• Title/Summary/Keyword: SINMAP (Stability INdex MAPping)

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The Assessment of Landslide Hazards in Gyeonggi Icheon area using GIS-based SINMAP Model Analysis (GIS기반의 SINMAP을 통한 경기도 이천지역의 산사태 위험도 분석)

  • Kwon, Ki-Bum;Lee, Hee-Chul;Chun, Jin-Soo
    • Proceedings of the Korean Geotechical Society Conference
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    • 2010.09a
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    • pp.782-789
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    • 2010
  • Landslides cause enormous economic losses and casualties. Korea has mountainous regions and heavy slopes in most parts of the land and has consistently built new roads and large-scale housing complexes according to its industrial and urban growth. As a result, the damage from landslides becomes greater every year. In this study, performed a GIS-based landslide hazard analysis by SINMAP(Stability Index MAPping) model in Gyeonggi Icheon area coupling with geomorphological and geological data. SINMAP model has its theoretical basis in the infinite plane slope stability model with wetness obtained from a topographically based steady state model of hydrology. To Gyeonggi Icheon area landslides hazards evaluated, these SINMAP model were analysed results while simultaneously referring to the stability index map, where lines distinguish the zones categorized into the different stability classes and a table giving summary statistics.

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Evaluation of GIS-based Landslide Hazard Mapping (GIS 기반 산사태 예측모형의 적용성 평가)

  • Oh, Kyoung-Doo;Hong, Il-Pyo;Jun, Byong-Ho;Ahn, Won-Sik;Lee, Mee-Young
    • Journal of Korea Water Resources Association
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    • v.39 no.1 s.162
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    • pp.23-33
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    • 2006
  • In this study, application potential of SINMAP, a GIS-based landslide hazard mapping tool, is evaluated through a case study. Through the application to the severe landslide events occurred during a heavy storm in 1991 on the Mt. Dalbong area about 78 kilometers south from Seoul, SINMAP successfully spotted most landslide sites. The effects and proper ranges of three calibration parameters of SINMAP, i.e. the soil internal friction angle, the combined cohesion of tree roots and soil, and T/R, were examined through comparison of predicted landslides with the landslide inventory data. From the findings of this study, it seems that SINMAP could be used as an effective screening tool for landslide hazard mapping especially for mountain areas with fairly steep slopes and relatively thin soil layers.

Characteristic Analysis and Prediction of Debris Flow-Prone Area at Daeryongsan (대룡산 토석류 특성 분석 및 위험지역 예측에 관한 연구)

  • CHOI, Young-Nam;LEE, Hyung-Ho;YOO, Nam-Jae
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.3
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    • pp.48-62
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    • 2018
  • In this study, landslide of debris flow occurred at 51 sites around Daeryounsan located in between Chuncheon-si and Hongcheon-gun during July in 2013 were investigated in field and behavior characteristics of debris flow were analyzed on the basis of records of rainfall and site investigation. According to debris flow types of channelized and hill slope, location and slope angle of initiation and deposit zone, and width and depth of erosion were investigated along entire runout of debris flow. DEM(Digital Elevation Model) of Daeryounsan was constructed with digital map of 1:5,000 scale. Land slide hazard was estimated using SINMAP(Stability INdex MAPping) and the predicted results were compared with field sites where debris flow occurred. As analyzed results, for hill slope type of debris flow, predicted sites were quite comparable to actual sites. On the other hand, for channelized type of debris flow, debris flow occurrence sites were predicted by using stability index associated with topographic wetness index. As analyzed results of 4 different conditions with the parameter T/R, Hydraulic transmissivity/Effective recharge rate, proposed by NRCS (Natual Resources Conservation Service), predicted results showed more or less different actual sites and the degree of hazard tended to increase with decrease of T/R value.

Comparison of Analysis Model on Soil Disaster According to Soil Characteristics (지반특성에 따른 토사재해 해석 모델 비교)

  • Choi, Wonil;Baek, Seungcheol
    • Journal of the Korean GEO-environmental Society
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    • v.18 no.6
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    • pp.21-30
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    • 2017
  • This study analyzed the ground characteristics region by designating 3 research areas, Anrim-dong in Chungju City, Busa-dong in Daejeon Metropolitan City and Sinan-dong in Andong City out of the areas subject to concentrated management to prepare for sediment disaster in downtown areas. The correlation between ground characteristics were observed by using characteristics (crown density, root cohesion, rainfall characteristics, soil characteristics) and the risk areas were predicted through sediment disaster prediction modeling. Landslide MAPping (LSMAP), Stability Index MAPping (SINMAP) and Landslide Hazard MAP (LHMAP) were used for the comparative analysis of the hazard prediction model for sediment disaster. As a result of predicting the sediment disaster danger, in case of SINMAP which was generally used, excessive range was predicted as a hazardous area and in case of the Korea Forest Service's landslide hazard map (LHMAP), the smallest prediction area was assessed. LSMAP predicted a medium range of SINMAP and LHMAP as hazardous area. The difference of the prediction results is that the analysis parameters of LSMAP is more diverse and engineering than two comparative models, and it is found that more precise prediction is possible.

A Comparison on the Identification of Landslide Hazard using Geomorphological Characteristics (지형특성을 활용한 산사태 위험도 판단을 위한 비교)

  • Cha, Areum
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.6
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    • pp.67-73
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    • 2014
  • Landslide disasters including debris flows are the one of the most frequent natural disasters in Korea, and losses of lives and property damages due to these catastrophic events have been increased every year. Various mitigation programs and related policies have been conducted in order to respond and prepare landslide disasters. Most landslide reduction programs are, however, focused on recovery actions after the disasters and lead to unrealistic consequences to the affected people and their properties. The main objective of this study, therefore, is to evaluate the landslide hazard based on the identification of geomorphological features, which is for the preparedness of the landslide disasters. Two methodologies, SINMAP and vector dispersion analyses are used to simulate those characteristics where landslides are actually located. Results showed that both methods well discriminate geomorphic features between stable and unstable domains. This proves that geomorphological characteristics well describe a relationship with the existing landslide hazard. SINMAP analysis which is based on the consecutive model considering external factors like infiltration is well identify the landslide hazard especially for debris flow type landslides rather than vector dispersion focusing on a specific area. Combining with other methods focusing specific characteristics of geomorphological feature, accurate landslide hazard assessments are implemented.