• 제목/요약/키워드: weather parameters

검색결과 385건 처리시간 0.024초

The Impact of Air Pollution, Including Asian Sand Dust, on Respiratory Symptoms and Health-related Quality of Life in Outpatients With Chronic Respiratory Disease in Korea: A Panel Study

  • Nakao, Motoyuki;Ishihara, Yoko;Kim, Cheol-Hong;Hyun, In-Gyu
    • Journal of Preventive Medicine and Public Health
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    • 제51권3호
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    • pp.130-139
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    • 2018
  • Objectives: Air pollution is a growing concern in Korea because of transboundary air pollution from mainland China. A panel study was conducted to clarify the effects of air pollution on respiratory symptoms and health-related quality of life (HR-QoL) in outpatients with and without chronic obstructive pulmonary disease (COPD) in Korea. Methods: Patients filled out a questionnaire including self-reported HR-QoL in February and were followed up in May and July. The study was conducted from 2013 to 2015, with different participants each year. Air quality parameters were applied in a generalized estimating equation as independent variables to predict factors affecting HR-QoL. Results: Lower physical fitness scores were associated with Asian sand dust events. Daily activity scores were worse when there were high concentrations of particulate matter (PM) less than $10{\mu}m$ in diameter ($PM_{10}$). Lower social functioning scores were associated with high PM less than $2.5{\mu}m$ in diameter and nitrogen dioxide ($NO_2$) concentrations. High $NO_2$ concentrations also showed a significant association with mental health scores. Weather-related cough was prevalent when $PM_{10}$, $NO_2$, or ozone ($O_3$) concentrations were high, regardless of COPD severity. High $PM_{10}$ concentrations were associated with worsened wheezing, particularly in COPD patients. Conclusions: The results suggest that PM, $NO_2$, and $O_3$ cause respiratory symptoms leading to HR-QoL deterioration. While some adverse effects of air pollution appeared to occur regardless of COPD, others occurred more often and more intensely in COPD patients. The public sector, therefore, needs to consider tailoring air pollution countermeasures to people with different conditions to minimize adverse health effects.

한우사 내 송풍팬의 최적 설치에 관한 연구 (Study on Optimum Installation of Fan in Standard Hanwoo Loose Barn)

  • 이승주;장동일;최윤혁;양재웅;민병주;;장홍희
    • Journal of Biosystems Engineering
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    • 제35권5호
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    • pp.350-356
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    • 2010
  • The fans installed in standard Hanwoo loose barns (room size : 10 m (width) $\times$ 5 m (length)) are frequently used to reduce Hanwoo's heat stress during hot weather and to dry the wet floor. However, the most effective method of installing fans has not been suggested yet. Therefore, this study was carried out to evaluate two methods of installing fans under the ceiling of Hanwoo loose barn by using CFD (Computational Fluid Dynamics) code, FLUENT and to recommend the optimum fan installing method. The fan installation options were fan tilting angles of $45^{\circ}$ and $0^{\circ}$ (horizontal). The fans of 1 m diameter were installed at 3 m above floor. A velocity scale on 10 cm and 110 cm above floor and air flow pattern were used as the parameters to evaluate the fan installing methods. The fans tilted at $45^{\circ}$ angle produced higher wind at 10 cm and 110 cm above floor and more uniform air flow pattern, compared with the fans installed horizontally. Based on these results, fans tilted at $45^{\circ}$ angle may help to reduce Hanwoo's heat stress and will dry the floor better than fans installed horizontally. Therefore, it is suggested that the fans of 1 m diameter in a standard Hanwoo loose barn should be installed at a $45^{\circ}$ tilt angle and 3 m above floor with spacing of 5 m at the center of a room column.

