• Proceedings of the Korean Institute of Navigation and Port Research Conference
• /
• 2022.11a
• /
• pp.319-320
• /
• 2022

해무는 해면에 인접한 층에서 수증기가 응결하여 대기 중에 부유하는 현상으로 기상학적으로 수평 가시거리가 1km이하 일때로 정의되며 해무로 인해 항공기 이착륙 지연, 교통사고, 운항 통제, 인명 피해 등 사회적, 경제적 피해를 유발하고 있다. 본 연구에서는 기존의 해무 발생, 탐지, 예측과 관련한 연구를 비교 분석하여 향후 연구개발의 방향을 제시하고자 한다. 해무 발생, 예측과 관련하여 연구개발이 진행되어 왔으나 해무의 특성상 규칙성이 약하고 고정적인 측정법이나 이를 다루기 위한 네트워크가 부족하여 예측하기가 어렵다. 특히, 국내에서는 국립해양조사원과 기상청에서 해무 탐지 및 예측에 관한 연구개발 및 서비스가 진행되고 있으나 현업화가 이루어지지 않거나 특정지점에 대한 정보만 제공되고 있는 한계가 있다. 따라서, CCTV영상, 인공위성 영상, 시정계, 기상자료, 수치모형을 통해 수집된 정보를 통합하여 예측할 수 있는 인공지능기반의 해무 탐지 및 예측 기술개발이 진행되어야 할 것이다.

• Atmosphere
• /
• v.30 no.4
• /
• pp.319-333
• /
• 2020

Aircraft observations constitute one of the major sources of temperature observations which provide three-dimensional information. But it is well known that the aircraft temperature data have warm bias against sonde observation data, and therefore, the correction of aircraft temperature bias is important to improve the model performance. In this study, the algorithm of the bias correction modified from operational KMA (Korea Meteorological Administration) global model is adopted in the preprocessing of aircraft observations, and the effect of the bias correction of aircraft temperature is investigated by conducting the two experiments. The assimilation with the bias correction showed better consistency in the analysis-forecast cycle in terms of the differences between observations (radiosonde and GPSRO (Global Positioning System Radio Occultation)) and 6h forecast. This resulted in an improved forecasting skill level of the mid-level temperature and geopotential height in terms of the root-mean-square error. It was noted that the benefits of the correction of aircraft temperature bias was the upper-level temperature in the midlatitudes, and this affected various parameters (winds, geopotential height) via the model dynamics.

• Journal of Advanced Navigation Technology
• /
• v.21 no.5
• /
• pp.435-442
• /
• 2017

The runway visual range affected by fog and so on is one of the important indicators to determine whether aircraft can take off and land at the airport or not. In the case of airports where transportation airplanes are operated, major weather forecasts including the runway visual range for local area have been released and provided to aviation workers for recognizing that. This paper proposes a runway visual range estimation model with a deep neural network applied recently to various fields such as image processing, speech recognition, natural language processing, etc. It is developed and implemented for estimating a runway visual range of local airport with a deep neural network. It utilizes the past actual weather observation data of the applied airfield for constituting the learning of the neural network. It can show comparatively the accurate estimation result when it compares the results with the existing observation data. The proposed model can be used to generate weather information on the airfield for which no other forecasting function is available.

• Journal of the Korean earth science society
• /
• v.41 no.6
• /
• pp.575-587
• /
• 2020

Meteorological phenomena are observed by the Korea Meteorological Administration in a variety of ways (e.g., surface, upper-air, marine, ocean, and aviation). However, there are limits to the meteorological observation of the planetary boundary layer (PBL) that greatly affects human life. In particular, observations using a sonde or aircraft require significant observational costs in economic terms. Therefore, the goal of this study was to measure and analyze the meteorological factors of the vertical distribution of the see-land breeze among local meteorological phenomena using meteorological drones. To investigate the spatial distribution of the see-land breeze, a same integrated meteorological sensor was mounted on each drone at three different points (seaside, bottom of mountain, and mountainside), including the Boseong tall tower (BTT) at the Boseong Standard Weather Observatory (BSWO) in the Boseong region. Vertical profile observations for air temperature, relative humidity, wind direction, wind speed, and air pressure were conducted up to 400 m every 30 minutes from 1100 LST to 1800 LST on August 4, 2018. The spatial characteristics of meteorological phenomena for temperature, relative humidity, and atmospheric pressure were not shown at the four points. Strong winds (~8 m s-1) were observed from the midpoint (~100 m) at strong solar radiation hour, and in the afternoon the wind direction changed from the upper layer at the inland area to the west wind. It is expected that the analysis results of the lower atmospheric layer observed using the meteorological drone may help to improve the weather forecast more accurately.

