Infiltration parameters for furrow irrigation

Holzapfel, Eduardo; Jara, Jorge; Zúñiga, Carlos Espinoza; Mariňo, Miguel A.; Paredes, Jerónimo; Billib, Max

doi:10.1016/j.agwat.2004.03.002

Cited by 42 publications

(22 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Their results showed that availability of accurate values of surface irrigation parameters such as Manning's roughness coefficient and infiltration coefficients for the empirical Equations was often a problem in the application of these models. Holzapfel et al (2004) studied Infiltration parameters for furrow irrigation. They showed that using the kinematic wave model and the Kostiakov constants obtained with the advance model; simulate better the advance phase of the waterfront in the furrow.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave

Valipour¹

2012

JAS

View full text Add to dashboard Cite

Some phenomena such as surface irrigation are so complex that it is very difficult to implement them in nature. For this purpose, simulation models are used. In this study, ability of full hydrodynamic, zero inertia, and kinematic wave models has been investigated in surface irrigation simulation. Using SIRMOD software, their performance has been compared. The results showed that full hydrodynamic and zero inertia models were very powerful in simulation process. For increasing of filed slope until amount of 0.01 full hydrodynamic and zero inertia models had not any difference but for more increasing of S 0 due to the increasing of velocity, accuracy of zero inertia model dropped. In full hydrodynamic and zero inertia models for increase in Manning's roughness coefficient amount of error was increased until n=0.15. After this amount, error remained constant thus n=0.15 determined as critical discharge. Accuracy of kinematic wave model reduced in clay and heavy clay soils, high discharges, high Manning's roughness coefficient, and basin irrigation. However, in many situations all three models had the same answers and were capable tools to simulating of surface irrigation processes.

show abstract

Section: Introductionmentioning

confidence: 99%

Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave

Valipour¹

2012

JAS

View full text Add to dashboard Cite

show abstract

“…Thus, it has deduced that the Mezencev model is identical to the Kostiakov model plus the At term (e.g. Sepaskhah and Afshar-Chamanabad 2002;Holzapfel et al 2004). Nevertheless, the results obtained in this study clearly indicate that not only the parameters of these two models are different, but their curve fitting abilities are also considerably dissimilar (Table 2).…”

Section: Resultsmentioning

confidence: 97%

Site-Dependence Performance of Infiltration Models

Ghorbani-Dashtaki

Homaee

Mahdian

et al. 2009

Water Resour Manage

View full text Add to dashboard Cite

Quantitative description of infiltration process is crucial for modeling soil water status as well as many other applications related to surface-subsurface hydrology. The importance of infiltration process has lead to develop several theoretical and empirical infiltration models. However, the applicability of these models is strongly subjected to soil spatial variability. In this study, the performance of Kostiakov, Mezencev, Horton and Philip infiltration models under different study sites were evaluated. For this purpose, the infiltration data of 123 sites with different soil series were obtained. The parameters of these models were then obtained, using sum of least squares error method. To quantify prediction accuracy of the models, the mean error (ME), root mean square error (RMSE), mean absolute of mean error (MAME) and Pearson correlation coefficient (r) were calculated. The results indicated that the performance of Kostiakov, Horton and Philip models were highly related to the location in which the data were collected. While the performance of Mezencev model was not site-dependent, the performances of all other models were varied with different soil textures. It was then concluded that Mezencev model can provide the best site-independent performance compares to Kostiakov and Philip models.

show abstract

“…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]. Therefore, the Kostiakov equation was adopted to characterize the infiltration process of furrow irrigation; which can be written as:…”

Section: Sipar_id and Winsrfr Descriptionsmentioning

confidence: 99%

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

View full text Add to dashboard Cite

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.

show abstract

Infiltration parameters for furrow irrigation

Cited by 42 publications

References 12 publications

Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave

Comparison of Surface Irrigation Simulation Models: Full Hydrodynamic, Zero Inertia, Kinematic Wave

Site-Dependence Performance of Infiltration Models

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

Contact Info

Product

Resources

About