• Journal of Korea Water Resources Association
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• v.53 no.4
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• pp.259-271
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• 2020

In Korea, snow damage has happened in the region with little snowfalls in history. Also, accidental damage was caused by heavy snow leads and the public interest on heavy snow has been increased. Therefore, policy about the Natural Disaster Reduction Comprehensive Plan has been changed to include the mitigation measures of snow damage. However, since heavy snow damage was not frequent, studies on snowfall have not been conducted on different points. The characteristics of snow data commonly are not the same as the rainfall data. Some southern coastal areas in Korea are snowless during the year. Therefore, a joint probability distribution was suggested to analyze the snow data with many 0s in a previous research and fitness from the joint probability distribution was higher than the conventional methods. In this study, snow frequency analysis was implemented using the joint probability distribution and compared to the design codes. The results were compared to the design codes. The results of this study can be used as the basic data to develop a procedure for the snow frequency analysis in the future.

• KOREAN POULTRY JOURNAL
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• v.33 no.9 s.383
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• pp.88-91
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• 2001

양계업계에 있어서 금년 상반기는 여러가지 요인들로 힘겨웠던 시간들이었다. 1월 초순 대설로 인한 양계장 붕괴, Virus질병의 만연 등 이로 인한 사육성적 부진으로 사육 농가의 사육 수익성 감소 등의 문제가 많이 발생한 상반기였다. 대설이 천재지변일 수 있자만 우리나라의 양계시설이 부실해서 발생된 피해가 더 컷다고 할 수 있다. 향후 기상이변이 빈번하게 발생되는 추세이며 이에 따른 준비를 철저히 대비하여야만 피해를 줄일 수 있을 것으로 본다. 따라서 본고는 우리나라 육계 사육의 문제점이 여러 가지가 있을 수 있지만 필드에서 사육농가를 지도하며 느낀 육계사육의 문제점을 분석해 보고자 합니다.

• Disaster Prevention Review
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• v.17 no.5
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• pp.35-40
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• 2015

• Water for future
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• v.57 no.1
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• pp.29-37
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• 2024

• KSCE Journal of Civil and Environmental Engineering Research
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• v.32 no.2B
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• pp.103-111
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• 2012

This study is to analyze the spatio-temporal trend of snowfall using 30 years (1980-2010) data for 5 selected heavy snowfall areas (Ulleungdo (a), Northeastern Region (b), Western Taebaek Range Inland Region (c), Northwestern Sobaek Range Inland Region (d) and Southern Coastal Region (e)). The snow depth and snowfall frequency during 30 years showed some decreasing trend in parts of c and d. From the spatial comparison for 2 periods between 1980-2000 (A) and 1990-2010 (B), we could identified that the frequency of advisory for heavy snowfall from A to B decreased in c and d showing clear bounds for some areas in period B. For the average snow depth from A to B, the area d decreased while the area b increased with enlarging the areal range.

• Journal of the Society of Disaster Information
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• v.11 no.1
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• pp.23-34
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• 2015

This Study analyzed heavy snow properties according to the area that was based by winter weather properties and the damage data by the heavy snow among each local government of Chungcheongbuk-do. The result of analysis, Jecheon-si and Boeun-gun are represented the highest dangerous regions by potential degree of risk by average amount of snowfall for 35 years. But, the potential degree of risk by maximum amount of snowfall for 35 years is different with it. Cheongju-si and Youngdong-gun, Goesan-gun, Boeun-gun are represented the highest dangerous regions. Examining the frequency of regions with potential danger factors according to the characteristics of heavy snowfall, Boeun-gun and Jecheon-si, Goesan-gun, Youngdong-gun, Cheongju-si is derived the highest dangerous regions in Chungcheongbuk-do.

• Korean Journal of Remote Sensing
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• v.23 no.2
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• pp.71-87
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• 2007

In this study, 14 heavy snow events in Yeongdong area which are local phenomena are analyzed using MODIS cloud products provided from NASA/GSFC. The clouds of Yeongdong area at observed at specific time by MODIS are classified into A, B, C Types, based on the characteristic of cloud properties: cloud top temperature, cloud optical thickness, Effective Particle Radius, and Cloud Particle Phase. The analysis of relations between cloud properties and precipitation amount for each cloud type show that there are statistically significant correlations between Cloud Optical Thickness and precipitation amount for both A and B type and also significant correlation is found between Cloud Top Temperature and precipitation amount for A type. However, for C type there is not any significant correlations between cloud properties and precipitation amount. A-type clouds are mainly lower stratus clouds with small-size droplet, which may be formed under the low level cold advection derived synoptically in the East sea. B-type clouds are developed cumuliform clouds, which are closely related to the low pressure center developing over the East sea. On the other hand, C-type clouds are likely multi-layer clouds, which make satellite observation difficult due to covering of high clouds over low level clouds directly related with Yeongdong heavy snow. It is, therefore, concluded that MODIS cloud products may be useful except the multi-layer clouds for understanding the mechanism of heavy snow and estimating the precipitation amount from satellite data in the case of Yeongdong heavy snow.

• Disaster Prevention Review
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• v.14 no.1
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• pp.48-66
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• 2012

• Disaster Prevention Review
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• v.17 no.5
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• pp.18-28
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• 2015

• Proceedings of the KSCN Conference
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• 2002.05a
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• pp.430.1-430
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• 2002