• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.37-46
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• 2020

Although the importance of resilience is emerging around the world, the single definition of resilience related to natural disasters is not clear. The reason for this is that there is no specific definition of how the definition of resilience relates to similar terms such as vulnerability, recovery, adaptability, and sustainability. In addition, it is because each country and region have different geographic and geological characteristics, and each measurement index is different, just as typhoons, droughts, and earthquakes have different types of disasters. Therefore, in this study, the definition of resilience is reflected in the spatial characteristics of this study as the ability to recover from'complex disasters (concentrated heavy rain, landslides, earth and stone flows) occurring on local roads or on local roads adjacent to people or facilities. Defined. And it was divided into DRR: Disaster Resilience focusing on the Road. In addition, domestic and foreign literature surveys were conducted to derive road-centered disaster resilience factors, and a hierarchical structure was established and AHP survey was conducted to establish a DRR evaluation system. As a result of the analysis of the AHP survey, the weight of direct road disaster influencing factors (drainage facilities, protection facilities, etc.) located inside local roads was 0.742, and the weight of indirect road disaster influencing factors (population, property, etc.) located near local roads. Was found to be 0.258, indicating that the direct impact factor of road disaster was relatively higher than that of the indirect impact factor.

• Spatial Information Research
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• v.22 no.4
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• pp.77-87
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• 2014

Recently there are many disasters caused by volcanic activities such as the eruptions in Tungurahua, Ecuador(2014) and $Eyjafjallaj\ddot{o}kull$, Iceland(2010). Therefore, it is required to prepare countermeasures for the disasters. This study analyzes the Baekdu Mountain area, where is the risky area because it is active volcano, based on the observed data and scientific methods in order to assess a risk, produce a hazard map and analyze a degree of risk caused by the volcano. Firstly, it is reviewed for the research about the Baekdu mountain volcanic eruption in 1215(${\pm}15$ years) done by Liu Ruoxin. And the factors causing volcanic disaster, environmental effects, and vulnerability of Baekdu Mountain are assessed by the dataset, which includes the earthquake monitoring data, the volcanic deformation monitoring data, the volcanic fluid geochemical monitoring data, and the socio-economic statistics data. A hazard, especially caused by a volcano, distribution map for the Baekdu Mountain Area is produced by using the assessment results, and the map is used to establish the disaster risk index system which has the four phases. The first and second phases are very high risky area when the Baekdu Mountain erupts, and the third and fourth phases are less dangerous area. The map shows that the center of mountain has the first phase and the farther area from the center has the lower phase. Also, the western of Baekdu Mountain is more vulnerable to get the risk than the eastern when the factors causing volcanic disasters are equally applied. It seems to be caused by the lower stability of the environment and the higher vulnerability.

• Journal of the Korean Geosynthetics Society
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• v.22 no.2
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• pp.71-83
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• 2023

It is very important to predict the amount of settlement in order to maintain the function of the coastal structure. Finite element analysis methods and real and model experiments are used as methods for this, but this has the disadvantage of requiring a lot of cost and time. Therefore, this study was conducted for the purpose of a simple formula proposal that can easily predict the amount of settlement of the caisson-type quay wall structure. In the research process, after calculating the PSI (Power Spectrum Intensity) of the velocity, the amount of settlement of the structure is calculated by substituting it into the simple formula of the existing gravity breakwater. By comparing and analyzing the amount of settlement of the structure obtained through numerical analysis, it was confirmed that the error between the amount of settlement of the existing simple formula and the amount of settlement of the numerical analysis was large, and it was confirmed that the background could not be considered in the case of the existing simple formula. Therefore, this study proposed a correction factor for the background of the quay wall structure, indicating a simple formula that can obtain the amount of settlement of the caisson-type quay wall structure. Compared to the numerical analysis settlement amount, it was judged that this simple formula had sufficient precision in calculating the caisson-type quay wall settlement amount. In addition, facilities vulnerable to earthquake resistance can be easily extracted in situations where time and cost are insufficient, and it is expected to be used as a screening technique.