• 한국항공운항학회지
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• 제18권3호
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• pp.42-54
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• 2010

The purpose of this study is to analyze the aircraft icing index of Korean peninsula using the numerical weather prediction model, KWRF and pilot weather report data. As comparing the pilot weather report data with the calculated icing index using the KWRF model result, SCLW, RAP, and AFGWC index are more useful than any other index, and IC2, NAWAU, and RSID index are different case by case. But IC1, SID1 and SID2 index show that these overestimated severe icing in every vertical level. Through this icing study, it is expected that this study will help to develop the proper icing index of Korean peninsula.

• 한국항공운항학회지
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• 제19권3호
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• pp.54-60
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• 2011

The purpose of this study is verification of threshold of the aircraft turbulence index and icing index using PIREPs and KWRF on Korean peninsula, to operational weather support. There is improvement in new threshold value made of the pilot weather report data and the turbulence and icing index from KWRF model result, using the ROC Diagram method. the accuracy is up to 0.6 compared with the precedent study result 0.5. Through this study, It is founded on the research and development of the Korean peninsula aircraft turbulence and icing.

• 한국조경학회지
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• 제44권2호
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• pp.122-129
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• 2016

본 연구는 도심 내에서 공원 및 가로수 주변에 식재된 대표적인 세 가지 상록 관목류인 사철나무(Euonymus japonica), 영산홍(Rhododendron indicum), 회양목(Buxus koreana) 등을 중심으로 겨울철 염화칼슘($CaCl_2$) 처리에 따른 생육 및 생리적 반응을 살펴봄으로써, 내염성 정도와 제설제 피해지역에 대한 내성수종을 선별하기 위한 자료로 제시하고자 한다. 염화칼슘을 각각 0%(대조구), 0.5%, 1.0%, 3.0%, 5.0% 처리한 실험구에 2014년 11월에 정식한 후 이듬해 이른 봄인 2015년 3월에 수고, 엽장, 엽폭, 엽형지수, 엽수, 생체중, 건조중, 건물률, R/T율, 엽록소함량, 엽록소형광반응, 광합성률, 기공전도도, 증산율 등의 생육 및 생리적 특성을 조사하였다. 사철나무는 3.0% 이하, 영산홍과 회양목은 1.0% 이하의 처리구에서 생존이 가능하였으며, 사철나무가 영산홍과 회양목에 비해 생육적 감소율이 비교적 낮았다. 염화칼슘 처리농도가 높을수록 대조구에 비해 생리적 반응들이 감소되는 것은 동일하나, 영산홍과 회양목은 감소세가 비교적 뚜렷한 반면, 사철나무가 완만한 감소세를 보이고 있다. 특히, 처리농도가 높아짐에 따라 영산홍은 증산율을, 회양목은 광합성율과 기공전도도를 억제시키는 경향을 보였다. 이러한 결과를 통해 사철나무가 영산홍과 회양목에 비해 염해에 좀 덜 민감한 수종임을 알 수 있어 제설제 피해지역에 상록 관목류로 적용이 가능할 것으로 본다.

• 대기
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• 제33권5호
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• pp.519-530
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• 2023

Deep convection can make adverse effects on safe and efficient aviation operations by causing various weather hazards such as convectively-induced turbulence, icing, lightning, and downburst. To prevent such damage, it is necessary to accurately predict spatiotemporal distribution of deep convective area near the airport and airspace. This study developed a new index, the Aviation Convective Index (ACI), for deep convection, using the operational global Unified Model of the Korea Meteorological Administration. The ACI was computed from combination of three different variables: 3-hour maximum of Convective Available Potential Energy, averaged Outgoing Longwave Radiation, and accumulative precipitation using the fuzzy logic algorithm. In this algorithm, the individual membership function was newly developed following the cumulative distribution function for each variable in Korean Peninsula. This index was validated and optimized by using the 1-yr period of radar mosaic data. According to the Receiver Operating Characteristics curve (AUC) and True Skill Score (TSS), the yearly optimized ACI (ACI_YrOpt) based on the optimal weighting coefficients for 1-yr period shows a better skill than the no optimized one (ACI_NoOpt) with the uniform weights. In all forecast time from 6-hour to 48-hour, the AUC and TSS value of ACI_YrOpt were higher than those of ACI_NoOpt, showing the improvement of averaged value of AUC and TSS by 1.67% and 4.20%, respectively.