Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China

Yan, Huimin; Li, Mi; Zhou, Chuan; Zhang, Jianyun; Wang, Guoqing; Yu, Jianjun; Ma, Jiamin; Zhao, Shuang

doi:10.1016/j.agwat.2022.107464

Cited by 13 publications

(6 citation statements)

References 42 publications

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“…where K c max is the maximum value of K c following rain or irrigation, f ew is the fraction of the soil that is wetted (=0.5) for irrigation, K r is the evaporation reduction coefficient dependent on the cumulative depth of water depleted from the soil surface, which is expressed as follows [25,28]:…”

Section: Fao-56 Crop Coefficient Methodsmentioning

confidence: 99%

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Optimization of Subsurface Drip Irrigation Schedule of Alfalfa in Northwest China

Zheng

Wang

Cao

et al. 2023

Water

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Determination of an optimum irrigation amount and buried depth of subsurface drip irrigation laterals is significantly important in improving crop yield and irrigation water using efficiency in arid regions. In this study, the effects of three irrigation volumes (15.0, 22.5 and 30.0 mm) and three burial depths (10, 20 and 30 cm) of drip laterals on water consumption, yield and water productivity of alfalfa were investigated in a field trial. The water balance equation and FAO-56 crop coefficient methods were applied to determine the evapotranspiration of alfalfa. The results showed that the alfalfa evapotranspiration estimated by the dual crop coefficient method was closer to the actual measured values. The alfalfa water consumption, yield and water productivity increased significantly (p < 0.01) with the increase in irrigation amount, but the increasing trend turned to decrease (p < 0.05) with the increase of the buried depth of the drip irrigation laterals. During the whole growing period of alfalfa, the total water consumption ranged from 400 to 500 mm, the total yield ranged from 7500 to 12,000 kg/hm2 and the water productivity was 1.80 to 2.50 kg/m3. An optimized irrigation amount of 22.5 to 30.0 mm for an irrigation event with a frequency of 5 to 7 days using buried drip irrigation with an irrigation lateral depth of 20 cm was recommended for alfalfa in the study area.

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Section: Fao-56 Crop Coefficient Methodsmentioning

confidence: 99%

“…The crop coefficient methods recommended by the FAO-56 are methods to calculate the actual evapotranspiration of crops, which can simply and accurately reflect the evapotranspiration patterns and characteristics of different agroecosystems during different growth stages [28].…”

Section: Evapotranspiration Of Alfalfa Calculated By the Crop Coeffic...mentioning

confidence: 99%

Optimization of Subsurface Drip Irrigation Schedule of Alfalfa in Northwest China

Zheng

Wang

Cao

et al. 2023

Water

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“…The statistical indices include the coefficient of determination ( R 2 ), mean absolute error (MAE) and root mean square error (RMSE), defined as follows:

R^{2} goodbreak= ([], \frac{{false\sum}_{i = 1}^{N} (Q_{i} - \overset{true¯}{Q}) (P_{i} - \overset{true¯}{P})}{\sqrt{{(Q_{i} - \overset{true¯}{Q})}^{2}} \sqrt{{(P_{i} - \overset{true¯}{P})}^{2}}}),

MAE goodbreak= \sum_{i = 1}^{N} (||, Q_{i} goodbreak- P_{i}) / N,

RMSE goodbreak= {[\sum_{i = 1}^{N} {((), Q_{i} goodbreak- P_{i})}^{2} / N]}^{0.5},

where Q i and P i are the measured and simulated data, respectively;

\overset{Q}{true}

and

\overset{P}{true}

are the means of the measurements and simulations, respectively; and N is the number of observations. The perfect model will have R 2 = l and RMSE and MAE = 0 (Yan et al, 2019; Yan et al, 2022).…”

Section: Methodsmentioning

confidence: 99%

Calibration and assessment of evapotranspiration methods for cucumber plants in a Venlo‐type greenhouse

