• Title/Summary/Keyword: wind data

Search Result 3,332, Processing Time 0.033 seconds

Building of an Vessel Operator Support System Based on ENC (ENC기반 선박운항자 지원시스템의 구축)

  • Hong Tae-ho;Seo Ki-Yeol;Park Gyei-Kark
    • Proceedings of KOSOMES biannual meeting
    • /
    • 2005.05a
    • /
    • pp.135-140
    • /
    • 2005
  • Currently, ECDIS and GPS plotters are much used as equipment providing operators with route information, but they do not have any function of automatic route creation and route explanation, so available for only experienced operators. Especially, the present situation is tint no study is made of the automatic route creation and route explanation using ENC for ECDIS, substitution system of paper chart. ENC is the electronic navigation chart that is produced using S-52, S-57 standard format required by IHQ. In this paper, an Vessel Operator Support System(VOSS) is proposed to generate an optimal route where ENC and GPS data is fusioned induding the wind direction and speed of an anemometer and tide data. The proposed system was testified by a simulation, and its effectiveness was verified.

  • PDF

A Study on Prediction of Aircraft Noise in Tae-an Airfield (항공기소음예측에 관한 연구;태안비행장 중심으로)

  • Kim, D.H.;Park, S.B.;Song, B.H.
    • Journal of the Korean Society for Aviation and Aeronautics
    • /
    • v.13 no.3
    • /
    • pp.73-84
    • /
    • 2005
  • Hanseo University's Tae-an Airfield was opened in July, 2005 for aeronautical education such as aircraft flight, air traffic control, avionics, etc., and will play an important part as a base for local economic and industrial developments. On the contrary, the aircraft noise from the airfield will give an impact against the vicinity of the airfield and become a big issue which the airfield authority has to solve. The aim of this study is to analyse the aircraft noise contour in vicinity of the airfield and to make understand the people around the airfield how much the aircraft noise will have an effect on. For the prediction of the aircraft noise in the local area, this study showed the method to assess the aircraft noise in the developed countries for aviation, and the result to compute WECPNL by INM 6.1 after encoding the various data including environmental input data, tract, and profile. The major results of the study can be summarized as follows ; While the area with influence contour of noise from 75 to 80 WECPNL is 0.555$km^2$, the area from 80 to 85 is 0.343$km^2$, and the area with influence contour of noise over 85 WECPNL is 0.163$km^2$. In addition, there are 4 houses in the contour over 85 WECPNL and the inhabitants(10 people) in this area will have effect from the noise. Therefore Tae-an airfeild authority is preparing the noise-prevention method or noise abatement program. Finally, according to the noise contour, it is one of the best way of decreasing the effect of aircraft noise that 33 runway is assigned as calm-wind runway because there is no resident in the area around 15 threshold.

  • PDF

The Spatial Characteristics of Stratification in Deukryang Bay, Korea (밀도류 효과에 으히나 득령만의 성층변동 특성)

  • Byung-Gul Lee;Kyu-Dae Cho
    • Journal of Environmental Science International
    • /
    • v.7 no.2
    • /
    • pp.223-232
    • /
    • 1998
  • The spatial characteristics of stratification In Deukryang Bay were studded using observed data and analytical models. From the description of the density structure and its the potential energy anomaly (PEA) from observed data along longitudinal direction (from the mouth to head of the bays, we found that the stratification Intensity could be changed strongly by density current effect during the spring-neap tidal cycle, and depth variation. To find out density current effect for the formation of the stratification In detail, we Implemented a diagnostic approach by using the modified analytical model including density current, tidal current, surface heating and wind stirring. The model allowed for the observed similarities for the whole domain in the bay and increased tidal mixing efficiency value s up to 0.006-0.007 as compared to the results without density current effect. We found that the density current effect was also an important key factor In determining the formation of the spatial distribution of stratification.

  • PDF

Prediction of Ozone Concentration by Multiple Regression Analysis in Daegu area (다중회귀분석을 통한 대구지역 오존농도 예측)

