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RISS 인기검색어
- 검색키워드
- 저자 : ( Keng-hao Kang ) (검색결과 4 건)
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Failure Modes of Large-scale Landslides Induced by 2009 Typhoon Morakot in Southern Taiwan
( Keng-hao Kang ),( Hao-hsun Lin ),( Yii-wen Pan ),( Jyh-jong Liao ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
After the catastrophic landslide at the Shiaolin village during the 2009 Typhoon Morakot, many large-scale landslide areas were delineated using LiDAR DEM. Among those, 356 large-scale landslides caused by the Typhoon Morakot are in southern Taiwan. In addition to the delineation task, the assessment of landslide activity is also essential for risk management. This study aims to classify the failure modes of large scale landslides in order to provide information for further assessment. For remote sensing interpretation, this study adopted google satellite images, multi-period aerial photos, 5x5m/1x1m DEM, and geologic maps. Arc GIS was used to calculate the geomorphic index of the landslides before and after 2009 Typhoon Morakot. We used a variety of parameters including drainage system, shape of bare areas, and characteristics of topography to identify the failure modes of landslides. As a result, this study classify the large-scale landslides induced by the Typhoon Morakot into six categories: colluvium slide, dip slope slide, weathered bedrock slide, rock avalanche, shallow debris slide, and complex type. Among those cases, ten sites are possibly related with gravitational slope deformation.
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Evolution of Multi-temporal Landslides at Luhu, Miaoli County, Taiwan
( Che-ming Yang ),( Keng-hao Kang ),( Kuo-wei Li ),( Hui-jung Wang ),( Ching-ping Hsiao ),( Jyh-jong Liao ),( Yii-wen Pan ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
A deep-seated landslide took place in Luhu, Miao-Li, Taiwan during intermittent rainfall in April 2018; initially, there were successive rock falls and gully erosion then leaded to a deep-seated landslide failure eventually. This study aims to understand the failure mechanism and the process of deep-seated failure. The study site is a steep anaclinal slope consisting of the Miocence Shihti Formation with thick sandstone, interbedded of sandstone and shale. We collected multi-temporal ortho-images and digital elevation (surface) models from 1980 to 2019 for geological investigation, geomorphological interpretation and numerical simulation. The images reveal several slope failures at 1998, 2003, 2005, 2009, 2015, 2017 and 2018 with various volume and failure types. The study area contains three sub-regions: the north, the northwest and the southwest slopes. The slope failure occurred repeatedly inside the north and the northwest slopes in the early stage. Gully erosion in the southwest slope progressed to a landslide on April 5, 2018 first and expanded to cover the deep-seated landslide failure in the northwest slope eventually; the slope failure resulted in a natural dam. After the landslide, several open cracks appeared near to the crown. The estimated maximum thickness, area and volume of the deep-seated landslide are ~60 m, 65,000 m2 and ~2 Mm3, respectively. Based on these results, we also performed a series of numerical simulation using the software RAMMS to interpret the run out and the deposition of this landslide case.
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Multidisciplinary Perspectives in Understanding Slow-moving Landslide
( Wei-an Chao ),( Ming-chien Chung ),( Keng-hao Kang ),( Chih-pin Lin ),( Tung-lin Tai ),( Hao-wen Yang ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
Landslides have caused extensive infrastructure damage and threatened the human fatalities through the centuries. Among all triggered factors, massive precipitation and large earthquakes are considered to be the two key activators for pushing landslide moving, particularly for catastrophic landslides. The most acceptable mechanism resulting the landslide movement is liquefaction due to increasing water pore pressure. In this study, a landslide site has been well understood by hydrological, geophysical, geological, geodetic, geotechnical and seismological (H4GS) perspectives. Our seismic monitoring of daily relative velocity changes (dv/v) in sliding material decreased coinciding with first-half rainy period yet increased observing in post-half raining event. Geodetic survey (real-time kinematic, RTK; total station) before and after rainy period presents the vertical subsidence without any horizontal movement. The results from multidisciplinary investigation allow us to draw the conceptual model of landslide healing process caused by the water loading. Under the stability condition (F > 1.0) for each sliding materials, unconsolidated landslide colluvium and impermeable sliding surface could trap the seepage water to be as water pool, provided compact force acting on the materials below the sliding boundary. The vertical force of compaction facilitates to increasing the cohesion and strength of materials, tending the landslide material to be much stability. We demonstrated that healing process is periodically occurred but only for prolonged and intense precipitation combined with stability condition.
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The Inventory and Statistics of Potential Large-scale Landslide Areas in Southern Taiwan
( Kuo-wei Li ),( Chien-yu Lin ),( Jyh-jong Liao ),( Yi-wen Pan ),( Keng-hao Kang ),( Che-ming Yang ) 대한지질공학회 2019 대한지질공학회 학술발표회논문집 Vol.2019 No.2
This study produced an inventory of the 2,523 potential large-scale landslide areas (PLSLAs) in southern Taiwan. These PLSLAs were delineated using LiDAR DEM of 1m resolution after the 2009 Typhoon Morakot by other institutes. Using the inventory, we conducted a statistical analysis of the important geologic and geomorphologic factors possibly related to a PLSLA. The statistical analyses reveal that, among the 2,523 PLSLAs, (1) 82% of elevation are between 750 and 2,750 m, (2) 79% of the area are between 10 and 40 hectares, (3) 76% of the slope height are between 200 and 600 m, (4) 86% of the slope are between 25 and 40 degrees and (5) 83 percent of stream order are less than 3. Rock formations of these PLSLAs range from Oligocene to Miocene; 67% of the strata are slate, and 12% are interbedded of sandstone and shale. This study selected 24 medium to high risk cases of the 2,523 PLSLAs, and interpreted the micro-geomorphological features from 1m LiDAR DEM. The following three patterns were present: (1) PLSLA with clear features of gravitational slope deformation in slope height more than 500 m condition, (2) PLSLA with the relic of paleo landslides induced by gravitational buckling, toppling, or plane sliding, (3) PLSLA with river bank erosion on slope toe and head-cut erosion induced by gully development. Based on statistics, the stream order of the PLSLAs with gravitational slope deformation usually would exceed 3; 83% of PLSLAs are the areas also with paleo large-scale landslide.
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