• 한국항공운항학회지
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• 제28권1호
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• pp.45-58
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• 2020

According to the Ministry of Land, Infrastructure and Transport press release ('18.12.21.) The amendment of the Aviation Business Act will reduce the capital requirements for aviation leisure operators and make it easier to enter aviation leisure businesses by improving regulations on small air transportation business. In addition, as the scale of the UAV(Unmanned Aerial Vehicle) sector is expected to increase globally, the dramatic increase in low altitude operating aircraft, including this, must be taken into account. The low altitude aircraft category is divided into small airplanes, helicopters, light aircrafts and ultra-light aircrafts, and instructors include school instructor pilots and student pilots, military and national helicopter pilots, and aviation leisure operators. In case of low altitude aircraft, there are cases of canceling operations due to low visibility and low clouds, and aircraft accidents due to excessive operation and sudden weather phenomenon. Therefore, in order to prevent low-altitude aircraft accidents, a safe flight plan based on weather conditions and weather forecasts and more accurate and local weather forecasts and weather forecast data are needed to prepare for the rapidly changing weather conditions.

• 대한원격탐사학회지
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• 제39권6_1호
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• pp.1331-1339
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• 2023

항공기상청은 국가항행계획(National ATM Reformation and Enhancement Plan, NARAE)을 지원하기 위해 NARAE-Weather 프로젝트를 통한 궤적기반 항공기상 서비스를 개발 중에 있다. 특히, 기상자료는 표준화된 형식의 디지털 데이터를 제공하므로 항공기상 데이터와 항공교통 정보와 통합하는 것이 가능하다. 따라서 본 논문에서는 수치모델 자료의 구조화를 통해 기상 정보와 비행 궤적 정보의 데이터 통합을 위한 접근 방식을 제안하였다. 구조 변환된 자료를 활용한 추출결과는 성능 측면에서 원본자료에서 추출한 결과보다 우수한 결과를 보였으며, 해당 연구를 통해 항공 운항의 안전성과 효율성을 향상시키는데 도움이 될 것이다.

• 전자통신동향분석
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• 제36권4호
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• pp.48-60
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• 2021

Following the global air-traffic market growth outlook, urgency of technical development is needed in responding to changes in the international air-traffic management paradigm and to prepare technology securing and spreading strategies, which are consistent with systematic aviation weather service policies and evolution direction. Although air traffic has decreased significantly due to COVID-19, normalcy is expected from 2024, as announced by IATA. According to the future air transportation market outlook and development trends of related technologies, Korea has established and implementing the next-generation air transportation system construction plan(NARAE) to secure international competitiveness and leadership in the future. Therefore, this paper describes the technical, economic background and requirements of numerical model-based aviation weather R&D projects for successful implementation of domestic NARAE plans and providing aviation safety and air traffic service efficiency. Furthermore, we proposed numerical-model-based technology development content, strategies and detailed load-map.

• 한국항공운항학회지
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• 제20권4호
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• pp.70-75
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• 2012

This paper is part of the research about the selection and justification of Jeju international airport as an aircraft category 'F' alternative airport, which is the results of an weather analysis based on meteorological statistics. As the results of the study, it has been only 1 day per year (58minutes) that weather conditions of Incheon and Jeju international airports, from January 2006 to June 2011, are below landing weather minimums of each airport at the same times. This means that these airports are not within the same meteorological region, which is against the current orthodoxy. In addition, it is very rare that weather conditions of Jeju international airports are below landing weather minimums when Incheon international airport is below landing weather minima. It shows that the meteorological characteristics of these regions differ widely and the designation of Jeju international airport as an alternative airport is scientifically reasonable.

• 한국항공운항학회:학술대회논문집
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• 한국항공운항학회 2006년도 추계학술대회 논문집
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• pp.28-32
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• 2006

• International Journal of Advanced Culture Technology
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• 제6권4호
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• pp.190-194
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• 2018

The runway visual range is one of the important factors that decide the possibility of taking offs and landings of the airplane at local airports. The runway visual range is affected by weather conditions like fog, wind, etc. The pilots and aviation related workers check a local weather forecast such as runway visual range for safe flight. However there are several local airfields at which no other forecasting functions are provided due to realistic problems like the deterioration, breakdown, expensive purchasing cost of the measurement equipment. To this end, this study proposes a prediction model of runway visual range for a local airport by applying convolutional neural network that has been most commonly used for image/video recognition, image classification, natural language processing and so on to the prediction of runway visual range. For constituting the prediction model, we use the previous time series data of wind speed, humidity, temperature and runway visibility. This paper shows the usefulness of the proposed prediction model of runway visual range by comparing with the measured data.

