• 제목/요약/키워드: High Impact Weather

검색결과 203건 처리시간 0.026초

해안지형의 복잡성에 따른 해풍침투 변화가 대기경계층에 미치는 영향 분석 (Impact of the Variation of Sea Breeze Penetration due to Terrain Complexity on PBL Development)

  • 박순영;이화운;이순환;이귀옥;지효은
    • 한국환경과학회지
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    • 제20권2호
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    • pp.275-289
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    • 2011
  • In order to clarify the relation between sea breeze penetration and Planetary Boundary Layer development in southeastern part of the Korean Peninsula, several numerical assessments were carried out using atmospheric numerical model WRF(Weather Research and Forecasting). Compared with onset time of sea breeze at eastern coast area(Uljin), the time at southern coast region(Masan) with complex costal line tend to delay for several hours. The penetration patterns of sea breeze between two coastal regions are some different due to the shape of their coastal line and back ground topography. Intensified valley wind due to high topography of lee side of Uljin can help penetration of sea breeze at early time. So penetration of sea breeze at early time often prevent PBL to develop at Uljin and lower PBL height last for a day time. But because of late penetration of sea breeze at Masna, PBL Height dramatically decrease after 1500LST. The distribution of front genesis function based on the heat and momentum variation are explained obviously the sea breeze penetration patterns and agreed well with the PBL height distribution.

Identification of genes related to ER stress in bZIP28 gene transgenic potato plant

  • Kim, Dool Yi;Kim, Kyung Hwa;Choi, Man Soo;Ok, Hyun Choog;Kim, Jae Hyun
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.153-153
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    • 2017
  • Potato (Solanum tubersosum L.) is susceptible to various environmental stresses such as frost, high temperature, and drought. Enhancement of potato drought tolerance can reduce yield loss under drought that has negative effect on potato tuber growth. Genetic engineering can be utilized to achieve this goal, but such approaches using endogenous potato genes have rarely been applied. Since unpredictable global weather changes cause more severe and frequent water limiting conditions, improvement of potato drought tolerance can minimize such adverse effects under drought and can impact on sustainable potato production. Genetic engineering can be utilized to improve potato drought tolerance, but such approaches using endogenous potato genes have rarely been applied. We were obtained AtbZIP28 gene transgenic potato plants. It is identified transcript levels at various stress conditions, polyethylene glycol (PEG), NaCl, abscisic ${\underline{acid}}$ (ABA). Also, For identification to regulate ER stress response genes in AtbZIP28 gene transgenic potato plant, we screened seven potato genes from RNA-seq analysis under TM treatment. Five and two genes were up- and down-regulated by TM, respectively. Their expression patterns were re-examined at stress agents known to elicit TM, DTT, DMSO and salt stress.

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Temporal Dynamics and Patterning of Meiofauna Community by Self-Organizing Artificial Neural Networks

  • Lee, Won-Cheol;Kang, Sung-Ho;Montagna Paul A.;Kwak Inn-Sil
    • Ocean and Polar Research
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    • 제25권3호
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    • pp.237-247
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    • 2003
  • The temporal dynamics of the meiofauna community in Marian Cove, King George Island were observed from January 22 to October 29 1996. Generally, 14 taxa of metazoan meiofauna were found. Nematodes were dominant comprising 90.12% of the community, harpacticoid 6.55%, and Kinorhynchs 1.54%. Meiofauna abundance increased monthly from January to May 1996, while varying in abundance after August 1996. Overall mean abundance of metazoan meiofauna was $2634ind./10cm^2$ during the study periods, which is about as high as that found in temperate regions. Nematodes were most abundant representing $2399ind./10cm^2$. Mean abundance of harpacticoids, including copepodite and nauplius was $131ind./10cm^2$ by kinorhynchs $(26ind./10cm^2)$. The overall abundance of other identified organisms was $31ind./10cm^2$ Other organisms consisted of a total of 11 taxa including Ostracoda $(6ind./10cm^2)$, Polycheata $(7ind./10cm^2)$, Oligochaeta $(8ind./10cm^2)$, and Bivalvia $(6ind./10cm^2)$. Additionally, protozoan Foraminifera occurred at the study area with a mean abundance of $263ind./10cm^2$. Foraminiferans were second in dominance to nematodes. The dominant taxa such as nematodes, harpacticoids, kinorhynchs and the other tua were trained and extensively scattered in the map through the Kohonen network. The temporal pattern of the community composition was most affected by the abundance dynamics of kinorhynchs and harpacticoids. The neural network model also allowed for simulation of data that was missing during two months of inclement weather. The lowest meiofauna abundance was found in August 1996 during winter. The seasonal changes were likely caused by temperature and salinity changes as a result of meltwater runoff, and the physical impact by passing icebergs.

