Performance assessment of infiltration models for varying soil textural classes.
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| Title: | Performance assessment of infiltration models for varying soil textural classes. |
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| Authors: | Xiufang Yang1 xiufanghappygirl@163.com, Soomro, Shoukat Ali2 sasoomro@sau.edu.pk, Rajani, Vikash Kumar2 vikashrajani472@gmail.com, Bin Li3 binli@zafu.edu.cn, Soothar, Rajesh Kumar2 rk_engrl95@yahoo.com, Mirjat, Muhammad Uris2 mumhjat@sau.edu.pk, Shaikh, Sher Ali2 sashaikh@sau.edu.pkm, Chandio, Farman Ali2,4 farman_chandio@hotmail.com |
| Source: | International Journal of Agricultural & Biological Engineering. Dec2025, Vol. 18 Issue 6, p175-181. 7p. |
| Subjects: | Soil infiltration, Soil classification, Land management, Field research |
| Geographic Terms: | Pakistan, Sindh (Pakistan) |
| Abstract: | Field experiments were carried out to investigate the soil infiltration rates in different soil textures (clay loam, clay, and silty clay loam) with five infiltration models (Kostiakov, Modified Kostiakov, Philip, Horton, and Green-Ampt). Field experiments were conducted at the experimental stations of Sindh Agriculture University, Tandojam (Station No. 1, Faculty of Agricultural Engineering; 25°25'28"N, 68°32'24"E), (Station No. 2, Latif Experimental Farm; 25°26'14"N, 68°32'30"E) and Agriculture Research, Tandojam, (Station No. 3, Barley and Wheat Research Institute, 25° 24' 59" N 68° 32' 40" E), Sindh, Pakistan. These stations were selected to meet the need of three different soil textures. The composted soil samples were collected at the depth of 0-30 cm, and their textural classes were determined with the Bouyoucos hydrometer method. Field infiltration rates were measured using a double ring infiltrometer method. The results showed that the initial infiltration rates were high and gradually decreased until they reached a steady state. Using statistical parameters (NSE, RMSE, CC, and R²), the measured infiltration rates were compared with the predicted infiltration rates of the selected infiltration models. For clay loam soil, Philip's model had the lowest RMSE and highest NSE, CC, and R¹ values, followed by Horton's model. For both clay and silty clay loam soils, Horton's model was the most accurate in predicting the infiltration rate with lowest RMSE and highest NSE, CC, and R2 values, followed by Philip's model. The other three models (Kostiakov's, Modified Kostiakov's, and Green-Ampt's) performed poorly with higher errors and lower agreements compared to Horton's and Philip's models. In conclusion, Horton's model demonstrated the highest accuracy and agreement for clay and silty clay loam soils, while Philip's model showed the best performance for clay loam soil. These findings contribute to understanding the behavior of soil infiltration rate and provide valuable insights for land and water management practices in the studied area. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Agricultural & Biological Engineering is the property of International Journal of Agricultural & Biological Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 191030910 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Performance assessment of infiltration models for varying soil textural classes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Xiufang+Yang%22">Xiufang Yang</searchLink><relatesTo>1</relatesTo><i> xiufanghappygirl@163.com</i><br /><searchLink fieldCode="AR" term="%22Soomro%2C+Shoukat+Ali%22">Soomro, Shoukat Ali</searchLink><relatesTo>2</relatesTo><i> sasoomro@sau.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Rajani%2C+Vikash+Kumar%22">Rajani, Vikash Kumar</searchLink><relatesTo>2</relatesTo><i> vikashrajani472@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bin+Li%22">Bin Li</searchLink><relatesTo>3</relatesTo><i> binli@zafu.edu.cn</i><br /><searchLink fieldCode="AR" term="%22Soothar%2C+Rajesh+Kumar%22">Soothar, Rajesh Kumar</searchLink><relatesTo>2</relatesTo><i> rk_engrl95@yahoo.com</i><br /><searchLink fieldCode="AR" term="%22Mirjat%2C+Muhammad+Uris%22">Mirjat, Muhammad Uris</searchLink><relatesTo>2</relatesTo><i> mumhjat@sau.edu.pk</i><br /><searchLink fieldCode="AR" term="%22Shaikh%2C+Sher+Ali%22">Shaikh, Sher Ali</searchLink><relatesTo>2</relatesTo><i> sashaikh@sau.edu.pkm</i><br /><searchLink fieldCode="AR" term="%22Chandio%2C+Farman+Ali%22">Chandio, Farman Ali</searchLink><relatesTo>2,4</relatesTo><i> farman_chandio@hotmail.