• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2015년도 학술발표회
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• pp.214-214
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• 2015

Rainfall induced landslides is one of the most devastating natural disasters acting on mountainous areas. In Korea, landslide damage areas increase significantly from 1990s to 2000s due to the increase of both rainfall intensity and rainy days in addition with haphazard land development. This study was carried out based on the application of TRIGRS unsaturated (Transient Rainfall Infiltration and Grid-based Regional Slope stability analysis), a Fortran coded, physically based, and numerical model that can predict landslides for areas where are prone to shallow precipitation. Using TRIGRS combining with the geographic information system (GIS) framework, the landslide incident happened on 27th, July 2011 in Mt. Umyeon in Seoul was modeled. The predicted results which were raster maps showed values of the factors of safety on every pixel at different time steps show a strong agreement with to the observed actual landslide scars in both time and locations. Although some limitations of the program are still needed to be further improved, some soil data as well as landslide information are lack; TRIGRS is proved to be a powerful tool for shallow landslide susceptibility zonation especially in great areas where the input geotechnical and hydraulic data for simulation is not fully available.

• 한국지반환경공학회 논문집
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• 제18권12호
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• pp.47-57
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• 2017

본 연구에서는 도심지 토사재해 예비중점관리 대상지역 중 총 6개 연구지역(춘천, 성남, 세종, 대전, 미량, 부산)을 선정하여 토사재해 위험지 예측 분석을 실시하였다. 분석에 사용된 모델은 현재 토사재해 위험지 예측에 보편적으로 사용되고 있는 기존 모델(SINMAP, TRIGRS)과 본 연구를 통해 개발된 프로그램(LSMAP)을 활용하였으며, 결과 비교분석을 통해 개발모델의 적용성을 검토하였다. 토사재해 위험지 예측에 사용되는 매개변수는 크게 지형특성, 토질특성, 임상특성, 강우특성으로 분류하였으며, 각 모델에 따른 토사재해 위험지 예측 분석 결과 LSMAP 및 TRIGRS에 비해 SINMAP을 이용한 분석은 대체로 위험지를 광범위하게 예측하였다. 이러한 결과는 모델별 적용되는 분석 매개변수의 차이에 의한 것으로 판단된다. 또한 임상특성을 고려한 LSMAP은 TRIGRS 결과와 비교하였을 때 예측 위험지 기준 -0.04~2.72%의 범위 내로 유사한 경향을 보이는 것으로 분석되었다. 이는 산지에 분포하는 임상 정보가 비탈면 안정에 다양한 영향을 미치는 것이라 할 수 있으며, 토사재해 위험지 예측에 중요한 매개변수임을 알 수 있다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2017년도 학술발표회
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• pp.260-260
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• 2017

This study aims to compare the performance of TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope-stability model) and TiVaSS (Time-variant Slope Stability model) in the prediction of rainfall-induced shallow landslides. TRIGRS employs one-dimensional (1-D) subsurface flow to simulate the infiltration rate, whereas a three-dimensional (3-D) model is utilized in TiVaSS. The former has been widely used in landslide modeling, while the latter was developed only recently. Both programs are used for the spatiotemporal prediction of shallow landslides caused by rainfall. The present study uses the July 2011 landslide event that occurred in Mt. Umyeon, Seoul, Korea, for validation. The performance of the two programs is evaluated by comparison with data of the actual landslides in both location and timing by using a landslide ratio for each factor of safety class ( index), which was developed for addressing point-like landslide locations. In addition, the influence of surface flow on landslide initiation is assessed. The results show that the shallow landslides predicted by the two models have characteristics that are highly consistent with those of the observed sliding sites, although the performance of TiVaSS is slightly better. Overland flow affects the buildup of the pressure head and reduces the slope stability, although this influence was not significant in this case. A slight increase in the predicted unstable area from 19.30% to 19.93% was recorded when the overland flow was considered. It is concluded that both models are suitable for application in the study area. However, although it is a well-established model requiring less input data and shorter run times, TRIGRS produces less accurate results.

