• Title/Summary/Keyword: Penman evaporation

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Agricultural Climatology of Cheju Island II. Potential Evapotranspiration Based on Near-Real Time Data Measured by Automated Weather Stations (제주도의 농업기후 분석 II. 무인관측강에 의한 기상실황자료 수집 및 증발산위 계산)

  • 윤진일
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.35 no.6
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    • pp.504-511
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    • 1990
  • Weather data acquisition and potential evapotranspiration (PET) calculation procedure were investigated to support the agricultural development efforts in the mid-altitude mountainous region of Cheju Island. Automated weather stations (AWS) were installed at two points representing the east and the west of the study area. A personal computer was employed to collect the near-real time weather data from AWS through the public telephone line. Hourly data were available for solar radiation, air and soil temperature, relative humidity, wind speed and direction, and precipitation. Based on the data for the month of June 1989, daily climatic features were comparatively analyzed for the two areas and the Penman equation was used to calculate PET. Air temperature was higher by 1 to 2 degree C in the east due mainly to the higher solar radiation and partly to the Fohn effect caused by the daytime southwesterly blowing over Mt. Halla. Diurnal march of soil temperature lagged by 4 hours behind that of air temperature and the diurnal range for 10cm subsurface soil was 3 degree C. Wind was consistently stronger and a marked sea-land breeze circulation was detected in the west. Calculated PET values were higher in the east by 6% than in the west. Overall values from the east and the west of the mid-altitude mountainous region were higher by 30% than those of the coastal region, which were estimated from the Class A Pan evaporation measured by the Korea Meteorological Service Offices.

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Method for Estimating Irrigation Requirements by G.H. Hargreaves. (Hargreaves식에 의한 필요수량산정에 관한 소고)

  • 엄태영;홍종진
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.18 no.3
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    • pp.4195-4205
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    • 1976
  • The purpose of this study is to evaluate the existing methods for calculating or estimating the consumptive use (Evaportranspiration) of any agricutural development project area. In determing the consumptive use water in the project area, there will require the best way for estimating irrigation requirement. Many methods for computing the evaportranspiration have been used, each of them with its merits and demerits at home and abroad. Some of these methods are listed as follows: 1.The Penman's formula 2.The B1aney-Criddle method 3.The Munson P.E. Index method 4.The Atmometer method 5.The Texas Water Rights Commission (TWRC) method 6.The Jensen-Haise method 7.The Christiasen method Therefore, the authors will introduce the more widely used method for calculating Consumptive Use by G.H. Hargreaves. The formula is expressed in the form Ep= K·d·T (1.0-0.01·Hn) Hn=1.0+0.4H+0.005H2. This method was adopted for the first time to determine the Irrigation requirements of Ogseo Comprehensive Agricultual Development project (Benefited area:100,500ha) in Korea. This method is presented in somewhat greater detail than the others. Formula is given for the computation of evaportranspiration (with various levels of data availability) Sampel computation of irrigation requirements for Ogseo irrigation project is included. The results and applied materials are summarized as follows. 1. In calculating the Hargreaves formula, the mean temperature relative, humidity, length of day, and percentage of sunshine from three stations of Iri, Jeonju, and Gunsan were used. 2. Monthly evaporation values were calculated by using the formula. 3. Meteological data from the three stations records for the ten years (1963∼1972) were used. 4. The annual irrigation requirements is 1,186mm per hectare, but the case to consider effective rainfall amount takes the annual irrigation demand being 700mm per hectare.

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Automation Survey Device of Water Surface Evaporation in The Yongdam Dam Experimental Basin (용담댐시험유역에서의 수면증발량 자동관측)

