Landslide Susceptibility Analysis : SVM Application of Spatial Databases Considering Clay Mineral Index Values Extracted from an ASTER Satellite Image

Nam, Kounghoon; Lee, Moung-Jin; Jeong, Gyo-Cheol

doi:10.9720/kseg.2016.1.23

Cited by 6 publications

(3 citation statements)

References 16 publications

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“…Meanwhile, in high soil drainage capacity areas, rainfall easily penetrates the soil, creating water films between the soil layers (Y. Nam et al 2016). When comprehensively reviewing the results of this study and previous studies, it is recommended that the installation of PPS be prohibited in areas with a soil depth of <20 cm or >100 cm and areas with good and very good soil drainage capacity, as they are highly susceptible to landslides.…”

Section: Suggest New Criteria For Pps Installable Areas Based On Ls Analysismentioning

confidence: 92%

Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea

Kim

Park

2021

Geomatics, Natural Hazards and Risk

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In the Republic of Korea (ROK), photovoltaic power stations (PPSs) are typically installed in mountainous areas because of the low levelized cost of electricity values. However, intensified precipitation due to climate change has increased landslide occurrence, threatening PPSs installed in mountainous areas. Previous studies have focussed on the possibility of landslide occurrence considering specific years, which could not generate general landslide susceptibility areas (LSAs). Therefore, this study aimed to analyze the general LSAs and compare it with PPS-installed areas to identify the potential landslide damages to the PPSs. Gangwon-do was selected as the study site and maximum entropy model was used to evaluate LSAs in multiple target years (2006, 2013, 2019, and 2020). The results showed that 3.2-10.6% of PPSs are located in LSAs during 2013-2020. Considering the government PPS installation regulations, 45% of installable areas were identified as LSAs, suggesting that new criteria are required for future PPS installation. We propose that PPS installation should be prohibited in very shallow soil, very deep soil area, areas with good drainage capacity, a slope between 10 and 30 , north aspect, and coniferous forest area. Our results can help in improving the regulatory plans and prevent reckless development of PPSs in susceptible regions.

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Section: Suggest New Criteria For Pps Installable Areas Based On Ls Analysismentioning

confidence: 92%

Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea

Kim

Park

2021

Geomatics, Natural Hazards and Risk

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“…The formation of dispersive clays reduces the shear strength and induces spontaneous landslides, especially after heavy rainfall events. Besides, the volume and the residence time of the water in ltrating the underground control the intensity and direction of mineral-uid interface processes in the pelitic sediments, affecting the slope stability and deformation rate of the sliding mass (Nam et al, 2016). As shown in Figure 11e-f, the clay layer covers the bedrock and the boundary between clay soils and granite bedrock is clearly observed.…”

Section: Possible Failure Mechanismsmentioning

confidence: 94%

A long-runout landslide triggered by extreme rainfall in Gokseong, South Korea on 7 August 2020

Nam

Wang

Dai

et al. 2022

Preprint

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On 7 August 2020, a large-scale catastrophic landslide was triggered by extreme rainfall at Osan village, Gokseong County, South Jeolla Province, South Korea. The initiation mechanism of the Gokseong landslide was different from those typical landslides that occurred in South Korea. Despite the relatively low elevation and slope degree, the landslide had a long runout distance of about 640 m over a total vertical distance of 90 m. A detailed field investigation and chemical analysis were conducted to understand the possible mechanisms for the high-speed and long-runout behavior of the landslide. The terrain controlled the motion behavior of the landslide and the seepage was observed at the whole landslide body. The clay-rich soils covered on granite bedrock of the landslide deposition area from the rice paddy field to the landslide crown. The results of this study may provide basic data for further research on the mechanisms for landslide initiation and propagation.

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“…Several previous studies have analyzed landslide-susceptible areas using spatial distribution models. Examples include a study using MaxEnt species distribution modeling (MaxEnt) to create a landslide susceptibility map for Garhwal district in northern India, (5) a study analyzing landslide-susceptible areas using clay mineral index values extracted from ASTER satellite imagery, (6) a study evaluating the predictive power of landslide sensitivity using MaxEnt and frequency ratio methods in Cinque Terre, Italy, (7) and a study leading to the creation of a landslide susceptibility map through an ensemble of various spatial distribution models (such as MaxEnt, artificial neural network, and support vector machine). (8) These were all carried out to prevent damage by analyzing landslide-susceptible areas.…”

Section: Introductionmentioning

confidence: 99%

Urbanized Area Landslide Susceptibility Assessment Using Time-series Analysis: A Case Study in Gyeongsangnam-do, Republic of Korea

Kim¹

2021

Sensors and Materials

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Landslide damage has occurred in many countries, and research on landslide susceptibility assessment is being actively conducted in response. In Gyeongsangnam-do (Gyeongnam), Republic of Korea (ROK), landslides are frequent, making it imperative that high-susceptibility areas are identified to reduce damage and loss of life. The purpose of this study was therefore to establish a predictive model for landslide-susceptible areas and identify urbanized locations exposed to a high risk of landslides on an ongoing basis. This study led to landslide locations for the previous nine years being precisely identified and a composite occurrence map being created. Landslide location changes over time were confirmed, and repetition patterns were identified. Relationships between landslide locations and urbanized areas were analyzed, which allowed high-susceptibility traffic areas, residential areas, and public facilities to be identified, and their characteristics analyzed. The results of this study can be applied to reduce property damage and prevent loss of life from landslides in the ROK. Its methodology can also be used as a landslide susceptibility analysis framework and as a guide for establishing countermeasures in urbanized areas worldwide with significant landslide susceptibility. This study emphasizes the need for periodic landslide sensing and monitoring, and illustrates the importance of collecting information on locations where landslides occur as material for landslide research.

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Landslide Susceptibility Analysis : SVM Application of Spatial Databases Considering Clay Mineral Index Values Extracted from an ASTER Satellite Image

Cited by 6 publications

References 16 publications

Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea

Landslide susceptibility analysis of photovoltaic power stations in Gangwon-do, Republic of Korea

A long-runout landslide triggered by extreme rainfall in Gokseong, South Korea on 7 August 2020

Urbanized Area Landslide Susceptibility Assessment Using Time-series Analysis: A Case Study in Gyeongsangnam-do, Republic of Korea

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