• Title/Summary/Keyword: Heavy Snow

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Comparison of Development Mechanisms of Two Heavy Snowfall Events Occurred in Yeongnam and Yeongdong Regions of the Korean Peninsula (영동과 영남 지역에서 발생한 두 대설의 발달 메커니즘 비교)

  • Park, Ji-Hun;Kim, Kyung-Eak;Heo, Bok-Haeng
    • Atmosphere
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    • v.19 no.1
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    • pp.9-36
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    • 2009
  • Two heavy snowfall events occurred in Yeongnam and Yeongdong regions of the Korean Peninsula during the period from 4 to 6 March 2005 are analyzed. The events were developed by two different meso-scale snow clouds associated with an extratropical low passing over the Western Pacific. Based on synoptic data, GOES-9 satellite images, and precipitation amount data, the events were named as Sokcho and Busan cases, respectively. We analyzed the development mechanism of the events using meterological variables from the NCEP(National Centers for Environmental Prediction) /NCAR(National Centers for Atmospheric Research) reanalysis data such as potential vorticity(PV), divergence, tropopause undulation, static stability, and meridional wind circulation. The present analyses show that in the case of Sokcho, the cyclonic circulation in the lower atmosphere in the strong baroclinic region induced the cyclonic circulation in the upper atmosphere. The cyclonic circulation in the lower and upper atmosphere caused a heavy snowfall in the Sokcho region. In the case of Busan, the strong cyclonic circulation in the upper atmosphere was initiated by the stratospheric air intrusion with the high positive PV into the troposphere during the tropopause folding. The upper strong cyclonic circulation enhanced the cyclonic circulation in the lower disturbed atmosphere due to the extratropical low. This lower cyclonic circulation in turn, intensified the upper cyclonic circulation, that caused a heavy snowfall in the Busan region.

Sounding Observation with Wind Profiler and Radiometer of the Yeongdong Thundersnow on 20 January 2017 (2017년 1월 20일 영동 뇌설 사례에 대한 연직바람관측장비와 라디오미터 관측 자료의 분석)

  • Kwon, Ju-Hyeong;Kwon, Tae-Yong;Kim, Byung-Gon
    • Korean Journal of Remote Sensing
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    • v.34 no.3
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    • pp.465-480
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    • 2018
  • On 20 January 2017, the fresh snow cover which is more than 20 cm, accompaning with lightning occurred over Yeongdong coastal region for the first 3-hour of the heavy snowfall event. This study analyzed sounding observations in the heavy snow period which were including the measurements of wind profiler, radiometer and rawinsonde. The features examined from the vertical wind and temperature data at the two adjacent stations, Bukgangneung and Gangneung-Wonju National University, are summarized as follows: 1) The strong (30-40 kts) north-east winds were observed in the level from 2 to 6 km. The Strong atmospheric instability was found from 4 to 6 km, in which the lapse rate of temperature was about $-18^{\circ}C\;km^{-1}$. These features indicate that the deep convective cloud develops up to the height of 6 km in the heavy snowfall period, which is shown in the satellite infrared images. 2) The cooling was observed in the level below 1 km. At this time, the surface air temperature at Bukgangneung station decreased by $4^{\circ}C$. The narrow cooling zone estimated from AWS and buoy data was located in east-west direction. These are the features observed in the cold front of extratropical cyclone. The distributions of radar echo and lightning also show the same shape in east-west direction. Therefore, the results indicate that the Yeongdong thundersnow event was the combined precipitation system of deep convective cloud and cold frontal precipitation.

Design of ICT based Protected Horticulture for Recovering Natural Disaster (ICT기반 시설원예 재해 경감장치 설계)

  • Lee, Meong-Hun;Yoe, Hyun
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.6 no.10
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    • pp.373-382
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    • 2016
  • Under the Agricultural technology is influenced from climate that is requisite of seasonal. So this system will cover the problems and develop the agricultural industry as well. So far, the agricultural industry is developing however, it has the points of the weakness because of natural disasters such as wind risk and heavy snow. This paper designs system to change vinyl on the greenhouse. This is a preliminary study for the real-time feedback control of greenhouse. The study developed a wireless IoT sensor system based on authentic technology capacities, to integrate with the protected horticulture Management System. These system was used to evaluate the levels of the snow cover and wind through IoT devices. The existing greenhouse uses the warm water to clear snow or to change methods. This system will recover by changing the vinyl which is covered outside of the greenhouse. The points of the system is changing vinyl to spin pipe. It is contained extra vinyl. The effects of this system are minimized labor protected crops from natural disasters. For this purpose, the study first developed a wireless IoT sensor unit that integrates an MEMS device and wireless communication module. Also, the study developed an operating program that enables real-time response measurement. It will help operational and maintenance greenhouse as a result.

