• Title/Summary/Keyword: Penman evaporation

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An intercomparison of two satellite data-based evapotranspiration approaches (인공위성 데이터 기반의 두 공간 증발산 산정 모형 비교 분석)

  • Sur, Chan-Yang;Choi, Min-Ha
    • Journal of Wetlands Research
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    • v.13 no.3
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    • pp.471-479
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    • 2011
  • Evapotranspiration (ET) including evaporation from a land surface and transpiration from photosynthesis of vegetation is a hydrological factor that has an important role in water cycle. However, there is a limitation to understand it due to heterogeneity of land cover and vegetation. In this study, Mapping EvapoTRanspiration with Internalized Calibration (METRIC) model, one of the energy balance models, and MODerate resolution Imaging Spectroradiometer (MODIS) satellite based well-known Penman-Monteith algorithm were compared. Two ET maps were categorized and compared by land cover classification. The results represented overall applicability of the two models with the highest correlation coefficients in needleleaf and broadleaf forests. This study will be useful to estimate remote sensing based ET maps with high resolution and to figure out spatio-temporal variability and seasonal changes.

Study on the Water Consumption of Chinese Cabbage by Floating Lysimeter (Floating Lysimeter 에 의한 가을배추의 소비수량 조사연구)

  • 김시원;김선주;김준석
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.29 no.2
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    • pp.23-29
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    • 1987
  • This study was fulfilled by the floating lysimeter method at the experimental farm of Kon-Kuk University from August to November of 1986 to investigate the amount of evapotranspiration by the growing periods, evapotranspiration ratio, amount of watering per one time, days of intermission, soil moisture extraction pattern and crop coefficient of the Chinese cabbage cultivated in the sandy loam soil at the watering point of pF2.O. The results obtained are summarized as follows: 1.The total evapotranspiration during the growing period was 267.2mm, which was 3. 99mm by daily average, and the maximum evapotranspiration showed in the mid ten days of September with the value of 5.81mm I day. 2.The evapotranspiration ratio by the growing stages increased from the last ten days of September and showed maximum in the beginning of October, and the average evapotranspiration ratio was 1.4. 3.The days of watering intermission at the watering point of pF2.O was 2.4 days, and the average yield per plant was 3,228 g. 4. The soil moisture extraction pattern in the initial stage was 78.9 % in the 1st and 2nd soil layer and 21.1 % in the 3rd and 4th layer, and the mid-season stage, the moisture extraction proportion of the under layer accounted for 38.8 % which showed that the root elongated to the lowest soil layer. 5.The average crop coefficient(Kc) of the tested crop during the growing period was 0.67 by Penman equation and 2.36 by Pan Evaporation equation, which showed high difference by the calculation methods, and the changes of crop coefficient by the growing stages by Penman equation was favorable than those calculated by other met-hods.

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Estimation of water surface evaporation in Yongdam Dam using Empirical wind function (경험적 바람공식을 적용한 용담댐 내의 수면증발량 추정)

  • Minwoo Park;Sumiya Uranchimeg;Ho-Jun Kim;Min-kyu Jung;Hyun-Han Kwon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2023.05a
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    • pp.291-291
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    • 2023
  • 증발량을 산정하는 방법 중 증발접시를 활용한 방법은 하천의 증발량을 직접적으로 측정할 수 있는 장점이 있는 반면, 장기간의 증발접시를 활용한 증발량 추정은 현실적으로 쉽지 않다. 대표적인 증발량 산정식으로는 에너지 수지 및 공기동역학적 원리의 혼합적용 방법(PCE, Penman combination equation)과 경험적 바람공식(PWF, Penman wind function)이 있다. PCE로 산정된 증발량의 경우 하천 내 바닥열(bed heat flux)과 물기둥의 열저장 변화율이 장기간 규모의 순 복사량에 비해 작은 값을 가져 식에서 제외되므로 전반적으로 증발량이 과대 추정되는 문제가 발생한다. 반면, PWF로 산정한 증발량에서는 광범위한 매개변수 범위와 기상자료의 부족으로 모형의 불확실성을 증대시키는 요인으로 작용한다. 본 연구의 최종적인 목표는 하천 수로의 수면증발량을 추정하는 것이지만, 실제 하천 중심에서 증발량을 추정하기 위한 수문학적 자료는 매우 부족한 실정이다. 따라서, 본 연구에서는 유역단위에서의 증발량을 전이하는 방안을 모색하고자 하며, 구체적인 연구과정은 다음과 같다. 첫째, 유역단위 수문학적 자료를 수집하여(flux tower 자료 활용) 유역단위의 증발량을 산정한다. 둘째, PCE와 PWF으로 산정한 증발량과 관측된 증발량을 이용하여 각 식의 매개변수를 최적화한다. 마지막으로 최적화된 매개변수를 적용한 증발량과 관측값의 유사성을 분석한다. 본 연구에서는 하천단위의 증발량을 산정하기 위해 PWF을 적용하였으며 용담댐 내의 기상자료를 활용하여 산정한 증발량과 실제 용담댐 내의 수면증발량의 상관성을 분석한 결과 높은 상관성 확인할 수 있었다. 따라서 하천 주변에 증발량 추정을 위한 최소한의 기상정보가 존재하는 지역에서, 하천단위의 증발량을 산정할 수 있으며 장기간의 증발량도 산정할 수 있을 것으로 판단된다.

