• KOREAN POULTRY JOURNAL
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• v.52 no.2
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• pp.127-127
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• 2020

• Monthly Duck's Village
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• s.235
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• pp.42-43
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• 2023

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.713-718
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• 2014

This paper proposed a real-time monitoring system that can realize effective operation of snowplows each of the local autonomous entities secures to cope with disasters in Korea like a wintertime heavy snowfall and also can promptly cope with the spot facing a heavy snowfall disaster by doing real-time monitoring on the information of the snow-removal site and the mobility of the vehicles. Also, the study has designed a relay terminal analysis tool so that the proposed system can analyze all kinds of controlling information and diagnose the relay terminal effectively. The proposed system can realize effective and emergent coping with the situations of a heavy snowfall disaster through real-time routing trace as well as effective work progress within a short time by doing real-time monitoring on the information about the status of snow-removal work and vehicle controlling for snow-removal work as well as the location information of snow-removal vehicles in the situations of a heavy snowfall.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.33 no.4
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• pp.305-316
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• 2015

The GPS signal delays in troposphere, which are along the signal path between a transmitting satellite and GPS permanent station, can be used to retrieve the precipitable water vapor. The GPS remote sensing technique of atmospheric water vapor is capable of monitoring typhoon and detecting long term water vapor for tracking of earth’s climate change. In this study, we analyzed GPS precipitable water vapor variations during the heavy snowstorm event occurred in the Yeongdong area, 2014. The results show that the snowfall event were occurring after the GPS precipitable water vapor were increased, the maximum fresh snow depth was recorded after the maximum GPS precipitable water vapor was generated, in Kangneug and Wuljin, respectively. Also, we analyzed that the closely correlation among the GPS precipitable water vapor, the K-index and total index which was acquired by the upper air observation system during this snowstorm event was revealed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.2
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• pp.257-262
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• 2019

In order to investigate hydrological behavior of the east coast snowfall in February 2014, this study analyzed the changes of the hydrological components due to the snowmelt in the Ssangcheon watershed nearby Sokcho city. The temporal changes of hydrological components through snowfall and snowmelt processes were simulated using SWAT-MODFLOW. As a result of the analysis, snow accumulated until February is fully melted from the late March, 2014, and the stream discharge of April is more than doubled compared to the case of not considering snowmelt. The soil moisture also increased by up to 21 % due to the melting and the groundwater level rose by about 40 cm until the end of April. Thus, the heavy snowfall in February 2014 is considered to play an important role in securing water resources in this region.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.39 no.6
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• pp.859-867
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• 2019

Severe weather conditions, such as heavy snowfall, rain, heatwave, etc., may affect travel behaviors of people and finally change traffic patterns in transportation networks. To deal with those changes and prevent any negative impacts on the transportation system, understanding those impacts of severe weather conditions on the travel patterns is one of the critical issues in the transportation fields. Hence, this study has focused on the impacts of a weather condition on travel patterns of public transportations, especially when a heavy snowfall which is one of the most critical weather conditions. First, this study has figured out the most significant weather condition affecting changes of public transport ridership using weather information, card data for public transportation, mobile phone data; and then, developed a decision-tree model to determine complex inter-relations between various factors such as socio-economic indicators, transportation-related information, etc. As a result, the trip generation of public transportations in Seoul during a heavy snowfall is mostly related to average access times to subway stations by walk and the number of available parking lots and spaces. Meanwhile, the trip attraction is more related to business and employment densities in that destination.

• Disaster Prevention Review
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• v.14 no.1
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• pp.114-122
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• 2012

• The Safety technology
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• no.109
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• pp.38-38
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• 2007

• Magazine of the Korean Society of Hazard Mitigation
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• v.4 no.1 s.12
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• pp.62-67
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• 2004

• KAPE Magazine
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• s.203
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• pp.41-41
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• 2013