• 제목/요약/키워드: wind model

검색결과 3,631건 처리시간 0.027초

영동지역 기상조건이 구름 및 강설 모의에 미치는 영향: 이상 실험 기반의 사례 연구 (Effects of Meteorological Conditions on Cloud and Snowfall Simulations in the Yeongdong Region: A Case Study Based on Ideal Experiments)

  • 김유준;안보영;김백조;김승범
    • 대기
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    • 제31권4호
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    • pp.445-459
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    • 2021
  • This study uses a cloud-resolving storm simulator (CReSS) to understand the individual effect of determinant meteorological factors on snowfall characteristics in the Yeongdong region based on the rawinsonde soundings for two snowfall cases that occurred on 23 February (Episode 1) and 13 December (Episode 2) 2016; one has a single-layered cloud and the other has two-layered cloud structure. The observed cloud and precipitation (snow crystal) features were well represented by a CReSS model. The first ideal experiment with a decrease in low-level temperature for Episode 1 indicates that total precipitation amount was decreased by 19% (26~27% in graupel and 53~67% in snow) compared with the control experiment. In the ideal experiment that the upper-level wind direction was changed from westerly to easterly, although total precipitation was decreased for Episode 1, precipitation was intensified over the southwestern side (specifically in terrain experiment) of the sounding point (128.855°E, 37.805°N). In contrast, the precipitation for Episode 2 was increased by 2.3 times greater than the control experiment under terrain condition. The experimental results imply that the low-level temperature and upper-level dynamics could change the location and characteristics of precipitation in the Yeongdong region. However, the difference in precipitation between the single-layered experiment and control (two-layered) experiment for Episode 2 was negligible to attribute it to the effect of upper-level cloud. The current results could be used for the development of guidance of snowfall forecast in this region.

토지피복 자료의 해상도 차이가 CALPUFF 농도 모의에 미치는 영향 분석 (Analysis of the Effect of Differences in Spatial Resolution of Land-use/cover Data on the Simulation of CALPUFF)

  • 황수연;함정수;이영진;최진무
    • 대한원격탐사학회지
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    • 제37권5_3호
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    • pp.1461-1473
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    • 2021
  • 본 연구는 토지피복 자료의 공간 해상도가 미세먼지의 국지적 분포 및 확산 양상에 어떠한 영향을 미치는지 확인하는 데에 목적을 둔다. 이때 시공간적 지표상태 및 기상상태의 변화를 고려하는 CALPUFF 모델을 사용하여, 경기도 안양시의 평촌 신도시 지역에 대해, 미세먼지 모의를 진행하였다. 모델링의 입력 데이터로 20 m, 50 m, 100 m의 세 가지 해상도 토지피복도를 사용하여 비교하였다. 20 m 해상도의 토지피복 자료를 사용했을 경우 모의 영역의 풍속은 가장 크게 모의 되었으며 PM10 농도는 가장 낮게 모의 되었다. 본 연구를 통해 미세먼지의 국지적 분포 및 확산 양상에 토지피복 자료의 공간 해상도가 영향을 미칠 수 있으며 이는 CALPUFF 모의에 영향을 줄 수 있음을 확인하였다. 따라서 향후 CALPUFF를 사용하여 미세먼지를 모의할 때, 토지피복의 형태에 따른 공간 해상도에 대한 영향을 사전에 확인하고 모의를 진행하는 것이 더 정확한 결과를 확보할 수 있음을 제시해볼 수 있다.

Simulink와 X-Plane을 이용한 모의 근접비행 시뮬레이션 환경 개발연구 (Development of Simulation Environment for Proximity Flight Using Simulink and X-Plane)

  • 이상훈;박찬휘;박영후;이대우
    • 한국항공우주학회지
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    • 제49권6호
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    • pp.465-472
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    • 2021
  • 고정익 모선과 자선의 공중에서의 분리-재결합 상황에 대한 실제 비행시험 이전에 시뮬레이션을 통해 자선의 비행제어 시스템을 검증할 필요가 있다. 본 논문에서는 X-Plane의 후류 기능을 기반으로 연구실 환경에서 자선의 비행제어 시스템 개발을 위한 시뮬레이션 환경을 구축하였다. 이를 위해 자선의 공력해석을 수행하고 Simulink를 사용하여 항공기를 모사하였으며, X-Plane을 활용하여 시각화와 바람, 돌풍, 모선의 이동을 구현하였다. 유도제어 알고리즘을 Simulink 내 자선 모델에 적용하여 모의 근접비행을 수행함으로써 구축된 시뮬레이션 환경을 검증하였다. 또한 비행 결과를 통해 자선이 모선 후방에서 안전하게 비행할 수 있는 영역을 확인하였다.