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Drainage Performance of Various Subsurface Drain Materials- (배수개선공법개발에 관한 연구(I) -각종 지하배수용 암거재료의 배수성능-)

  • 김철회;이근후;유시조;서원명
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.21 no.3
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    • pp.104-120
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    • 1979
  • I. Title of the Study Studies on the Development of Improved Subsurface Drainage Methods. -Drainage Performance of Various Subsurface Drain Materials- II. Object of the Study Studies were carried out to select the drain material having the highest performance of drainage; And to develop the water budget model which is necessary for the planning of the drainage project and the establishment of water management standards in the water-logged paddy field. III. Content and Scope of the Study 1. The experiment was carried out in the laboratory by using a sand tank model. The drainage performance of various drain materials was compared evaluated. 2. A water budget model was established. Various parameters necessary for the model were investigated by analyzing existing data and measured data from the experimental field. The adaptability of the model was evaluated by comparing the estimated values to the field data. IV. Results and Recommendations 1. A corrugated tube enveloped with gravel or mat showed the highest drainage performance among the eight materials submmitted for the experiment. 2. The drainage performance of the long cement tile(50 cm long) was higher than that of the short cement tile(25 cm long). 3. Rice bran was superior to gravel in its' drain performance. 4. No difference was shown between a grave envelope and a P.V.C. wool mat in their performance of drainage. Continues investigation is needed to clarify the envelope performance. 5. All the results described above were obtained from the laboratory tests. A field test is recommended to confirm the results obtained. 6. As a water balance model of a given soil profile, the soil moisture depletion D, could be represented as follows; $$D=\Sigma\limit_{t=1}^{n}(Et-R_{\ell}-I+W_d)..........(17)$$ 7. Among the various empirical formulae for potential evapotranspiration, Penman's formular was best fit to the data observed with the evaporation pans in Jinju area. High degree of positive correlation between Penman;s predicted data and observed data was confirmed. The regression equation was Y=1.4X-22.86, where Y represents evaporation rate from small pan, in mm/100 days, and X represents potential evapotranspiration rate estimated by Penman's formular. The coefficient of correlation was r=0.94.** 8. To estimate evapotranspiration in the field, the consumptive use coefficient, Kc, was introduced. Kc was defined by the function of the characteristics of the crop soil as follows; $Kc=Kco{\cdot}Ka+Ks..........(20)$ where, Kco, Ka ans Ks represents the crop coefficient, the soil moisture coefficient, and the correction coefficient, respectively. The value of Kco and Ka was obtained from the Fig.16 and the Fig.17, respectively. And, if $Kco{\cdot}Ka{\geq}1.0,$ then Ks=0, otherwise, Ks value was estimated by using the relation; $Ks=1-Kco{\cdot}Ka$. 9. Into type formular, $r_t=\frac{R_{24}}{24}(\frac{b}{\sqrt{t}+a})$, was the best fit one to estimate the probable rainfall intensity when daily rainfall and rainfall durations are given as input data, The coefficient a and b are shown on the Table 16. 10. Japanese type formular, $I_t=\frac{b}{\sqrt{t}+a}$, was the best fit one to estimate the probable rainfall intensity when the rainfall duration only was given. The coefficient a and b are shown on the Table 17. 11. Effective rainfall, Re, was estimated by using following relationships; Re=D, if $R-D\geq}0$, otherwise, Re=R. 12. The difference of rainfall amount from soil moisture depletion was considered as the amount of drainage required. In this case, when Wd=O, Equation 24 was used, otherwise two to three days of lag time was considered and correction was made by use of storage coefficient. 13. To evaluate the model, measured data and estimated data was compared, and relative error was computed. 5.5 percent The relative error was 5.5 percent. 14. By considering the water budget in Jinju area, it was shown that the evaporation amount was greater than the rainfall during period of October to March in next year. This was the behind reasonning that the improvement of surface drainage system is needed in Jinju area.

