• 제목/요약/키워드: daily maximum temperature

검색결과 406건 처리시간 0.024초

2DVD와 Parsivel 이용한 김해지역 강수사례일의 종관기상학적 분류 및 강수 특성 분석 (Synoptic Meteorological Classification and Analysis of Precipitation Characteristics in Gimhae Region Using 2DVD and Parsivel)

  • 천은지;박종길;정우식
    • 한국환경과학회지
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    • 제26권3호
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    • pp.289-302
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    • 2017
  • During the research period, error analysis of the amount of daily precipitation was performed with data obtained from 2DVD, Parsivel, and AWS, and from the results, 79 days were selected as research days. According to the results of a synoptic meteorological analysis, these days were classified into 'LP type, CF type, HE type, and TY type'. The dates showing the maximum daily precipitation amount and precipitation intensity were 'HE type and CF type', which were found to be attributed to atmospheric instability causing strong ascending flow, and leading to strong precipitation events. Of the 79 days, most days were found to be of the LP type. On July 27, 2011 the daily precipitation amount in the Korean Peninsula reached over 80 mm (HE type). The leading edge of the Northern Pacific high pressure was located over the Korean Peninsula with unstable atmospheric conditions and inflow of air with high temperature and high humidity caused ascending flow, 120 mm/h with an average precipitation intensity of over 9.57 mm/h. Considering these characteristics, precipitation in these sample dates could be classified into the convective rain type. The results of a precipitation scale distribution analysis showed that most precipitation were between 0.4-5.0 mm, and 'Rain' size precipitation was observed in most areas. On July 9, 2011, the daily precipitation amount was recorded to be over 80 mm (CF type) at the rainy season front (Jangma front) spreading across the middle Korean Peninsular. Inflow of air with high temperature and high humidity created unstable atmospheric conditions under which strong ascending air currents formed and led to convective rain type precipitation.

평면식 태양열집열기를 이용한 곡물 건조개선에 관한 연구 (A Study on the Performance of Flat-plate Solar Air Collector and its Application to Grain Drying)

  • 민영봉;최규홍
    • Journal of Biosystems Engineering
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    • 제3권2호
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    • pp.114-125
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    • 1978
  • The use of petroleum fuels in grain drying causes problems of high cost and management. To solve these problems, it is required to study on soLar energy as an alternative to petroleum fuels for grain drying. The purposes of this study were to find out the optimum received area and air flow rate of a flat-plate solar air collector for grain drying and to assess its effects on grain drying with a small grain bin. The results of this study are summarized as follows ; 1. The calculated optimum tilt angles of the collector in the summer and autumn drying seasons were 20 and 50 degress, respectively, in suwon area. 2. The outlet temperature of the collector was $36^\circ C$ on the daily average with the maximum of $36^\circ C$ at 12:00 o clock. Solar radiation on the collector surface was 1.04 ly( 1 langley = 1 cal/$cm^2$) per minute on the daily average and 1.30 ly per minute on the maximum at 11:00am. The thermal efficiency of the collector was 62.4 percent on the daily average, and the air flow-rate per unit receiving are was 1.03 $m^3$/min/$m^2$.4. The calculated optimum receiving area and the air flow-rate per unit cubic volume for paddy in autumn drying season was 2 $m^2$ and 2$m^3$/min , respectively. 5. not significantly difference in the collector efficiency was appeared between the rotating and fixed type of solar collector. 6. For drying of wheat with 0.6 meter of the depth in the bin, approximately 9 hours were required to reduce the moisture content from 21.6% to 13% with air follow rate of 5 $m^3$/min an initial moisture per cubic meter of wheat and with air temperature of $52^\circ C$. 7. In the drying test of rough rice with a turning operation in a grain bin approximately 21 hours were required to reduced the moisture from 21% to 14.5% with airflow rate of 2 $m^3$/min per cubic meter of rice and the air temperature of $43.5^\circ C$. 8. Over-drying at the bottom and less -drying at the top of the grain mass was resulted from the high -temperature of drying air which was obtained from the flat-plate solar collector in this test. An appropriate operation should be prepared for the uniform moisture of the grain in the bin.

