• 제목/요약/키워드: Daily temperature

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풀사료 수량예측모델의 온도 정밀도 향상을 위한 일평균온도 추정 가능성 검토 (Possibility of Estimating Daily Mean Temperature for Improving the Accuracy of Temperature in Forage Yield Prediction Model)

  • 강신곤;조현욱;김지융;김경대;이배훈;김병완;성경일
    • 한국초지조사료학회지
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    • 제41권1호
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    • pp.56-61
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    • 2021
  • 본 연구는 기 개발된 풀사료 수량예측모델의 기후정밀도 향상을 위하여 지점별 일평균온도 추정의 가능성을 기상대 자료(종관기상관측지점 75개 와 방재기상관측지점 278개)의 연평균기온 및 월평균기온을 이용하여 검토하였다. 연평균기온과 월평균기온은 각각 정규성 확인, 위치정보(경도, 위도 및 해발고도)와의 상관관계 및 다중회귀분석을 실시하였다. 해발고도는 연평균기온 및 월평균기온에도 지속적인 영향을 미치는 것으로 나타났으며, 위도는 6월을 제외한 월평균기온에 영향을 미치는 것으로 나타났다. 경도는 6, 7, 8, 9, 10 및 11월의 월평균기온에 영향을 미치는 것으로 나타났다. 이상의 결과로 부터 일평균기온 추정은 경도, 위도 및 해발고도를 이용하여 가능할 것으로 판단하였다. 본 연구에서 전국의 기상자료를 사용하여 일평균기온의 추정은 가능하지만 보다 정확도를 높이기 위해서는 기상자료를 각 시·도로 세분화하여 적용할 필요가 있다.

Rectal Temperature of Lactating Sows in a Tropical Humid Climate according to Breed, Parity and Season

  • Gourdine, J.L.;Bidanel, J.P.;Noblet, J.;Renaudeau, D.
    • Asian-Australasian Journal of Animal Sciences
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    • 제20권6호
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    • pp.832-841
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    • 2007
  • Rectal Temperature;Thermoregulation;Sows;Breed;The effects of season (hot vs. warm) in a tropical humid climate, parity (primiparous vs. multiparous) and breed (Creole: CR, Large White: LW) on rectal temperature (RT) were studied for a total of 222 lactations obtained in 85 sows (43 CR and 42 LW; 56 primiparous and 166 multiparous) over a 28-d lactation, between June 2002 and April 2005. Mean daily ambient temperature was higher during the hot season than during the warm season (26.0 vs. $24.1^{\circ}C$) and relative humidity was high and similar in both seasons (89% on average). At farrowing, BW was lower (172 vs. 233 kg) and backfat thickness was higher (37 vs. 21 mm) in CR than in LW sows (p<0.01). During the hot season, the reduction of average daily feed intake (ADFI) was more pronounced in LW than in CR sows (-920 vs. -480 g/d, p<0.05). Rectal temperature was higher at 1200 than at 0700hr, which coincides with the maximum and the minimum values of daily ambient temperature. The daily RT increased ($+0.9^{\circ}C$; p<0.01) between d -3 and d 7 (d 0: farrowing day), remained constant between d 7 and d 25 and decreased (p<0.01) thereafter (i.e. $-0.6^{\circ}C$ between d 25 and d 32). The average daily RT was significantly higher during the hot than during the warm season (38.9 vs. $38.6^{\circ}C$; p<0.01). It was not affected by breed, but the difference in RT between the hot and warm seasons was more pronounced in LW than in CR sows (+0.4 vs. $+0.2^{\circ}C$; p<0.05). Parity influenced the RT response; it was greater in primiparous than in multiparous sows (38.9 vs. $38.7^{\circ}C$; p<0.01). This study suggests that thermoregulatory responses to heat stress can differ between breeds and between parities.

온도를 변수로 갖는 단기부하예측에서의 TAR(Threshold Autoregressive) 모델 도입 (Introduction of TAR(Threshold Autoregressive) Model for Short-Term Load Forecasting including Temperature Variable)

  • 이경훈;이윤호;김진오
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 추계학술대회 논문집 학회본부 A
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    • pp.184-186
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    • 2000
  • This paper proposes the introduction of TAR(Threshold Autoregressive) model for short-term load forecasting including temperature variable. TAR model is a piecewise linear autoregressive model. In the scatter diagram of daily peak load versus daily maximum or minimum temperature, we can find out that the load-temperature relationship has a negative slope in lower regime and a positive slope in upper regime due to the heating and cooling load, respectively. In this paper, daily peak load was forecasted by applying TAR model using this load-temperature characteristic in these regimes. The results are compared with those of linear and quadratic regression models.

