• Transportation Technology and Policy
• /
• v.8 no.1
• /
• pp.133-136
• /
• 2011

• Journal of the Society of Disaster Information
• /
• v.16 no.1
• /
• pp.21-33
• /
• 2020

Purpose: The objective of this research is to classify snowfall area types with consideration of past regional snowfall characteristics and times for the effective local snow removal response systems of 229 local government districts. Method: This research first collected snowfall data of South Korea meteorological stations, and classified regional types using successive snowfall time. This research finally produced GIS maps using regional type information of snowfalls by applying GIS analysis methods. Result: This research provides five types of snowfall regions including 'frequent heavy snowfall regions', 'frequent light snowfall regions', 'rare heavy snowfall regions', 'average snowfall regions', and 'rare light snowfall regions' based on analysis results. Conclusion: Results of this research can be used as basic information for regional demand estimations of snow removal equipments, materials, vehicles, and personnel for the efficient snow removal response systems.

• Journal of Korea Planning Association
• /
• v.53 no.6
• /
• pp.117-130
• /
• 2018

Heavy snow is a natural disaster that causes serious economic damage. Since snowfall has been increasing recently, there is a need for measures against heavy snowfall. In order to make a policy decision on heavy snowfall, it is necessary to estimate the precise amount of damage by heavy snowfall. The direct damage of the heavy snow is severe, however the indirect damage caused by the road congestion and the urban dysfunction is also serious. Therefore, it is necessary to estimate indirect damage of snowfall. The purpose of this study is to estimate the effects on the regional economy from the limitation in traffic logistics caused by heavy snow using the transport demand model and inoperability input-output Model. The result shows that the amount of production loss caused by the heavy snow is KRW 2,460 billion per year and if the period of snowfall removal is shortened by one day or two days, it could be reduced to KRW 1,219 or 2,787 billion in production loss.

• KIPS Transactions on Software and Data Engineering
• /
• v.8 no.10
• /
• pp.403-410
• /
• 2019

Image de-snowing aims at eliminating the negative influence by snow particles and improving scene understanding in images. In this paper, a perceptual generative adversarial network based a single image snow removal method is proposed. The residual U-Net is designed as a generator to generate the snow free image. In order to handle various sizes of snow particles, the inception module with different filter kernels is adopted to extract multiple resolution features of the input snow image. Except the adversarial loss, the perceptual loss and total variation loss are employed to improve the quality of the resulted image. Experimental results indicate that our method can obtain excellent performance both on synthetic and realistic snow images in terms of visual observation and commonly used visual quality indices.

• Journal of the Korean Society for Railway
• /
• v.11 no.5
• /
• pp.441-448
• /
• 2008

Increasing urban sprawl and climate changes have been causing unexpected high-intensity rainfall events. Thus there are needs to enhance conventional disaster management system for comprehensive actions to secure safety. Therefore long-term and comprehensive flood management plans need to be well established. Recently torrential snowfall are occurring frequently, causing have snow traffic jams on the road. To secure safety and on-time operation of the Bi-modal tram system, well-structured disaster management system capable of analyzing the show pack melt/freezing due to unexpected snowfall are needed. To secure safety of the Bi-modal tram system due to torrential snow-fall, the snow melt simulation capability was investigated. The snow accumulation and snow melt were measured to validate the SWMM snow melt component. It showed that there was a good agreement between measured snow melt data and the simulated ones. Therefore, the Bi-modal tram disaster management system will be able to predict snow melt reasonably well to secure safety of the Bi-modal tram system during the winter. The Bi-modal tram disaster management system can be used to identify top priority area for know removal within the tram route in case of torrential snowfall to secure on-time operation of the tram. Also it can be used for detour route in the tram networks based on the disaster management system prediction.