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전자기후도를 이용한 고품질 사과생산 후보지역 탐색 (Using Digital Climate Modeling to Explore Potential Sites for Quality Apple Production)

  • 권은영;정재은;서형호;윤진일
    • 한국농림기상학회지
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    • 제6권3호
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    • pp.170-176
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    • 2004
  • 정밀 수치기후도를 기반으로 고품질 사과생산에 적합한 지역을 정밀하게 탐색할 수 있는 시스템을 개발하였다. 이 시스템을 전북 장수군에 적용하여 후지 및 쓰가루 품종의 재배적지를 도출하였다. 수치기후도는 장수군 주변 7개 기상청 표준관측소로부터 얻은 1971-2000년 기간 일 최고 및 최저기온의 월별 평균값을 토대로 지형기후모형에 의해 사방 10m 격자점의 기온자료를 공간내삽하여 얻었다. 기온자료로부터 사과의 만개기를, 4월 최저기온으로부터 종상일을 추정하여 상해위험도를 산정하였고, 재현기간 100년의 1월 극 최저기온으로부터 동해위험도를 산정하였다. 토지의 경사, 토성 및 토지이용도를 고려한 재배가능지역에서 기상재해 위험지역을 제외시키고, 남은 지역에 대해 품질기준을 적용하여 최종적인 재배후보지를 도출하였다. 품질기준인 Anthocyanin 함량, Hunter A value, L/D Ratio, Fresh Firmness, Soluble Solid에 미치는 기후의 영향을 경험식에 의해 표현하고 이것을 수치기후도에 적용하여 각 품질기준별 적합지역을 탐색하였다. 최종적으로 얻은 결과에 따르면, 쓰가루의 경우 전체 면적의 20%, 후지는 11%가 재배적지로 나타났다. 수치기후도 제작으로부터 중첩분석에 의한 재배적지 판정에 이르는 전체과정을 ArcObject를 이 용한 Visual BASIC 프로그램으로 작성하여 자동화하였고, MapObject를 이용하여 사용자가 ArcGIS 소프트웨어 없이도 구축된 수치기후도 등 공간정보를 직접 보면서 재배적지를 탐색할 수 있는 배포용 프로그램을 제작하였다.

생물계절모형을 이용한 벚꽃 개화일 예측 (Predicting Cherry Flowering Date Using a Plant Phonology Model)

  • 정재은;권은영;정유란;윤진일
    • 한국농림기상학회지
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    • 제7권2호
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    • pp.148-155
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    • 2005
  • An accurate prediction of blooming date is crucial for many authorities to schedule and organize successful spring flower festivals in Korea. The Korea Meteorological Administration (KMA) has been using regression models combined with a subjective correction by forecasters to issue blooming date forecasts for major cities. Using mean monthly temperature data for February (observed) and March (predicted), they issue blooming date forecasts in late February to early March each year. The method has been proved accurate enough for the purpose of scheduling spring festivals in the relevant cities, but cannot be used in areas where no official climate and phenology data are available. We suggest a thermal time-based two-step phenological model for predicting the blooming dates of spring flowers, which can be applied to any geographic location regardless of data availability. The model consists of two sequential periods: the rest period described by chilling requirement and the forcing period described by heating requirement. It requires daily maximum and minimum temperature as an input and calculates daily chill units until a pre-determined chilling requirement for rest release. After the projected rest release date, it accumulates daily heat units (growing degree days) until a pre- determined heating requirement for flowering. Model parameters were derived from the observed bud-burst and flowering dates of cherry tree (Prunus serrulata var. spontanea) at KMA Seoul station along with daily temperature data for 1923-1950. The model was applied to the 1955-2004 daily temperature data to estimate the cherry blooming dates and the deviations from the observed dates were compared with those predicted by the KMA method. Our model performed better than the KMA method in predicting the cherry blooming dates during the last 50 years (MAE = 2.31 vs. 1.58, RMSE = 2.96 vs. 2.09), showing a strong feasibility of operational application.