  • Lee, Hyun Seok;Kim, Yong Kuk;Cho, Hyoung Jin;Chae, Won Ki
    • Proceedings of the Korea Water Resources Association Conference
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    • 2015.05a
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    • pp.541-541
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    • 2015
  • 댐 물수지 분석에 있어 매우 중요한 요소는 강수량, 유입 방류량, 토양수분량, 증발산량 등이 있다. 현재 육지에서의 증발산량은 대부분 에디공분산시스템에 의해 관측되고 있으며, 많은 전문가들이 양질의 자료를 산출하고 있다. 하지만 수면에서의 증발량관측은 아직 부족한 상황이다. 우리나라는 기후특성상 여름철에 강우가 집중됨에 따라 효율적인 댐 관리가 매우 중요하다. 댐관리의 주요 인자인 수면증발량은 현재 용담댐에서만 이루어지고 있다. 용담댐의 수면증발량 관측은 2013년부터 수행되고 있고, 수면위에 플랫폼을 설치하고 팬 내부에 수심이 1 m인 대형증발팬을 고정하는 방식을 취하고 있으며, 관측된 수위자료는 호내 수온을 고려하여 수면증발량으로 환산된다. 관측항목으로는 팬 내 외부 및 저수지 표층 수온, 팬 내부 정밀 수위뿐만 아니라 다양한 기상요소들이 있다. 2013년에 생산한 수면증발량은 풍향풍속, 수온, 상대습도, 복사량, 강수량 자료를 통해 정확도를 검증하였으며, Penman(1984)공식을 활용하여 실측 수면증발량과 추정 수면증발량을 비교 분석하였다. 본 연구는 용담호에서 자동 관측되고 있는 수위변동 자료를 활용해 수면에서의 증발량을 분석하였다. 2014년 3월부터 2015년 2월까지의 자료를 활용하였으며, 관측기간 중 최대 일증발량은 9.7 mm/day, 월 최대 일평균증발량은 3.5 mm/month(10월)로 나타났다. 수면에서 가장 많은 증발량이 나타난 시기는 10월 (증발량 : 107.6 mm, 강수량 : 122.9 mm)로 강수량의 약 88 %가 증발되었음을 알 수 있었다. 그 다음으로는 9월과 5월 순이었다. 증발량이 가장 많다고 예상되었던 7월과 8월의 경우는 각각 18일과 21일간 강수가 발생하였으므로 대기 중의 높은 습도로 인해 증발량이 크지 않았다. 결론적으로 수면에서의 증발량이 기상환경에 의존하고 있다는 사실은 명백하다. 그러므로 효율적인 수자원관리를 위해서는 다양한 지점에서의 수면증발 관측 및 기상요소와의 상관 성분석이 시급하다고 판단된다.

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Validation of the Complementary Relationship of Evapotranspiration Hypothesis Using In-situ Measurements (관측자료 기반의 용담댐 유역 증발산 보완관계 가설 검증)

  • Eunji Kim;Boosik Kang
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.264-264
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    • 2023
  • 물순환 과정에서의 증발산은 장기적인 관점에서의 수자원 계획 수립 시 중요한 요소이다. 증발산은 기온, 상대습도, 일사량 등 기상학적 인자뿐만 아니라 증발표면, 식생분포 등 다양한 인자의 복합작용에 의해 일어나므로, 유역 단위에서 발생한 실제증발산(Actual evapotranspiration, AET)을 측정하기에는 기술적인 한계가 존재한다. 그러나 증발산 보완관계(Complementary relationship of evapotranspiration, CRE) 가설을 활용하면, 수문요소의 상호작용을 고려한 모델링을 거치지 않고도, 비교적 간단하게 AET를 추정할 수 있다. 본 연구는 증발산 관측자료를 기반으로 유역 단위에서의 CRE를 검증하고자 하며, 플럭스 타워 등 다양한 관측장비가 설치되어 있는 용담댐 시험유역을 대상유역으로 선정하였다. 용담댐 유역 내 산지에 위치한 덕유산 플럭스 타워에서 측정된 증발산을 AET로 보았으며, 유역 인근에 위치한 전주 기상관측소에서 측정되는 팬 증발량(Epan)을 잠재증발산량(Potential evapotranspiration, PET)으로 보았다. Epan 계측시, 증발팬의 가열 등 주변환경 변화로 인해 과다하게 추정되는 값을 보완하기 위해 FAO Penman-Monteith 식을 활용해 팬 증발량 보정계수(Coefficient of pan evaporation, kp)를 산정하여 적용하였다. 습윤증발산량(Wet evapotranspiration, WET)은 대기가 완전히 포화되었을 때 발생하는 증발산량으로, 댐 수표면에서 계측되는 수면증발량을 WET로 보았다. CRE 검증을 위해 AET와 PET를 각각 WET로 나누어 AET+와 PET+로 무차원화하였으며, 습윤지수(Moisture Index, MI)는 AET를 PET로 나누어 산정하였다. CRE 가설은 MI에 따른 AET+와 PET+가 서로 보완관계를 갖는다는 것인데, 용담댐 유역의 관측자료를 활용하여 CRE를 검증한 결과 AET+와 PET+ 간의 비대칭계수(b)가 1.23인 것으로 나타났다. 이 때의 평균제곱오차(MSE)는 0.599, 결정계수(R2)는 0.631로 나타나 CRE의 b가 적합하게 추정된 것으로 판단된다. 본 연구결과와 같이 검증된 CRE를 통해 증발산 관측지점이 없거나, 조밀하지 않은 유역의 AET를 간접추정할 수 있으며, 이를 활용해 보다 정확한 댐의 장기유출 모의와 용수공급계획 수립에 도움을 줄 수 있을 것으로 기대된다.

