Soil moisture distribution patterns under surface and subsurface drip irrigation systems in sandy soil using neutron scattering technique

Badr, Abdallah E.; Abuarab, Mohamed E.

doi:10.1007/s00271-011-0306-0

Cited by 53 publications

(31 citation statements)

References 14 publications

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“…Although many scientists have studied soil water dynamics in drip-irrigated fields (e.g., Hussein et al 2011;Ityel et al 2011;Badr and Abuarab 2013), it is still difficult to design strategies optimizing irrigation amounts, irrigation frequencies, and emitter depths to obtain the highest WUE (Kandelous et al 2012). The use of computer simulations with validated mathematical models to optimize management practices is a fast and inexpensive approach that has received a lot of attention during the last few decades.…”

Section: Introductionmentioning

confidence: 99%

Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Shi

Šimůnek

et al. 2015

Irrig Sci

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square errors of 0.043, 0.035, and 0.040 cm 3 cm −3 , respectively. The results showed that the SWC in the shallow root zone (0-40 cm) was lower under non-mulched locations than under mulched locations, irrespective of the irrigation treatment, while no significant differences in the SWC were observed in the deeper root zone (40-100 cm). The SWC in the shallow root zone was significantly higher for the high irrigation treatment (T1) than for the low irrigation treatment, while, again, no differences were observed in the deeper root zone. Simulations of two-dimensional SWC distributions revealed that the low irrigation treatment (T3) produced serious severe water stress (with SWCs near the wilting point) in the 30-40 cm part of the root zone, and that using separate drip emitter lines for each crop is well suited for producing the optimal soil water distribution pattern in the root zone of the intercropping field. The results of this study can be very useful in designing an optimal irrigation plan for intercropped fields.

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Section: Introductionmentioning

confidence: 99%

Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Shi

Šimůnek

et al. 2015

Irrig Sci

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“…A greater amount of irrigation water induced a significantly lower accumulation of soil salts (Guan et al 2013). Distribution of water in the soil profile under drip irrigation was affected by the distance from the drippers (Badr and Abuarab 2013). The distribution and transportation of water and salt in the soil profile were also significantly influenced by drip tape arrangement (Liu et al 2012).…”

Section: Introductionmentioning

confidence: 92%

Effects of drip irrigation on migration and distribution of heavy metals in soil profile

Wei

Dong

et al. 2015

Environ Sci Pollut Res

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Drip irrigation systems have been widely applied in semiarid and arid regions of China. However, little is known about the migration of heavy metals in cultivated soil under drip irrigation. Therefore, the concentrations of Cd, Cr, Cu, Ni, Pb, and Zn in soil were determined. The mean contents of Cd, Cr, Cu, Pb, Zn, and Ni in surface soil subjected to irrigation with low and high amounts of water (W1 and W2) were 0.11, 117.50, 37.51, 13.53, 78.10, and 38.41 mg/kg and 0.20, 94.45, 29.71, 22.48, 63.00, and 36.62 mg/kg, respectively. Metal concentrations in deep soil varied slightly between W1 and W2. Among different distances from the dropper, the metal levels in surface soil varied widely, while they varied slightly in deep soil. The I geo (geo-accumulation index) values indicated that the soil was usually contaminated by Cr, Cu, and Cd. Under W1, Cd and Cu usually accumulated in surface soil near the dropper, while the other metals leached into subsurface soil. Moreover, the metals generally accumulated in soil away from the dropper. However, significant leaching of metals to the subsurface and deep soil was observed near the dropper under W2. Away from the dropper, Cd, Cr, Cu, Ni, and Pb usually accumulated in surface and deep soil. This suggested that heavy metals generally migrated to the soil away from the dropper when subjected to lower amounts of irrigation, while metals usually moved to surface soil and deep soil under high irrigation amounts. These findings indicate that drip irrigation greatly affected the distribution and migration of heavy metals in soil, with irrigation with lower amounts of irrigation water significantly affecting the horizontal migration of heavy metals and higher amounts influencing the vertical movement of heavy metals.

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“…Soil moisture content (SMC) includes two main components: surface soil moisture (SSM) (moisture held in the upper 10 cm of soil) and root zone SM (held in the upper 200 cm of soil) (Gill et al, 2007). SMC can be estimated using different techniques, such as in situ measurements, physically based models, and remote sensing (Gill et al, 2007;Abdallah and Abuarab, 2013). Although in situ measurements are precise and reliable, they are time-and energy-intensive and are not available over large spatial scales.…”

Section: Introductionmentioning

confidence: 99%

Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery

et al. 2017

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Soil moisture is an important parameter in irrigation scheduling and application. Knowledge of root zone volumetric water content can support decisions for more efficient irrigation management by enabling estimation of required water application rates at appropriate temporal and spatial scales. The study presented here proposes a data mining approach that combines known field conditions with remote sensing observations to provide probabilistic estimates of root zone soil moisture at three different depths in the root zone soil profile. Bayesian data mining algorithms were tested and calibrated to combine the remotely sensed spatial information with field measurements. The remote sensing platform used in this study, called AggieAir™, is an unmanned autonomous aerial system developed by the Utah Water Research Laboratory at Utah State University. Finally, a trapezoidal integration method was used to estimate volumetric water content (VWC) in the root zone using the results of the modelling approach at three different depths in the root zone soil profile. The results show the model could estimate the root zone VWC with good accuracy (RMSE =0.05, MAE = 0.04, r = 0.97, e = 0.92, R2 = 0.94). Copyright © 2017 John Wiley & Sons, Ltd.

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Soil moisture distribution patterns under surface and subsurface drip irrigation systems in sandy soil using neutron scattering technique

Cited by 53 publications

References 14 publications

Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Modeling soil water dynamics in a drip-irrigated intercropping field under plastic mulch

Effects of drip irrigation on migration and distribution of heavy metals in soil profile

Spatial Root Zone Soil Water Content Estimation in Agricultural Lands Using Bayesian-Based Artificial Neural Networks and High- Resolution Visual, NIR, and Thermal Imagery

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