• 한국환경복원기술학회지
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• 제22권1호
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• pp.33-45
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• 2019

Compound disaster is the type that increases the impact affected by two or more hazard events, and attention to compound disaster and multi-hazards risk is growing due to potential damages which are difficult to predict. The objective of this study is to analyze the possible impacts of post-fire landslide scenario quantitatively by using TRIGRS (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Analysis), a physics-based landslide model. In the case of wildfire, soil organic material and density are altered, and saturated hydraulic conductivity decrease because of soil exposed to high temperature. We have included the change of soil saturated hydraulic conductivity into the TRIGRS model through literature review. For a case study, we selected the area of $8km^2$ in Pyeongchang County. The landslide modeling process was calibrated before simulate the post-wildfire impact based on landslide inventory data to reduce uncertainty. As a result, the mean of the total factor of safety values in the case of landslide was 2.641 when rainfall duration is 1 hour with rainfall intensity of 100mm per day, while the mean value for the case of post-wildfire landslide was lower to 2.579, showing potential landslide occurrence areas appear more quickly in the compound disaster scenario. This study can be used to prevent potential losses caused by the compound disaster such as post-wildfire debris flow or landslides.

• 한국지반신소재학회논문집
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• 제16권3호
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• pp.51-62
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• 2017

본 연구에서는 도심지 토사재해 예비중점관리대상지역 76개중 9개 지역을 연구 지역으로 선정하였다. 연구 지역 은 기반암 특성별로 퇴적암류 3개 지역(경산시, 고흥군, 대구광역시), 화성암류 3개 지역(대전광역시, 세종특별자치시, 원주시), 변성암류 3개 지역(남양주시, 의왕시, 인제군)으로 분류하였으며, 9개 지역을 대상으로 지반정수 산정에 필요한 시험과 수목에 대한 뿌리 점착력, 수목하중을 예측 모형과 현장 조사를 통해 분석하였다. 강우시나리오(강우강도)는 부산 APEC 기후센터(APCC)에서 제공한 확률강우량을 적용하였으며, 9개 지역의 토사재해 위험도 예측은 TRIGRS와 LSMAP을 이용하였다. TRIGRS 예측 결과, 평균적으로 퇴적암류 지역의 위험지역은 30.45%, 화성암류 지역의 위험지역은 41.03%, 변성암류 지역의 위험지역은 45.04%로 검토되었다. 수관 밀도에 따른 뿌리 점착력과 수목하중을 고려한 LSMAP 예측 결과, 퇴적암류 지역의 위험지역은 1.34%, 화성암류 지역의 위험지역은 2.76%, 변성암류 지역의 위험지역은 1.64%로 검토되었다. TRIGRS를 이용한 분석보다 LSMAP을 통한 분석이 비교적 국소적으로 예측 가능한 것으로 검토되었다.

• 한국지반환경공학회 논문집
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• 제17권12호
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• pp.5-16
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• 2016

This study aims to assess the influence of rainfall patterns on shallow landslides initiation. Doing so, five typical rainfall patterns with the same cumulative amount and intensity components comprising Advanced (A1 and A2), Centralized (C), and Delayed (D1 and D2) were designed based on a historical rainstorm event in Jinbu. Mt area. Those patterns were incorporated as the hydrological conditions into the Transient Rainfall Infiltration and Grid-based Regional Slope-stability Model (TRIGRS) to assess their influences on groundwater pressure and changes in the stability of the slope. The results revealed that not only the cumulative rainfall thresholds necessary to initiate landslides, but also the rate at which the factor of safety decreases and the time required to reach the critical state, are governed by rainfall patterns. The sooner the peak rainfall intensity, the smaller the cumulative rainfall threshold, and the shorter the time until landslide occurrence. Left-skewed patterns were found to have a greater effect on landslide initiation. Specifically, among five rainfalls, pattern (A1) produced the most critical state. The severity of response was followed by patterns A2, C, D1, and D2. Our conclusion is that rainfall patterns have a significant effect on the cumulative rainfall threshold, the build-up of groundwater pressure, and the occurrence of shallow landslides.