대규모 도시개발사업에 대한 대기질 평가 사례 연구 (A Case Study on the Air Quality Impact Assessment for the Large Scale Urban Development)

  • 김상목;이상훈;박근형;우재균;구윤서;김성태;한진석
    • 환경영향평가
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    • 제16권6호
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    • pp.381-391
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    • 2007
  • The air quality modeling was carried out to assess the impact of air quality for large scale urban development. The site for the assessment is Multi-fuctional Administrative City which locates in Yeongi-gun, Chungcheongnam-do and estimated population in 2030 is 500,000. Two automatic weather monitoring stations were installed to monitor the meteorological variables for a year and upper air meteorological parameters were measured using radiosonde for 5 days with 4 hours interval in every season. The air quality of standard air pollutants were also measured for 5 days continuously in every season. The results of wind field analysis based on the site measurements and CALMET modeling showed that the valley and mountain winds were prevailed when the sypnotic wind was weak. It also showed that wind speed and directions were highly space-variable within the site basin. The variable wind characteristics implies that the Gaussian dispersion model such ISC3 and AERMOD are not appropriate and the unsteady-sate Lagrangian model such as CALPUFF is preferable. CALPUFF model was applied to assess air quality impact of new sources. The new sources were those for individual and group heating facilities as well as the traffic increases. The results showed that the estimated concentrations of CO and $SO_2$ pollutants by summing the impact concentration of new sources by the dispersion model and the ambient air concentrations by the site measurements were acceptable but those of PM-10 and $NO_2$ would violate ambient air quality standards at several locations due to high ambient air concentrations. It is recommended that the emission reductions near the site should be enforced to improve the ambient air quality.

2006년과 2007년 여름에 관측한 Hawaii-Chuuk 사이의 물리특성 (Physical Oceanographic Characteristics between Hawaii and Chuuk Observed in Summer of 2006 and 2007)

  • 신창웅;김동국;전동철;김응
    • Ocean and Polar Research
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    • 제33권spc3호
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    • pp.371-383
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    • 2011
  • To investigate the physical characteristics and variations of oceanic parameters in the tropical central North Pacific, oceanographic surveys were carried out in summer of 2006 and 2007. The survey periods were classified by Oceanic Ni$\tilde{n}$o Index as a weak El Ni$\tilde{n}$o in 2006 and a medium La Ni$\tilde{n}$a in 2007. The survey instruments were used to acquire data on CTD (Conductivity Temperature and Depth), XBT (Expendable Bathythermograph), and TSG (Thermosalinograph). The dominant temporal variation of surface temperature was diurnal. The diurnal variation in 2007, when the La Ni$\tilde{n}$a weather pattern was in place, was stronger than that in 2006. Surface salinity in 2006 was affected by a northwestward branch of North Equatorial Current, which implies that the El Ni$\tilde{n}$o affects surface properties in the North Equatorial Current region. Two salinity minimum layers existed at stations east of Chuuk in both year's observations. The climatological vertical salinity section along $180^{\circ}E$ shows that the two salinity minimum layers exist in $2^{\circ}N{\sim}12^{\circ}N$ region, consistent with our observations. Analysis of isopycnal lines over the salinity section implies that the upper salinity minimum layer is from intrusion of the upper part of North Pacific Intermediate Water into the lower part of South Pacific Subtropical Surface Water and the lower salinity minimum layer is from Antarctic Intermediate Water.

고해상도 SAR 최적 설계를 위한 영상형성 시스템 변수 및 성능분석에 관한 연구 (A study on the image formation system variable and performance analysis for optimum design of high resolution SAR)

  • 곽준영;정대권
    • 한국항공우주학회지
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    • 제40권1호
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    • pp.49-60
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    • 2012
  • 합성 개구면 레이다(SAR: synthetic aperture radar)는 날씨 및 주 야간에 관계없이 고해상도의 영상을 형성할 수 있기 때문에 다양한 분야에서 활용되고 있다. 본 논문에서는 고해상도 SAR 설계시 경사거리와 합성개구면의 길이가 영상형성에 미치는 영향을 RMA 시뮬레이터를 이용하여 성능분석을 수행하였다. 형성된 영상의 성능은 직접 육안으로 확인할 수 있었으나, 영상을 분석하는 수치로서도 성능평가가 가능하였다. 보다 구체적으로, 다양한 경사거리와 합성개구면의 길이 변화와 영상획득을 위한 기하구조에 따라 이상적인 점표적에 대한 시뮬레이션의 원시 데이터를 생성하였고, Spotlight 영상 형성 알고리듬을 이용하여 이에 따른 점표적 응답특성의 공간 해상도, 최대 부엽 수준, 누적 부엽 수준에 대한 성능분석을 수행하였다.

