Effects of water infiltration and storage in cultivated soil on surface irrigation

Amer, Abdelmonem Mohamed

doi:10.1016/j.agwat.2010.12.006

Cited by 21 publications

(20 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Over time, the infiltration rate slowed and reached the final (basic) infiltration rate (I b ). At this stage, the I b value was not influenced by the initial water content, whereas I b had a unique value after 4.7 h from the beginning of infiltration in both field sites (Amer and Amer 2010;Amer 2011). This observation is important regarding the applicability of I b in predicting water sorptivity at the steady-state infiltration (S w ), as well as to estimate the hydraulic conductivity in the studied soils.…”

Section: Resultsmentioning

confidence: 87%

“…The radii and volumes of the capillary pores can be obtained from the soil water retention curve, c(y). The soil pores were classified into rapidly drainable non-capillary pores (RDP; 0-10 kPa) and matrix capillary pores, which were subdivided into slowly drainable pores (SDP; 10-33 kPa), water-holding pores (WHP; 33-1500 kPa) and fine capillary pores (FCP; 41500 kPa) by Amer (2011). Because defined ranges of non-capillary (macro) pore size are vary widely from 530 mm (h 4 10 kPa) to 43000 mm (h 5 0.1 kPa) (Beven and Germann 1982), the pressure head h ¼ 10 kPa was specified as a limit between non-capillary RDP and soil matrix capillary pores (Marshall 1956;Amer et al 2009).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Prediction of hydraulic conductivity and sorptivity in soils at steady-state infiltration

Amer

2012

Archives of Agronomy and Soil Science

Self Cite

View full text Add to dashboard Cite

The purpose of this study was (1) to find a matching factor (u) between infiltration rate and hydraulic conductivity during steady-state infiltration, and (2) to propose equations based on infiltration and soil moisture-retention functions for prediction of the hydraulic conductivity K(y) within the rapidly (non-capillary) drainable pores (RDP) and capillary-matrix pores of soils. The K(y) of capillary pores was divided into K(y) SDP , K(y) WHP and K(y) FCP within slowly drainable pores (SDP), water-holding pores (WHP) and fine capillary pores (FCP), respectively. Five soil profiles of calcareous sandy loam, alluvial saline and non-saline clay, located at the Nile Delta, were used to apply the proposed equations. The highest and the lowest values of K(y) RDP were observed in calcareous and saline clay soil profiles, respectively. Values of K(y) RDP remained higher than those for capillary pores in the studied soils. The predicted values of K(y) in capillary and non-capillary pores classes were in the expected range for unsaturated hydraulic conductivity. Water sorptivity (S) was determined at initial unsaturated soil water conditions and calculated at steady-state infiltration (S w ) using a derived equation. There was a decrease in S with an increase in soil water content; i.e. at steady-state infiltration, S decreased by 35-40% in calcareous soils and by 45-60% in alluvial clay soils. The parameter values of u and S w tended to be uniform in calcareous soils, but nonuniform in saline and non-saline clay soils.

show abstract

Section: Resultsmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

Prediction of hydraulic conductivity and sorptivity in soils at steady-state infiltration

Amer

2012

Archives of Agronomy and Soil Science

Self Cite

View full text Add to dashboard Cite

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

“…Several authors have discussed some irrigation practices to improve irrigation performance. For example, Amer and Amer [11] and Amer [12] discussed some works which conclude that application efficiency can be higher than 86% if furrow irrigation is practiced well under the short irrigation interval using furrow irrigation with little amount of water. Koech, et al [13] developed Real-time prediction of time to cut off (T co ) for furrow irrigation to modify and adopt the time to cut-off in order to expected the changes in soil moisture deficit, soil properties and inflow rate whilst the irrigation is still underway.…”

Section: Introductionmentioning

confidence: 99%

Irrigation Management Using Different Irrigation Scheduling Techniques in Blocked-end Furrows

Salahou¹,

Jiao²,

Liu³

2016

Proceedings of the 2016 5th International Conference on Energy and Environmental Protection (ICEEP 2016)

View full text Add to dashboard Cite

Surface irrigation under different irrigation techniques is evaluated in this research, based on water applying method, water infiltration depth, and irrigation water use efficiency. For that purpose, field experiments were conducted using cotton grown in silt loam soil at Wuqiao Eco-Agricultural Experimental Station in 2015 season. To evaluate the infiltration and distribution under conventional continuous inflow in comparison to increased discharge and decreased discharge irrigation in blockedend furrows, nine irrigation treatments were applied. They are known as continuous flow irrigation (CFI), decreased discharge irrigation (DDI) and increased discharge irrigation (IDI). In DDI and IDI irrigation treatments, the inflow should be varied before the completion of the advance phase and cut off time in all treatments when the advance wave reaches the end of the field. The infiltration depth in cm was functioned to opportunity time () in minute for the double ring infiltrometer as: 381. 0 51. 0   Z .The average application efficiency of DDI irrigation is higher than that of CFI and IDI irrigation treatments. Decreased discharge in DDI irrigation treatment when the position of the advancing wave front reaches 0.75 of the furrow's length can potentially save water and irrigation time compared with other irrigation treatments.

show abstract

Effects of water infiltration and storage in cultivated soil on surface irrigation

Cited by 21 publications

References 12 publications

Prediction of hydraulic conductivity and sorptivity in soils at steady-state infiltration

Prediction of hydraulic conductivity and sorptivity in soils at steady-state infiltration

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

Irrigation Management Using Different Irrigation Scheduling Techniques in Blocked-end Furrows

Contact Info

Product

Resources

About