• 제목/요약/키워드: Mean monthly temperature

검색결과 239건 처리시간 0.028초

Comparison of the Meteorological Factors on the Forestland and Weather Station in the Middle Area of Korea

  • Chae, Hee Mun;Yun, Young Jo
    • Journal of Forest and Environmental Science
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    • 제34권3호
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    • pp.249-252
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    • 2018
  • Climate is one of most important environmental factors on the forest ecosystem. This study was conducted to analyze the characteristics of meteorological factors in the forest area and weather stations from July 2015 to June 2016 in Cheuncheon and Hongcheon of Kangwon Province in Korea. The HOBO data logger was installed for meteorological analysis in forests area (site 1 and site 2). The meteorological data from the HOBO data logger compared with meteorological data of the weather station. The meteorological data used for the analysis was monthly mean temperature ($^{\circ}C$), monthly mean minimum temperature ($^{\circ}C$), monthly mean maximum average temperature ($^{\circ}C$), and monthly mean relative humidity (%). As a result of this study, the mean temperature ($^{\circ}C$) of forest area was relatively lower than weather station which is the outside the forest area, and the mean maximum temperature ($^{\circ}C$) of weather station was relatively higher than that of forest area. The mean relative humidity (%) was higher in forest area than weather station.

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.

전이함수모형에 의한 여수연안 표면수온 예측 (Transfer Function Model Forecasting of Sea Surface Temperature at Yeosu in Korean Coastal Waters)

  • 성기탁;최양호;구준호;이미진
    • 해양환경안전학회지
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    • 제20권5호
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    • pp.526-534
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    • 2014
  • 본 연구는 단일 입력 전이함수모형(Single-input transfer function model)을 적용하여 여수연안 2010년의 월평균 표면수온의 예측을 시도하였다. 전이함수모형을 수립하기 위한 입력시계열과 출력시계열은 각각 여수지방의 10년(2000-2009년)간의 월평균 기온자료와 표면수온자료를 이용하였다. 전이함수모형을 수립하기 위하여 입 출력 시계열을 사전백색화하고, 입 출력 시계열간의 각 시차에 대한 교차상관함수를 결정하였다. 교차상관함수는 음의 모든 시차에서 유의한 값을 갖지 않아 기온과 표면수온사이는 일방적 인과관계를 보였다. 또한 교차상관함수의 시차 0과 1에서 유의한 값을 보였다. 이러한 교차상관함수의 특징에 따라 입 출력시계열간 전이함수의 시차와 분모 및 분자의 차수(b, r, s)는 (0, 1, 0)으로 식별되었다. 구축된 전이함수모형에 따르면 기온과 표면수온 사이의 시차는 존재하지 않았다. 여기서 현재의 표면수온은 1개월 전의 표면수온과 선형관계가 있음을 보였으며, 잡음모형은 $ARIMA(1,0,1)(2,0,0)_{12}$로 식별되었다. 전이함수모형에 의한 월평균 표면수온의 예측치는 실측치에 비하여 전반적으로 $0.3-1.3^{\circ}C$ 높은 경향을 보였으며, 6.4 %의 평균절대백분율 오차를 포함하였다. 이러한 결과는 8.3 %의 평균절대백분율오차를 보인 ARIMA 모형에 비하여 향상된 예측성능을 보이는 것이며, 표면수온의 시계열적 예측을 시도할 경우, ARIMA 모형보다 전이함수모형의 적용을 통하여 그 예측성능의 개선 가능성을 기대할 수 있음을 시사하고 있다.