기후의 영향에 따른 동절기 전력수요 변화에 대한 연구 (The Research for the Change of Load Demand in Wintertime by the Influence of a Climate)

  • 안대훈;송광헌;최은재
    • 조명전기설비학회논문지
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    • 제23권9호
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    • pp.47-54
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    • 2009
  • '08.12$\sim$'09. 2월 동절기에 세계경제위축 심화에 따른 수출 급감으로 제조업은 마이너스 성장을 기록함에 따라 우리나라 전력소비의 53[%]를 차지하는 산업용 전력이 약 7[%]의 감소율을 나타내고 있다. 또한 국내에는 내수경기침체에 따른 전력소비 감소와 평년 대비 기온 상승으로 인한 난방수요 감소로 일일 전력수요 패턴에 많은 변화를 보이고 있다. 본 연구에서는 동절기의 최대전력, 평균전력, 상대계수에 의한 전력수요 패턴, 시간대별 온도민감도 분석을 통하여 최대전력은 GDP 성장률 보다는 기온변화에 민감한 반면, 평균전력은 GDP 성장률에 비례하여 감소하는 추세를 보이고 있는 것으로 분석되었다. 이 자료를 근거로 동 하절기의 최대전력과 평균전력의 정확한 전력 수요 예측으로 전력계통을 경제적이고 안정적으로 운영할 수 있다고 여겨진다.

인공신경망 기법을 이용한 장래 잠재증발산량 산정 (Estimation of Future Reference Crop Evapotranspiration using Artificial Neural Networks)

  • 이은정;강문성;박정안;최진영;박승우
    • 한국농공학회논문집
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    • 제52권5호
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    • pp.1-9
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    • 2010
  • Evapotranspiration (ET) is one of the basic components of the hydrologic cycle and is essential for estimating irrigation water requirements. In this study, artificial neural network (ANN) models for reference crop evapotranspiration ($ET_0$) estimation were developed on a monthly basis (May~October). The models were trained and tested for Suwon, Korea. Four climate factors, daily maximum temperature ($T_{max}$), daily minimum temperature ($T_{min}$), rainfall (R), and solar radiation (S) were used as the input parameters of the models. The target values of the models were calculated using Food and Agriculture Organization (FAO) Penman-Monteith equation. Future climate data were generated using LARS-WG (Long Ashton Research Station-Weather Generator), stochastic weather generator, based on HadCM3 (Hadley Centre Coupled Model, ver.3) A1B scenario. The evapotranspirations were 549.7 mm/yr in baseline period (1973-2008), 558.1 mm/yr in 2011-2030, 593.0 mm/yr in 2046-2065, and 641.1 mm/yr in 2080-2099. The results showed that the ANN models achieved good performances in estimating future reference crop evapotranspiration.

2012년 기상관측 결과와 한국형 수평면전일사량 예측식(I) (Prediction Correlation of Solar Insolation using Relationships between Meteorological Data and Solar Insolation in 2012)

  • 김하양;김정배
    • 한국태양에너지학회 논문집
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    • 제36권1호
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    • pp.1-9
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    • 2016
  • To well design the solar energy system, the correlation to calculate and predict solar irradiation is basically needed. So, this study was performed to reveal the relationships between the solar irradiation and four meteorological observation data(dry-bulb temperature, relative humidity, duration of sunshine, and amount of cloud) that didn't show from previous any other researches. And then, we finally proposed the various order non-linear correlation from the measured solar irradiation and four meteorological measurement data using MINITAB. To show the deviation and accuracy of the solar irradiation between measured and calculated, this study compared for the daily total solar insolation. From those results, the calculation error could well predicted about maximum 97% for the daily total solar insolation. But, the coefficients of the proposed correlations didn't show any relationships. So, needs more studies to make the proper one correlation for the country.

Does calf-mother contact during heat stress period affect physiology and performance in buffaloes?

  • Nripendra Pratap Singh;Madan Lal Kamboj
    • Animal Bioscience
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    • 제37권6호
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    • pp.1121-1129
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    • 2024
  • Objective: Objective of the study was to reduce heat stress in Murrah buffaloes and maintain their milk production and other vital functions during heat stress. Methods: A total of 21 dyads of calf-mother Murrah buffalo were selected for the study and equally divided in 3 treatment groups. First treatment group was restricted calf contact (RCC), second treatment group was fence line calf contact (FCC) and third treatment groups fence line calf contact and heat stress protection (FCC-HSP [time-controlled fan-fogger system] in the shed). Present study was conducted from April to mid-September 2021. Results: Maximum temperature and temperature humidity index in FCC-HSP shed were significantly (p<0.05) lower than that in FCC and RCC shed. Higher (p<0.05) mean daily milk yield in both the treatment groups FCC (10.36±0.30) and FCC-HSP (10.97±0.31) than RCC (8.29±0.41) was recorded. Though no significant difference between FCC and FCC-HSP in daily milk yield but FCC-HSP yielded 600 gm more milk than FCC. Pulse rate (PR) and respiration rate (RR) were lowest in FCC-HSP followed by FCC and RCC, respectively. Cortisol and prolactin levels were lower (p<0.05) in FCC-HSP followed by FCC and RCC, respectively. Conclusion: Hence, FCC along with heat stress ameliorative measures helped the buffaloes to be free of stress and maintain milk yield during heat stress period of the year in tropical conditions.