• 한국항공운항학회지
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• 제29권4호
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• pp.1-20
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• 2021

Due to the recent rapid increase in passenger and cargo air transport demand, the capacity of Jeju International Airport has been approaching its limit. Even though in COVID-19 crisis which has started from Nov 2019, Jeju International Airport still suffers from strong demand in terms of air passenger and cargo transportation. However, it is an undeniable fact that the delay has also increased in Jeju International Airport. In this study, we analyze the correlation between weather and delayed departure operation based on both datum collected from the historical airline operation information and aviation weather statistics of Jeju International Airport. Adopting machine learning techniques, we then analyze weather condition Jeju International Airport and construct a delay prediction model. The model presented in this study is expected to play a useful role to predict aircraft departure delay and contribute to enhance aircraft operation efficiency and punctuality in the Jeju International Airport.

• 한국항행학회논문지
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• 제26권5호
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• pp.249-260
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• 2022

비행교육을 받는 학생 조종사들은 조종 및 상황판단 능력이 미숙하며 심리적, 육체적, 환경적 등 다양한 요소에 의해 많은 영향을 받는다. 특히 학생 조종사들의 비행교육에 가장 많은 영향을 미치는 요소 중 하나는 기상상태이다. 항공운송사업에 사용되는 대형 항공기와 달리 비행교육에 사용되는 소형 항공기는 기상조건에 따라 비행 제한, 악기상에서는 심리적 압박, 학생 기량 저하 등 교육에 많은 영향을 준다. 그러므로 본 연구에서는 소형 항공기에 많은 영향을 미치는 기상요소에 대한 기상 특성에 대해 분석을 하였다. 분석 결과 계절에 대한 교육 시기 조절, 항공기 가동률 증가, 기상을 고려한 안전한 단독비행 계획을 통하여 조종사 양성 전문교육기관에 효율적이고 안전한 교육훈련 운영방법을 제시하였다.

• 한국항공운항학회지
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• 제31권3호
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• pp.71-78
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• 2023

To minimize the occurrence of aviation accidents in the post-COVID, continuous flight training is crucial. However, the current infrastructure of domestic airports and airfields is insufficient to prepare for and respond to accidents, and there is a need for sufficient facility capacity. Therefore, this study examines the construction of a regional airport to minimize aviation accidents and selects factors necessary for determining the site location. Among the 11 selected factors, six were considered the most important site selection factors, including noise issues, weather conditions, obstacle limitations, environmental issues, airspace conditions, and facility usability. Applying these factors, an analysis was conducted on the Songpo area of Sacheon City, Gyeongsangnam-do. Based on a comprehensive review, it can be concluded that the Songpo area is a suitable choice for a regional airport due to its excellent transportation environment, consideration of noise and environmental issues with the residential population, and other factors. Furthermore, the development of the aviation industry is expected to bring about an increase in tourism and economic benefits, and it is anticipated to make a significant contribution to the domestic aviation industry along with the construction of the currently under-construction Ulleung Airport.

• 한국항공운항학회지
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• 제18권1호
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• pp.89-99
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• 2010

The purpose of this study is analysis of Korean peninsula aircraft turbulence using the numerical weather prediction model, KWRF with the various turbulence index and pilot weather report data. Compared with the pilot weather report data and Calculated the turbulence index using the KWRF model result, many turbulence index show the similar horizontal distribution, except for the TUB2 and VWS. The analysis of vertical structure of turbulence, there are some difference each turbulence index respectively, but severe turbulence turn up in 15,000ft almost turbulence index. above 20,000ft height, intensity of turbulence vary each turbulence index. Through this turbulence study, It is founded on the research and development of the Korean peninsula aircraft turbulence