• Title/Summary/Keyword: Heavy snowfall

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Analyses of the Heavy Snowfall Event Occurred over the Middle Part of the Korean Peninsula on March 4, 2004 and Suggestions for the Future Forecast (2004년 3월 4일 대설 사례에 관한 분석과 예보를 위한 제안)

  • Cho, Ik-Hyun;Yoo, Hee-Dong;Lee, Woo-Jin;Shin, Kyung-Sup
    • Atmosphere
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    • v.14 no.3
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    • pp.3-18
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    • 2004
  • A heavy snowfall event occurred over the middle part of the Korean peninsula on March 4, 2004. The numerical models of KMA failed to forecast this heavy snowfall event because this event was due to small scale disturbance by low lever convergence and atmospheric instability. The analyses for this heavy snowfall have been performed to give forecasters useful suggestions for forecasting heavy snowfall events in the future. The analyses for the snowfall event were recounted by the Hourly Korean Peninsula Analysis Weather Chart (HKPAWC) presenting on the KMA intranet system. We confirmed that warm air flows of low level into south central Korea in conjunction with strong southwesterly winds played important role in the heavy snowfall event. We suggested several check points to improve the forecast of heavy snowfall events in the future through the results of the analyses.

An Analysis of Importance for Institutional Improvement of Respond of Heavy Snowfall (대설 대응의 제도적 개선을 위한 중요도 분석)

  • Kim, Heejae;Yoon, Sanghoon;Park, Keunoh;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.13 no.3
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    • pp.340-347
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    • 2017
  • This study deducted institutional improvement factors for respond of heavy snowfall disaster and performed AHP analysis for choosing the priority. The result of Analysis, establishment of plan concerned heavy snowfall respond was represented most important factor(Importance : 0.461), this is meaningful establishment of plan is more important than facilities, sources, policies for building system of heavy snowfall respond. Establishment of plan concerned respond was represented most important element(Comprehensive Importance : 0.175) in plan for heavy snowfall respond, it is suggested that establishment of respond plan of heavy snowfall has to need for improving law and institution about heavy snowfall. The result of this study will be useful when the central or local government establish institutional improvement plan for respond of heavy snowfall disaster.

Surface Synoptic Climatic Patterns for Heavy Snowfall Events in the Republic of Korea (우리나라 대설 시 지상 종관 기후 패턴)

  • Choi, Gwang-Yong;Kim, Jun-Su
    • Journal of the Korean Geographical Society
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    • v.45 no.3
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    • pp.319-341
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    • 2010
  • The purposes of this study are to classify heavy snowfall types in the Republic of Korea based on fresh snowfall data and atmospheric circulation data during the last 36(1973/74-2008/09) snow seasons and to identify typical surface synoptic climate patterns that characterize each heavy snowfall type. Four synoptic climate categories and seventeen regional heavy snowfall types are classified based on sea level pressure/surface wind vector patterns in East Asia and frequent spatial clustering patterns of heavy snowfall in the Republic of Korea, respectively. Composite analyses of multiple surface synoptic weather charts demonstrate that the locations and intensity of pressure/wind vector mean and anomaly cores in East Asia differentiate each regional heavy snowfall type in Korea. These differences in synoptic climatic fields are primarily associated with the surge of the Siberian high pressure system and the appearance of low pressure systems over the Korean Peninsula. In terms of hemispheric atmospheric circulation, synoptic climatic patterns in the negative mode of winter Arctic Oscillation (AO) are also associated with frequent heavy snowfall in the Republic of Korea at seasonal scales. These results from long-term synoptic climatic data could contribute to improvement of short-range or seasonal prediction of regional heavy snowfall.

