Programming Irrigation for Greater Efficiency

Jensen, Marvin E.

doi:10.1016/b978-0-12-348540-3.50016-3

Cited by 8 publications

(3 citation statements)

References 26 publications

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“…The objective of periodically monitoring soil water for irrigation scheduling purposes is not to determine the absolute soil water content in a field, but to determine the depletion from effective field capacity (Jensen, 1972). This is much easier than sampling adequately to determine the average absolute water content.…”

Section: Ditt Irrigation Confidence Levelsmentioning

confidence: 99%

“…If soil water depletion is to be monitored, the error due to drainage can be minimized if the monitoring is delayed 3 to 4 days after an irrigation. Drainage from the soil also varies with ET rates (Jensen, 1972, andMiller andAarstad, 1974). The standard deviation of estimated upward flow into the root zone is relatively unknown.…”

Section: Ditt Irrigation Confidence Levelsmentioning

confidence: 99%

See 1 more Smart Citation

The Role of Evapotranspiration Models in Irrigation Scheduling

Jensen¹,

Wright²

1978

Transactions of the ASAE

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Section: Ditt Irrigation Confidence Levelsmentioning

confidence: 99%

Section: Ditt Irrigation Confidence Levelsmentioning

confidence: 99%

The Role of Evapotranspiration Models in Irrigation Scheduling

Jensen¹,

Wright²

1978

Transactions of the ASAE

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“…Each IWPA has a different set of indicators. These indicators were introduced in the 1970s to characterize the hydrological behavior of the irrigation schedules using a few understandable numbers [20][21][22][23][24][25][26]. Several studies have defined the sets of indicators that describe the irrigation water performance [14,[27][28][29].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Irrigation Water Performance in the Nile Delta Using Remotely Sensed Data

Elnmer

Khadr

Allam

et al. 2018

Water

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A comprehensive framework for irrigation water performance assessment (IWPA) based on satellite data was proposed. This framework consists of external IWPA (EIWPA) and internal IWPA (IIWPA). The EIWPA indicates the water supply as well as agricultural and economic performances. On the other hand, the IIWPA expresses the temporal and spatial performances of irrigation water use adequacy (PA), equity (PE), and dependability (PD) indicators. This framework was applied to the irrigation scheme of the Al-Qased canal in the Nile Delta, Egypt, during the winter between 2015 and 2016. The crop water requirements (ETc) were calculated using the Surface Energy Balance Algorithm for Land (SEBAL) model and Landsat 8 images. Three classes, from “good” to “poor,” to classify the EIWPA and IIWPA values were proposed. The EIWPA was classified as “poor” in irrigation efficiency (51.2%) due to the oversupply of irrigation water in relation to the ETc while the economic indicators showed that the net profit was 7.84% of the gross value of crop production. The PE, PD, and PA were classified as “fair,” which indicated a non-uniform irrigation water distribution between the head and tail branch canals. Moreover, the irrigation water was inadequate during the growing months and could not meet the ETc. The framework presented an efficient tool for the IWPA in terms of spatial, temporal, agricultural, and economic performances.

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Crop coefficients for irrigating cotton in the presence of groundwater

Ayars

Hutmacher

1994

Irrig Sci

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A cotton crop coefficient was modified to account for the contribution of shallow groundwater to crop water use. The data used in the modification were developed using weighing column lysimeters. The percentage groundwater contribution to crop water use, expressed as a function of growing degree days for several salinities and two water table depths, was used in the regression analysis. Use of the modified coefficient was demonstrated by scheduling a subsurface drip irrigation system installed in an area with shallow saline groundwater. Use of the modified crop coefficient resulted in 25% of the cotton water requirement being extracted from shallow groundwater with a salinity of 5 dS m -~ without any adverse effects on vegetative plant growth and yield. Groundwater depth dropped from 1.2 to 2.2 m during the growing season.

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Programming Irrigation for Greater Efficiency

Cited by 8 publications

References 26 publications

The Role of Evapotranspiration Models in Irrigation Scheduling

The Role of Evapotranspiration Models in Irrigation Scheduling

Assessment of Irrigation Water Performance in the Nile Delta Using Remotely Sensed Data

Crop coefficients for irrigating cotton in the presence of groundwater

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