An Evaluation of Landslide Probability by Maximum Continuous Rainfall in Gangwon, Korea (강원지역의 최대연속강우량에 의한 산사태 발생가능성 평가)

  • Yang, In-Tae;Park, Jae-Kook;Jeon, Woo-Hyun;Chun, Ki-Sun
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.4
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    • pp.11-20
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    • 2007
  • Most natural disasters in Korea are caused by meteorological natural phenomena, which include storms, heavy rains, heavy snow, hail, tidal waves, and earthquakes. Rainfall is the most frequent cause of disasters and accounts for about 80% of all disasters. Particularly in recent years, Korea has seen annual occurrences of natural disasters associated with landslides (slope and retaining wall collapse and burying) due to meteorological causes from the increasing intensity of heavy rains including local heavy rainfalls. In Korea, it is critical to analyze the characteristics of landslides according to rainfall characteristics and to take necessary and proper measures for them. This study assessed the possibility of landslides in the Gangwon region with a geographic information system by taking into account the inducer factors of landslides and the maximum continuous rainfall of each area. It also analyzed areas susceptible to landslides and checked the distribution of landslide-prone areas by considering the rainfall characteristics of those areas.

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A study on chemical properties of soil in roadside trees of Daejeon city (대전시 가로수 식재지 토양의 화학적 특성에 관한 연구)

  • Go, Sohyeon;Park, Gwansoo;Gang, Gilnam;Bang, Byunguk;Kim, Dongil
    • Korean Journal of Agricultural Science
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    • v.32 no.1
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    • pp.1-8
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    • 2005
  • This study was carried out to examine the effect of heavy traffic on chemical properties of soil in roadside trees of Daejeon city. Soil samples at 0~10cm and 10~30cm depths were collected from soil of the roadside trees, Platanus occidentalis, and Ginko biloba, Soil pH in heavy traffic regions were around 7.0 at 0~10cm and 10~30cm soil depths because of spraying of calcium chloride for snow moving. The concentrations of Fe, Cd, Cu, Zn, and Pb in soil were higher in heavy traffic regions(Daejeon Station and Daehwa Industrial Complex) than in light traffic region (Chungnam National University). The result could be from rubbing and wear of car tire and metals when they travel.

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Analysis of Changes in Extreme Weather Events Using Extreme Indices

  • Kim, Byung-Sik;Yoon, Young-Han;Lee, Hyun-Dong
    • Environmental Engineering Research
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    • v.16 no.3
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    • pp.175-183
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    • 2011
  • The climate of the $21^{st}$ century is likely to be significantly different from that of the 20th century because of human-induced climate change. An extreme weather event is defined as a climate phenomenon that has not been observed for the past 30 years and that may have occurred by climate change and climate variability. The abnormal climate change can induce natural disasters such as floods, droughts, typhoons, heavy snow, etc. How will the frequency and intensity of extreme weather events be affected by the global warming change in the $21^{st}$ century? This could be a quite interesting matter of concern to the hydrologists who will forecast the extreme weather events for preventing future natural disasters. In this study, we establish the extreme indices and analyze the trend of extreme weather events using extreme indices estimated from the observed data of 66 stations controlled by the Korea Meteorological Administration (KMA) in Korea. These analyses showed that spatially coherent and statistically significant changes in the extreme events of temperature and rainfall have occurred. Under the global climate change, Korea, unlike in the past, is now being affected by extreme weather events such as heavy rain and abnormal temperatures in addition to changes in climate phenomena.

Development of Arc-horn to be mounted on 154kV Transmission Line Arrester (154kV 송전선로 피뢰기 설치용 아킹혼 개발)

  • Min, Byeong-Wook;Kim, Woo-Kyum;Lee, Buk-Chang;Choi, Han-Yeol;Park, Jae-Ung;Keum, Eui-Yeon
    • Proceedings of the KIEE Conference
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    • 2008.07a
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    • pp.335-336
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    • 2008
  • Overhead transmission lines are mainly crossing mountainous area. They are easily affected in weathers like typhoon, strong wind, lightning, heavy rain, or heavy snow. Sometimes these weathers cause transmission line faults. A lightning flashover is most often fault. Nowadays lightning density in KOREA is growing high and lightning flashovers occur more often. A lightning flashover on transmission line is mostly cleared by momentary operation of a circuit breaker, so power failure happens rarely. However, when both circuits trip simultaneously due to the lightning flashovers on double circuit transmission line, short time power failure and voltage drop happen. KEPCO has used transmission line arresters to avoid double circuit simultaneous trip out since 2003. And transmission line arresters cannot be installed with KEPCO's present metal fittings, so various fittings have been used for each transmission line arrester manufacturer. This paper introduces development and standardization of arc-horn and metal fittings for transmission line arrester which can be used for both existing lines and new lines in KEPCO.