• 한국지반환경공학회 논문집
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• 제17권4호
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• pp.17-31
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• 2016

Many researchers have evaluated the influence of vegetation cover on slope stability. However, due to the extensive variety of site conditions and vegetation types, different studies have often provided inconsistent results, especially when evaluating in different regions. Therefore, additional studies need to be conducted to identify the positive impacts of vegetation cover for slope stabilization. This study used the Transient Rainfall Infiltration and Grid-based Regional Slope-stability Model (TRIGRS) to predict the occurrence of landslides in a watershed in Jinbu-Myeon, Pyeongchang-gun, Korea. The influence of vegetation cover was assessed by spatially and temporally comparing the predicted landslides corresponding to multiple trials of cohesion values (which include the role of root cohesion) and real observed landslide scars to back-calculate the contribution of vegetation cover to slope stabilization. The lower bound of cohesion was defined based on the fact that there are no unstable cells in the raster stability map at initial conditions, and the modified success rate was used to evaluate the model performance. In the next step, the most reliable value representing the contribution of vegetation cover in the study area was applied for landslide assessment. The analyzed results showed that the role of vegetation cover could be replaced by increasing the soil cohesion by 3.8 kPa. Without considering the influence of vegetation cover, a large area of the studied watershed is unconditionally unstable in the initial condition. However, when tree root cohesion is taken into account, the model produces more realistic results with about 76.7% of observed unstable cells and 78.6% of observed stable cells being well predicted.

• 한국지반신소재학회논문집
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• 제15권2호
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• pp.13-24
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• 2016

얕은 토층의 무한사면 파괴가 예상되는 지역에서 안전율 계산에 영향을 주는 지역적 특징인 뿌리점착력을 고려하지 않은 무한사면 안전율은 뿌리점착력을 적용한 무한사면 안전율 보다 낮은 수치로 해석되는 경향이 있다. 따라서 합리적인 무한사면의 안전율을 계산하기 위하여 지역적 특징을 반영한 안전율 해석이 필요하다. 본 연구에서는 수목의 뿌리와 수관밀도가 무한사면의 안전율에 미치는 영향을 분석하기 위하여 기존 무한사면 안정해석 방법에 수관밀도를 고려한 뿌리 점착력 이론을 적용하여 안전율의 변화를 비교 분석하였다. 해석결과 뿌리점착력의 효과로 인하여 안전율이 증가하지만, 사면의 경사에 따라서 안전율의 증가량이 다른 것으로 분석 되었으며, 뿌리점착력의 보강 효과는 완만한 경사의 사면일수록 커지는 것으로 나타났다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2016년도 학술발표회
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• pp.202-202
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• 2016

Despite the potentially major influence of rainstorm patterns on the prediction of shallow landslides, this relationship has not yet received significant attention. In this study, five typical temporal rainstorm patterns with the same cumulative amount and intensity components comprising Advanced (A1 and A2), Centralized (C), and Delayed (D1 and D2) were designed based on a historical rainstorm event occurred in 2006 in Mt. Jinbu area. The patterns were incorporated as the hydrological conditions into the Transient Rainfall Infiltration and Grid-based Regional Slope-stability Model (TRIGRS), in order to assess their influences on pore pressure variation and changes in the stability of the covering soil layer in the study area. The results revealed that not only the cumulative rainfall thresholds necessary to initiate landslides, but also the rate at which the factor of safety (FS) decreases and the time required to reach the critical state, are governed by rainstorm pattern. The sooner the peak rainfall intensity occurs, the smaller the cumulative rainfall threshold, and the shorter the time until landslide occurrence. Left-skewed rainfall patterns were found to have a greater effect on landslide initiation. More specifically, among the five different patterns, the Advanced storm pattern (A1) produced the most critical state, as it resulted in the highest pore pressure across the entire area for the shortest duration; the severity of response was then followed by patterns A2, C, D1, and D2. Thus, it can be concluded that rainfall patterns have a significant effect on the cumulative rainfall threshold, the build-up of pore pressure, and the occurrence of shallow landslides, both in space and time.