국내 대규모 공항의 항공기 온실가스 배출에 따른 복사강제력 및 기온변화 영향 연구 (Influence of Greenhouse Gas Emissions from Commercial Aircraft at Korean International Airports on Radiative Forcing and Temperature Change)

  • 송상근;손장호;정주희
    • 한국대기환경학회지
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    • 제30권3호
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    • pp.223-232
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    • 2014
  • Monthly variations of radiative forcing (RF) and mean temperature changes by greenhouse gases emitted from commercial aircraft were estimated based on the simplified expression at four international airports (Incheon, Gimpo, Jeju, and Gimhae Airports) during the years of 2009~2010. The highest RF and mean temperature change in the study area occurred at Incheon Airport, whereas the lowest RF and mean temperature change at Gimhae Airport. During 2009~2010, the mean RF and mean temperature change estimated from aircraft $CO_2$ emissions at Incheon Airport were approximately 30.0 $mW/m^2$ and $0.022^{\circ}K$, respectively. The mean RF and mean temperature changes caused by other greenhouse gas $N_2O$ was significantly small (<<0.1 $mW/m^2$ and << $1{\times}10^{-3}^{\circ}K$). Meanwhile, $CH_4$ emissions caused negative mean RF ($-4.45{\times}10^{-3}mW/m^2$ at Incheon Airport) and the decrease of mean temperature ($-3.83{\times}10^{-6}^{\circ}K$) due to consumption of atmospheric $CH_4$ in the aircraft engine.

한반도 미래 기온 변화 예측을 위한 ECHO-G/S 시나리오의 통계적 상세화에 관한 연구 (A Study on Statistical Downscaling for Projection of Future Temperature Change simulated by ECHO-G/S over the Korean Peninsula)

  • 신진호;이효신;권원태;김민지
    • 대기
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    • 제19권2호
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    • pp.107-125
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    • 2009
  • Statistical downscaled surface temperature datasets by employing the cyclostationary empirical orthogonal function (CSEOF) analysis and multiple linear regression method are examined. For evaluating the efficiency of this statistical downscaling method, monthly surface temperature of the ECMWF has been downscaled into monthly temperature having a fine spatial scale of ~20km over the Korean peninsula for the 1973-2000 period. Monthly surface temperature of the ECHOG has also been downscaled into the same spatial scale data for the same period. Comparisons of temperatures between two datasets over the Korean peninsula show that annual mean temperature of the ECMWF is about $2^{\circ}C$ higher than that of the ECHOG. After applying to the statistical downscaling method, the difference of two annual mean temperatures reduces less than $1^{\circ}C$ and their spatial patterns become even close to each other. Future downscaled data shows that annual temperatures in the A1B scenario will increase by $3.5^{\circ}C$ by the late 21st century. The downscaled data are influenced by the ECHOG as well as observation data which includes effects of complicated topography and the heat island.

산지계류의 계절적 수온변동 특성 및 영향인자 분석 (Seasonal Variations of Stream Water Temperature and its Affecting Factors on Mountain Areas)

  • 남수연;최형태;임홍근
    • 한국물환경학회지
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    • 제35권4호
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    • pp.308-315
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    • 2019
  • The objective of this study was to investigate mountain stream water and air temperatures, area, latitude, altitude, and forest coverage in headwater catchments located in Kangwon-do, Mid-eastern Korea from 2015 to 2017. Daily mean value of mountain stream water temperature was approximately $6^{\circ}C$ lower than the daily mean value of air temperature on the monitoring sites during the observation period. Monthly mean value of mountain stream water temperature increased with increasing monthly mean value of air temperature from May to August during the observation period. Seasonal variations of mountain stream water temperature were dependent on air temperature rising and falling periods. Correlation analysis was conducted on mountain stream water temperature to investigate its relationship with air temperature, area, latitude, altitude, and forest coverage of air temperature rising and falling periods. The correlation analysis showed that there exists a relationship (Correlation coefficient: -0.581 ~ 0.825; p<0.05), particularly the air temperature showed highest correlation with mountain stream water temperature. Regression equations could be developed due to contribution of air temperature to affect mountain stream water temperature (Correlation coefficient: 0.742 and 0.825; p<0.01). Therefore, a method using various parameters based on air temperature rising and falling periods, could be recommended for predicting mountain stream water temperature.

