Quantitative identification of the impact of human activities and climate change on sediment load in the Yellow River Basin of China
文献类型：期刊论文
| 作者 | Wang, Chaomei1; Li, Baofu1; Pan, Tao1,3; Chen, Yanfeng1; Cao, Zhaodan1; Qin, Yanhua1; Yang, Fan2 |
| 刊名 | ENVIRONMENTAL MONITORING AND ASSESSMENT
 |
| 出版日期 | 2026-03-14 |
| 卷号 | 198期号:4页码:316 |
| 关键词 | Sediment load variation Human activities Climate change Attribution analysis The Yellow River Basin of China |
| ISSN号 | 0167-6369 |
| DOI | 10.1007/s10661-026-15139-x |
| 产权排序 | 2 |
| 文献子类 | Article |
| 英文摘要 | Sediment load variations are a key component of eco-hydrological processes and are jointly driven by climate change and intensified human activities. Given that hydrological-sedimentary dynamics in the Yellow River Basin profoundly affect China's ecological security, quantitatively distinguishing climatic and anthropogenic contributions to sediment load changes is of particular importance. To address this, climatic and anthropogenic contributions to sediment load variations across river reaches were quantified by integrating the double mass curve (DMC) method with elastic coefficient analysis based on the fractal-Budyko framework, using hydrological, meteorological, and anthropogenic datasets from the Yellow River mainstem spanning 1961-2022. In this study, climate change is mainly reflected through variations in precipitation and potential evapotranspiration, whereas human activities are defined as anthropogenic interventions affecting sediment transport through land-surface change and water-sediment regulation. The main findings are as follows. Except for the reach above Tangnaihai, sediment loads along the mainstem have decreased significantly over the past six decades, with reductions during summer and autumn dominating interannual variations. In terms of water-sediment relationships, runoff exerted a stronger influence on sediment load than precipitation; however, its effect weakened over time, indicating intensifying anthropogenic interference. Attribution analysis shows that during 1981-2000, climate change dominated sediment variations in the Tangnaihai headwater region, with contribution rates of 88.15-98.45%, whereas human activities were the primary drivers in the mid- and downstream reaches, contributing 84.67-93.62%. During 2001-2022, the contribution of human activities further increased across the basin, particularly in the Tangnaihai headwater region, where it reached 66.41-72.67%. Overall, the Yellow River Basin exhibits pronounced spatiotemporal heterogeneity in sediment dynamics, with a progressive shift from climate-dominated to human-dominated controls. |
| URL标识 | 查看原文 |
| WOS关键词 | LOESS PLATEAU ; CHECK DAMS ; WATER ; TRANSPORT ; REDUCTION ; CATCHMENT ; DISCHARGE ; RUNOFF ; YIELD ; SOIL |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:001714986300002 |
| 出版者 | SPRINGER |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/221195]  |
| 专题 | 陆地表层格局与模拟院重点实验室_外文论文 |
| 通讯作者 | Pan, Tao; Yang, Fan |
| 作者单位 | 1.Qufu Normal Univ, Sch Geog & Tourism, Inst Yellow River Ecol, Sino Belgian Joint Lab Geoinformat, Rizhao 276826, Peoples R China; 2.Meteorol Serv Ctr Shandong Prov, Jinan 250000, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China; |
| 推荐引用方式 GB/T 7714 | Wang, Chaomei,Li, Baofu,Pan, Tao,et al. Quantitative identification of the impact of human activities and climate change on sediment load in the Yellow River Basin of China[J]. ENVIRONMENTAL MONITORING AND ASSESSMENT,2026,198(4):316. |
| APA | Wang, Chaomei.,Li, Baofu.,Pan, Tao.,Chen, Yanfeng.,Cao, Zhaodan.,...&Yang, Fan.(2026).Quantitative identification of the impact of human activities and climate change on sediment load in the Yellow River Basin of China.ENVIRONMENTAL MONITORING AND ASSESSMENT,198(4),316. |
| MLA | Wang, Chaomei,et al."Quantitative identification of the impact of human activities and climate change on sediment load in the Yellow River Basin of China".ENVIRONMENTAL MONITORING AND ASSESSMENT 198.4(2026):316. |
入库方式： OAI收割
来源：地理科学与资源研究所
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