온톨로지기반 상황인지 추론시스템 설계 및 구현 - 여행정보안내 스마트폰 앱을 사례로 (Design and Implementation of Context Awareness Inference System Based on Ontology - Focusing on Tour Information Guidance SmartPhone Application)

  • 이재길;주용진;박수홍
    • 대한공간정보학회지
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    • 제20권4호
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    • pp.67-75
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    • 2012
  • 지난 몇 년 동안 스마트 기기의 보급을 통해 위치기반서비스(LBS)가 사회와 산업 등 여러 곳에서 주목을 받았다. 위치기반서비스는 사용자의 위치를 중요한 요소로 사용하기 때문에 모바일 사용자의 활용도가 높다. 현재 위치기반서비스는 사용자의 위치에 대한 정보만 고려하고 있으며, 이는 개인화된 서비스를 제공함에 한계가 있다. 따라서 검색 결과의 정확성에 큰 영향을 끼치는 움직임, 교통상황, 날씨, 시간, 개인정보, 선호도 등에 관한 상황정보를 고려된 서비스의 지원에 대한 필요성이 제시되고 있다. 본 연구에서는 사용자의 움직임, 선호도, 스케줄을 고려한 상황인지 추론 시스템을 설계하고, 사용자에게 개인화된 정보를 추론함에 있다. 이를 위해 Movemnet 온톨로지, 사용자 프로파일 온톨로지, 스케줄 온톨로지, 과업 온톨로지를 구축하고 이에 기반하여 스마트 어플리케이션을 개발하였다. 제작된 어플리케이션을 통해 사용자의 선호도와 움직임, 이동방향에 따른 적절한 추천 결과가 도출됨을 보였다.

서울시 도시기온 변화에 관한 모델 연구 (Statistical Models of Air Temperatures in Seoul)

  • 김학열;김운수
    • 한국조경학회지
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    • 제31권3호
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    • pp.74-82
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    • 2003
  • Under the assumption that the temperature of one location is closely related to land use characteristics around that location, this study is carried out to assess the impact of urban land use patterns on air temperature. In order to investigate the relationship, GIS techniques and statistical analyses are utilized, after spatially connecting urban land use data in Seoul Metropolitan Area with atmospheric data observed at Automatic Weather Stations (AWS). The research method is as follows: (1) To find out important land use factors on temperature, simple linear regressions for a specific time period (pilot study) are conducted with urban land use characteristics, (2) To make a final model, multiple regressions are carried out with those factors and, (3) To verify that the final model could be appled to explain temperature variations beyond the period, the model is extensively used for 5 different time periods: 1999 as a whole; summer in 1999; 1998 as a whole; summer in 1998; August in 1998. The results of simple linear regression models in the pilot study show that transportation facilities and open space area are very influential on urban air temperature variations, which explain 66 and 61 percent of the variations, respectively. However, the other land use variables (residential, commercial, and mixed land use) are found to have weak or insignificant relationship to the air temperatures. Multiple linear regression with the two important variables in the pilot study is estimated, which shows that the model explains 75 percent of the variability in air temperatures with correct signs of regression coefficients. Thus, it is empirically shown that an increase in open space and a decrease in transportation facilities area can leads to the decrease in air temperature. After the final model is extensively applied to the 5 different time periods, the estimated models explain 68 ∼ 75 percent of the variations in the temperatures is significant regression coefficients for all explanatory variables. This result provides a possibility that one air temperature model for a specific time period could be a good model for other time periods near to the period. The important implications of this result to lessen high air temperature we: (1) to expand and to conserve open space and (2) to control transportation-related factors such as transportation facilities area, road pavement and traffic congestion.