성별, 연령별로 본 한국인의 월별 피부온 (Monthly Changes of Skin Temperature in Koreans by Sexes and Ages)

  • 김명주;최정화
    • 한국의류학회지
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    • 제21권2호
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    • pp.314-324
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    • 1997
  • The purpose of this study was to evaluate the thermoregulatory response level on the heat and cold tolerance with investigating monthly changes of skin temperature in Koreans and to obtain the basal information for standard amount of clothing weight, indoor climate and working condition. Forty eight subjects in 5 age groups (6~11, 12~19, 20~44, 45~64, 65~76 years old) with both sexs were taken from Seoul and Kyunggi probince. All subjects were measured skin temperature, mean skin temperature, Total clothing weight in neutral condition in each month from June 1994 to May 1995. The results obtained are summarized as follows: 1. Skin temperature of all subjects was low on February, March and April, and was high on June, July and August. Temperatures of the torso (forehead and abdomen) and the lower limbs (leg and foot) were remarkably different. In general, most of skin temperatures except of hand, thigh and foot were higher in males. 2. Mean skin temperature was 0.5'c higher in males than female with ranging 32.5~34.5$^{\circ}C$ in males and 32.1~34.1$^{\circ}C$ in females. Also, mean skin temperature of 6~11 age group were higher than that of 45~ 64 age group in both sexs.

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한국의 황사 발생 빈도 분포와 변화 분석 (The Spatial Distribution and Change of Frequency of the Yellow Sand Days in Korea)

  • 김선영;이승호
    • 환경영향평가
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    • 제15권3호
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    • pp.207-215
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    • 2006
  • The purpose of this paper is to analyze the spatial distribution and change of the frequency of Yellow Sand days and to examine their relationship with atmospheric circular characteristics at the surroundings of the Korean peninsula. Yellow Sand days data are used by intensity, Siberian High Index and monthly mean temperature of the Northern Hemisphere. In the Middle-western region, the occurrence frequency of Yellow Sand days was higher during the study period (1973-2004). Also, the occurrence frequency of Yellow Sand days increased to latter half 16 years compared with the first half 16 years, and be clearer in Middlewest regions. Yellow Sand days frequency increased, and the trend was distinct in the Jungbu region during the study period. Increasing trend of Yellow Sand days frequency was significant for the recent 22 years. Yellow Sand days had a negative relationship with Siberian High Index in February and March. Therefore, Siberian High Index became weaker in the spring, and possibility for the occurrence of Yellow Sand days was generating larger. Yellow Sand days had a positive relationship in monthly mean temperature of the Northern Hemisphere. Especially, the case of the strong Yellow Sand days is significant. Recently, global warming might be affecting the occurrence of strong Yellow Sand days.

Spatial and Monthly Changes of Sea Surface Temperature, Sea Surface Salinity, Chlorophyll a, and Zooplankton Biomass in Southeastern Alaska: Implications for Suitable Conditions for Survival and Growth of Dungeness Crab Zoeae

  • Park, Won-Gyu
    • Fisheries and Aquatic Sciences
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    • 제10권3호
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    • pp.133-142
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    • 2007
  • To investigate conditions for the survival and growth of Dungeness crab zoeae in situ, spatial and monthly changes of sea surface temperature (SST), sea surface salinity (SSS), Chlorophyll ${\alpha}$ (Chl ${\alpha}$), and zooplankton biomass were measured in four transects: upper Chatham, Icy Strait, Cross Sound, and Icy Point in southeastern Alaska from May to September, 1997-2004. Monthly mean SST was coldest in May, increased throughout the summer months, and decreased in September. SST was coldest in the Cross Sound transect, intermediate in the upper Chatham and Icy Strait transects, and warmest in the Icy Point transect. SSS of northern stations in the upper Chatham and Icy Strait transects decreased throughout the summer months and increased in September, while that of other transects did not vary. Monthly mean Chl ${\alpha}$ was highest in May and decreased thereafter. Chl ${\alpha}$ in the upper Chatham and Icy Strait transects were relatively higher from May through September than those in the Cross Sound and Icy Point transects. Mean zooplankton biomass was highest in the Icy Strait transect in May and lowest in the Icy Point transect in September. This research suggests that oceanographic conditions during the season of Dungeness crab zoeae in southeastern Alaska may not constrain the survival and growth of Dungeness crab zoeae.