낙동강 하구 해양환경 및 기상 요인이 김P(orphyra yezoensis) 생산량 변화에 미치는 영향 (Effects of Meteorological and Oceanographic Properties on Variability of Laver Production at Nakdong River Estuary, South Coast of Korea)

  • 권정노;심정희;이상용;조진대
    • 한국수산과학회지
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    • 제46권6호
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    • pp.868-877
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    • 2013
  • To understand the effects of marine environmental and meteorological parameters on laver Porphyra yezoensis production at Nakdong River Estuary, we analyzed marine environmental (water temperature, salinity, nutrients, etc.) and meteorological properties (air temperature, wind speed, precipitation, sunshine hours) with yearly and monthly variations in laver production over 10 years (2003-2013). Air and water temperature, wind speed, sunshine hours and precipitation were major factors affecting yearly variability in laver production at the Nakdong River Estuary. Lower air and water temperatures together with higher levels of nutrients and sunshine and stronger wind speeds resulted in higher laver harvests. Salinity and nitrogen did not show clear correlations with laver production, mainly due to the plentiful supply of nitrogen from river discharge and the low frequency of environmental measurements, which resulted in low statistical confidence. However, environmental factors affecting monthly laver production were related to the life cycle (culturing stage) of Porphyra yezoensis and were somewhat different from factors affecting annual laver production. In November, a young laver needs lower water temperatures for rapid growth, while a mature laver needs much stronger winds and more sunshine, as well as lower temperatures for massive production and effective photosynthesis, mostly in December and January. However, in spring (March), more stable environments with fewer fluctuations in air temperature are needed to sustain the production of newly deployed culture-nets ($2^{nd}$ time culture). These results indicate that rapid changes in weather and marine environments caused by global climate change will negatively affect laver production and, thus, to sustain the yield of and predict future variability in laver production at the Nakdong River estuary, environmental variation around laver culturing farms needs to be monitored with high resolution in space and time.

서해안 안흥에서 관측된 에어로솔의 농도 변화 및 크기분포 특성 (Characteristics of Aerosol Mass Concentrations and Size Distribution Measured at Anheung, Korea)

  • 이권호;이규태;김정호;문관호;안준모
    • 한국대기환경학회지
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    • 제34권5호
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    • pp.677-686
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    • 2018
  • An intensive measurement was conducted to study the mass and number concentrations of atmospheric aerosols in Anheung ($36.679^{\circ}N$, $126.186^{\circ}E$), the west coastal measurement site of Korea during December 2017~April 2018. To evaluate relationships between the aerosols and meteorological parameters, comparisons of Optical Particle Counter (OPC) measured data and Auto Weather System (AWS) data were performed. Measured PM mass concentrations are $PM_{10}=42.814{\pm}30.103{\mu}g/m^3$, $PM_{2.5}=29.674{\pm}25.063{\mu}g/m^3$, $PM_1=28.958{\pm}24.658{\mu}g/m^3$, respectively. The PM ratios showed that the $PM_{10}$ concentrations contained about 67.8% of $PM_{2.5}$, while most part of $PM_{2.5}$ was $PM_1$ (about 97.1%). Timely collocation with AWS data were performed, exploring relations with the PM concentrations. PM concentrations can be explained by wind direction and relative humidity conditions. The significant reductions of fine particles in mass and number concentrations may attribute to actions on particle growth and wet removal. In these results, we suppose that the aerosol concentrations and size distributions are affected by inflow direction and air mass sources from the origin.

