A Rainfall Interception Model for Alfalfa Canopy under Simulated Sprinkler Irrigation

Jiao, Jian; Su, Derong; Han, Liliang; Wang, Yadong

doi:10.3390/w8120585

Cited by 17 publications

(5 citation statements)

References 42 publications

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“…To improve irrigation efficiency, it is necessary to cut down the loss resulted from canopy interception [9]. After canopy interception, the distribution of sprinkled water is mainly affected by water volume, sprinkling intensity and leaf area index (LAI) [10].…”

Section: Introductionmentioning

confidence: 99%

Influence of Canopy Interception of Soybean and Corn on Water Distribution of Center Pivot Sprinkling Machine

Cao¹,

Fan²,

Chen³

et al. 2020

JESA

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This paper aims to disclose the variation in water distribution and sprinkler uniformity after the canopy interception of soybean and corn. Firstly, the change laws of the water distribution and sprinkler uniformity were tested on an open field with a center pivot sprinkling machine (CPSM) operating at different speeds. Next, the intercepted water volume, the water distribution and sprinkler uniformity of the CPSM were measured at two water-needing growth stages of each crop. The results show that: On the open field, the irrigation depth of the CPSM has an approximately exponential relationship with the operating speed. The mean circumferential sprinkler uniformities were greater than the mean radial sprinkler uniformities at the same operating speeds. When the CPSM operated at 100% speed, the sprinkler uniformity at the flowering stage of soybean was 2.37% higher than that on the open field, and 2.88% higher than that at the branching stage of soybean. When the CPSM operated at 100% speed, the sprinkler uniformities at the jointing and heading stages of corn were both significantly lower than those on the open field. The sprinkler uniformity after canopy interception provides an evaluation criterion for the effect of fertilizer or pesticide application.

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Section: Introductionmentioning

confidence: 99%

Influence of Canopy Interception of Soybean and Corn on Water Distribution of Center Pivot Sprinkling Machine

Cao¹,

Fan²,

Chen³

et al. 2020

JESA

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show abstract

“…The rainfall interception process is described by an exponential function, based on the model established by Jiao et al (). In this research, more specific processes are considered and modelled (e.g., different functions are used to describe the interception process during different growth periods and under different rainfall intensities).…”

Section: Discussionmentioning

confidence: 99%

“…In general, the interception capacity is greatest at the beginning of the rainfall event and then reduces with time. The decreasing interception rate during a rainfall event can be described by an exponential function (Ballard, Hawkins, Howington, & Kala, ; Jiao, Su, Han, & Wang, ). For vegetated sloping land, the interception rate can be expressed as

italicInt = C \cdot {Int}_{m} \exp ((), - italickt),

where Int is the interception rate over the slope (cm/min), C is the vegetation cover (cm 2 /cm 2 ), t is the rainfall time (min), Int m is the maximum interception capacity (cm/min), and k is the empirical coefficient.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

An enhanced rainfall–runoff model with coupled canopy interception

Tao

Wang

Guo

et al. 2020

Hydrological Processes

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The translation of rainfall to runoff is significantly affected by canopy interception.Therefore, a realistic representation of the role played by vegetation cover when modelling the rainfall-runoff system is essential for predicting water, sediment, and nutrient transport on hillslopes. Here, we developed a new mathematical model to describe the dynamics of interception, infiltration, and overland flow on canopy-covered sloping land.Based on the relationship between rainfall intensity and the maximum interception rate, the interception process was modelled under two simplified scenarios (i.e., r e ≤ Int m and r e > Int m ). Parameterization of the model was based on consideration of both vegetation condition and soil properties. By analysing the given examples, we found that Int m reflects the capacity of the canopy to store the precipitation, k reveals the ability of the canopy to retain the intercepted water, and the processes of infiltration and runoff generation are impacted dramatically by Int m and k. To evaluate the model, simulated rainfall experiments were conducted in 2 years (2016 and 2017) across six cultivation plots at Changwu State Key Agro-Ecological Experimental Station of the Chinese Loess Plateau.The parameters were obtained by fitting the unit discharge (simulated rainfall experiments in 2016) using the least squares method, and estimation formulas for parameters pertaining to vegetation/soil factors (measured in 2016) were constructed via multiple nonlinear regressions. By matching the simulated results and unit discharge (simulated rainfall experiments in 2017), the validity of the model was verified, and a reasonable precision (average R 2 = .86 and average root mean square error = 6.45) was obtained.The model developed in this research creatively incorporates the canopy interception process to complement the modelling of rainfall infiltration and runoff generation during vegetation growth and offers an improved hydrological basis to analyse matter transport during rainfall events. K E Y W O R D S overland flow, physical-based model, rainfall interception, vegetation growth

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“…Canopy interception refers to canopy storage of water in rainfall or sprinkler irrigation (Levia, et al, 2019). This phenomenon influences the efficiency of sprinkler irrigation in agriculture (Jiao et al, 2016). Because irrigation water is desired to reach the soil near the roots of the plant, rather than staying on the surface.…”

Section: Introductionmentioning

confidence: 99%

Influence of tea leaf morphology on water interception for droplet impact

Pan,

Jin,

2024

Hydrological Processes

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It is common for plant canopy to intercept water during rainfall or sprinkler irrigation. How tea leaves intercept water droplets are unknown. The objective of this study is to investigate the influence of different shapes of tea leaves on the water droplet retention and distribution. First, the shapes of different tea varieties (Zhongcha 108, Maolu, Longjing 43, Huangjinya, and Anji Baicha) were statistically classified, and a high‐speed camera (with a frame rate of 10 000 fps) was used to record and analyse the interception of single droplet. The results showed that the morphology of tea leaves is flat, V‐shaped and hemispherical. The percentage of flat shaped leaves is the highest in each variety (45.38%–63.20%), the proportion of V‐shaped leaves is 30.40%–42.97%, and the proportion of hemispherical leaves is the least. When the impact velocity is 1.35 ± 0.05 m/s, it takes only 20–26 ms for droplet to start hitting each morphology of leaves and be retained as a static liquid. Droplets were kept as a film of water on the flat leaf, and similar situation happened to the hemispherical leaf, but they slid downward due to gravity. When impact position is near the midrib or leaf surface angle is smaller, retained droplets tends to converge to the bottom of the V‐shape with a symmetrical distribution. This study aids to better understand and model water interception within tea canopies for future practice of irrigation and chemical spraying.

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A Rainfall Interception Model for Alfalfa Canopy under Simulated Sprinkler Irrigation

Cited by 17 publications

References 42 publications

Influence of Canopy Interception of Soybean and Corn on Water Distribution of Center Pivot Sprinkling Machine

Influence of Canopy Interception of Soybean and Corn on Water Distribution of Center Pivot Sprinkling Machine

An enhanced rainfall–runoff model with coupled canopy interception

Influence of tea leaf morphology on water interception for droplet impact

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