• Journal of Environmental Science International
• /
• v.32 no.12
• /
• pp.899-914
• /
• 2023

Various seeding materials for cloud seeding are being used, and sodium chloride powder is one of them, which is commonly used. This study analyzed the experimental results of multi-aircraft cloud seeding in connection with Republic of Korea Air Force (CN235) and KMA/NIMS(Korea Meteorological Administration/National Institute of Meteorological Sciences) Atmospheric Research Aircraft. Powdered sodium chloride was used in CN235 for the first time in South Korea. The analysis of the cloud particle size distributions and radar reflectivity before and after cloud seeding showed that the growth efficiency of powdery seeding material in the cloud is slightly higher than that of hygroscopic flare composition in the distribution of number concentrations by cloud aerosol particle diameter (10 ~ 1000 ㎛). Considering the radar reflectivity, precipitation, and numerical model simulation, the enhanced precipitation due to cloud seeding was calculated to be a maximum of 3.7 mm for 6 hours. The simulated seeding effect area was about 3,695 km², which corresponds to 13,634,550 tons of water. In the precipitation component analysis, as a direct verification method, the ion equivalent concentrations (Na⁺, Cl^-, Ca²⁺) of the seeding material at the Bukgangneung site were found to be about 1000 times higher than those of other non-affected areas between about 1 and 2 hours after seeding. This study suggests the possibility of continuous multi-aircraft cloud seeding experiments to accumulate and increase the amount of precipitation enhancement.

• The Korean Journal of Air & Space Law and Policy
• /
• v.28 no.1
• /
• pp.3-54
• /
• 2013

Nowadays, major advanced countries in aviation technology are putting their effort to develop commercial and civil Unmanned Aircraft System(UAS) due to its highly promising market demand in the future. The market scale of commercial and civil UAS is expected to increase up to approximately 8.8 billon U.S. dollars by the year 2020. The usage of commercial and civil UAS covers various areas such as remote sensing, relaying communications, pollution monitoring, fire detection, aerial reconnaissance and photography, coastline monitoring, traffic monitoring and control, disaster control, search and rescue, etc. With the introduction of UAS, changes need to be made on current Air Traffic Management Systems which are focused mainly manned aircrafts to support the operation of UAS. Accordingly, the legislation for the UAS operation should be followed. Currently, ICAO's Unmanned Aircraft System Study Group(UASSG) is leading the standardization process of legislation for UAS operation internationally. However, some advanced countries such as United States, United Kingdom, Australia have adopted its own legislation. Among these countries, United States is most forth going with President Obama signing a bill to integrate UAS into U.S. national airspace by 2015. In case of Korea, legislation for the unmanned aircraft system is just in the beginning stage. There are no regulations regarding the operation of unmanned aircraft in Korea's domestic aviation law except some clauses regarding definition and permission of the unmanned aircraft flight. However, the unmanned aircrafts are currently being used in military and under development for commercial use. In addition, the Ministry of Land, Infrastructure and Transport has a ambitious plan to develop commercial and civil UAS as Korea's most competitive area in aircraft production and export. Thus, Korea is in need of the legislation for the UAS operation domestically. In this regards, I personally think that Korea's domestic legislation for UAS operation will be enacted focusing on following 12 areas : (1)use of airspace, (2)licenses of personnel, (3)certification of airworthiness, (4)definition, (5)classification, (6)equipments and documents, (7)communication, (8)rules of air, (9)training, (10)security, (11)insurance, (12)others. Im parallel with enacting domestic legislation, korea should contribute to the development of international standards for UAS operation by actively participating ICAO's UASSG.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2023.11a
• /
• pp.589-591
• /
• 2023