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온도와 부하의 비선형성을 이용한 단기부하예측에서의 TAR(Threshold Autoregressive) 모델 (TAR(Threshold Autoregressive) Model for Short-Term Load Forecasting Using Nonlinearity of Temperature and Load)

  • 이경훈;이윤호;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제50권9호
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    • pp.399-399
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    • 2001
  • This paper proposes TAR(Threshold Autoregressive) model for short-term load forecasting including temperature variable. In the scatter diagram of daily peak load versus daily high or low temperature, we can find out that the load-temperature relationship has a negative slope in the lower regime and a positive slope in the upper regime due to the heating and cooling load, respectively. TAR model is adequate for analyzing these phenomena since TAR model is a piecewise linear autoregressive model. In this paper, we estimated and forecasted one day-ahead daily peak load by applying TAR model using this load-temperature characteristic in these regimes. The results are compared with those of linear and quadratic regression models.

온도와 부하의 비선형성을 이용한 단기부하예측에서의 TAR(Threshold Autoregressive) 모델 (TAR(Threshold Autoregressive) Model for Short-Term Load Forecasting Using Nonlinearity of Temperature and Load)

  • 이경훈;이윤호;김진오
    • 대한전기학회논문지:전력기술부문A
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    • 제50권9호
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    • pp.309-405
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    • 2001
  • This paper proposes TAR(Threshold Autoregressive) model for short-term load forecasting including temperature variable. In the scatter diagram of daily peak load versus daily high or low temperature, we can find out that the load-temperature relationship has a negative slope in the lower regime and a positive slope in the upper regime due to the heating and cooling load, respectively. TAR model is adequate for analyzing these phenomena since TAR model is a piecewise linear autoregressive model. In this paper, we estimated and forecasted one day-ahead daily peak load by applying TAR model using this load-temperature characteristic in these regimes. The results are compared with those of linear and quadratic regression models.

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Metabolic Heat Production and Rectal Temperature of Newborn Calves

  • Mundia, C.M.;Yamamoto, S.
    • Asian-Australasian Journal of Animal Sciences
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    • 제10권3호
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    • pp.304-307
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    • 1997
  • Rectal temperature (Tr), skin surface temperatures (Ts), and heart rate (HR) were measured continuously from birth (day 1) till day 7, while resting heat production (HP) was measured in a chamber on days 1, 3, 5 and 7, in order to study the characteristic variation of Tr in newborn calves by heat balance methods. Despite constant levels of milk being given to the newborn calves each day, daily mean resting HP was lowest on the day of birth, then increased to peak on day 3 and then decreased slightly thereafter. Daily mean HR was higher on days 2, 3 and 4, than on other days. Tr exhibited diurnal rhythms and daily mean Tr was low on day 1, high on day 3, and then decreased slightly after day 3. Daily average mean skin temperature (mTs) was similar on all days. Mean body temperature (Tb) exhibited diurnal rhythms and had a similar range between days, suggesting that heat balance and thermoregulation were carried out effectively on each day. The variation of Tb appeared to be synchronized with that of HP and suggested that newborn calves might use variations in the levels of Tb to facilitate the body's required levels of heart loss.

이중진공관형 태양열 집열기의 연간 집열효율에 관한 연구 (A Study on the Annual Storage Efficiency of Concentric Evacuated Tube Solar Energy Collector System)

  • 김기철;팽진기;윤영환
    • 한국태양에너지학회 논문집
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    • 제28권4호
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    • pp.50-55
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    • 2008
  • The Storage efficiency of concentric evacuated tube solar collector is tested for one year from January 1st to December 31st under the real sun condition. The testing equipment is operated continuously for three days without cooling the storage tank. Daily storage efficiency is obtained from dividing stored energy in the storage tank by solar insolation on the solar collector for each day. Daily averaged temperature of the storage tank is lowest in January and highest in August. Monthly averaged storage efficiency is also lowest in November and highest in June. Therefore, it can be said that the storage temperature and the storage efficiency are roughly proportional to outdoor temperature. Furthermore, the daily storage efficiency is reversely proportional to $(T_s-T_a)/I_c$ where $T_s$ and $T_a$ are daily averaged storage temperature and outdoor temperature from sunrise to sunset, and $I_c$ is total insolation on the solar collector for a day.