The Study for Damage Effect Factors of Heavy Snowfall Disasters : Focused on Heavy Snowfall Disasters during the Period of 2005 to 2014 (대설 재난의 피해액 결정요인에 관한 연구: 2005~2014년 대설재난을 중심으로)

  • Kim, Geunyoung;Joo, Hyuntae;Kim, HeeJae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.2
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    • pp.125-136
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    • 2018
  • Heavy snowfall disasters are the third most serious natural disasters, after typhoon and heavy rainfall disasters, in terms of economic disaster damage in South Korea. The average annual economic damage of heavy snowfall disasters was approximately eighty-eight billion won during the period of 2005-2014. In spite of significant economic damage, there have been few economic studies regarding heavy snowfall disasters in South Korea. The objective of this research is to identify the association between economic damage of heavy snowfall disasters and damage effect factors of snowfall amounts, snowfall days, population densities, and non-urban area ratios using a regression analysis model. Economic damage data sets of heavy snowfall disasters during the period of 2005-2014 were obtained from the Natural Disaster Yearbook published by the Ministry of Public Safety and Security. Weather-related data sets, such as snowfall amounts and snowfall days were collected from the Korea Meteorological Administration. Demographic and urban data sets, including population densities and non-urban area ratios, were provided by the Local Government Yearbook. Outcomes of this study can assist with heavy snowfall disaster management policies of South Korea.

Economic Loss Assessment caused by Heavy Snowfall - Using Traffic Demand Model and Inoperability I-O Model (대설의 경제적 피해 - 교통수요모형과 불능투입산출모형의 적용)

  • Moon, Seung-Woon;Kim, Euijune
    • Journal of Korea Planning Association
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    • v.53 no.6
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    • pp.117-130
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    • 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.

Tracing March 2004 and December 2005 Heavy Snowfall of South Korea Using NOAA AVHRR Images

  • Shin, Hyung-Jin;Park, Geun-Ae;Kim, Seong-Joon
    • Journal of The Korean Society of Agricultural Engineers
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    • v.49 no.3
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    • pp.33-40
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    • 2007
  • This study is to grasp and analyse the temporal and spatial distribution of record-breaking heavy snowfall rarely occurred in the middle and southwest region of South Korea during March of 2004 and December of 2005 respectively. Snow cover area was extracted using the channels 1, 3 and 4 of NOAA AVHRR images and the snow depth distribution was spatially interpolated using snowfall data of meteorological stations. Using administration boundary and Digital Elevation Model from 1:5,000 NGIS digital map, the snowfall impact was assessed spatially and compared with the reports at that time. The damaged area by heavy snowfall over 15 cm snow depth could be identified successfully within the spatial extent of snowfall area extracted by NOAA AVHRR image.

Operation Case Analyses of Snow Removal Equipments using Information system Technologies (정보 시스템 기술을 적용한 제설장비 운영 사례 분석)

  • Kim, Hee-Jae;Kim, Geunyoung
    • Journal of the Society of Disaster Information
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    • v.14 no.2
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    • pp.154-164
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    • 2018
  • Purpose: Recent climate change makes weather-related disasters such as summer storms, heavy rains, winter snowfall disasters, and extreme cold temperature increase in trend. Heavy snowfall disasters requires speedy response due to various effects to traffic flows, buildings, and infrastructure. Heavy snowfall disaster response of South Korea is insufficient, even though heavy snowfall disasters affect urban safety. There have been lack of policy studies for heavy snowfall disasters. Method: This research analyzes case studies and explores implications using Information system technologies to snow removal vehicles and equipments for speedy snow removal during the heavy snowfall disasters. Results: Information system technology attachment to snow removal equipments can identify locations of snow removal vehicles and equipments for emergency period to support snow removal of adjacent jurisdictions. Conclusion: Case studies of this research can be further used for efficient application of snow removal tools of local governments.

An Analysis of Low-level Stability in the Heavy Snowfall Event Observed in the Yeongdong Region (영동지역 대설 사례의 대기 하층 안정도 분석)

