Evaluation on the potential of improving border irrigation performance through border dimensions optimization: a case study on the irrigation districts along the lower Yellow River

Chen, Bo; Ouyang, Zhu; Sun, Zhigang; Wu, Lanfang; Li, Fadong

doi:10.1007/s00271-012-0338-0

Cited by 26 publications

(28 citation statements)

References 21 publications

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“…It inverts the infiltration parameters and Manning's roughness of surface irrigation by using a differential evolution method [35]. Because of the short length of the fields in northern China, which are mostly shorter than 200 m [41]-the maximum length of the furrow irrigation in this study was 130 m, as evident in Table 1-and a fairly short opportunity time (maximum opportunity time was 66 min), it was generally difficult to achieve stable infiltration, while estimation of the basic infiltration rate was challenging. Various studies have demonstrated that the Kostiakov equation achieves a high degree of precision in describing the soil infiltration process of surface irrigation [5,[42][43][44][45].…”

Section: Sipar_id and Winsrfr Descriptionsmentioning

confidence: 99%

“…WinSRFR, proposed by the USDA-Agricultural Research Service, is an integrated software package for analyzing surface irrigation systems. It consists of two models: the zero-inertia (ZI) model and the kinematic-wave model [41]. Closed-end furrows were used for maize in the aforementioned experiments; thus, the ZI model was selected to simulate the irrigation performance at each experimental site.…”

Section: Sipar_id and Winsrfr Descriptionsmentioning

confidence: 99%

“…where Y is the comprehensive performance indicator of closed-end furrow irrigation. In numerous studies, the adopted cutoff time in furrow irrigation is the moment of completion of the advance phase [50], and farmers in northern China typically set the cutoff time at the moment that the water reaches the downstream end [41,51]. In furrow irrigation, selecting an appropriate discharge is more robust than the approach of limiting length and cutoff time, particularly when a farmer has poor control over the water [16].…”

Section: Optimization Of Inflow Discharge Based On Manning's Roughnesmentioning

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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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: Sipar_id and Winsrfr Descriptionsmentioning

confidence: 99%

Section: Sipar_id and Winsrfr Descriptionsmentioning

confidence: 99%

Section: Optimization Of Inflow Discharge Based On Manning's Roughnesmentioning

confidence: 99%

See 1 more Smart Citation

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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“…Basin irrigation is defined as the application of water to an area typically levelled to around zero slope and surrounded by dykes or check banks to prevent runoff (Khanna, Malano, 2006). While various strategies introduced for improving the water use efficiency have been continuing but the net impact of these are not very impressive (Jensen, 2007;Ahmad et al, 2010;Chen et al, 2013;Chouhan et al, 2015). However, estimates indicate that with a 10 per cent increase in the existing water use efficiency, India could add 7 to 8 million ha to the irrigated area without utilizing additional water resources (Narayanamoorthy, 2002).…”

Section: Introductionmentioning

confidence: 99%

WATER FRONT ADVANCE UNDER VARIABLE BORDER WIDTH AND INITIAL SOIL MOISTURE CONTENTS UNDER WHEAT (Triticum aestuivium L.) CROP – I: HYDRAULICS AND IRRIGATION EFFICIENCIES

Birpal¹,

Mishra

Sharma³

2019

Journal of Water Security

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Border irrigation experiments were conducted on wheat (Triticum aestivum L.) crop at Water Technology Centre, Indian Agricultural Research Institute (IARI) New Delhi in winter season (October-April) of 2013-2014 to study the border hydraulics (cutoff ratio, border width and stream discharge), irrigation efficiencies, grain and biomass yields for 4 border sizes (2, 3, 4 and 5 m widths) to economize the water use. Optimizing the border width under varying soil moisture contents prior to irrigation was attempted. The border of length 25 m required 30.2 minutes (min) to 78.1 min for irrigation for a fixed cutoff length of 15 m. The water front advance time up to cutoff length was 10 min and 27.3 min for border widths varying from 2 to 5 m; respectively corresponding to the selected stream discharge of 1.5 l/s. The water front advance time was inversely proportional to the initial soil moisture contents. The travel time to cutoff point of 15 m for three soil moisture contents namely 1:14.2, 2:16.5 and 3:17.2%; varied from 10.0-11.7 min for the border size (width) of 2.0 m, 14.0-15.6 min for the border size of 3 m; 20.0-23.4 min for the border size of 4 m whereas, it took 24.5-27.3 min for 5 m border size. The best border size was identified as 4 m without any yield penalty. The effect of the stream discharge was not pronounced based on yields. Due to uniform cutoff ratio there was no significant difference in the amount of water use. Hence, the border size of 4 m was rated the best.

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“…Distributed-parameter modeling presents the stronger mechanism and the higher simulation accuracy than the deterministic numerical modeling. Recently, this method is widely used in hydrology modeling and irrigation system modeling [18][19][20][21]. However, the input parameter values and model output values can be affected by the spatial extent of sub-area and the model parameter values may not faithfully represent the influence of field physical properties of field scale on field hydrologic responses [22].…”

Section: Introductionmentioning

confidence: 99%

Modeling the Effects of Spatial Variability of Irrigation Parameters on Border Irrigation Performance at a Field Scale

Dong

Zhang

Bai

et al. 2018

Water

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The interaction between surface and subsurface water flows plays an important role in surface irrigation systems. This interaction can effectively be simulated by the physical-based models, which have been developed on the basis of the numerical solutions to the Saint-Venant and Richards’ equations. Meanwhile, the spatial variability of field physical properties (such as soil properties, surface micro-topography, and unit discharge) affects the interaction between surface and subsurface water flows and decreases the accuracy of simulating surface irrigation events at large scales. In this study, a new numerical methodology is developed based on the physical-based model of surface irrigation and the Monte Carlo simulation method to improve the modeling accuracy of surface irrigation performance at a field scale. In the proposed numerical methodology, soil properties, unit discharge, surface micro-topography, roughness, border length, and the cutoff time for the unit discharge are used as the stochastic parameters of the physical-based model, while field slope is assumed as the constant value because of the same field tillage and management conditions at a field scale. Monte Carlo simulation is used to obtain the stochastic parameter sample combinations of the physical-based model to represent the spatial variability of field physical properties. The updated stochastic simulation model of surface micro-topography, which is developed to model the spatial distribution of surface elevation differences (SED), is used to obtain the surface micro-topography samples at a field scale. Compared with the distributed-parameter modelling methodology and the field experimental data, the proposed numerical methodology presents the better simulation performance.

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Evaluation on the potential of improving border irrigation performance through border dimensions optimization: a case study on the irrigation districts along the lower Yellow River

Cited by 26 publications

References 21 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

WATER FRONT ADVANCE UNDER VARIABLE BORDER WIDTH AND INITIAL SOIL MOISTURE CONTENTS UNDER WHEAT (Triticum aestuivium L.) CROP – I: HYDRAULICS AND IRRIGATION EFFICIENCIES

Modeling the Effects of Spatial Variability of Irrigation Parameters on Border Irrigation Performance at a Field Scale

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