• 제목/요약/키워드: Daily mean air temperature

검색결과 152건 처리시간 0.018초

섬진강 및 영산강 유역 기상자료의 시.공간적 상관성 (Temporal and Spatial correlation of Meteorological Data in Sumjin River and Yongsan River Basins)

  • 김기성
    • 한국농공학회지
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    • 제41권6호
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    • pp.44-53
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    • 1999
  • The statistical characteristics of the factors related to the daily rainfall prediction model are analyzed . Records of daily precipitation, mean air temperature, relative humidity , dew-point temperature and air pressure from 1973∼1998 at 8 meteorological sttions in south-western part of Korea were used. 1. Serial correlatino of daily precipitaiton was significant with the lag less than 1 day. But , that of other variables were large enough until 10 day lag. 2. Crosscorrelation of air temperature, relative humidity , dew-point temperature showed similar distribution wiht the basin contrours and the others were different. 3. There were significant correlation between the meteorological variables and precipitation preceded more than 2 days. 4. Daily preciption of each station were treated as a truncated continuous random variable and the annual periodic components, mean and standard deviation were estimated for each day. 5. All of the results could be considered to select the input variables of regression model or neural network model for the prediction of daily precipitation and to construct the stochastic model of daily precipitation.

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서울 및 6대 광역시의 기상요인을 고려한 대기오염이 주요 알레르기질환에 미치는 영향 (The Effect of Air Pollution on Allergic Diseases Considering Meteorological Factors in Metropolitan Cities in Korea)

  • 김효미;허진아;박윤형;이종태
    • 한국환경보건학회지
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    • 제38권3호
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    • pp.184-194
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    • 2012
  • Objectives: We investigated the effects of air pollution on allergic diseases (allergic rhinitis, asthma, atopic dermatitis) in metropolitan cities in Korea, adjusting for meteorological factors. Methods: Data on daily hospital visits and hospital admissions for 2003-2010 was obtained from the National Health Insurance Cooperation. Meteorological data was obtained from the Korea Meteorological Administration. We then calculated daily mean temperature, daily mean humidity, daily mean air pressure at sea level, and diurnal temperature range. We used data on air pollution provided by the National Institute of Environmental Research. Maximum daily eight-hour average ozone concentrations and the daily mean $PM_{10}$ were used. We estimated excess risk and 95% confidence interval for the increasing interquatile range (IQR) of each air pollutant using Generalized Additive Models (GAM) that appropriate for time series analysis. Results: In this study, we observed an association between ozone and hospital visits for allergic rhinitis, asthma, and atopic dermatitis in all metropolitan cities, adjusting for temperature, humidity, air pressure at sea level, diurnal temperature range, and day of the week. Ozone was associated with hospital visits for allergic rhinitis, asthma, and atopic dermatitis across all metropolitan cities. However $PM_{10}$ was associated with allergic-related diseases in only select cities. Also, ozone and $PM_{10}$ were associated with hospital admission for asthma in all cities except Gwangju. Hospitalization for the other diseases failed to show consistent association with air pollutants. Conclusion: In the findings of this study, there was a significant association between air pollutants and allergic-related diseases. More detailed research subdivided age group or conducting meta-analyses combining data of all cities is required.

河川의 日別 水溫差에 대한 推計學的 特性 (Stochastic Properties of Daily Temperature in Rivers)

  • Ahn, Ryong Me;Lee, Hong Keun
    • 한국환경보건학회지
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    • 제10권1호
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    • pp.1-12
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    • 1984
  • The stochastic characteristics of the daily range of water temperature variation was analyzed by employing the techniques of autocorrelation coefficient, autoreggresive model and crosscorrelation model. These time series included daily observations on maximum and minimum values of water temperature and air temperature. The measurement was made by automatic recording instrument at Gu-yee and Dook-do in Han River, and at Waegwan and Gu-mi in Nackdong River in 1981. As a result of this study, it was found that (1) The correlogram of daily water temperature ranges $\Delta AT_i$ and daily air temperature $\Delta AT_i$ at Gu-mi and Gu-yee showed the exponential curves. (2) The most high frequency values of $\Delta AT_i$ and $\Delta WT_i$ were 11$\circ$C and 0.5${\circ}C$ respectively at every measuring site. (3) The correlation coefficients between the daily mean air temperature AT$_i$ and the daily mean water temperature were fairly high as 0.966 at Dook-do and 0.949 at Gu-yee, but the correlation coefficients between $\Delta AT_i$ and $\Delta WT_i$ were very low as 0.1074 at Gu-yee and 0.0324 at Dook-Do.

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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.