  • Lee, Jin-Hwa;Eun, Seung-Hee;Kim, Byung-Gon;Han, Sang-Ok
    • Atmosphere
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    • v.22 no.2
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    • pp.209-219
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    • 2012
  • Extreme heavy snowfall episodes have been investigated in case of accumulated snowfall amount larger than 50 cm during the past ten years, in order to understand the association of low-level stability with heavy snowfall in the Yeongdong region. In general, the selected 4 events have similar synoptic setting such as the Siberian High extended to East Sea along with the Low passing by the southern Korean Peninsula, eventually inducing easterly in the Yeongdong region. Specifically moist-adiabatically neutral layer has been observed during the heavy snowfall period, which was easily identified using vertical profiles of equivalent potential temperature observed at Sokcho, whereas convective unstable layer has been formed over the East sea due to relatively warm sea surface temperature (SST) about $8{\sim}10^{\circ}C$ and lower temperature around 1~2 km above the surface, obtained from RDAPS. Difference of equivalent potential temperature between 850 hPa and surface as well as difference between air and sea temperatures altogether gradually increased before the snowfall period. Instability-induced moisture supply to the atmosphere from the East sea, being cooled and saturated by the upper cold surge, would make low-level ice cloud, and eventually move inland by the easterly flow. Heavy snowfall will be enhanced in association with low-level convergence by surface friction and upslope wind against Taebaek mountains. This study emphasizes the importance of low level stability in the Yeongdong region using the radiosonde sounding and RDAPS data, which should quantitatively be examined through numerical model as well as heat and moisture supply from the ocean.

Projection of Future Snowfall and Assessment of Heavy Snowfall Vulnerable Area Using RCP Climate Change Scenarios (RCP 기후변화 시나리오에 따른 미래 강설량 예측 및 폭설 취약지역 평가)

  • Ahn, So Ra;Lee, Jun Woo;Kim, Seong Joon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.3
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    • pp.545-556
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    • 2015
  • This study is to project the future snowfall and to assess heavy snowfall vulnerable area in South Korea using ground measured snowfall data and RCP climate change scenarios. To identify the present spatio-temporal heavy snowfall distribution pattern of South Korea, the 40 years (1971~2010) snowfall data from 92 weather stations were used. The heavy snowfall days above 20 cm and areas has increased especially since 2000. The future snowfall was projected by HadGEM3-RA RCP 4.5 and 8.5 scenarios using the bias-corrected temperature and snow-water equivalent precipitation of each weather station. The maximum snowfall in baseline period (1984~2013) was 122 cm and the future maximum snow depth was projected 186.1 cm, 172.5 mm and 172.5 cm in 2020s (2011~2040), 2050s (2041~2070) and 2080s (2071~2099) for RCP 4.5 scenario, and 254.4 cm, 161.6 cm and 194.8 cm for RCP 8.5 scenario respectively. To analyze the future heavy snowfall vulnerable area, the present snow load design criteria for greenhouse (cm), cattleshed ($kg/m^2$), and building structure ($kN/m^2$) of each administrative district was applied. The 3 facilities located in present heavy snowfall areas were about two times vulnerable in the future and the areas were also extended.

Effects of Snowfall Intensity on Freeway Travel Speed (Focused on Seohaean Freeway) (강설에 따른 고속도로 주행속도 변화연구 - 서해안고속도로를 중심으로 -)

  • Hong, Sung-Min;Oh, Cheol;Yang, Chung-Hoen;Jeon, Woo-Hoon
    • International Journal of Highway Engineering
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    • v.14 no.4
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    • pp.93-101
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    • 2012
  • PURPOSES : Adverse weather conditions such as heavy rain, heavy snowfall, and thick fog and so on have highly affect on the change in traffic conditions on the road. In particular, heavy snowfall causes capacity reduction as well as crash occurrence. This study investigated the effects of snowfall on speed on a freeway. METHODS : Vehicle detection systems data were matched with corresponding weather station data by regression analysis. RESULTS : The results show that the travel speed is reduced by 6.7% under little snowfall and by 12.8% under heavy snowfall. Regarding the speed variation, 8.7% and 114.7% increases are observed under little snowfall and heavy snowfall, respectively. It is also found that 1 cm increase in snowfall leads to 0.4% decrease in travel speed. In addition, the travel speed increases by 0.4% when the temperature increases by $1^{\circ}C$. CONCLUSIONS : It is expected that the outcome of this study will be useful in establishing more effective strategies for winter operations and road maintenance in practice.