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Agro-climate Characteristics and Stability in Crop Production of Daegwallyeong Area in Korea (기상자료 분석을 통한 대관령 지역의 작물 최저 한계온도일 추정)

  • Ryu, Jong-Soo;Lee, Jeong-Tae;Lee, Gye-Jun;Oh, Dong-Shig
    • Korean Journal of Soil Science and Fertilizer
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    • v.45 no.6
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    • pp.1153-1156
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    • 2012
  • Daegwallyeong area to be formed along the mountainous terrain more above 800 m of sea level is known as the cold zone to occur frequently wind, rain and fog. This study to evaluate the stability of crop production and agricultural production potential in the Daegwallyeong was calculated for the low temperature frequency of occurrence and potential evapotranspiration changes with announce the release of Korea Meteorological Administration (KMA) from 1972 to 2009 up to 38 years. Evapotranspiration calculated FAO and other international standard method authorized under the PENMAN-MONTEITH Method was used, and the low temperature onset and frequency of the Gumbel probability density function was used. As a result, the variation of day evaporation for 38 years were showed to respectively width of variation from maximum $9mm\;day^{-1}$ to minimum $0.5mm\;day^{-1}$. The frequency of reappearance to first emergence day that lasts more than 5 days with temperature $5^{\circ}C$ over is 3 April a 50-year frequency, 10 April a 25-year frequency, 20 April a 10-year frequency, 28 April a 5-year frequency, 8 May a 2-year frequency. Psychrotrophic crop to growth temperature more than $5^{\circ}C$ can be secured to stable production with planting after May 8, prior to planting for normal growth can be seen that the risk of growth.

Modeling of Estimating Soil Moisture, Evapotranspiration and Yield of Chinese Cabbages from Meteorological Data at Different Growth Stages (기상자료(氣象資料)에 의(依)한 배추 생육시기별(生育時期別) 토양수분(土壤水分), 증발산량(蒸發散量) 및 수량(收量)의 추정모형(推定模型))

  • Im, Jeong-Nam;Yoo, Soon-Ho
    • Korean Journal of Soil Science and Fertilizer
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    • v.21 no.4
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    • pp.386-408
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    • 1988
  • A study was conducted to develop a model for estimating evapotranspiration and yield of Chinese cabbages from meteorological factors from 1981 to 1986 in Suweon, Korea. Lysimeters with water table maintained at 50cm depth were used to measure the potential evapotranspiration and the maximum evapotranspiration in situ. The actual evapotranspiration and the yield were measured in the field plots irrigated with different soil moisture regimes of -0.2, -0.5, and -1.0 bars, respectively. The soil water content throughout the profile was monitored by a neutron moisture depth gauge and the soil water potentials were measured using gypsum block and tensiometer. The fresh weight of Chinese cabbages at harvest was measured as yield. The data collected in situ were analyzed to obtain parameters related to modeling. The results were summarized as followings: 1. The 5-year mean of potential evapotranspiration (PET) gradually increased from 2.38 mm/day in early April to 3.98 mm/day in mid-June, and thereafter, decreased to 1.06 mm/day in mid-November. The estimated PET by Penman, Radiation or Blanney-Criddle methods were overestimated in comparison with the measured PET, while those by Pan-evaporation method were underestimated. The correlation between the estimated and the measured PET, however, showed high significance except for July and August by Blanney-Criddle method, which implied that the coefficients should be adjusted to the Korean conditions. 2. The meteorological factors which showed hgih correlation with the measured PET were temperature, vapour pressure deficit, sunshine hours, solar radiation and pan-evaporation. Several multiple regression equations using meteorological factors were formulated to estimate PET. The equation with pan-evaporation (Eo) was the simplest but highly accurate. PET = 0.712 + 0.705Eo 3. The crop coefficient of Chinese cabbages (Kc), the ratio of the maximum evapotranspiration (ETm) to PET, ranged from 0.5 to 0.7 at early growth stage and from 0.9 to 1.2 at mid and late growth stages. The regression equation with respect to the growth progress degree (G), ranging from 0.0 at transplanting day to 1.0 at the harvesting day, were: $$Kc=0.598+0.959G-0.501G^2$$ for spring cabbages $$Kc=0.402+1.887G-1.432G^2$$ for autumn cabbages 4. The soil factor (Kf), the ratio of the actual evapotranspiration to the maximum evapotranspiration, showed 1.0 when the available soil water fraction (f) was higher than a threshold value (fp) and decreased linearly with decreasing f below fp. The relationships were: Kf=1.0 for $$f{\geq}fp$$ Kf=a+bf for f$$I{\leq}Esm$$ Es = Esm for I > Esm 6. The model for estimating actual evapotranspiration (ETa) was based on the water balance neglecting capillary rise as: ETa=PET. Kc. Kf+Es 7. The model for estimating relative yield (Y/Ym) was selected among the regression equations with the measured ETa as: Y/Ym=a+bln(ETa) The coefficients and b were 0.07 and 0.73 for spring Chinese cabbages and 0.37 and 0.66 for autumn Chinese cabbages, respectively. 8. The estimated ETa and Y/Ym were compared with the measured values to verify the model established above. The estimated ETa showed disparities within 0.29mm/day for spring Chinese cabbages and 0.19mm/day for autumn Chinese cabbages. The average deviation of the estimated relative yield were 0.14 and 0.09, respectively. 9. The deviations between the estimated values by the model and the actual values obtained from three cropping field experiments after the completion of the model calibration were within reasonable confidence range. Therefore, this model was validated to be used in practical purpose.

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