Huang

Zhao

Zhou

et al. 2023

Irrigation and Drainage

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Accurate estimation of actual crop evapotranspiration (ETc) is a necessary step in water resource management. Several ETc models have been developed and applied to estimate ETc in open fields. To date, there is no standard equation to estimate ETc under greenhouse conditions due to the structural and environmental differences between greenhouses and open fields. Therefore, an experiment was conducted in a Venlo‐type greenhouse in south‐east China during four planting seasons of cucumber plants in 2018 and 2019. Four methods, the pan evaporation method (Kp‐method), crop coefficient model (Kc‐method), Penman–Monteith model (rc‐method) and Priestley–Taylor model (αPT‐method), were employed and parameterized to estimate the ETc of cucumber in the Venlo‐type greenhouse. The performances of the four models were evaluated using ETc measured by lysimeters. The Kp‐method and αPT‐method underestimated and overestimated ETc values with root mean square errors (RMSEs) equal to 0.79 and 0.49 mm day−1 for the spring‐summer planting season (SSPS) and 0.35 and 0.51 mm day−1 for the autumn‐winter planting season (AWPS), respectively. The Kc‐method and rc‐method showed comparatively good performances in estimating cucumber ETc, with RMSEs equal to 0.53 and 0.34 mm day−1 for SSPS and 0.35 and 0.47 mm day−1 for AWPS, respectively.

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“…Changes in the actual evapotranspiration are closely related to meteorological conditions (such as the air temperature, precipitation and wind speed) and surface characteristics (including soil moisture, crop type and growth status) (Wang et al 2016;Lu et al 2022). Accurate evapotranspiration estimation is of great significance for guiding water use in agricultural production, monitoring farmland drought, studying the law of water consumption during the growth cycle of farmland crops, improving the water use efficiency, rationally allocating agricultural water resources and irrigation management (Hang et al 2021;Yan et al 2022;Zhao et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Comparison and applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on the eddy covariance system

Ren

Zhang

et al. 2023

Preprint

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Evapotranspiration is an important part of the hydrological cycle and a key indicator to measure hydrological and energy transfer in the soil-plant-atmosphere continuum (SPAC). In this study, maize farmland in the lower Yellow River, an important grain production base in China, was selected as the research object. Based on the actual observation data of the eddy covariance system during the summer maize growth cycle, ten common evapotranspiration estimation models, including the FAO-56 Penman‒Monteith (P-M) model, Hargreaves–Samani (H-S) model, Priestley–Taylor (P-T) model, Makkink (Ma) model, Jensen–Haise (J-H) model, Irmark–Allen (I-A) model, Doorenbos–Pruitt (D-P) model, McCloud (Mc) model, Kimberly–Penman (K-P) model and Abtew (Ab) model, were evaluated in estimating the applicability of the actual evapotranspiration. The mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE) and index of agreement (D) were chosen as evaluation indices. The Pearson correlation test and principal component analysis methods were used to explore the main influencing factors of actual evapotranspiration. The comprehensive ranking of the applicability of each model in the study area was obtained by synthesizing each index: J-H > P-T > Mc > K-P > I-A > P-M > D-P > Ab > Ma > H-S. it could be concluded that the J-H model was the most suitable in the study area, followed by the P-T model, while the H-S model attained the worst simulation performance. The evapotranspiration of summer maize at the tasseling-milky maturity stage in this region was the highest, and the solar radiation, net radiation and photosynthetically active radiation exhibited a strong correlation with evapotranspiration and greatly impacted evapotranspiration. This study plays an important role in the development of efficient water-saving agriculture, irrigation forecasting and sustainable utilization of water resources in the core area of grain production in China.

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Comparison of evapotranspiration upscaling methods from instantaneous to daytime scale for tea and wheat in southeast China

Cited by 13 publications

References 42 publications

Optimization of Subsurface Drip Irrigation Schedule of Alfalfa in Northwest China

Optimization of Subsurface Drip Irrigation Schedule of Alfalfa in Northwest China

Calibration and assessment of evapotranspiration methods for cucumber plants in a Venlo‐type greenhouse

Comparison and applicability analysis of different evapotranspiration models for maize farmland in the lower Yellow River Plain based on the eddy covariance system

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