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Adequacy evaluation of the GLDAS and GLEAM evapotranspiration by eddy covariance method (에디공분산 방법에 의한 GLDAS와 GLEAM 증발산량의 적정성 평가)

  • Lee, Yeongil;Im, Baeseok;Kim, Kiyoung;Rhee, Kyounghoon
    • Journal of Korea Water Resources Association
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    • v.53 no.10
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    • pp.889-902
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    • 2020
  • This study was performed in Seolmacheon basin to evaluate the adequacy of GLDAS (Global Land Data Assimilation System) and GLEAM (Global Land Evaporation Amsterdam Model) evapotranspiration data. The verification data necessary for the evaluation of adequacy were calculated after processing the latent heat flux data produced in the Seolmacheon basin with the Koflux program. In order to gap-fill the empty period, alternative evapotranspiration was calculated in three ways: FAO-PM (Food and Agriculture Organization-Penman Monteith), MDV (Mean Diurnal Variation) and Kalman Filter. This study selected Kalman Filter method as the data gap-filling method because it showed the best Bias and RMSE among the three methods. The amount of GLDAS spatial evapotranspiration was calculated as Noah (version 2.1) with a time interval of 3 hours and a spatial resolution of 0.25°. The amount of GLEAM spatial evapotranspiration was calculated using GLEAM (version 3.1a). This study evaluated the spatial evapotranspiration of GLDAS and GLEAM as the evapotranspiration based on eddy covariance. As a result of evaluation, GLDAS spatial evapotranspiration showed better results than GLEAM. Accordingly, in this study, the GLDAS method was proposed as a method for calculating the amount of spatial evapotranspiration in the Seolmacheon basin.

The Integrational Operation Method for the Modeling of the Pan Evaporation and the Alfalfa Reference Evapotranspiration (증발접시 증발량과 알팔파 기준증발산량의 모형화를 위한 통합운영방법)

  • Kim, Sungwon;Kim, Hung Soo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.28 no.2B
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    • pp.199-213
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    • 2008
  • The goal of this research is to develop and apply the integrational operation method (IOM) for the modeling of the monthly pan evaporation (PE) and the alfalfa reference evapotranspiration ($ET_r$). Since the observed data of the alfalfa $ET_r$ using lysimeter have not been measured for a long time in Republic of Korea, Penman-Monteith (PM) method is used to estimate the observed alfalfa $ET_r$. The IOM consists of the application of the stochastic and neural networks models, respectively. The stochastic model is applied to generate the training dataset for the monthly PE and the alfalfa $ET_r$, and the neural networks models are applied to calculate the observed test dataset reasonably. Among the considered six training patterns, 1,000/PARMA(1,1)/GRNNM-GA training pattern can evaluate the suggested climatic variables very well and also construct the reliable data for the monthly PE and the alfalfa $ET_r$. Uncertainty analysis is used to eliminate the climatic variables of input nodes from 1,000/PARMA(1,1)/GRNNM-GA training pattern. The sensitive and insensitive climatic variables are chosen from the uncertainty analysis of the input nodes. Finally, it can be to model the monthly PE and the alfalfa $ET_r$ simultaneously with the least cost and endeavor using the IOM.

Estimation of the optimal evapotranspiration by using satellite- and reanalysis model-based evapotranspiration estimations (인공위성과 재분석모델 자료의 다중 증발산 자료를 활용하여 최적 증발산 산정 연구)

  • Baik, Jongjin;Jeong, Jaehwan;Choi, Minha
    • Journal of Korea Water Resources Association
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    • v.51 no.3
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    • pp.273-280
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    • 2018
  • Accurate estimation of evapotranspiration is mightily important for understanding and analyzing the hydrological cycle. There are various methods for estimating evapotranspiration and each method has its own advantages and limitations. Therefore, it is necessary to develop an optimal evapotranspiration product by combing different evapotranspiration products. In this study, we developed an optimal evapotranspiration by fusing two satellite- and model-based evapotranspiration estimates, including revised remote sensing-based Penman-Monteith (RS-PM) and Modified Satellite-Based Priestley-Taylor (MS-PT) methods, Global Land Data Assimilation System (GLDAS), and Global Land Evaporation Amsterdam Model (GLEAM). The statistical analysis (i.e., correlation coefficients, index of agreement, MAE, and RMSE) of combined evapotranspiration product showed to be improved compared to the individual model results. After confirming the overall results, in future studies, advanced data fusion techniques will be used to obtained improved results.