한반도 지역 SBAS 대류층 지연 보정 모델의 정확도 검증 (Accuracy Verification of the SBAS Tropospheric Delay Correction Model for the Korean Region)

  • 김동욱;한덕화;기창돈;이철수;이충희
    • 한국항행학회논문지
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    • 제20권1호
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    • pp.23-28
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    • 2016
  • 본 논문에서는 한반도 지역에서 SBAS (satellite based augmentation system) 대류층 지연 보정 모델의 정확도 성능을 검증하였다. 정확도 분석을 위한 대류층 지연량 참값으로 IGS (International GNSS Service)에서 제공하는 정밀 대류층 천정 지연량인 ZPD(zenith path delay) 데이터를 활용하였다. 그리고 대표적인 대류층 지연 모델인 Saastamoinen 모델 및 Hopfield 모델과 성능을 비교하였다. 그 결과 SBAS 대류층 지연 보정 모델의 잔여 오차는 약 50 mm 수준으로, Saastamoinen 모델 및 Hopfield 모델보다 성능이 떨어졌다. 이 대류층 지연 모델에 의한 잔여오차는 SBAS 정확도 요구조건에는 문제가 없지만, 사용자 측위 성능에는 영향을 미칠 수 있다. 만약 한반도 기상 환경에 적합하도록 SBAS 대류층 보정 모델의 기상 파라미터를 수정한다면, 더 좋은 성능의 SBAS 서비스를 한반도에 제공할 수 있을 것으로 기대된다.

다중모델 칼만 필터를 이용한 무추력 비행체의 대기속도 추정 (Robust Airspeed Estimation of an Unpowered Gliding Vehicle by Using Multiple Model Kalman Filters)

  • 진재현;박정우;김부민;김병수;이은용
    • 제어로봇시스템학회논문지
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    • 제15권8호
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    • pp.859-866
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    • 2009
  • The article discusses an issue of estimating the airspeed of an autonomous flying vehicle. Airspeed is the difference between ground speed and wind speed. It is desirable to know any two among the three speeds for navigation, guidance and control of an autonomous vehicle. For example, ground speed and position are used to guide a vehicle to a target point and wind speed and airspeed are used to maximize flight performance such as a gliding range. However, the target vehicle has not an airspeed sensor but a ground speed sensor (GPS/INS). So airspeed or wind speed has to be estimated. Here, airspeed is to be estimated. A vehicle's dynamics and its dynamic parameters are used to estimate airspeed with attitude and angular speed measurements. Kalman filter is used for the estimation. There are also two major sources arousing a robust estimation problem; wind speed and altitude. Wind speed and direction depend on weather conditions. Altitude changes as a vehicle glides down to the ground. For one reference altitude, multiple model Kalman filters are pre-designed based on several reference airspeeds. We call this group of filters as a cluster. Filters of a cluster are activated simultaneously and probabilities are calculated for each filter. The probability indicates how much a filter matches with measurements. The final airspeed estimate is calculated by summing all estimates multiplied by probabilities. As a vehicle glides down to the ground, other clusters that have been designed based on other reference altitudes are activated. Some numerical simulations verify that the proposed method is effective to estimate airspeed.

예보인자의 효과적 추출을 위한 다항식 방사형 기저 함수 신경회로망 기반 초단기 강수예측 분류기의 설계 (Design of Very Short-term Precipitation Forecasting Classifier Based on Polynomial Radial Basis Function Neural Networks for the Effective Extraction of Predictive Factors)

  • 김현명;오성권;김현기
    • 전기학회논문지
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    • 제64권1호
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    • pp.128-135
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    • 2015
  • In this study, we develop the very short-term precipitation forecasting model as well as classifier based on polynomial radial basis function neural networks by using AWS(Automatic Weather Station) and KLAPS(Korea Local Analysis and Prediction System) meteorological data. The polynomial-based radial basis function neural networks is designed to realize precipitation forecasting model as well as classifier. The structure of the proposed RBFNNs consists of three modules such as condition, conclusion, and inference phase. The input space of the condition phase is divided by using Fuzzy C-means(FCM) and the local area of the conclusion phase is represented as four types of polynomial functions. The coefficients of connection weights are estimated by weighted least square estimation(WLSE) for modeling as well as least square estimation(LSE) method for classifier. The final output of the inference phase is obtained through fuzzy inference method. The essential parameters of the proposed model and classifier such ad input variable, polynomial order type, the number of rules, and fuzzification coefficient are optimized by means of Particle Swarm Optimization(PSO) and Differential Evolution(DE). The performance of the proposed precipitation forecasting system is evaluated by using KLAPS meteorological data.