• Journal of Wetlands Research
• /
• v.25 no.4
• /
• pp.345-352
• /
• 2023

Recently, the risk of snow disasters has been increasing South Korea. The damages of heavy snow were categorized into direct and indirect. Direct damage is usually the collapse of buildings as houses, greenhouse or barns. Indirect damage is various, for example, traffic congestion, traffic acident, drop damage, and so on. In South Korea, direct damage is severe in rural area, mosty collapse of greenhouse or barns. However, indirect damage such as traffic accident is mostly occurred in urban area. Therefore, the regional characteristics should be considered when vulnerability is evaluated. Therefore, in this study, the PSR and DPSIR method were applied by regional scale in South Korea. The PSR evaluation method is divided into pressure, state, and reaction index. however, the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. the DPSIR evaluation method is divided into Driving force, Pressure, State, Impact, and Response index. Data corresponding to each indicator were collected, and the weight was calculated using the entropy method to calculate the snowfall vulnerability index by regional scale in South Korea. Calculated heavy snow damage vulnerabilities from the two methods were compared. The calculated vulnerabilities were validated using the recent snow damage in South Korea from 2018 to 2022. Snow vulnerability index calculated using the DPSIR method showed more reliable results. The results of this study could be utilized as an information to prepare the mitigation of heavy snow damage and to establish an efficient snow removal response system.

• Proceedings of the Materials Research Society of Korea Conference
• /
• 2011.05a
• /
• pp.66.1-66.1
• /
• 2011

반도체를 비롯하여 LCD, OLED와 같은 디스플레이 (FPD: Flat Panel Display) 분야는 국가 선도 사업으로써 발전을 거듭해오고 있다. 하지만 기술의 성숙도가 높아짐에 따라 최근 중국과 대만 업체와의 경쟁이 심화되고 있으며, 더불어 환경문제가 큰 이슈로 떠오르고 있어 신기술 개발을 통한 생산 수율 향상 및 친환경 공정 개발의 중요성이 커지고 있다. 반도체, 디스플레이 공정에서 생산 수율 저하의 주요 원인으로써 공정 중 발생하는 미세 오염 입자를 들수 있다. 반도체 및 디스플레이 공정에서 세정 기술은 전체 기술의 30% 이상을 차지하며 생산 수율 및 제품의 품질에도 큰 영향을 주는 공정이다. 세정 공정은 일반적으로 습식 세정 공정이 낮은 공정비용을 바탕으로 널리 적용되어 왔으나, 기판의 대형화와 패턴의 미세화에 따라 정밀한 세정 스펙이 요구되며 더불어 막대한 양의 초순수와 화학액의 사용으로 인한 공정비용 증가와 환경 규제 강화에 따른 폐수 처리의 문제에 직면하고 있다. 이에 따라 폐수의 양을 줄이며 건조공정을 필요로 하지 않아 공정비용을 줄일 수 있는 건식 세정 공정에 대한 연구가 활발히 진행 되고 있다. $CO_2$ snow jet 세정 기술은 건식 공정으로써 $CO_2$ 가스를 특수하게 제작된 분사 노즐에서 고압으로 가스를 분사하여 이 때 발생되는 순간적인 감압에 의한 단열 팽창으로 생성된 $CO_2$ snow 입자가 기판 표면의 오염물과 물리적 충돌을 하어 세정이 이루어지는 기술이다. 특히 $CO_2$ 세정은 환경과 인체에 무해하며 공정 후 바로 승화하기 때문에 추가적인 폐수처리 공정 등이 필요하지 않고, 건식 공정으로써 수세(Rinse) 공정을 필요로 하지 않기 때문에, 공정비용을 크게 줄일 수 있으며 물반점 발생을 방지 할 수 있는 친환경 건식 공정으로써의 장점을 가지고 있다. 본 연구에서는 자체적으로 개발한 $CO_2$ snow jet을 바탕으로 하여 다양한 공정조건을 변화시켜 세정효율을 측정하는 한편, 최적화 하기 위한 연구를 진행하였으며 더불어 $CO_2$ snow의 세정력을 정량적으로 평가하기 위한 연구를 진행하였다. 실험을 통해 가장 효과적으로 $CO_2$ snow 입자를 배출 할 수 있는 공정 조건으로써 5 bar의 캐리어 가스 압력을 사용하여, 세정력에 가장 큰 영향을 줄 수 있는 분사 노즐과 기판 사이의 거리 및 분사 노즐의 각도 등을 변화시켜 각 조건에 따른 세정효율을 평가하였다. 세정 오염물은 Silica, PSL 표준 입자(Duke scientific, USA)를 정량적으로 웨이퍼에 오염 시킨 후, 파티클 스캐너(Surfscan 6500, KLA-Tencor, USA)를 이용하여 세정 전 후의 오염입자 개수 변화를 통해 정량적으로 세정효율을 평가하였다. 본 연구를 통하여 $CO_2$ snow jet를 이용한 친환경 고효율 건식 세정 공정 메커니즘을 분석하였으며, 노즐과 기판 사이의 간격 및 분사 노즐의 각도 등을 최적화 한 세정 공정을 얻을 수 있었다.