Daily Changes in Red-Pepper Leaf Surface Temperature with Air and Soil Surface Temperatures

  • Eom, Ki-Cheol;Lee, Byung-Kook;Kim, Young-Sook;Eom, Ho-Yong
    • 한국토양비료학회지
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    • 제47권5호
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    • pp.345-350
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    • 2014
  • This study was conducted to investigate the changes in daily surface temperature of red pepper leaf compared to air and soil surface temperature. The maximum, minimum and average daily temperatures of red pepper leaf were 27.80, 11.40 and $19.01^{\circ}C$, respectively, which were lower by 0.10, 7.60 and $3.86^{\circ}C$ than air temperature, respectively, and lower by 15.00, 0.0 and $4.38^{\circ}C$ than soil surface temperature, respectively. Mean deviations of the difference between measured and estimated temperature by the E&E Model (Eom & Eom, 2013) for the air and surface temperature of red pepper leaf and soil were 0.64, 1.82 and $4.77^{\circ}C$, respectively. The relationships between measured and estimated scaled factor of the air and surface temperature of red pepper leaf and soil were very close to the 1:1 line. Difference between air and surface temperature of red pepper leaf showed a linear decreasing function with the surface temperature of red pepper leaf. Difference between soil surface temperature and air and surface temperature of red pepper leaf linearly increased with the soil surface temperature.

태양복사 및 기상요소의 고농도 오존형성에 대한 상관성 분석 (Correlation analysis of solar radiation and meteorological parameters on high ozone concentration)

  • 안재호
    • KIEAE Journal
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    • 제12권6호
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    • pp.93-98
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    • 2012
  • The concerns on high ozone concentration phenomenon is significantly growing in Seoul metropolitan area including the industry complex area, like Shiwha Banwol area. The aims of this research is the analysis of relationship between high concentrations of $O_3$ and solar radiation parameters in atmosphere. The understanding of the effects of solar radiation intensity, humidity, high air temperature on ozone concentration in a day is very useful to provide a direction for reducing of the high ozone concentration to a local government or a metropolitan government. The correlation analysis between maximum ozone concentration and various meteorological parameters in 2009 - 2011 carried out using IBM's SPSS program. The results showed that the mean correlations coefficient (R) between daily Ozone maximum and solar radiation resulted R = 0.64 during 2011. May - September in 10 air pollution stations. In case of correlations between daily ozone maximum and relative humidity showed negative correlation R = -0.61. The correlation analysis with mean air temperature during 1-3 PM resulted R = 0.29. This low correlation coefficient could be corrected by using of categorized data of ozone concentration. The daily maximum ozone concentration is more dependent on peak solar radiation and high air temperature during 1-3 PM than its simple daily maximum values. The results of this research would be used to develop the high ozone alert system around Seoul metropolitan area. This correlation analysis could be partially integrated to prediction of ozone peak concentration in connection with other methods like classification and regression tree(CART).

1월 일최저기온 평균을 이용한 한국의 재현기간별 일 최저기온 극값 예측 (Estimation of the Periodic Extremes of Minimum Air Temperature Using January Mean of Daily Minimum Air Temperature in Korea)

  • 문경환;손인창;서형호;최경산
    • 한국농림기상학회지
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    • 제14권4호
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    • pp.155-160
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    • 2012
  • 이 연구는 1월 일 최저기온의 평균을 이용하여 재현기간별 일 최저기온의 극값을 예측하는 방법을 개발하기 위해서 수행되었다. 전국 61개 기상관서의 1961~2010년의 50년 간의 일 최저기온자료를 이용하여 전체 연구를 수행하였다. 1월의 일 최저기온의 분포는 대부분 정규분포를 나타내고 있어, 이는 평균과 표준편차로부터 일 최저기온을 확률적인 기댓값으로 예측될 수 있었다. 이를 위하여 일 최저기온평균으로부터 일 최저기온의 표준편차의 변이를 추정하는 2차식을 개발하였다. 과거 10, 20, 30, 40, 50년의 재현 기간별로 관측된 일 최저기온의 평균, 표준편차, 극값을 분석하여 재현기간별 극값을 예측할 수 있는 계수를 도입하였고, 이 계수를 재현기간별로 추정할 수 있는 로그함수식도 개발하였다. 이 방법을 이용하여 과거 두 기간의 30년 자료를 이용하여 61개 지점에 대해 검증하였는데 평균 $1.1^{\circ}C$, 최대 $5.3^{\circ}C$의 오차를 가지고 과거 30년 재현기간의 일 최저기온의 극값을 예측할 수 있었다.

