous region and to estimate the active weak zone using geophysical exploration (electrical resistivity and refraction seismic explorations) in large scale deep landslide area located in Wanjugun, Jeollabukdo. We also analyzed the characteristics of deep landslides occurred in metamorphic rocks region and confirmed the approximate scale. As a result of comparative analysis of N-value by standard penetration test (SPT), low resistivity anomaly, and tension crack identified from field investigation, a discontinuity in soil layer was estimated at 10 ~ 15 m below the surface. Based on this results, the distribution pattern of active weak zone was confirmed between the discontinuity in soil layer and estimation line of bedrock.

Interpretation of Electrical Resistivity Tomogram with Contents of Clay Minerals for the Land Creeping Area (점토광물 함유량을 고려한 땅밀림 산사태 지역의 전기비저항 자료의 해석)

  • Kim, Jeong-In;Kim, Ji-Soo;Lee, Sun-Joong;Cho, Kyoung-Seo;Kim, Jong-Woo
    • The Journal of Engineering Geology
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    • v.31 no.2
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    • pp.187-197
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    • 2021
  • Clay mineral content of weathered zone is a key parameter for landslide studies. Electrical resistivity tomography is usually performed to delineate the geometry of complex landslides and to identify the sliding surface. In clay-bearing weathered zone, parallel resistivity Archie equation is employed to investigate the effect of conductivity added (resistivity reduced) by clay minerals of kaolinite and montmorillonite, which is dependent on their specific surface area and cation exchange capacities (CEC). A decrease of overall resistivity and apparent formation factor is observed with increasing pore-water resistivity, significantly in montmorillonite. Formation factor is found decreased with increasing porosity and decreasing cementation factor. Parallel Archie equation was applied to the electrical resistivity data from the test area (Sinjindo-ri, Taean-gun, Chungcheongnam-do, Korea) which experienced land creeping in the year of 2014. A panel test with varying clay-mineral contents provides the best fit section when the theoretical section constructed with the assumed contents approaches the field section, from which the clay-mineral content of the weathered zone is estimated to be approximately 10%. Resistivity interpretation schemes including the clay mineral contents for land creeping studies explored in this paper can be challenged more when porosity, saturation, and pore-water resistivity are provided and they are included in the numerical resistivity modeling.

Crack Form and Soil Physical Properties in Land Creeping area on Okjong, Hadong (하동군 옥종면 땅밀림 산사태지의 인장균열 형태와 토양 물리성 변화)

  • Kim, Ki-Dae;Park, Jen-Hyeon;Lee, Chang-Woo;Kang, Min-Jeng
    • Journal of Korean Society of Forest Science
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    • v.105 no.4
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    • pp.435-440
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    • 2016
  • This study was carried out to examine of soil physical property and crack shape by collapse process on landslide area (by land creeping) in Hadong, Gyeongnam. We investigated morphological characteristics (length, depth, cut slope) between main crack and local crack, soil physical properties change between undisturbed section and disturbed section. As a result, morphological characteristics of crack showed no significant difference main crack between local crack. In case of soil physical property variation, soil liquid phase was significantly higher at 31-40 cm of soil depth in disturbed section. And this result is likely to be due to site factors.

A Study on the Characteristics of the Landslide in Hyuseok-dong(II) -Geological and Hydrological Characteristics- (휴석동(休石洞) 땅밀림형(型) 산사태(山沙汰)의 발생특성(發生特性)에 관한 연구(硏究)(II) -지질(地質) 및 수문특성(水文特性)-)

  • Woo, Bo-Myeong;Park, Jae-Hyeon;Choi, Hyung-Tae;Jeon, Gi-Seong;Kim, Kyung-Hoon
    • Journal of Korean Society of Forest Science
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    • v.85 no.4
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    • pp.571-576
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    • 1996
  • The geological and hydrological survey was carried out in Hyuseok-dong landslide area(10 ha), Youngchoon-myeon, Danyang-gun, Choongcheongbuk-do. The results showed that the bed rocks in this area consisted of shale, sandstone and limestone, and the piles of stones debris were also scattered around the hill above the study area. Soil texture was sandy loam, and bulk density of the soil in the lower part of the area was higher than that of the upper part, but void ratio of the soil in the lower part was lower than that of the upper part. Subsurface water was springing out to the surface in many places in this area. In this area, the storms over 70mm/day were frequent during the summer period from June through September. It was concluded that the occurrence of landslide had a close relationship with the geological characteristics, hydrological conditions and the rainfall distribution.

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A Study on the Characteristics of the Landslide in Hyuseok-dong(I) -Topographical Characteristics and Surface Displacement- (휴석동(休石洞) 땅밀림형(型) 산사태(山沙汰)의 발생특성(發生特性)에 관한 연구(硏究)(I) -지형(地形) 및 지표이동특성(地表移動特性)-)

  • Woo, Bo-Myeong;Park, Jae-Hyeon;Choi, Hyung-Tae;Jeon, Gi-Seong;Kim, Kyung-Hoon
    • Journal of Korean Society of Forest Science
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    • v.85 no.4
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    • pp.565-570
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    • 1996
  • The landslide survey in an area of about 10 ha was carried out in Hyuseok-dong. Youngchoon-myeon, Danyang-gun, Choongcheongbuk-do. The results showed that there were many indications on geographical changes, such as scars, depressions, upheavals, cracks and destructions of the construction features. The mean degree of slope of the study area was $28^{\circ}$. The results of surface displacement in this area showed that landslide mass is moving in the direction of SE~SEE, and horizontal and vertical movement rate of the center of moving mass was about 1.2m/year and 0.86m/year, respectively. It was estimated that the amount of the soil erosion in the cliff at the lower edge of this area was 0.823m due to the caving erosion by the Namhangang(River) from June through November, 1995.

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A Performance Comparison of Machine Learning Classification Methods for Soil Creep Susceptibility Assessment (땅밀림 위험지 평가를 위한 기계학습 분류모델 비교)

  • Lee, Jeman;Seo, Jung Il;Lee, Jin-Ho;Im, Sangjun
    • Journal of Korean Society of Forest Science
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    • v.110 no.4
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    • pp.610-621
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    • 2021
  • The soil creep, primarily caused by earthquakes and torrential rainfall events, has widely occurred across the country. The Korea Forest Service attempted to quantify the soil creep susceptible areas using a discriminant value table to prevent or mitigate casualties and/or property damages in advance. With the advent of advanced computer technologies, machine learning-based classification models have been employed for managing mountainous disasters, such as landslides and debris flows. This study aims to quantify the soil creep susceptibility using several classifiers, namely the k-Nearest Neighbor (k-NN), Naive Bayes (NB), Random Forest (RF), and Support Vector Machine (SVM) models. To develop the classification models, we downscaled 292 data from 4,618 field survey data. About 70% of the selected data were used for training, with the remaining 30% used for model testing. The developed models have the classification accuracy of 0.727 for k-NN, 0.750 for NB, 0.807 for RF, and 0.750 for SVM against test datasets representing 30% of the total data. Furthermore, we estimated Cohen's Kappa index as 0.534, 0.580, 0.673, and 0.585, with AUC values of 0.872, 0.912, 0.943, and 0.834, respectively. The machine learning-based classifications for soil creep susceptibility were RF, NB, SVM, and k-NN in that order. Our findings indicate that the machine learning classifiers can provide valuable information in establishing and implementing natural disaster management plans in mountainous areas.