2020 강원영동 강풍 관측에서 지상 바람의 공간 변동성 분석 (Analysis of Spatial Variability of Surface Wind during the Gangwon Yeongdong Wind Experiments (G-WEX) in 2020)

  • 김유정;권태영
    • 대기
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    • 제31권4호
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    • pp.377-394
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    • 2021
  • The recent largest forest fire in the Yeongdong region, Goseung/Okgae fires of 2019 occurred during YangGang wind event. The wind can be locally gusty and extremely dry, particularly in the complex terrain of Yeongdong. These winds can cause and/or rapidly spread wildfires, the threat of which is serious during the dry spring season. This study examines the spatial variability of the surface wind and its coupling with the upper atmospheric wind using the data during the IOP of the Gangwon Yeongdong Wind Experiments (G-WEX) conducted in 2020 and the data during YangGang wind event on 4~5 April 2019. In the case of IOPs, strong wind at the surface with a constant wind direction appears in the mountain area, and weak wind with large variability in wind direction appears from foothill to the coast in the vicinity of Gangneung region. However, in the 2019 event, strong wind at the surface with a constant wind direction appears in the entire region from the mountain to the coast, even with the stronger wind in the coast than in some part of the mountain area. The characteristics of the upper atmospheric wind related with the spatial distribution of surface wind show that during IOPs of G-WEX, a strong downdraft exists near the mountaintop in the level of about 1 to 4 km. However, in the 2019 event a strong downdraft is reinforced, when its location moves toward the coast and descends close to the ground. These downdrafts are generated by the breaking of mountain waves.

스몰 딥러닝을 이용한 아스팔트 도로 포장의 균열 탐지에 관한 연구 (A Study on Crack Detection in Asphalt Road Pavement Using Small Deep Learning)

  • 지봉준
    • 한국지반환경공학회 논문집
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    • 제22권10호
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    • pp.13-19
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    • 2021
  • 아스팔트 포장의 균열은 날씨의 변화나 차량에 의한 충격으로 발생하며, 균열을 방치할 경우 포장 수명이 단축되고 각종 사고를 불러 일으킬 수 있다. 따라서 아스팔트 도로 포장의 균열을 빠르게 감지하여 보수조치를 취하기 위하여 이미지를 통해 균열을 자동으로 탐지하기 위한 연구들이 지속되어 왔다. 특히 최근들어 Convolutional Neural Network를 사용하여 아스팔트 도로 포장의 균열을 탐지하려는 모델들이 많이 연구되고 있으나, 고성능의 컴퓨팅 파워를 요구하기 때문에 실제 활용에는 한계가 있다. 이에 본 논문에서는 모바일 기기에 적용 가능한 스몰 딥러닝 모델을 적용하여 아스팔트 도로 포장의 균열을 탐지하는 모델의 개발을 위한 프레임워크를 제안한다. 사례연구를 통해 제안한 스몰 딥러닝 모델은 일반적인 딥러닝 모델들과 비교 연구되었으며, 상대적으로 적은 파라미터를 가지는 모델임에도 일반적인 딥러닝 모델들과 유사한 성능을 보였다. 개발된 모델은 모바일 기기나 IoT에 임베디드 되어 사용될 수 있을 것으로 기대된다.

