Modelling Canopy Resistance for Estimating Latent Heat Flux at a Tea Field in South China

Yan, Huimin; Zhang, Chuan; Peng, Guangjie; Darko, Ransford Opoku; Cai, Bin

doi:10.1017/s0014479717000242

Cited by 7 publications

(9 citation statements)

References 23 publications

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“…The experiment was conducted in a tea field located at Jiangsu province, China (31 C, and −5.7 • C, respectively. The soil text in the study area is medium loam and the field capacity is 28% [32].…”

Section: Field Observationmentioning

confidence: 99%

“…Anji White tea, which is one of the cultivars of tea in China, was used for the experiment. The size of the observation field was 55 × 58 m and was surrounded by other tea fields, with the total area larger than 7000 m 2 [32]. The tea plants were transplanted into the field on 5 March 2014, with 120 cm spacing between the rows, and 52 cm spacing within a row.…”

Section: Field Observationmentioning

confidence: 99%

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Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China

et al. 2022

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Determination of evaporation (E) and transpiration (T) in tea fields separately is important in developing precise irrigation scheduling and enhancing water use efficiency. In this study, the Shuttleworth–Wallace (S-W) model was applied to simulate the variations of E and T based on the data from 2015 to 2018 in a tea field in southeast China. The dual crop coefficient (D-K) method recommended by FAO-56 was also applied to calculate E and T, using the same data set to compare with the S-W model. The measured crop coefficient (Kc) ranged from 0.43 to 1.44 with the average value was 0.90 during 1–150 DOY (days of year), and the measured Kc tended to be stable with the average value of 0.83 during 151–365 DOY in 2015. The S-W model estimated ETc with root mean square error (RMSE) and R2 of 0.45 mm d−1 and 0.97, while for the D-K method the values were 0.61 mm d−1 and 0.95. Therefore, both approaches could estimate the E and T separately in tea fields in southeast China, however, the D-K method had a slightly poorer accuracy compared to the S-W model in the estimation of ETc.

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Section: Field Observationmentioning

confidence: 99%

Section: Field Observationmentioning

confidence: 99%

Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China

et al. 2022

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“…Cucumber is one of the most widely cultivated vegetables in the world. China has become a prominent producer and consumer of cucumber worldwide, as it is being grown on 60% of the world's cucumber cultivated area in China (Huang et al, 2020;Yan, Zhang, Gerrits, et al, 2018;Yan, Zhang, & Peng, 2018;Yan et al, 2019Yan et al, , 2021. Precision agriculture, consisting of irrigation scheduling (Yang et al, 2011), modern equipment for water application and highly efficient irrigation techniques (Tueche et al, 2013;Yang & Ren, 2001), plays a significant role in enhancing the production of cucumber.…”

Section: Introductionmentioning

confidence: 99%

Effects of film mulching on the physiological and morphological parameters and yield of cucumber under insufficient drip irrigation

Yan

Zhang

et al. 2022

Irrigation and Drainage

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A comprehensive study was conducted to analyse the influence of film mulching on the soil water content (SWC), plant physiological and morphological parameters, yield and irrigation water use efficiency (IWUE) of cucumber grown in a greenhouse. The experiment was designed to set the film mulching (M1) and non‐film mulching (M0) applications under two irrigation levels (T1: sufficient irrigation; T2: insufficient irrigation). Thus, four treatments, i.e. T1M1, T1M0, T2M1 and T2M0 were set. The response of plant growth, physiology characteristics, yield and SWC under the designed treatments was analysed based on the data from two planting years (2019 and 2020). Applying film mulching effectively improved the SWC by approximately 10%. The cucumber plant height, stem diameter and leaf area index (LAI) under the T2M1 treatment increased by 38.0–63.1, 16.5–24.9 and 84.0–89.4%, respectively, compared to the T2M0 treatment. The maximum yield was found in the T1M1 treatment, which increased by 24.2–27.5% compared to T1M0. Film mulching increased cucumber yield by 18.0–24.7% compared to non‐film mulching. It was also observed that film mulching under insufficient drip irrigation had a positive influence on plant morphological parameters (photosynthetic rate and stomatal conductance). Among the four treatments, the maximum photosynthetic rate (= 20.69 μmol m−2 s−1) and stomatal conductance (= 0.47 μmol m−2 s−1) were found in the T2M1 treatment. The sap flow rate under the T2M1 treatment was close to that under the T1M0 treatment, while the largest variation in the sap flow rate occurred under the T1M1 treatment, and the smallest variation occurred under the T2M0 treatment. It can be concluded that the effect of the film mulching technique on cucumber yield and IWUE was significant under insufficient drip irrigation.

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“…Parameterization of r c and r a is necessary to accurately estimate T r [16] using SM or PM models. The r c is a key variable which is influenced by climatological and agronomical variables [17,18]. Yang [19], Qiu et al [20], and Gong et al [21] demonstrated that stomatal resistance (r s ) has a good relationship with solar radiation (R s ) for cucumber, hot pepper, and tomato in greenhouses.…”

Section: Introductionmentioning

confidence: 99%

Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration

Yan

Huang

Zhang

et al. 2020

Water

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Accurate estimation of transpiration (Tr) is important in the development of precise irrigation scheduling and to enhance water-use efficiency in agricultural production. In this study, the air temperature (Ta) and relative humidity (RH) were measured at three different heights (0.5, 1.0, and 1.8 m above the ground near the plant canopy) parameterize aerodynamic resistance (ra) based on the heat transfer coefficient method and to estimate Tr using the Stanghellini model (SM) during two growing seasons of cucumber in a greenhouse. The canopy resistance (rc) was parameterized by an exponential relationship of stomata resistance and solar radiation, and the estimated Tr was compared to the values measured with lysimeters. After parameterization of ra and rc, the efficiency (EF) and the Root Mean Square Error (RMSE) of the estimated Tr by the SM based on micrometeorological data at a height of 0.5 m were 95% and 18 W m−2, respectively, while the corresponding values were 86% and 29 W m−2 at a height of 1.8 m for the autumn planting season. For the spring planting season, the EF and RMSE were 92% and 34 W m−2 at a height of 0.5 m, while the corresponding values were 81% and 56 W m−2 at a height of 1.8 m, respectively. This work demonstrated that when micrometeorological data within the canopy was applied alongside the data measured above the canopy, the SM led to better agreement with the lysimeter measurements.

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Modelling Canopy Resistance for Estimating Latent Heat Flux at a Tea Field in South China

Cited by 7 publications

References 23 publications

Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China

Comparison of Shuttleworth–Wallace and Dual Crop Coefficient Method for Estimating Evapotranspiration of a Tea Field in Southeast China

Effects of film mulching on the physiological and morphological parameters and yield of cucumber under insufficient drip irrigation

Parameterization and Application of Stanghellini Model for Estimating Greenhouse Cucumber Transpiration

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