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Analysis of external environmental factors affecting patient transport time

  • LEE, Hyeryeong;PARK, Sang Woong;YUN, Eunjeong;KIM, Dakyeong;CHOI, Hea Kyung
    • The Korean Journal of Food & Health Convergence
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    • v.8 no.6
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    • pp.11-17
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    • 2022
  • Emergency transport is directly related to the life of the patient, and rapid transport to the hospital is crucial. However, external environmental factors such as traffic or weather, interfere with hospital transport. In this study, we investigated the external environment affecting hospital transport time. We examined the transfer time and patient treatment time of emergency patients in an area of northern Gyeonggi-do from 2018 to 2020. Diagnosis after arrival at the hospital was used, and on-site treatment time was measured from paramedic arrival time at the scene to departure. Furthermore, we examined whether there was a correlation between the time paramedics left the scene and hospital arrival time through the reason for the delay as recorded in the emergency log. Traffic jams had the greatest impact on patient transport, while transport delays occurred due to heavy rain, but not snow. Among injured patients, electrical accidents were the most problematic in terms of on-site treatment time. This was because a lot of first aid is needed in electrical accidents. It must be necessary to mobilize two ambulances in an emergency through the expansion of infrastructure, prepare a plan for rapid transport in heavy rain, and implement strong laws against transport obstruction.

Jointly Learning of Heavy Rain Removal and Super-Resolution in Single Images

  • Vu, Dac Tung;Kim, Munchurl
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2020.11a
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    • pp.113-117
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    • 2020
  • Images were taken under various weather such as rain, haze, snow often show low visibility, which can dramatically decrease accuracy of some tasks in computer vision: object detection, segmentation. Besides, previous work to enhance image usually downsample the image to receive consistency features but have not yet good upsample algorithm to recover original size. So, in this research, we jointly implement removal streak in heavy rain image and super resolution using a deep network. We put forth a 2-stage network: a multi-model network followed by a refinement network. The first stage using rain formula in the single image and two operation layers (addition, multiplication) removes rain streak and noise to get clean image in low resolution. The second stage uses refinement network to recover damaged background information as well as upsample, and receive high resolution image. Our method improves visual quality image, gains accuracy in human action recognition task in datasets. Extensive experiments show that our network outperforms the state of the art (SoTA) methods.

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Development of Yeongdong Heavy Snowfall Forecast Supporting System (영동대설 예보지원시스템 개발)

  • Kwon, Tae-Yong;Ham, Dong-Ju;Lee, Jeong-Soon;Kim, Sam-Hoi;Cho, Kuh-Hee;Kim, Ji-Eon;Jee, Joon-Bum;Kim, Deok-Rae;Choi, Man-Kyu;Kim, Nam-Won;Nam Gung, Ji Yoen
    • Atmosphere
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    • v.16 no.3
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    • pp.247-257
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    • 2006
  • The Yeong-dong heavy snowfall forecast supporting system has been developed during the last several years. In order to construct the conceptual model, we have examined the characteristics of heavy snowfalls in the Yeong-dong region classified into three precipitation patterns. This system is divided into two parts: forecast and observation. The main purpose of the forecast part is to produce value-added data and to display the geography based features reprocessing the numerical model results associated with a heavy snowfall. The forecast part consists of four submenus: synoptic fields, regional fields, precipitation and snowfall, and verification. Each offers guidance tips and data related with the prediction of heavy snowfalls, which helps weather forecasters understand better their meteorological conditions. The observation portion shows data of wind profiler and snow monitoring for application to nowcasting. The heavy snowfall forecast supporting system was applied and tested to the heavy snowfall event on 28 February 2006. In the beginning stage, this event showed the characteristics of warm precipitation pattern in the wind and surface pressure fields. However, we expected later on the weak warm precipitation pattern because the center of low pressure passing through the Straits of Korea was becoming weak. It was appeared that Gangwon Short Range Prediction System simulated a small amount of precipitation in the Yeong-dong region and this result generally agrees with the observations.