도시 토지피복별 불투수면적률과 녹지면적률에 따른 지표면 일최고온도 변화량 산정방법 (Development of calculating daily maximum ground surface temperature depending on fluctuations of impermeable and green area ratio by urban land cover types)

  • 김영란;황성환
    • 상하수도학회지
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    • 제35권2호
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    • pp.163-174
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    • 2021
  • Heatwaves are one of the most common phenomena originating from changes in the urban thermal environment. They are caused mainly by the evapotranspiration decrease of surface impermeable areas from increases in temperature and reflected heat, leading to a dry urban environment that can deteriorate aspects of everyday life. This study aimed to calculate daily maximum ground surface temperature affecting heatwaves, to quantify the effects of urban thermal environment control through water cycle restoration while validating its feasibility. The maximum surface temperature regression equation according to the impermeable area ratios of urban land cover types was derived. The estimated values from daily maximum ground surface temperature regression equation were compared with actual measured values to validate the calculation method's feasibility. The land cover classification and derivation of specific parameters were conducted by classifying land cover into buildings, roads, rivers, and lands. Detailed parameters were classified by the river area ratio, land impermeable area ratio, and green area ratio of each land-cover type, with the exception of the rivers, to derive the maximum surface temperature regression equation of each land cover type. The regression equation feasibility assessment showed that the estimated maximum surface temperature values were within the level of significance. The maximum surface temperature decreased by 0.0450℃ when the green area ratio increased by 1% and increased by 0.0321℃ when the impermeable area ratio increased by 1%. It was determined that the surface reduction effect through increases in the green area ratio was 29% higher than the increasing effect of surface temperature due to the impermeable land ratio.

공간통계기법을 이용한 전국 일 최고/최저기온 공간변이의 추정 (Estimation of Daily Maximum/Minimum Temperature Distribution over the Korean Peninsula by Using Spatial Statistical Technique)

  • 신만용;윤일진;서애숙
    • 대한원격탐사학회지
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    • 제15권1호
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    • pp.9-20
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    • 1999
  • 농업을 비롯한 산업활동을 효율적으로 수행하기 위해서는 전문 기상정보의 활용이 필수적이다. 영농활동에 있어서 의사지원시스템의 핵심으로 떠오르고 있는 작물 생장모형은 부단히 변화하는 대기환경에 대한 공간정보를 요구하기 때문에, 모형의 실용화를 위해서는 기상 관측밀도가 낮은 광범위한 작물 생육지역을 대상으로 일별 기상요소에 대한 공간분포를 추정해야 한다. 이러한 취지에서 본 연구는 미관측 지점을 포함하는 우리 나라 전국을 대상으로 작물모형의 구동에 필요한 최소 기상요소들 중에서 일 최고 및 일 최저기온의 공간적인 분포를 추정하고 그 추정 정도를 검증하고자 하였다. 이를 이해 먼저 58개 지점의 23년간 실측 기온자료로부터 지형기후학적 방법에 의하여 격자단위의 월별 기온평년값을 추정하고, 조화해석법에 의하여 일별값으로 변환하였다. 66개 기상청 관측소에서 수집된 임의 날짜의 최고/최저기온값과 관측소 해당 격자점의 평년값간 편차를 구한 다음, 미관측 격자점을 포함하는 한반도 전역의 기온편차를 거리역산가중법에 의하여 내삽.추정하였다. 각 격자점의 최종적인 기온 추정값은 기온 평년값에 이 편차를 더함으로써 얻었다. 얻어진 온도 분포는 위성자료로부터 추정한 지표온도분포 양상과 크게 다르지 않았다. 300여개의 자동기상관측 장비들로부터 수집된 자료와 비교한 결과, 추정오차는 $1.5^{\circ}C$~2.5$^{\circ}C$였다.

한국의 주요 대도시에 대한 일 최고 및 최저 기온의 장기변동 경향과 건강에 미치는 영향 전망 (Long-term Trends of Daily Maximum and Minimum Temperatures for the Major Cities of South Korea and their Implications on Human Health)

  • 최병철;김지영;이대근
    • 대기
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    • 제17권2호
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    • pp.171-183
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    • 2007
  • Trends of daily maximum and minimum temperatures in major cities of South Korea (Seoul, Busan, Incheon, Daegu, and Ulsan) during the past 40 years (1961-2000) were investigated. Temperature records for the Chupungryeong station were compared with those of the large cities because of the rural environment of the station. There were distinct warming trends at all stations, although the warming rates depend on each station's local climate and environment. The warming rates in Korea are much greater than the global warming trends, by a factor of 3 to 4. The most increasing rate in daily maximum temperature was at Busan with $0.43^{\circ}C$ per decade, the most increasing rate in daily minimum temperature was at Daegu with $0.44^{\circ}C$ per decade. In general, the warming trends of the cities were most pronounced in winter season with an increasing rate of $0.5^{\circ}C$/decade at least. Diurnal temperature range shows positive or negative trends according to the regional climate and environmental change. The frequency distribution of the daily temperatures for the past 40 years at Seoul and Chupungryeong shows that there have been reductions in cold day frequencies at both stations. The results imply that the impacts on human health might be positive in winter and adverse in summer if the regional warming scenario by the current regional climate model reflects future climate change in Korea.