지형기후모형에 근거한 서리경보시스템 구축 (Site - Specific Frost Warning Based on Topoclimatic Estimation of Daily Minimum Temperature)

  • 정유란;서희철;윤진일
    • 한국농림기상학회지
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    • 제6권3호
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    • pp.164-169
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    • 2004
  • A spatial interpolation scheme incorporating local geographic potential for cold air accumulation (TOPSIM) was used to test the feasibility of operational frost warning in Chatancheon basin in Yeoncheon County, where the introduction of new crops including temperate zone fruits is planned. Air temperature from April to June 2003 was measured at one-minute intervals at four locations within the basin. Cold-air accumulation potentials (CAP) at 4 sites were calculated for 3 different catchment scales: a rectangular area of 65 x 55 km which covers the whole county, the KOWACO (Korea Water Corporation) hydrologic unit which includes all 4 sites, and the sub-basins delineated by a stream network analysis of the digital elevation model. Daily minimum temperatures at 4 sites were calculated by interpolating the perfect prognosis (i.e., synoptic observations at KMA Dongducheon station) based on TOPSIM with 3 different CAPs. Mean error, mean absolute error, and root mean square error were calculated for 45 days with no precipitation to test the model performance. For the 3 flat locations, little difference was detected in model performance among 3 catchment areas, but the best performance was found with the CAPs calculated for sub-basins at one site (Oksan) on complex terrain. When TOPSIM loaded with sub-basin CAPs was applied to Oksan to predict frost events during the fruit flowering period in 2004, the goodness of fit was sufficient for making an operational frost warning system for mountainous areas.

Past and Future Temperature and Precipitation Changes over Korea using MM5 Model

  • Oh, Jai-Ho;Min, Young-Mi;Kim, Tae-Kook;Woo, Su-Min;Kwon, Won-Tae;Baek, Hee-Jeong
    • 한국제4기학회:학술대회논문집
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    • 한국제4기학회 2004년도 하계학술대회
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    • pp.29-29
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    • 2004
  • Long term observational analysis by climatologists has confirmedthat the global warming is no longer a topic of debate among scientists andpolicy makers. According to the report of IPCC-2001 (Intergovernmental Panelon Climate Change), the global mean surface air temperature is increasinggradually. The reported increase of mean temperature is by 0.6 degree in the end of twentieth century. This could represent severe threat for propertylosses especially due to increase in the number of extreme weather arising out of global warming. period of model integration from 2001 to 2100 using output of ECHAM4/HOPE-G of Max Planet Institute of Meteorology (MPI) for IPCC SRES (Special Report on Emission Scenarios). The main results of this study indicate increase of surface air temperature by 6.20C and precipitation by 2.6% over Korea in the end of 21st century. Simulation results also show that there is increase in daily maximum and minimum temperatures while decrease in diurnal temperature range (DTR). DTR changes are diminished mainly due to relatively rapid increase of daily minimum temperature than that of daily maximumtemperature. It has been observed that increase in precipitation amount anddecrease in the number of rainy days lead to increase of pre precipitationintensity.

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일평균기온의 지역별 출현특성 분석에 의한 벼 건답직파 출아조한의 파종기 결정 (Determination of Critical Early Seeding Date for Seedling Emergence in Dry-Seeded Rice Based on Statistical Analysis of Daily Mean Air Temperature in Korea)

  • 최돈향
    • 한국작물학회지
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    • 제39권5호
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    • pp.437-443
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    • 1994
  • 벼의 생산비 절감을 위한 성력재배의 측면에서 전국적으로 확대 실시 보급되고 있는 건답 직파재배 안전성을 기후적으로 검토하고자 출아 조한의 파종기 결정에 대한 유효기준온도인 일평균기온 1$0^{\circ}C$ 출현초일과 80% 출현시기를 지역별로 분석한 결과, 가. 연차간('73~'92, 20년간) 변이는 일수로서는 약 20~30일, 표준편차(SD)로는 약 5~7일의 차이가 있었고, '88년 이후는 평균 출현초일보다 빨라져 영농면에서 큰 관심이 되고 있음. 나. 지역별 분포(기상청 관측의 56개 지점 분석)는 북부(대관령, 5월 1일)와 남부(부산, 3월 30일)간에는 약 30일 이상의 출현시기에 차이가 있어 우리나라의 기후자원량 분석의 필요성을 느낄 수 있음. 다. 일평균기온 1$0^{\circ}C$ 평균 출현초일은 80% 출현 시기보다 약 10일 정도 빠른 경향이며 라. 19개의 수도재배농업기후지대별 평균 출현초일과 80% 출현시기의 유사성을 중심으로 다시 단순화시켜 구분하면 19개 지대는 7개의 유형으로 구분할 수 있었음.

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