1998/1999 남극 킹조지섬 마리안소만 표층수에 서식하는 미세조류의 계절적 변동 (Seasonal Variation of Microalgae in the Surface Water of Marian Cove, King George Island, the Antarctic 1998/1999)

  • 강재신;강성호;이진환;최돈원;이상훈
    • 환경생물
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    • 제18권1호
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    • pp.21-31
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    • 2000
  • We investigated seasonal variation of microalgal assemblages, sea water temperature, salinity and suspended solid and the parameters measured daily from January 1998 to October 1999 at a nearshore shallow-water in Marian Cove, Maxwell Bay, King George Island, the Antarctic. Annual mean surface water temperature was -0.3$0^{\circ}C$ and the highest water temperature was 4.53$^{\circ}C$ (22 January 1999) and the lowest water temperature was -2.07$^{\circ}C$ (23 August 1998). Annual mean salinity was 33.38 psu, ranging from 42.80 psu (6 January 1999) to 19.50 psu (6 June 1999). Annual mean suspended solid (SS) during two years was 34.14 mgㆍ1$^{-1}$, ranging from 60.62 mgㆍ1$^{-1}$(7 March 1998) to 12.90 mgㆍ1$^{-1}$ (26 December 1998). Chlorophyll $\alpha$ (Chl $\alpha$) concentrations were measured in order to know seasonal variations of microalgae in the surface seawater. Annual mean of total Chl a concentration was 0.55$\mu\textrm{g}$ㆍ1$^{-1}$, the highest Chl $\alpha$ concentration (12.16$\mu\textrm{g}$ㆍ1$^{-1}$) appeared in 4 October 1998, the lowest Chl $\alpha$ concentration appeared 0.19$\mu\textrm{g}$ㆍ1$^{-1}$, Monthly mean total Chl $\alpha$ concentration was high in October 1998 (1.32$\mu\textrm{g}$ㆍ1$^{-1}$) and low in July on 1998 (0.28$\mu\textrm{g}$ㆍ1$^{-1}$). Annual mean nano-sized Chl $\alpha$ concentration was 0.40$\mu\textrm{g}$ㆍ1$^{-1}$, monthly mean nano -sized Chl $\alpha$ concentration was high in November 1998 (0.90$\mu\textrm{g}$ㆍ1$^{-1}$), and low in July 1999 (0.22$\mu\textrm{g}$ㆍ1$^{-1}$). Annual mean micro-sized Chl $\alpha$ concentration was 0.15$\mu\textrm{g}$ㆍ1$^{-1}$ monthly mean micro-sized Chl $\alpha$ concentration was high in October 1998 (0.81$\mu\textrm{g}$ㆍ1$^{-1}$), and low July 1998, January, February and September 1999 (0.05$\mu\textrm{g}$ㆍ1$^{-1}$). More than 65% of total Chl $\alpha$ was concentrated during spring and summer time between October and March. Microalgal variation appeared to be due to physical factors of seawater in the Antarctic nearshore from 1998 to 1999. The reason why micro-sized Chl $\alpha$ did not increase during austral summer was the bay had been frozen by decrease of water temperature. We think that total microalgal abundance was decreased because the summer microalgal abundance was determined by variation of water temperature during winter season. [Chl $\alpha$ concentration, Microalgal assembalges, Seasonal variation, the Antarctic nearshore].

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