  • 최성우;최상기;도상현
    • Journal of Environmental Science International
    • /
    • v.11 no.7
    • /
    • pp.687-696
    • /
    • 2002
  • Air quality monitoring data and meteorology data which had collected from 1995. 1. to 1999. 2. in six areas of Daegu, Manchondong, Bokhyundong, Deamyungdong, Samdukdong, Leehyundong and Nowondong, were investigated to determine the distribution and characteristic of ozone. A equation of multiple regression was suggested after time series analysis of contribution factor and meteorology factor were investigated during the day which had high concentration of ozone. The results show the following; First, 63.6% of high ozone concentration days, more than 60 ppb of ozone concentration, were in May, June and September. The percentage of each area showed that; Manchondong 14.4%, Bokhyundong 15.4%, Deamyungdong 15.6%, Samdukdong 15.6%, Leehyundong 17.3% and Nowondong 21.6%. Second, correlation coefficients of ozone, $SO_2$, TSP, $NO_2$ and CO showed negative relationship; the results were respectively -0.229, -0.074, -0.387, -0.190(p<0.01), and humidity were -0.677. but temperature, amount of radiation and wind speed had positive relationship; the results were respectively 0.515, 0.509, 0.400(p<0.01). Third, $R^2$ of equation of multiple regression at each area showed that; Nowondong 45.4%, Lee hyundong 77.9%, Samdukdong 69.9%, Daemyungdong 78.8%, Manchondong 88.6%, Bokhyundong 77.6%. Including 1 hour prior ozone concentration, $R^2$ of each area was significantly increased; Nowondong 75.2%, Leehyundong 89.3%, Samdukdong 86.4%, Daemyungdong 88.6%, Manchondong 88.6%, Bokhyundong 88.0%. Using equation of multiple regression, There were some different $R^2$ between predicted value and observed value; Nowondong 48%, Leehyundong 77.5%, Samdukdong 58%, Daemyungdong 73.4%, Manchondong 77.7%, Bokhyundong 75.1%. $R^2$ of model including 1 hour prior ozone concentration was higher than equation of current day; Nowondong 82.5%, Leehyundong 88.3%, Samdukdong 80.7%, Daemyungdong 82.4%, Manchondong 87.6%, Bokhyundong 88.5%.

Comparison of the PSD radial profiles between before and after geosynchronous flux dropout: case studies using THEMIS observations

  • Hwang, Junga;Lee, Dae-Young;Kim, Kyung-Chan;Choi, Eunjin;Shin, Dae-Kyu;Kim, Jin-Hee;Cho, Jung-Hee
    • The Bulletin of The Korean Astronomical Society
    • /
    • v.37 no.2
    • /
    • pp.122-122
    • /
    • 2012
  • Geosynchronous electron flux dropouts are most likely due to fast drift loss of the particles to the magnetopause (or equivalently, the "magnetopause shadowing effect"). A possible effect related to the drift loss is the radial diffusion of PSD due to gradient of PSD set by the drift loss effect at an outer L region. This possibly implies that the drift loss can affect the flux levels even inside the trapping boundary. We recently investigated the details of such diffusion process by solving the diffusion equation with a set of initial and boundary conditions set by the drift loss. Motivated by the simulation work, we have examined observationally the energy spectrum and pitch angle distribution near trapping boundary during the geosynchronous flux dropouts. For this work, we have first identified a list of geosynchronous flux dropout events for 2007-2010 from GOES satellite electron measurements and solar wind pressures observed by ACE satellite. We have then used the electron data from the Time History of Events and Macroscale Interactions during Substorms (THEMIS) spacecraft measurements to investigate the particle fluxes. The five THEMIS spacecraft sufficiently cover the inner magnetospheric regions near the equatorial plane and thus provide us with data of much higher spatial resolution. In this paper, we report some case studies showing energy dependence during magnetopause shadowing effect.

  • PDF

Development of the Interconnection Evaluation System for Dispersed Generations in Distribution Systems (분산전원의 배전계통 연계 평가 시스템의 개발에 관한 연구)

  • Kang Min-Kwan;Park Jae-Ho;Oh Yong-Taek;Hong Sang-Eun;Rho Dae-Seok
    • Journal of the Korea Academia-Industrial cooperation Society
    • /
    • v.7 no.1
    • /
    • pp.12-20
    • /
    • 2006
  • Recently, new dispersed sources (DSG) such as Photovoltaic, Wind Power, fuel cell etc. are interconnected with distribution systems as national projects for alternative energy preparing for oil crisis. This paper deals with the optimal evaluation algorithms in the case where new dispersed sources are operated in distribution systems. It is very difficult and complicated to handle the interconnection issues for proper voltage managements, because professional skills and enormous amounts of data for the evaluations are required. The typical evaluation algorithms mainly depending on individual ability and quality of data acquired, inevitably cause the different results f3r the same issue, so unfair and subjective evaluations are unavoidable. In order to overcome these problems, this paper proposes reasonable and general algorithms based on the standard model system and proper criterion, which offers the fair and objective evaluations in any case.

