Evidence map›Paper›PMID 40140410›Full record

ArticleScientific reports2025

Variations in Hotan riverbed permeability and seepage water amount by soil grain size changes from upstream to downstream.

Shuo Wang, Jianghui Zhang, Zheng Fang, Jianhui Du, Yungang Bai, Qiying Yu, Bangxin Ding

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shuo WangCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, 832000, China.
Jianghui ZhangCollege of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi, 832000, China. skyzjh@163.net.
Zheng FangDepartment of Environment and Geography, University of York, York, YO10 5NG, UK.
Jianhui DuSchool of Geography and Planning, Sun Yat-Sen University, Guangzhou, 510275, China.
Yungang BaiXinjiang Institute of Water Resources and Hydropower Research, Urumqi, 830049, China. xjbaiyg@sina.com.
Qiying YuXinjiang Institute of Water Resources and Hydropower Research, Urumqi, 830049, China.
Bangxin DingKey Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas, Ministry of Education, Northwest A&F University, Yangling, 712100, China.

Funding

Xinjiang Institute of Water Resources and Hydropower Research 2022TSYCLJ0069
6 · The paper itself

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.

Indexed as

Cumulative infiltration modellingFractal dimensionHotan riverInfiltration coefficientParticle size analysisSeepage volume

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.