• Journal of the Semiconductor & Display Technology
• /
• v.7 no.4
• /
• pp.29-33
• /
• 2008

Rapid increase of integrity for recent semiconductor industry highly demands the development of removal technology of contaminated particles in the scale of a few microns or even smaller. It is known that the surface cleaning technology using $CO_2$ snow has its own merits of high efficiency. However, the detailed removal mechanism of particles using this technology is not yet fully understood due to the lack of sophisticated research endeavors. The detachment mechanism of particles from the substrates is known to be belonged in four types; rebounding, sliding, rolling and lifting. In this study, a modeling effort is performed to explain the detachment mechanism of a contaminant particle due to the rebounding caused by the vertical collision of the $CO_2$ snow. The Hertz and Johnson-Kendall-Roberts(JKR) theories are employed to describe the contact, adhesion and deformation mechanisms of the particles on a substrate. Numerical simulations are followed for several representative cases, which provide the perspective views on the dynamic characteristics of the particles as functions of the material properties and the initial inter-particle collision velocity.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.3
• /
• pp.246-252
• /
• 2020

Safety accidents have been reported due to falling accumulated snow from cables of cable-supported bridges. In addition to the direct damage caused by falling snow, secondary damage, such as traffic accidents, can occur. Various methods have been proposed to prevent these accidents, but there are still problems in safety and practicality. In this study, a cable robot type was selected as one of the active methods for removing accumulated snow on cables. An attempt was made to increase the climbing ability of the robot to improve the efficiency of snow removal. In addition, the available range of cable diameter for the robot can be adjusted flexibly to be applied to cables used in the field. A high-resolution camera was also installed to check the surface condition of the cable in real time to increase the utility, and be used as a cable inspection robot. A three-axis accelerometer and a tension conversion algorithm were added to measure the tension force of cables. To verify the performance, indoor and field experiments were conducted, and future improvements for the inspection robot were proposed.

• Journal of the Korean GEO-environmental Society
• /
• v.19 no.12
• /
• pp.59-64
• /
• 2018

The damages to the reinforced earth retaining wall are divided into the front wall, foundation, drainage and upper slope. Damage of reinforced earth retaining wall is mainly caused by damage caused by drainage problem in the field. Recently, damage caused by snow removal materials have been occurred. Recently, the amount of snow removal materials used in winter is increasing due to abnormal weather. This chlorides degrades the concrete structure, where the reinforced earth retaining wall was no exception. There has recently been a case in which the front wall of the reinforced earth retaining wall deteriorates due to the chlorides introduced into the back filling portion through the drainage passage. Therefore, in this study, the cause of damages of reinforced earth retaining wall constructed in bridge abutment was analyzed, and an analytical study was conducted on the countermeasure. As a result, it was found that chlorides, which was introduced through the drainage system in the expansion joint of the bridge shift part or the upper structure, is infiltrated into the back part of the reinforced earth retaining wall and damaged. Therefore, it is suggested to improve the drainage system and restored the stiffness of the front wall.