Assessing Stream Network-Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling
文献类型：期刊论文
| 作者 | Chen, Xiaobing2,3,5; Yin, Jie3; Li, Yanzhong1; Chen, Li1; Chen, Dong4 |
| 刊名 | WATER RESOURCES RESEARCH
 |
| 出版日期 | 2025-12-21 |
| 卷号 | 61期号:12页码:e2025WR041015 |
| 关键词 | median grain size stream network modeling spatial heterogeneity |
| ISSN号 | 0043-1397 |
| DOI | 10.1029/2025WR041015 |
| 产权排序 | 5 |
| 文献子类 | Article |
| 英文摘要 | Understanding the spatial variation of streambed sediment median grain size (d 50) is essential for understanding hydrological, geomorphological, and ecological processes, yet network-scale patterns remain poorly characterized. Here we combined extensive field sampling (249 locations) with Digital Grain Size analysis and laboratory sieving to build a high-precision d 50 database across the 3056 km Xin'anjiang (XAJ) stream network in southeastern China. Using a Spatial Stream Network (SSN) geostatistical model, we produced 1 km resolution predictions of d 50 (R 2 = 0.92) that explicitly incorporate hydrologic connectivity and spatial autocorrelation. Results reveal high spatial heterogeneity (0.22-100.28 mm), with systematic downstream fining punctuated by stepwise anomalies at tributary confluences. d 50 decreases with stream order but increases with flow distance to the outlet, indicating the combined roles of geomorphic scaling and sediment supply contrasts. Sensitivity analysis shows that prediction uncertainty grows as sampling density decreases; a similar to 15 km interval provides reliable estimates, while denser sampling is needed near confluences and morphologically complex reaches. This study establishes a transferable framework for network-scale sediment analysis, advancing understanding of spatial grain-size dynamics and guiding efficient sampling strategies in diverse stream networks. |
| URL标识 | 查看原文 |
| WOS关键词 | SPATIAL STATISTICAL-MODELS ; MOVING-AVERAGE APPROACH ; DOWNSTREAM VARIATION ; PARTICLE-SIZE ; HYDRAULIC CONDUCTIVITY ; MISSISSIPPI RIVER ; FINE SEDIMENT ; BED-MATERIAL ; GRAVEL ; TRANSPORT |
| WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001643991600001 |
| 出版者 | AMER GEOPHYSICAL UNION |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/219369]  |
| 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 | Chen, Xiaobing |
| 作者单位 | 1.Nanjing Univ Informat Sci & Technol, Sch Hydrol & Water Resources, Nanjing, Peoples R China; 2.Hohai Univ, State Key Lab Water Disaster Prevent, Nanjing, Peoples R China; 3.Hohai Univ, Coll Water Conservancy & Hydropower Engn, Nanjing, Peoples R China; 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 5.Hohai Univ, Xinanjiang Disaster Prevent & Mitigat Observat & R, Minist Water Resources, Huangshan, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Chen, Xiaobing,Yin, Jie,Li, Yanzhong,et al. Assessing Stream Network-Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling[J]. WATER RESOURCES RESEARCH,2025,61(12):e2025WR041015. |
| APA | Chen, Xiaobing,Yin, Jie,Li, Yanzhong,Chen, Li,&Chen, Dong.(2025).Assessing Stream Network-Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling.WATER RESOURCES RESEARCH,61(12),e2025WR041015. |
| MLA | Chen, Xiaobing,et al."Assessing Stream Network-Scale Variability of Streambed Sediment Median Grain Size (d50): Integrating Field Surveys and Geostatistical Modeling".WATER RESOURCES RESEARCH 61.12(2025):e2025WR041015. |
入库方式： OAI收割
来源：地理科学与资源研究所
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