  • PDF

Design and Performance Analysis of Propeller for Solar-powered HALE UAV EAV-3 (고고도 장기체공 태양광 무인기 EAV-3의 프로펠러 설계 및 성능해석)

  • Park, Donghun;Hwang, Seungjae;Kim, Sanggon;Kim, Cheolwan;Lee, Yunggyo
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.44 no.9
    • /
    • pp.759-768
    • /
    • 2016
  • Design and performance analysis of propeller for solar-powered HALE UAV, EAV-3 are conducted. Experiment points of design variables are obtained by using Design of Experiment(DOE) and Kriging meta-model is generated for objective and constraints function. The geometry of propeller is designed by evaluating the response surface with requirement and restrictions. The validity of the design is verified by meta-model based optimization. Computational analyses are carried out by using commercial CFD code and the results are compared with those from a design code and wind tunnel test. The results showed good agreement with predictions of the design code at the design altitude. Also, it is confirmed that the blockage effect due to the measurement device and support strut is included in the test data and the results including this effect compare well with the test data.

Quantitative Analysis for Surface Recession of Ablative Materials Using High-speed Camera and 3D Profilometer (초고속 카메라와 삼차원 표면 측정기를 이용한 삭마 재료의 정량적 표면 침식 분석)

  • Choi, Hwa Yeong;Roh, Kyung Uk;Cheon, Jae Hee;Shin, Eui Sup
    • Journal of the Korean Society for Aeronautical & Space Sciences
    • /
    • v.46 no.9
    • /
    • pp.735-741
    • /
    • 2018
  • In this paper, the surface recession of ablative materials was quantitatively analyzed using a high-speed camera and a three-dimensional profilometer. The ablation tests of the graphite and carbon/phenolic composite samples were performed using a 0.4 MW arc-heated wind tunnel for simulating the atmospheric re-entry environment. The real-time images during the ablation test were captured by the high-speed camera, and analyzed to calculate the surface recession and recession rate. Also, the surface data of samples were obtained using a three-dimensional profilometer, and the surface recession was precisely calculated from the difference of height between the surface data before and after the test. It is effective to complement the two measurement results in the comprehensive analysis of surface recession phenomena.

Classification of Heat Wave Events in Seoul Using Self-Organizing Map (자기조직화지도를 이용한 서울 폭염사례 분류 연구)

  • Back, Seung-Yoon;Kim, Sang-Wook;Jung, Myung-Il;Roh, Joon-Woo;Son, Seok-Woo
    • Journal of Climate Change Research
    • /
    • v.9 no.3
    • /
    • pp.209-221
    • /
    • 2018
  • The characteristics of heat wave events in Seoul are analyzed using weather station data from Korea Meteorological Administration (KMA) and European Centre for Medium-Range Weather Forecast (ECMWF) ERA-Interim reanalysis data from 1979 to 2016. Heat waves are defined as events in the upper 10th percentile of the daily maximum temperatures. The associated synoptic weather patterns are then classified into six clusters through Self-Organizing Map (SOM) analysis for sea-level pressure anomalies in East Asia. Cluster 1 shows an anti-cyclonic circulation and weak troughs in southeast and west of Korea, respectively. This synoptic pattern leads to southeasterly winds that advect warm and moist air to the Korean Peninsula. Both clusters 2 and 3 are associated with southerly winds formed by an anti-cyclonic circulation over the east of Korea and cyclonic circulation over the west of Korea. Cluster 4 shows a stagnant weather pattern with weak winds and strong insolation. Clusters 5 and 6 are associated with F?hn wind resulting from an anti-cyclonic circulation in the north of the Korean Peninsula. In terms of long-term variations, event frequencies of clusters 4 and 5 show increasing and decreasing trends, respectively. However, other clusters do not show any long-term trends, indicating that the mechanisms that drive heat wave events in Seoul have remained constant over the last four decades.

Advanced Estimation Model of Runway Visual Range using Deep Neural Network (심층신경망을 이용한 활주로 가시거리 예측 모델의 고도화)

  • Ku, SungKwan;Park, ChangHwan;Hong, SeokMin
    • Journal of Advanced Navigation Technology
    • /
    • v.22 no.6
    • /
    • pp.491-499
    • /
    • 2018
  • Runway visual range (RVR), one of the important indicators of aircraft takeoff and landing, is affected by meteorological conditions such as temperature, humidity, etc. It is important to estimate the RVR at the time of arrival in advance. This study estimated the RVR of the local airport after 1 hour by upgrading the RVR estimation model using the proposed deep learning network. To this end, the advancement of the estimation model was carried out by changing the time interval of the meteorological data (temperature, humidity, wind speed, RVR) as input value and the linear conversion of the results. The proposed method generates estimation model based on the past measured meteorological data and estimates the RVR after 1 hour and confirms its validity by comparing with measured RVR after 1 hour. The proposed estimation model could be used for the RVR after 1 hour as reference in small airports in regions which do not forecast the RVR.