Studies on the Estimation of Catchment Eyapotranspiration by the Water Balance Method in the Geum River Basin, Korea (물 수지법에 의한 우리나라 하천유역(금강)의 계절(기)별 증발산량 추정에 관한 연구)

  • 엄병현;조진구;이문수;최수명
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.25 no.2
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    • pp.42-53
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    • 1983
  • In Korea, the demand for water is increasing greatly due to Korea's raqid economic progress which is similar to Japan's. A correct estimation of the runoff factors is the question that must be settled first to establish the appropritae plans for water use and water resources. of these plans the estimation of catchment evapotranspiration for every river basin is the subject of the most importance. It is impossible theoretically to measure evapotranspiration directly, because it is an at mospheric translatory phenomenon. Many approaches have been devised to estimate evapotranspiration, but each of these methods estimates from information taken from a specified point, and these methods are considered incomplete for estimating catchment evapotranspiration. In this paper, the seasonal evapotranspiration estimating method that was proposed by Linsly and was applied in the Kamigamo exprimental basin (subjected to Kyoto Univ.) by Takase et al, was used for the Geum river which is the main river in Korea. Conclusion of experiment. 1) The average annual Ec in this river basin from 1966 to 1972 was 470mm. That is considered appropriate since the average value for the six other large river basin in korea was 485mm. 2) The Ec/Ep and Ec/Epm ratios were 0.43 and 0.52, respectively (Ec : estimated evapotranspiration by water balance method, Ep : average pan evaporation, Epm : evaporation by Penman method). The seasonal Ec/Ep ratios were : 0.4 in spring, 0.6 in summer, 0.4 in autumn and 0.2 in winter. These are rather small when compared to Japan's or England's. 3) The reason for this was that the precipitational difference in wet and dry seasons were greater, an there was not sufficient soil moisture harmonize with the evapotranspiration capacity in the dry season, and that evapotranspiration was small due to the numerous barren mountains.

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Validation of Complementary Relationship Hypothesis for Evapotranspiration in Multipurpose Dam Basins (다목적댐유역에서의 증발산 보완관계가설 검증)

  • Kim, Jihoon;Kang, Boosik;Kim, Jin-Gyeom
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.3
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    • pp.549-559
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    • 2017
  • The complementary relationship hypothesis for areal evapotranspirations was validated in the regional-scale area of multipurpose dam basins in Korea and the long-term water balances were indirectly identified. Annual actual evapotranspiration ($ET_A$) was assumed the difference between total annual precipitation and total annual inflow and the available moisture was assumed the total precipitation. The seasonally varying pan coefficient (kp) is estimated as the ratio of the $ET_{pan}$ and the evapotranspiration calculated by FAO Penman-Monteith equation ($ET_{PM}$). The complementary relationships using ground observation data of $ET_P$ and $ET_A$ in the multipurpose dam basins follow generally the typical pattern that $ET_P$ and $ET_A$ is complementary and converges to equivalent evapotranspiration ($ET_W$) under the extreme wet environment. However, $ET_A$ of Juam dam was estimated relatively greater than other basins and exceeds even $ET_P$ at certain range with high moisture availability, which can be understood as the results of possible over-estimation of precipitation or under-estimation of dam inflow. It is expected that the use of evapotranspiration complementary relationship for validating hydrological water balances will contribute to controlling uncertainties in estimating dam inflows during flood season in particular.

Comparison of Artificial Neural Network and Empirical Models to Determine Daily Reference Evapotranspiration (기준 일증발산량 산정을 위한 인공신경망 모델과 경험모델의 적용 및 비교)

  • Choi, Yonghun;Kim, Minyoung;O'Shaughnessy, Susan;Jeon, Jonggil;Kim, Youngjin;Song, Weon Jung
    • Journal of The Korean Society of Agricultural Engineers
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    • v.60 no.6
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    • pp.43-54
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    • 2018
  • The accurate estimation of reference crop evapotranspiration ($ET_o$) is essential in irrigation water management to assess the time-dependent status of crop water use and irrigation scheduling. The importance of $ET_o$ has resulted in many direct and indirect methods to approximate its value and include pan evaporation, meteorological-based estimations, lysimetry, soil moisture depletion, and soil water balance equations. Artificial neural networks (ANNs) have been intensively implemented for process-based hydrologic modeling due to their superior performance using nonlinear modeling, pattern recognition, and classification. This study adapted two well-known ANN algorithms, Backpropagation neural network (BPNN) and Generalized regression neural network (GRNN), to evaluate their capability to accurately predict $ET_o$ using daily meteorological data. All data were obtained from two automated weather stations (Chupungryeong and Jangsu) located in the Yeongdong-gun (2002-2017) and Jangsu-gun (1988-2017), respectively. Daily $ET_o$ was calculated using the Penman-Monteith equation as the benchmark method. These calculated values of $ET_o$ and corresponding meteorological data were separated into training, validation and test datasets. The performance of each ANN algorithm was evaluated against $ET_o$ calculated from the benchmark method and multiple linear regression (MLR) model. The overall results showed that the BPNN algorithm performed best followed by the MLR and GRNN in a statistical sense and this could contribute to provide valuable information to farmers, water managers and policy makers for effective agricultural water governance.