Decoding channel widening dynamics: Linking hydraulic forcing and soil resistance through time-continuous prediction
文献类型：期刊论文
| 作者 | Qin, Chao5,6; Wang, Ziyi4,6; Cao, Liekai3; Xu, Ximeng2; Xue, Yuan6; Liu, Haifei4; Zheng, Fenli1 |
| 刊名 | CATENA
 |
| 出版日期 | 2026-06-30 |
| 卷号 | 268页码:110034 |
| 关键词 | Channel width Channel expansion Soil composition Concentrated flow Plough pan |
| ISSN号 | 0341-8162 |
| DOI | 10.1016/j.catena.2026.110034 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Sidewall expansion becomes the dominant driver of channel evolution and a major source of soil loss, once the bed of a linear erosion channel (LEC) incises to a less erodible layer. However, understanding of the widening process remains limited due to its inherent randomness, non-linearity, and the absence of reliable methods to capture rapid morphological changes. Laboratory experiments were designed to investigate the influences of hydraulic forcing (combined effects of upslope inflow and slope gradient), and resistance to erosion (soil properties) on the channel widening process. A total of 46 experimental runs with 27 treatments (three inflow rates, three slope gradients, and three soils) were conducted in prepacked soil beds. The time series of channel width was captured through photogrammetry. The captured images were processed by the improved Channel-DeepLab network model to automatically export high spatial resolution width data. The results indicated that the sediment discharge and widening rate increased with inflow rate and bed slope. Atwood had the highest unit-width sediment discharge (0.179-1.113 kg s(-1) m(-1)) and widening rate (0.002-0.058 m min(-1)), followed by Loring and Forestdale. Generally, widening rate increased with unit channel length stream power, but the tendency may be less evident when inflow rate or slope gradient played a significantly greater influence on channel widening than the other one. Atwood exhibited high susceptibility to the increase in slope gradient, whereas Loring and Forestdale demonstrated relatively higher susceptibility to inflow rate compared to slope but generally a good resistance to the concentrated flow. Three empirical equations were developed in terms of discharge, slope and soil composition, and the prediction was verified and exhibited a good performance (R-2 > 0.85, NSE > 0.67). The automatic output method and prediction equations of channel widths proposed in this study have the potential to be expanded to natural channel erosion monitoring and management. |
| URL标识 | 查看原文 |
| WOS关键词 | BROILER LITTER ; EROSION ; WIDTH ; RAINFALL ; MODEL ; RATES ; CLAY ; BANK ; DEGRADATION ; MIGRATION |
| WOS研究方向 | Geology ; Agriculture ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001733257100001 |
| 出版者 | ELSEVIER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221465]  |
| 专题 | 陆地水循环及地表过程院重点实验室_外文论文 |
| 通讯作者 | Wang, Ziyi; Liu, Haifei |
| 作者单位 | 1.Northwest A&F Univ, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess Pl, Yangling 712100, Shaanxi, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China; 3.North China Elect Power Univ, Sch Water Resources & Hydropower Engn, Beijing 102206, Peoples R China; 4.Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China; 5.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess Sci, Xian 710061, Shaanxi, Peoples R China; 6.Tsinghua Univ, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Qin, Chao,Wang, Ziyi,Cao, Liekai,et al. Decoding channel widening dynamics: Linking hydraulic forcing and soil resistance through time-continuous prediction[J]. CATENA,2026,268:110034. |
| APA | Qin, Chao.,Wang, Ziyi.,Cao, Liekai.,Xu, Ximeng.,Xue, Yuan.,...&Zheng, Fenli.(2026).Decoding channel widening dynamics: Linking hydraulic forcing and soil resistance through time-continuous prediction.CATENA,268,110034. |
| MLA | Qin, Chao,et al."Decoding channel widening dynamics: Linking hydraulic forcing and soil resistance through time-continuous prediction".CATENA 268(2026):110034. |
入库方式： OAI收割
来源：地理科学与资源研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。