Impact of infiltration parameters and Manning roughness on the advance trajectory and irrigation performance for closed-end furrows

Nie, Wei‐Bo; Fei, Liangjun

doi:10.5424/sjar/2014124-5462

Cited by 18 publications

(12 citation statements)

References 27 publications

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“…The simulated values of the advance time and performance indicators had a slight influence when the various Manning's roughness values (0.041, 0.075, and 0.175) were adopted (Figure 4), indicating that the advance trajectory and performance indicators of closed-end furrow irrigation were not sensitive to variations of Manning's roughness. This result was similar to the results of Smith et al [2], Salahou et al [5], and Nie et al [19]. These findings indicate that the Manning roughness of maize field can be used as a representative value (i.e., 0.075, 50% of the cumulative frequency of all experimental sites) to simulate the advance trajectory and irrigation performance of a closed-end furrow.…”

Section: Discussionsupporting

confidence: 89%

“…Zhang et al [11], Bautista et al [12], and Anwar et al [13] have reported Manning's roughness values of 0.02-0.40, 0.04-0.10, and 0.04-0.16, respectively. Other published studies have often used a representative value of Manning's roughness to simulate furrow irrigation [14][15][16][17][18][19]. The question of whether the simulated values correspond well to practical field performance, i.e., the effects of the dependence of Manning roughness on the advance trajectory and irrigation performance of closed-end furrows are rarely analyzed comprehensively, especially at regional scales.…”

Section: Introductionmentioning

confidence: 99%

“…On the basis of the volume balance principle, Rodríguez and Martos [35] developed a software tool called SIPAR_ID to estimate infiltration parameters and Manning's roughness by using advanced trajectories and water depths. SIPAR_ID attempts to avoid most typical violations of the mass conservation principle by employing a hybrid model; it can simulate both advance trajectories and water depths accurately relative to the zero-inertia model [19,[35][36][37]. The infiltration parameters obtained through the aforementioned inverse procedure can represent the field soil infiltration capacity during surface irrigation, and they can reduce the difficulty of determining the field mean infiltration parameters at the field scale.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

Nie

Zhang

et al. 2018

Water

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Infiltration parameters and Manning's roughness are essential input parameters for surface irrigation simulation models. Multiple points of infiltration experiments require time-consuming, costly data collection and problematic calculations of field mean infiltration parameters. This study estimated the field mean infiltration parameters and Manning's roughness values on a regional scale, on the basis of closed-end furrow irrigation experiments conducted at 45 experimental sites on the Guanzhong plain, and evaluated the influence of Manning's roughness on advance trajectory and performance indicators of closed-end furrow irrigation. Then, we present a functional normalization of the Kostiakov equation and pedotransfer function (PTF) to estimate the normalization factors. The proposed method can be used to estimate the field mean infiltration parameters using PTF and the represented Manning's roughness to determine the optimal discharge of closed-end furrow irrigation. The results revealed that the advance trajectory and performance of closed-end furrow irrigation was not sensitive to variations of Manning's roughness, which can be adopted as a representative value (i.e., 0.075) of the maize field. The normalization method was proven to be feasible for the Kostiakov equation, and the PTF reliably estimated the normalization factors. Last, the optimized values of the inflow discharge were determined using the proposed method, with various combinations of furrow lengths and bottom slopes in the study area, and also compared with the inflow discharge determined based on infiltration parameters and Manning's roughness, which were inversed by SIPAR_ID. The results indicated that the inflow discharge values obtained through using the two methods were approximately equal, proving that the proposed method was reliable and easy to use in practice.

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Section: Discussionsupporting

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

Nie

Zhang

et al. 2018

Water

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“…Considering the actual situation, it is reasonable to assume that the maximum Zf is 100 cm under surface irrigation. Moreover, the water depth, h0, usually ranges from 5 to 10 cm under surface irrigation [32,33], and the value of the suction head, ψm, is a nonnegative number in the GA model (Equation (1)). Thus, on the basis of all the aforementioned analyses, the maximum value of L * is less than 20, according to Equation (6).…”

Section: ( )mentioning

confidence: 99%

Approximate Explicit Solution to the Green-Ampt Infiltration Model for Estimating Wetting Front Depth

Nie

Fei

2017

Water

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Obtaining reliable information on the wetting front depth of soil is beneficial to the understanding of one-dimensional (1D) vertical infiltration under border irrigation. This paper presents an approximate explicit solution to the Green-Ampt (GA) infiltration model for estimating the wetting front depth. Moreover, the model proposed in this study, the GA model, the Ali model, and the Stone model were validated and evaluated using laboratory experimental data and HYDRUS-1D simulation. Statistical comparisons (root mean square error-RMSE, mean absolute percent relative error-MAPRE, and percent bias-PB) of the estimated data with the measured and simulated data were conducted. The models were ranked on the basis of their overall performance index (OPI). The results demonstrated that all four models can be used to estimate the wetting front depth of 1D vertical infiltration for a wide range of soil textures; the proposed model provided the most accurate result. According to comparisons of the estimated values with the measured and simulated values, the maximum RMSE, MAPRE, and PB were 1.74 cm, 6.92%, and −6.74%, respectively, for the proposed model. On the basis of the OPI, the optimal model was the proposed model, followed by the Ali, GA, and Stone models.

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“…Various studies have reported that the infiltration equation is affected by initial soil water content and irrigation water quality (Amézketa et al, ; Nie et al, ; de Almeida et al, ). In many cases, the infiltration equation is assumed constant during the irrigation season, while the soil water content is changing throughout the season (Hunsaker et al, ; Emdad et al, ).…”

Section: Introductionmentioning

confidence: 99%

Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management

Javadi

Mostafazadeh‐Fard

Shayannejad

et al. 2019

Irrigation and Drainage

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The main objective of this study was to investigate the sensitivity of the output parameters of SIRMOD software relative to initial soil water content. The treatments consisted of three irrigation water qualities, two types of soil water content management (FC and 30% FC; FC is field capacity) and three irrigation events. The HYDRUS‐1D software was calibrated to simulate infiltration under different initial soil water contents. Subsequently, the infiltration coefficients obtained from the HYDRUS model were used to simulate the border irrigation system under the different border lengths and inflow rates using the SIRMOD software. The results showed that soil was more permeable under FC management than under 30% FC. The sensitivity of the output parameters of the SIRMOD software under FC was more sensitive compared to 30% FC. The high‐ and low‐sensitive treatments were in the FC and 30% FC management with high saline‐sodic water, respectively. Due to the high permeability under FC, in order to increase the irrigation application efficiency and reduce its sensitivity, the inflow rate should be greater while border length has to be less, compared to 30% FC. Sensitivity analysis of the output parameters showed that the advance time and tailwater fraction were identified as the most and least sensitive parameters, respectively. © 2019 John Wiley & Sons, Ltd.

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Impact of infiltration parameters and Manning roughness on the advance trajectory and irrigation performance for closed-end furrows

Abstract: Abbreviations used: AAE (average absolute error); ARE (average relative error); DE (differential evolution); Du (distribution uniformity); Ea (application efficiency); Es (storage efficiency); KW (kinematic-wave); RE (relative error); ZI (zero-inertia).

Cited by 18 publications

References 27 publications

A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

A Method for Determining the Discharge of Closed-End Furrow Irrigation Based on the Representative Value of Manning’s Roughness and Field Mean Infiltration Parameters Estimated Using the PTF at Regional Scale

Approximate Explicit Solution to the Green-Ampt Infiltration Model for Estimating Wetting Front Depth

Effect of Initial Soil Water Content on Output Parameters of Sirmod Software Under Types of Different Irrigation Management

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