• Disaster Prevention Review
• /
• v.13 no.4
• /
• pp.158-159
• /
• 2011

• Disaster Prevention Review
• /
• v.15 no.1
• /
• pp.30-35
• /
• 2013

• Magazine of the Korean Society of Hazard Mitigation
• /
• v.3 no.1 s.8
• /
• pp.13-17
• /
• 2003

• Magazine of the Korean Society of Hazard Mitigation
• /
• v.10 no.4
• /
• pp.14-23
• /
• 2010

• Magazine of the Korean Society of Hazard Mitigation
• /
• v.10 no.4
• /
• pp.40-41
• /
• 2010

• Disaster Prevention Review
• /
• v.15 no.2
• /
• pp.90-91
• /
• 2013

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
• /
• v.33 no.4
• /
• pp.317-324
• /
• 2015

GNSS was firstly proposed for application in weather forecasting in the mid-1980s. It has continued to demonstrate the practical uses in GNSS meteorology, and other relevant researches are currently being conducted. Precipitable Water Vapor (PWV), calculated based on the GNSS signal delays due to the troposphere of the Earth, represents the amount of the water vapor in the atmosphere, and it is therefore widely used in the analysis of various weather phenomena such as monitoring of weather conditions and climate change detection. In this study we calculated the PWV through the meteorological information from an Automatic Weather Station (AWS) as well as GNSS data processing of a Continuously Operating Reference Station (CORS) in order to analyze the heavy snowfall of the Ulsan area in early 2014. Song’s model was adopted for the weighted mean temperature model (T_m), which is the most important parameter in the calculation of PWV. The study period is a total of 56 days (February 2013 and 2014). The average PWV of February 2014 was determined to be 11.29 mm, which is 11.34% lower than that of the heavy snowfall period. The average PWV of February 2013 was determined to be 10.34 mm, which is 8.41% lower than that of not the heavy snowfall period. In addition, certain meteorological factors obtained from AWS were compared as well, resulting in a very low correlation of 0.29 with the saturated vapor pressure calculated using the empirical formula of Magnus. The behavioral pattern of PWV has a tendency to change depending on the precipitation type, specifically, snow or rain. It was identified that the PWV showed a sudden increase and a subsequent rapid drop about 6.5 hours before precipitation. It can be concluded that the pattern analysis of GNSS PWV is an effective method to analyze the precursor phenomenon of precipitation.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.11 no.8
• /
• pp.2727-2733
• /
• 2010

Existing and developed models of vinyl house are simulated by 3 dimensional and analysis program. When heavy snow lays 250 mm deep, this paper aims to investigate how its load affects the vinyl house and what deformation happens with structural analysis. Its maximum deformation is decreased to more than 50 % by developing this model in comparison with the existing model. Its developed model is more safe than existing model and its manufacturing expense can be reduced.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2011.11a
• /
• pp.59-60
• /
• 2011

In the 21th century, there ate problems of the environment caused by industrialization. for several years, the world has suffered great losses because of unforeseen weather phenomena. to make a system is needed about natural disaster especially to restore disaster on heavy snow, a role of construction temporary system is important. it needs to be construction temporary system to recover through analysing cases of disaster on heavy rain.

• Proceedings of the KAIS Fall Conference
• /
• 2010.05b
• /
• pp.967-970
• /
• 2010

본 연구에서는 비닐하우스 기존모델과 이번에 개발한 모델의 모델링 하였으며, 해석은 폭설이 250mm 왔을 때 쌓인 눈의 하중에 의하여 비닐하우스가 어떠한 변형을 하는 지를 구조해석을 통하여 비교하는 것이 주된 목적이다. 기존의 비닐하우스와 개발한 비닐하우스의 구조에 있어서 개발 모델을 적용함으로서 기존 모델보다 비용이 덜 들고 최대 50% 이상의 변형량을 줄일 수 있어 안정성이 좋고, 그 제작비용도 절감할 수 있다.