지역난방 사용자 구성비에 따른 열소비 패턴 분석 (Heat Consumption Pattern Analysis by the Component Ratio of District Heating Users)

  • 이훈;이민경;김래현
    • 에너지공학
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    • 제22권2호
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    • pp.211-225
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    • 2013
  • 본 연구에서는 서로 다른 위도의 도시 유형별로 주택과 건물 구성비를 가진 3지역을 선정하여 대상 지역별로 2008년 1년간(1.1~12.31)의 실제 운전실적을 이용하여 지역난방 사용자의 일일 및 연간 열소비 패턴을 분석하고, 지역별 상호 차이점을 파악하기 위하여 주택과 건물의 열소비 패턴을 비교 분석하였다. 특히 본 연구에서는 실제 주택 및 건물 지역난방 사용자가 사용한 열소비 패턴을 매시간대별로 파악하고, 연결 열부하(난방면적 ${\times}$ 단위열부하 : 시설용량과 지역난방 배관망의 설계기준이 되는 열부하로 난방면적에 용도별 단위열부하를 곱하여 산출[Gcal/h])와의 관계를 분석하여 일일, 연간 및 최대 부하율 결과값을 도출함으로써 주택 및 건물 지역난방 사용자 비율에 따른 최적의 열원시설 용량산정이 가능케 하고 수요개발(해당 시설용량으로 열공급이 가능한 지역난방 사용자의 범위로 각 사용자기계실의 연결열부하 합과 같음.)단계에서의 정확한 방향을 제시할 수 있는 근거를 도출하였다.

Seasonal Variation in Carcass Characteristics of Korean Cattle Steers

  • Piao, M.Y.;Baik, M.
    • Asian-Australasian Journal of Animal Sciences
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    • 제28권3호
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    • pp.442-450
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    • 2015
  • Climate temperature affects animal production. This study was conducted to evaluate whether climatic conditions affect beef carcass characteristics of Korean cattle steers. The monthly carcass characteristics of Korean cattle steers (n = 2,182,415) for 8 yr (2006 through 2013) were collected from the Korean Institute for Animal Products Quality Evaluation. Daily climate temperature (CT) and relative humidity (RH) data were collected from the Korean Meteorological Administration. Weather conditions in South Korea during summer were hot and humid, with a maximum temperature of $28.4^{\circ}C$ and a maximum RH of 91.4%. The temperature-humidity index (THI), calculated based on CT and RH, ranges from 73 to 80 during summer. Winter in South Korea was cold, with a minimum temperature of $-4.0^{\circ}C$ and a wind-chill temperature of $-6.2^{\circ}C$. Both marbling score (MS) and quality grade (QG) of Korean cattle steer carcasses were generally best (p<0.05) in autumn and worst in spring. A correlation analysis showed that MS and QG frequencies were not associated (p>0.05) with CT. Yield grade (YG) of Korean cattle steer carcasses was lowest (p<0.05) in winter (November to January) and highest in spring and summer (May to September). A correlation analysis revealed that YG frequency was strongly correlated ($r{\geq}0.71$; p<0.01) with CT and THI values. The rib eye area, a positive YG parameter, was not associated with CT. Backfat thickness (BT), a negative YG factor, was highest in winter (November and December). The BT was strongly negatively correlated ($r{\leq}-0.74$; p<0.01) with CTs. Therefore, the poor YG during winter is likely due in part to the high BT. In conclusion, YG in Korean cattle steer carcasses was worst in winter. QGs were not associated with winter or summer climatic conditions.