현재 수치예보 시스템은 항공기, 위성 등 다양한 센서에서 얻은 다종 관측 데이터를 동화하여 대기 상태를 추정하고 있지만, 관측변수 또는 물리량이 서로 다른 관측들을 처리하기 위한 계산 복잡도가 매우 높다. 본 연구에서 기존 시스템의 계산 효율성을 개선하여 관측을 평가하거나 전처리하는 데에 효율적으로 활용하기 위해, 각 관측의 특성을 고려한 자기 지도학습 방법을 통해 멀티모달 기상관측으로부터 실제 대기 상태를 추정하는 방법론을 제안하고자 한다. 비균질적으로 수집되는 멀티모달 기상관측 데이터를 융합하기 위해, (i) 기상관측의 heterogeneous network를 구축하여 개별 관측의 위상정보를 표현하고, (ii) pretext task 기반의 self-supervised learning을 바탕으로 개별 관측의 특성을 표현한다. (iii) Graph neural network 기반의 예측 모델을 통해 실제에 가까운 대기 상태를 추정한다. 제안하는 모델은 대규모 수치 시뮬레이션 시스템으로 수행되는 기존 기술의 한계점을 개선함으로써, 이상 관측 탐지, 관측의 편차 보정, 관측영향 평가 등 관측 전처리 기술로 활용할 수 있다.

• Journal of Aerospace System Engineering
• /
• v.11 no.5
• /
• pp.56-64
• /
• 2017

A high altitude long endurance aircraft which carries out missions of environmental research communication relay or ground surveillance, should have the capacity to cruise in the stratosphere at a relatively low speed for a long dwell time without the necessity of refueling. When one considers the propulsion system for such an aircraft, a reciprocating engine with a serial turbo-charger system to boost rarefied ambient air up to sea level condition, would represent an good, informed and practical choice regardless of the cruising altitude of the aircraft. In this paper, high altitude long endurance aircraft developed by overseas research groups and research trends, regarding multi-stage turbocharger systems, are introduced.

• The Magazine of the IEIE
• /
• v.21 no.11
• /
• pp.75-85
• /
• 1994

Safety and Reliability assessments of Avionics Parts must be conducted essentially in the step of disign and manufacture as it constitutes a major field of aircraft critical operation. Recently Avionics parts fabrication techniques are continuously developing by applying digital techniques. Airborne computer is being adopted on an aircraft for flight is being adopted on an aircraft for flight safety augmentation and simplification of controls including reduction of human error. Therefore inspection and evaluation procedures should be developed in order to accomodate such trends. The number of avionics parts is approximitely 72% of total TSO parts, so it is expected high added-values through manufactures of TSO parts in aircraft industries. Particuarly avionics parts must be manufacturered with our own technology to be used in Mid-class aircraft which will be developed soon. Along with this, preparation of Certification Procedures is essential for Avionics Parts.

• Proceedings of the Safety Management and Science Conference
• /
• 2002.05a
• /
• pp.263-268
• /
• 2002

국내 공항에서 보유하고 있는 제한된 주기장에 대한 이용률과 주기되어 있는 항공기의 탑승에 소요되는 시간 및 도보거리는 공항의 운영 및 승객의 편리성 평가에 주요한 척도가 되고 있으며, 공항의 주요 운영 목표는 합리적인 항공기 주기장 배정을 통한 주기장 이용률의 최대화 및 터미널 이용 승객의 편리성 증대라 할 수 있다. 이에 본 연구에서는 대상 공항의 시설배치, 터미널 구조, 공항의 이용 승객 등을 고려하여 사용 가능한 주기장의 이용률의 최대화하고 터미널에서의 여객 이동거리를 최소화하는 주기장 배정 알고리즘의 개발과 그 결과를 국내 공항에 적용시키는 것을 그 목적으로 한다. 이를 위하여 기존의 GAP 정식화 모델을 최적화 소프트웨어인 LINGO를 활용하여 다중 시간 주기를 갖는 복잡한 문제를 단일 시간주기를 갖는 문제로 변환하기 위한 접근 방법을 제시함으로써 기존의 OR 접근 방법이 가지는 최적해 산출을 위한 긴 소요시간의 문제를 해결하고 실제 공항에 적용하여 실시간 의사결정을 위한 배정 결과를 제공하였다. 본 연구를 통하여 현재 발견적 기법에만 의존하여 수행되는 주기장 배정결과를 최적화 알고리즘을 통하여 산출함으로써 공항의 주요한 운영 목표인 항공사 및 여객의 시간 비용을 최소화할 수 있다. 또한 기상 악천후로 인한 항공기의 이착륙 지연이 발생할 경우 복잡한 문제를 배정 알고리즘에 의해 신속히 해결함으로써 공항 운영의 효율성뿐만 아니라 공항 안전에도 기여할 수 있을 것이다.