WRF 모형에서 한반도 여름철 강수 예측에 모의영역이 미치는 영향 (Effect of Model Domain on Summer Precipitation Predictions over the Korean Peninsula in WRF Model)

  • 김형규;이혜영;김주완;이승우;부경온;이송이
    • 대기
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    • 제31권1호
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    • pp.17-28
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    • 2021
  • We investigated the impact of domain size on the simulated summer precipitation over the Korean Peninsula using the Weather Research and Forecasting (WRF) model. Two different domains are integrated up to 72-hours from 29 June 2017 to 28 July 2017 when the Changma front is active. The domain sizes are adopted from previous RDAPS (Regional Data Assimilation and Prediction System) and current LDAPS (Local Data Assimilation and Prediction System) operated by the Korea Meteorological Administration, while other model configurations are fixed identically. We found that the larger domain size showed better prediction skills, especially in precipitation forecast performance. This performance improvement is particularly noticeable over the central region of the Korean Peninsula. Comparisons of physical aspects of each variable revealed that the inflow of moisture flux from the East China Sea was well reproduced in the experiment with a large model domain due to a more realistic North Pacific high compared to the small domain experiment. These results suggest that the North Pacific anticyclone could be an important factor for the precipitation forecast during the summer-time over the Korean Peninsula.

아문젠해 서남극 빙붕 용융과 영향에 대한 고찰: 연구동향 및 과학적 질문 (Review of the Melting of West Antarctic Ice Shelves in the Amundsen Sea and Its Influence: Research Issues and Scientific Questions)

  • 윤승태
    • Ocean and Polar Research
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    • 제45권3호
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    • pp.155-172
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    • 2023
  • The collapse of ice shelves is a process that can severely increase the rise of global sea-levels through the reduction of the buttressing effect of ice shelves and the consequent acceleration of the ice flow of ice sheets. In recent years, the West Antarctic ice shelves in the Amundsen Sea, whose buttressing effect is essential for a great part of the West Antarctic ice sheet, have been experiencing the most rapid melting and thinning in the world. The melting of the West Antarctic ice shelves is caused primarily by heat transported by Circumpolar Deep Water (CDW). For this reason, it is important to investigate ice-ocean interactions that could influence the melting of ice shelves and evaluate the stability of West Antarctic ice shelves. A lot of researchers have been actively investigating the West Antarctic ice shelves in the Amundsen Sea. High-impact journals have recognized the importance of and published studies on ice-ocean interactions occurring near and under the ice shelves as well as the connections among ice shelves. However, in situ observations are limited due to extreme weather and sea-ice conditions near the ice shelves; therefore, many scientific questions remain unanswered. This study introduces the characteristics of the Amundsen Sea and investigate the past and latest research issues in this region. This study also gives suggestions regarding important scientific questions and directions for future research that should help early-career scientists take the lead in future research on the melting dynamics of the West Antarctic ice shelves in the Amundsen Sea.

영동지역 장기간(2000~2020년) 활강 강풍 특성 (Characteristics of Long-term (2000~2020) Downslope Windstorm in the Yeongdong Region)

  • 정지훈;김병곤;채유진;최영길;김지윤;임병환
    • 대기
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    • 제33권1호
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    • pp.21-32
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    • 2023
  • Characteristics of downslope windstorm (DW) has been examined mainly based on 1-min average wind and the other meteorological conditions in the Yeongdong region for 2000~2020. First, a classification procedure for the downslope windstorm is proposed using surface wind speed (greater than 99 percentile), 1-hour longevity of strong wind (SW), westerly wind direction, low humidity (less than 20 percentile), and leeside warming. The number of DW days satisfying the proposed criteria is 221 (2.9% of total days and 47.5% of SW days) while the number of SW days is 465 (6.1% of total days) for 2000~2020. The occurrences of both SW and DW shows distinctive annual variation with its peak in April. In addition, mean wind speed of DW days is 8.2 m s-1 with its duration of 2 hr 30 min and relative humidity of 28% at Gangneung. An episode (7 May 2021) was selected by applying the proposed criteria to SW days of 2021. The sounding shows that the layer of wind speed greater than 25 m s-1 was lowered down to 925 hPa at Gangneung (leeside) relative to 850 hPa at Hoengseong (Wonju), in the afternoon along with significant warming and drying. Froude numbers of Wonju and Gangneung for the DW events were increased 4 and 5 times greater than those of normal days, respectively. This kind of DW long-term statistics in the leeside of the mountains is thought to build a foundation of further understanding DW mechanism.