RETRACTED: Determining the accuracy of different water infiltration models in lands under wheat and bean cultivation

Ahmad, Khursheed; Abyaneh, Hamid Zare; Jovzi, Mehdi; Albaji, Mohammad

doi:10.1016/j.jhydrol.2021.127122

Cited by 12 publications

(4 citation statements)

References 42 publications

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“…The Kostiakov model, and ANN approach in Weka appeared to be good tools for predicting the infiltration rate of a soil, and time and soil moisture content were the most critical parameters in measurement of the infiltration rate of a soil [83]. In addition, the fitting accuracy of the data mining model is affected by agricultural practices or soil structure, organic matter content, porosity, and other factors [84]. Therefore, this research on the infiltration processes in a clay soil, performed by in situ field observation experiments and fitting a model of infiltration parameters, provides an essential theoretical basis for irrigation management purposes under regular crop production conditions.…”

Section: Number Of Tractor Wheel Passes On the Plowed Soil Surface (-)mentioning

confidence: 99%

Experimental and Modeling Evaluation of Impacts of Different Tillage Practices on Fitting Parameters of Kostiakov’s Cumulative Infiltration Empirical Equation

Abdel-Sattar

Al-Obeed

Al-Hamed

et al. 2023

Water

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The evaluation and modeling of the water infiltration rate into the soil are important to all aspects of water resources management and the design of irrigation systems for agricultural purposes. However, research focused on experimental studies of infiltration rates in clay soils under different tillage practices remains minimal. Therefore, an empirical prediction model for cumulative water infiltration needs to be created to estimate water depth under different tillage practices. Thus, the present research investigated the impacts of different tillage practices, including plow type (three tillage systems: moldboard, disk, and rotary plows), tillage depth (100 and 200 mm) and four soil compactions levels (0, 1, 3, and 5 tractor wheel passes), on cumulative infiltration behavior in a clay soil under a randomized complete design with three replications. Double-ring infiltration experiments were conducted to collect infiltration data. The research was conducted in three different stages. The first stage was performed through a field test to obtain infiltration data, the second stage involved using a Kostiakov empirical equation (Z = q × tb) for cumulative infiltration to acquire the fitting parameters of “q” and “b”, and in the last stage, we predicted the fitting parameters of “q” and “b” based on soil mean weight diameter, tillage depth, and four soil compaction levels by applying regression data mining approaches in Weka 3.8 software. The results show that the effects of relevant factors on the cumulative water infiltration depth of the soil could be statistically significant (p < 0.05). The Kostiakov model, with an average coefficient of determination of 0.939, had a good fitting effect on the cumulative water infiltration depth process of the investigated soil. The average, lowest, and maximum values of the “q” parameter were 2.7073, 2.2724, and 3.1277 mm/minb, respectively, while for the “b” parameter, they were 0.5523, 0.5424, and 0.5647, respectively. Furthermore, the evaluation of several regression data mining approaches determined that the KStar (K*) data mining approach, with a root mean square error of 0.0228 mm/minb, a mean absolute error of 0.0179 mm/minb, and a correlation coefficient of 0.997, was the most accurate method for fitting parameter “q” using the testing dataset. The most accurate method for fitting the parameter “b” estimation was determined to be the Multilayer Perceptron method, with a root mean square error of 0.0026, a mean absolute error of 0.0013, and a correlation coefficient of 0.962, using the testing dataset. Therefore, this research, which consisted of in situ field observation experiments and infiltration modeling of the infiltration process in a clay soil, provides an essential theoretical basis for improving models of the rate of cumulative infiltration. Moreover, the proposed methodology could be employed for simulation of the fitting parameters “q” and “b” for soil water cumulative infiltration processes, not only for irrigation management purposes under regular crop production conditions, but also for the selection of the most suitable tillage practices to modify the soil during the agriculture season to conserve water and prevent yield declines. The results support the understanding of the infiltration processes in a clay soil and demonstrate that tillage practices could reduce the water infiltration rate into the soil.