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Agricultural+%26+Biological+Engineering%22">International Journal of Agricultural & Biological Engineering</searchLink>. Dec2025, Vol. 18 Issue 6, p175-181. 7p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Soil+infiltration%22">Soil infiltration</searchLink><br /><searchLink fieldCode="DE" term="%22Soil+classification%22">Soil classification</searchLink><br /><searchLink fieldCode="DE" term="%22Land+management%22">Land management</searchLink><br /><searchLink fieldCode="DE" term="%22Field+research%22">Field research</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Pakistan%22">Pakistan</searchLink><br /><searchLink fieldCode="DE" term="%22Sindh+%28Pakistan%29%22">Sindh (Pakistan)</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Field experiments were carried out to investigate the soil infiltration rates in different soil textures (clay loam, clay, and silty clay loam) with five infiltration models (Kostiakov, Modified Kostiakov, Philip, Horton, and Green-Ampt). Field experiments were conducted at the experimental stations of Sindh Agriculture University, Tandojam (Station No. 1, Faculty of Agricultural Engineering; 25°25'28"N, 68°32'24"E), (Station No. 2, Latif Experimental Farm; 25°26'14"N, 68°32'30"E) and Agriculture Research, Tandojam, (Station No. 3, Barley and Wheat Research Institute, 25° 24' 59" N 68° 32' 40" E), Sindh, Pakistan. These stations were selected to meet the need of three different soil textures. The composted soil samples were collected at the depth of 0-30 cm, and their textural classes were determined with the Bouyoucos hydrometer method. Field infiltration rates were measured using a double ring infiltrometer method. The results showed that the initial infiltration rates were high and gradually decreased until they reached a steady state. Using statistical parameters (NSE, RMSE, CC, and R²), the measured infiltration rates were compared with the predicted infiltration rates of the selected infiltration models. For clay loam soil, Philip's model had the lowest RMSE and highest NSE, CC, and R¹ values, followed by Horton's model. For both clay and silty clay loam soils, Horton's model was the most accurate in predicting the infiltration rate with lowest RMSE and highest NSE, CC, and R2 values, followed by Philip's model. The other three models (Kostiakov's, Modified Kostiakov's, and Green-Ampt's) performed poorly with higher errors and lower agreements compared to Horton's and Philip's models. In conclusion, Horton's model demonstrated the highest accuracy and agreement for clay and silty clay loam soils, while Philip's model showed the best performance for clay loam soil. These findings contribute to understanding the behavior of soil infiltration rate and provide valuable insights for land and water management practices in the studied area. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Agricultural & Biological Engineering is the property of International Journal of Agricultural & Biological Engineering and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.25165/j.ijabe.2O251806.9603 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 175 Subjects: – SubjectFull: Soil infiltration Type: general – SubjectFull: Soil classification Type: general – SubjectFull: Land management Type: general – SubjectFull: Field research Type: general – SubjectFull: Pakistan Type: general – SubjectFull: Sindh (Pakistan) Type: general Titles: – TitleFull: Performance assessment of infiltration models for varying soil textural classes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Xiufang Yang – PersonEntity: Name: NameFull: Soomro, Shoukat Ali – PersonEntity: Name: NameFull: Rajani, Vikash Kumar – PersonEntity: Name: NameFull: Bin Li – PersonEntity: Name: NameFull: Soothar, Rajesh Kumar – PersonEntity: Name: NameFull: Mirjat, Muhammad Uris – PersonEntity: Name: NameFull: Shaikh, Sher Ali – PersonEntity: Name: NameFull: Chandio, Farman Ali IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 19346344 Numbering: – Type: volume Value: 18 – Type: issue Value: 6 Titles: – TitleFull: International Journal of Agricultural & Biological Engineering Type: main |
| ResultId | 1 |