상태 변환하의 최적 통화 정책 - 미국 주택 시장의 경우 - (Optimal Monetary Policy under Regime Switches - the case of US Housing Market -)

  • 김장렬;임기영
    • 국제지역연구
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    • 제12권3호
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    • pp.49-67
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    • 2008
  • 본 연구에서는 경제 내 갑작스런 구조적 변화가 있을 경우의 최적 통화정책 준칙을 살펴본다. 연구의 첫 단계에서는 Markov 상태전환모형을 이용하여 미국 주택가격 상승률의 추이에 두 개의 상이한 상태가 존재함을 보인다. 식별된 두 개의 상태 중 하나는 실질 이자율이 상승시 주택 가격 상승률이 하락한다는 면에서 '통상적'인 상태로 보인다. 반면, 다른 상태 하에서는 주택가격 상승률과 실질 이자율이 양의 상관관계를 갖는다는 면에서 '이례적'인 상태라 할 수 있다. 연구의 두 번째 단계에서는 주택시장에 이와 같은 두 개의 상태가 존재할 경우 중앙은행의 최적통화준칙을 살펴본다. '통상적' 상태 하에서는 인플레이션 압력에 반대로 대응해야 하는 반면, '이례적' 상태에서는 인플레이션 압력을 수용(accommodate)해야 한다는 면에서 중앙은행의 최적통화정책은 비대칭적이다. 또한, 미래 상태에 대한 불확실성이 있을 경우 더욱 보수적으로 통화정책을 운용해야 한다는 결과가 도출된다.

이내비게이션을 활용한 해양환경관측 및 빅데이터 분석방안 (Methodology on e-Navigation-Assisted Ocean Monitoring and Big Data Analysis)

  • 이관홍;박재훈;하호경;김도완;이우주;김홍태;신현정
    • 한국해양학회지:바다
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    • 제23권4호
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    • pp.204-217
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    • 2018
  • 본 연구에서는 이내비게이션 시스템이 장착된 연안 및 국제여객선을 활용하여 효율적으로 해양환경관측을 실시하고 관측된 해양 환경 빅데이터를 분석할 수 있는 방안을 제시하였다. 먼저, 이내비게이션 시스템과 운영 개념을 소개하고, 우리나라 연안의 해양환경모니터링 현황을 개괄한 후, 기존 관측망의 단점을 보완하고 장점을 강화할 수 있도록 이내비게이션을 활용한 해양환경모니터링 관측방법과 관측요소(기상, 물성, 유속 및 수심)를 제안하였다. 또한, 이내비게이션 시스템이 장착된 여객선에서 관측한 자료를 실시간으로 분석하는 시공간 혼합효과모형, 앙상블기법 및 무요소기법과 같은 해양빅데이터 분석 기법을 제안하였다. 본 연구는 연안 선박과 소형어선에 중점을 둔 한국형 이내비게이션 추진에 도움이 될 것으로 기대한다.

대규모 기후인자와 관련된 우리나라 봄철 산불위험도 변동 (Spring Forest-Fire Variability over Korea Associated with Large-Scale Climate Factors)

  • 정지윤;우성호;손락훈;윤진호;정지훈;이석준;이병두
    • 대기
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    • 제28권4호
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    • pp.457-467
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    • 2018
  • This study investigated the variability of spring (March-May) forest fire risk in Korea for the period 1991~2017 and analyzed its relationship with large-scale climate factors. The Forest Weather Index (FWI) representing the meteorological risk for forest fire occurrences calculated based on observational data and its relationship with large-scale climate factors were analyzed. We performed the empirical orthogonal function (EOF) analysis on the spring FWI. The leading EOF mode of FWI accounting for about 70% of total variability was found to be highly correlated with total number of forest fire occurrences in Korea. The high FWI, forest fire occurrence risk, in Korea, is associated with warmer atmosphere temperature in midwest Eurasia-China-Korea peninsula, cyclonic circulation anomaly in northeastern China-Korea peninsula-northwest pacific, westerly wind anomaly in central China-Korea peninsula, and low humidity in Korea. These are further related with warmer sea surface temperature and enhanced outgoing longwave radiation over Western Pacific, which represents a typical condition for a La $Ni\tilde{n}a$ episode. This suggests that large-scale climate factors over East Asia and ENSO could have a significant influence on the occurrence of spring forest fires in Korea.

Direct analysis of steel frames with asymmetrical semi-rigid joints

  • Chan, Jake L.Y.;Lo, S.H.
    • Steel and Composite Structures
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    • 제31권1호
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    • pp.99-112
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    • 2019
  • Semi-rigid joints have been widely studied in literature in recent decades because they affect greatly the structural response of frames. In literature, the behavior of semi-rigid joints is commonly assumed to be identical under positive and negative moments which are obviously incorrect in many cases where joint details such as bolt arrangement or placement of haunch are vertically asymmetrical. This paper evaluates two common types of steel frames with asymmetrical beam-to-column joints by Direct Analysis allowing for plasticity. A refined design method of steel frames using a proposed simple forth order curved-quartic element with an integrated joint model allowing for asymmetrical geometric joint properties is presented. Furthermore, the ultimate behavior of six types of asymmetrical end-plate connections under positive and negative moment is examined by the Finite Element Method (FEM). The FEM results are further applied to the proposed design method with the curved-quartic element for Direct Analysis of two types of steel frames under dominant gravity or wind load. The ultimate frame behavior under the two different scenarios are examined with respect to their failure modes and considerably different structural performances of the frames were observed when compared with the identical frames designed with the traditional method where symmetrical joints characteristics were assumed. The finding of this research contributes to the design of steel frames as their asymmetrical beam-to-column joints lead to different frame behavior when under positive and negative moment and this aspect should be incorporated in the design and analysis of steel frames. This consideration of asymmetrical joint behavior is recommended to be highlighted in future design codes.