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Section: Number Of Tractor Wheel Passes On the Plowed Soil Surface (-)mentioning

confidence: 99%

Experimental and Modeling Evaluation of Impacts of Different Tillage Practices on Fitting Parameters of Kostiakov’s Cumulative Infiltration Empirical Equation

Abdel-Sattar

Al-Obeed

Al-Hamed

et al. 2023

Water

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“…When the data illustration of drip infiltration considering the moisture space distribution is provided, a complete set of performance comparison could be realized between the observed and simulated soil water contents. For instance, considering typical soil specimen and its correspondingly drip irrigation quality, the control unit of precision irrigation system could be designed and optimized, therefore the optimally heterogeneous irrigation architecture and water amount are demonstrated [67][68][69][70][71][72] . Furthermore, the tested sprinkler irrigation system and spatial layout of pipeline network should be improved, for the convenience of investigating its application efficiency.…”

Section: Verification and Assessment Of Drip Irrigation Application E...mentioning

confidence: 99%

Collaborative operation and application influence of sprinkler drip irrigation: A systematic progress review

Liang,

Zou,

Liu

et al. 2023

International Journal of Agricultural and Biological Engineering

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Considering the high-quality requirements related to agricultural crop production, the collaborative operation and application influence of sprinkler drip irrigation is an important issue in precision agriculture. The objective of this review is to give a comprehensive demonstration focusing on the subject of collaborative operation and application influence of sprinkler drip irrigation, by using a set of comparative analysis and literature bibliometric maps, therefore the sprinkler drip irrigation quality considering actual influential factors could be determined and analyzed. This review establishes on a broad spectrum of agricultural drip irrigation performance, throughout its whole procedure of collaborative monitoring, irrigation scheduling, application efficiency, and environmental influence, covering such aspects as soil physicochemical quality, irrigation scheduling, water resource redistribution, crop productivity, tillage management, climate adaptation, and environmental monitoring, etc. This review indicates that, the irrigation efficiency and drip infiltration quality of soil field can be planned precisely and allocated reasonably by sprinkler drip irrigation, which has extraordinary infiltration capability and enables much better performance, than that of other ordinary irrigation approaches in accuracy, stability, regularity, and efficiency. Thereafter, the investigation on the collaborative operation and application influence of sprinkler drip irrigation can be used to ensure the infiltration uniformity of moisture distribution, and then the high-quality requirements of practical irrigation performance can be met, too. This systematic review facilitates the productive soil-moisture-environment management for precision irrigation and agricultural production.

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“…Moreover, the constant term in the Horton model can reflect that the infiltration reaches stability under the action of gravity, so the fitting effect of the Horton model is better. In addition, the fitting accuracy of the model is also affected by soil structure, organic matter content, porosity, and other factors [40]. Therefore, the applicability study of the infiltration process of the dam land on the Loess Plateau through the field in-situ observation experiment and infiltration model provides an essential theoretical basis for improving the infiltration model.…”

Section: Applicability Analysis Of Infiltration Modelmentioning

confidence: 99%

Study on Soil Water Infiltration Process and Model Applicability of Check Dams

Cheng

et al. 2022

Water

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As the primary ecological construction measure on the Loess Plateau, check dams play an essential role in developing agricultural production, improving people’s production and life, and replenishing groundwater. Soil water infiltration is the most important way to replenish groundwater in the dam land. In order to investigate the water infiltration process of check dams, an empirical model suitable for the simulation of the dam land infiltration process was selected. The soil water infiltration process of the check dam was studied by a field test and a model simulation. The results showed that there were few macropores in the dam, and the water mainly moved downwards in the form of matrix flow. Moreover, the stable infiltration rate of the dam site was low, and its infiltration process could be divided into three stages: rapid infiltration, fluctuating infiltration, and stable infiltration. In addition, the infiltration rate of a non-silted dense layer was 2.4~5 times that of a silted dense layer. The Horton model had a good fitting effect on the water infiltration process of the check dam and thus was suitable for the simulation and prediction of the water infiltration process of the dam. The results can provide a theoretical basis for efficient soil water utilization and infiltration simulation of check dam land.

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RETRACTED: Determining the accuracy of different water infiltration models in lands under wheat and bean cultivation

Cited by 12 publications

References 42 publications

Experimental and Modeling Evaluation of Impacts of Different Tillage Practices on Fitting Parameters of Kostiakov’s Cumulative Infiltration Empirical Equation

Experimental and Modeling Evaluation of Impacts of Different Tillage Practices on Fitting Parameters of Kostiakov’s Cumulative Infiltration Empirical Equation

Collaborative operation and application influence of sprinkler drip irrigation: A systematic progress review

Study on Soil Water Infiltration Process and Model Applicability of Check Dams

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