Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream
Abstract Severe seepage presents a significant challenge to the sustainable management of water resources, and a lack of seepage data from the upper, middle, and lower reaches of the Hotan River hinders effective resource management. This study assessed the water infiltration rate in the riverbed us...
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Nature Portfolio
2025-03-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-93657-3 |
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| author | Shuo Wang Jianghui Zhang Zheng Fang Jianhui Du Yungang Bai Qiying Yu Bangxin Ding |
| author_facet | Shuo Wang Jianghui Zhang Zheng Fang Jianhui Du Yungang Bai Qiying Yu Bangxin Ding |
| author_sort | Shuo Wang |
| collection | DOAJ |
| description | Abstract Severe seepage presents a significant challenge to the sustainable management of water resources, and a lack of seepage data from the upper, middle, and lower reaches of the Hotan River hinders effective resource management. This study assessed the water infiltration rate in the riverbed using the double-ring method and evaluated the performance of four commonly used infiltration models. Results showed that infiltration rates were highest in the upper section, with permeability decreasing towards the banks. Water consumption, seepage volume, and seepage per unit river length decreased from upstream to downstream. Specifically, seepage volumes were greatest in the upstream section, followed by midstream and downstream. The seepage rate per unit riverbed was highest in the upstream section, followed by the midstream, and lowest in the downstream section. The mean sediment volume fractal dimension was 1.34, positively correlated with sand content, while higher clay and silt content resulted in finer textures and smaller fractal dimensions. These findings fill critical gaps in understanding water infiltration patterns and sediment characteristics in the Hotan River basin, providing essential data for water resource management and ecological protection. Among the models tested, the Kostiakov equation outperformed the Philip, Green-Ampt and Horton models in terms of accuracy and applicability. |
| format | Article |
| id | doaj-art-3beb220174784892b85fb6512e34afc8 |
| institution | OA Journals |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
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| spelling | doaj-art-3beb220174784892b85fb6512e34afc82025-08-20T02:10:10ZengNature PortfolioScientific Reports2045-23222025-03-0115111910.1038/s41598-025-93657-3Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstreamShuo Wang0Jianghui Zhang1Zheng Fang2Jianhui Du3Yungang Bai4Qiying Yu5Bangxin Ding6College of Water Conservancy & Architectural Engineering, Shihezi UniversityCollege of Water Conservancy & Architectural Engineering, Shihezi UniversityDepartment of Environment and Geography, University of YorkSchool of Geography and Planning, Sun Yat-Sen UniversityXinjiang Institute of Water Resources and Hydropower ResearchXinjiang Institute of Water Resources and Hydropower ResearchKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F UniversityAbstract Severe seepage presents a significant challenge to the sustainable management of water resources, and a lack of seepage data from the upper, middle, and lower reaches of the Hotan River hinders effective resource management. This study assessed the water infiltration rate in the riverbed using the double-ring method and evaluated the performance of four commonly used infiltration models. Results showed that infiltration rates were highest in the upper section, with permeability decreasing towards the banks. Water consumption, seepage volume, and seepage per unit river length decreased from upstream to downstream. Specifically, seepage volumes were greatest in the upstream section, followed by midstream and downstream. The seepage rate per unit riverbed was highest in the upstream section, followed by the midstream, and lowest in the downstream section. The mean sediment volume fractal dimension was 1.34, positively correlated with sand content, while higher clay and silt content resulted in finer textures and smaller fractal dimensions. These findings fill critical gaps in understanding water infiltration patterns and sediment characteristics in the Hotan River basin, providing essential data for water resource management and ecological protection. Among the models tested, the Kostiakov equation outperformed the Philip, Green-Ampt and Horton models in terms of accuracy and applicability.https://doi.org/10.1038/s41598-025-93657-3Hotan riverInfiltration coefficientSeepage volumeFractal dimensionParticle size analysisCumulative infiltration modelling |
| spellingShingle | Shuo Wang Jianghui Zhang Zheng Fang Jianhui Du Yungang Bai Qiying Yu Bangxin Ding Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream Scientific Reports Hotan river Infiltration coefficient Seepage volume Fractal dimension Particle size analysis Cumulative infiltration modelling |
| title | Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| title_full | Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| title_fullStr | Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| title_full_unstemmed | Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| title_short | Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| title_sort | variations in hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream |
| topic | Hotan river Infiltration coefficient Seepage volume Fractal dimension Particle size analysis Cumulative infiltration modelling |
| url | https://doi.org/10.1038/s41598-025-93657-3 |
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