Future water quality analysis of the Anseongcheon River basin, Korea under climate change

  • Kim, Deokwhan;Kim, Jungwook;Joo, Hongjun;Han, Daegun;Kim, Hung Soo
    • Membrane and Water Treatment
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    • 제10권1호
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    • pp.1-11
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    • 2019
  • The Intergovernmental Panel on Climate Change (IPCC) Fifth Assessment Report (AR5) predicted that recent extreme hydrological events would affect water quality and aggravate various forms of water pollution. To analyze changes in water quality due to future climate change, input data (precipitation, average temperature, relative humidity, average wind speed and sunlight) were established using the Representative Concentration Pathways (RCP) 8.5 climate change scenario suggested by the AR5 and calculated the future runoff for each target period (Reference:1989-2015; I: 2016-2040; II: 2041-2070; and III: 2071-2099) using the semi-distributed land use-based runoff processes (SLURP) model. Meteorological factors that affect water quality (precipitation, temperature and runoff) were inputted into the multiple linear regression analysis (MLRA) and artificial neural network (ANN) models to analyze water quality data, dissolved oxygen (DO), biological oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (SS), total nitrogen (T-N) and total phosphorus (T-P). Future water quality prediction of the Anseongcheon River basin shows that DO at Gongdo station in the river will drop by 35% in autumn by the end of the $21^{st}$ century and that BOD, COD and SS will increase by 36%, 20% and 42%, respectively. Analysis revealed that the oxygen demand at Dongyeongyo station will decrease by 17% in summer and BOD, COD and SS will increase by 30%, 12% and 17%, respectively. This study suggests that there is a need to continuously monitor the water quality of the Anseongcheon River basin for long-term management. A more reliable prediction of future water quality will be achieved if various social scenarios and climate data are taken into consideration.

Extreme Value Analysis of Statistically Independent Stochastic Variables

  • Choi, Yongho;Yeon, Seong Mo;Kim, Hyunjoe;Lee, Dongyeon
    • 한국해양공학회지
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    • 제33권3호
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    • pp.222-228
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    • 2019
  • An extreme value analysis (EVA) is essential to obtain a design value for highly nonlinear variables such as long-term environmental data for wind and waves, and slamming or sloshing impact pressures. According to the extreme value theory (EVT), the extreme value distribution is derived by multiplying the initial cumulative distribution functions for independent and identically distributed (IID) random variables. However, in the position mooring of DNVGL, the sampled global maxima of the mooring line tension are assumed to be IID stochastic variables without checking their independence. The ITTC Recommended Procedures and Guidelines for Sloshing Model Tests never deal with the independence of the sampling data. Hence, a design value estimated without the IID check would be under- or over-estimated because of considering observations far away from a Weibull or generalized Pareto distribution (GPD) as outliers. In this study, the IID sampling data are first checked in an EVA. With no IID random variables, an automatic resampling scheme is recommended using the block maxima approach for a generalized extreme value (GEV) distribution and peaks-over-threshold (POT) approach for a GPD. A partial autocorrelation function (PACF) is used to check the IID variables. In this study, only one 5 h sample of sloshing test results was used for a feasibility study of the resampling IID variables approach. Based on this study, the resampling IID variables may reduce the number of outliers, and the statistically more appropriate design value could be achieved with independent samples.

Numerical study on Reynolds number effects on the aerodynamic characteristics of a twin-box girder

  • Laima, Shujin;Wu, Buchen;Jiang, Chao;Chen, Wenli;Li, Hui
    • Wind and Structures
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    • 제28권5호
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    • pp.285-298
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    • 2019
  • For super long-span bridges, the aerodynamic forces induced by the flow passing the box girder should be considered carefully. And the Reynolds number sensitively of aerodynamic characteristics is one of considerable issue. In the study, a numerical study on the Reynolds number sensitivity of aerodynamic characteristic (flow pattern, pressure distribution and aerodynamic forces) of a twin-box girder were carried out using large eddy simulation (LES) with the dynamic Smagorinsky-Lilly subgrid model. The results show that the aerodynamic characteristics have strong correlation with the Reynolds number. At the leading edge, the flow experiences attachment, departure, and reattachment stages accompanying by the laminar transition into turbulence, causing pressure plateaus to form on the surface, and the pressure plateaus gradually shrinks. Around the gap, attributing that the flow experiences stages of laminar cavity flow, the wake with alternate shedding vortices, and turbulent cavity flow in sequence with an increase in the Reynolds number, the pressures around the gap vary greatly with the Reynold number. At the trailing edge, the pressure gradually recovers as the flow transits to turbulence (the flow undergoes wake instability, shear layer transition-reattachment station), In addition, at relative high Reynolds numbers, the drag force almost does not change, however, the lift force coefficient gradually decreases with an increase in Reynolds number.