Comparative analysis of the novel infiltration model with other infiltration models

Zakwan, Mohammad

doi:10.1111/wej.12435

Cited by 21 publications

(11 citation statements)

References 33 publications

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“…Thus, they found that the Novel model was suitable for sandy loam, loam and clayey loam. In this regard, it may be inferred that the Novel model may accurately predict the infiltration rate in loamy soils (Zakwan 2020).…”

Section: Determination Of Infiltration Model Parametersmentioning

confidence: 96%

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Mesele,

Grum,

Aregay

et al. 2024

Preprint

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Determination of infiltration capacity is a very important parameter during the design and evaluation of irrigation systems. Accurate estimation of infiltration rates helps in optimizing irrigation scheduling, preventing soil erosion, and improving water use efficiency. This study was conducted to evaluate and compare selected infiltration models for estimating water infiltration rates of five soil textures in the Shillanat-iv- irrigation scheme in northern Ethiopia. Soil samples were taken from selected sites in the irrigation scheme to determine soil textural classes using the hydrometer texture laboratory analysis and the USDA textural triangle. A soil textural map of the irrigation area was prepared using the inverse distance weight interpolation technique in ArcGIS version 10.4. The double-ring infiltrometer was used to measure the infiltration rates of different soil textures in the irrigation scheme. Six selected infiltration models namely Kostiakov, Modified Kostiakov, Revised Modified Kostiakov, Philip, Horton, and Novel models were used to estimate infiltration rates for five soil textural classes namely, clay loam, loam, sandy clay loam, clay and sandy loam soils. To evaluate the performance of the models, infiltration rate was measured in 38 points of the study area, out of which 70% of the data was calibrating model parameters and 30% of the data was used for model validation. Parameter values of the infiltration models were optimized using the least-squares errors in SPSS statistical software. Five statistical parameters including the Coefficient of determination (R2), Maximum absolute error (MAE), Bias, Root mean square error (RMSE) and Percentage average error (PAE) were used to evaluate the performance of the infiltration models. Results indicated that the Revised Modified Kostiakov’s, Modified Kostiakov’s, and Novel’s infiltration models had better capability in estimating infiltration rates for clay loam, loam and sandy loam soil textures respectively. Similarly, the Hortons’s model had better performances in estimating infiltration rates of both sandy clay loam and clay soil textures compared to other models. In the design of the irrigation system, the best-fitted infiltration models can be used for estimating the infiltration rate of soil textures in the selected irrigation scheme and other sites with similar soil textures.

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Section: Determination Of Infiltration Model Parametersmentioning

confidence: 96%

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Mesele,

Grum,

Aregay

et al. 2024

Preprint

View full text Add to dashboard Cite

show abstract

“…One-dimensional vertical infiltration simulation in the soil has been a heated and productive topic of research for domestic and overseas experts and the simulation formulas could be classified as theoretical models such as the Green-Ampt infiltration model or Philip formula, semi-empirical models such as the Horton and Holtan models, and empirical models such as the Kostiakov and Huggins-Monke models [20][21][22][23]. Zhen et al (2016) [9] validated that the water infiltration process in homogeneous soil can be effectively fitted by both Philip and Kostiakov infiltration models.…”

Section: Simulation Of Water Infiltration In Homogeneous Soilmentioning

confidence: 99%

Soil Reclamation Models by Soil Water Infiltration for Refuse Dumps in Opencast Mining Area of Northern China

et al. 2022

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The water infiltration rules of five different homogeneously or heterogeneously-constructed soil samples were determined to select the best soil construction module for refuse dump reclamation in the opencast mines of the Shanxi-Shaanxi-Inner Mongolia energy circle. Five treatments, including three homogeneous soil samples consisting of sandy soil, Montmorillonite-enriched sandstone, and sand-Montmorillonite-enriched sandstone mixture, together with two heterogeneous soil samples composed of sandy soil + Montmorillonite-enriched sandstone + sandy soil and sandy soil + sandy − Montmorillonite-enriched sandstone mixture (7:3) + sandy soil. Three replicates of each treatment were prepared in the indoor pillars to measure the infiltration process by auto-recording geometry, to investigate the infiltration features of various soil configurations by testing their infiltration rate, cumulative infiltration capacity, wetting front migration, and profile soil content, and to evaluate the infiltration of newly constructed soil in the natural conditions of the research area. The experiment demonstrated that the addition of Montmorillonite-enriched sandstone into sandy soil significantly slowed down soil water infiltration, especially in the heterogeneous soils. Traditional models perfectly simulated the soil water infiltration in the three homogeneous soils in which soil infiltration capacity could be segmentally fitted by Kostiakov model and linear model, and wetting front could be fitted by a power function. Compared with the homogeneous soil samples, heterogeneous soil could reduce the direct surface runoff and deep percolation, and is an idealized structure for soil reconstruction in opencast coal mine dump.

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“…(Kim et al, 2016;Pandey et al, 2018;Sun et al, 2019;Alizadeh, 2019). In short, low water quality can cause problems, indicating the effects of seepage, in ltration, and quality of the ecosystem (Alizadeh et al, 2019;Zakwan, 2019 ;Keshtkar et al 2013). The essential role of rivers is in ecosystems based on the environmental role.…”

Section: Introductionmentioning

confidence: 99%

Comparison of river water quality assessment methods using the tree model and the nearest neighbor method (A case study: AhvazHydrometric Station)

Ebadati

Hooshmandzadeh²,

Malmasi

2023

Preprint

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Ahwaz Hydrometric Station is responsible for controlling surface water resources and the Karoon River near Ahwaz city in southwestern Iran. And the present study aimed to determine the parameters affecting water quality, especially TH and SAR parameters. For this purpose, 39-year old statistical data were collected with 463 samples. To determine the water quality, first the correlation matrix method and statistical analysis were conducted, and then the correlation between them and the accuracy of these methods were checked using the tree model and the K-Nearest Neighbor (K-NN) method. The K-NN method and multivariate regression were compared for water quality characteristics, including SAR. The results indicated that K-NN methods were better than the regression method. In addition, the K-NN method using the effective anion and cation combinations yielded better results of estimating Sodium Absorption Ratio (SAR) and Total hardness (TH). Furthermore, the accuracy of the tree model after estimating TH using SO42- was more than that of Ca2+. Moreover, the accuracy of the tree model using the Cl- data for SAR estimation was higher than that of the Na+ data. In general, according to the APHA standard (2005), river water is in the high-risk and low-alkaline group.

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Comparative analysis of the novel infiltration model with other infiltration models

Cited by 21 publications

References 33 publications

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Evaluation and comparison of infiltration models for estimating infiltration capacity of different textures of irrigated soils: Case of Northern Ethiopia.

Soil Reclamation Models by Soil Water Infiltration for Refuse Dumps in Opencast Mining Area of Northern China

Comparison of river water quality assessment methods using the tree model and the nearest neighbor method (A case study: AhvazHydrometric Station)

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