首页|Sediment yields variation and response to the controlling factors in the Wei River Basin, China

Sediment yields variation and response to the controlling factors in the Wei River Basin, China

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? 2022 Elsevier B.V.Assessing regional sediment yield variation and their responses to the potential controlling factors are critical to develop specific strategies of soil conservation measures to adapt to future climate change. This study attempted to investigate the spatial–temporal variation of sediment load in the Wei River basin in the midstream of the Yellow River during 1961–2015 at 15 hydrological stations. The results indicated that annual sediment load in the past six decades decreased significantly (P < 0.01) with the changing trends of ?6.43 × 104, ?3.86 × 104, ?4.6 × 104 t/a at Xianyang, Zhangjiashan, and Zhuangtou stations, respectively. Annual sediment load exhibited abrupt changes in the mid-1990s, which were largely attributed to the strong effects of soil conservation measures in the study area. The spatial pattern of soil erosion were characterized by high sediment yield in the north with sparse vegetation cover and well-developed gullies, and low sediment yield in the south with flat plain and good vegetation cover in the Wei River basin. The results of the partial least squares-structural equation model (PLS-SEM) showed that vegetation changes and rainfall variability explained 62.3%, 47.3%, and 40.1% of the variation in runoff at Xianyang, Zhuangtou, and Zhangjiashan stations, respectively, whereas 59.4%, 17.6% and 48% of the variation in sediment load were explained by the combining effects of rainfall variability, changes of vegetation and runoff. This study provides a deep insight for understanding the effects of driving forces on sediment yield changes, and can be useful to regional soil conservation planning in the region.

Controlling factorsCorrelation analysisSediment yieldSpatial and temporal variationWei River Basin

Tian P.、Liu L.、Tian X.、Zhao G.、Mu X.、Bai Y.、Klik A.、Wang R.、Lu X.

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College of Natural Resources and Environment Northwest A&F University

State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau Institute of Soil and Water Conservation Northwest A&F University

University of Bodenkultur Wien University Nature Resources & Life Science Vienna Dept Water Atmosphere & Environment

Erdos Hydrological Survey Bureau of Inner Mongolia Autonomous Region

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2022

Catena

Catena

SCI
ISSN:0341-8162
年,卷(期):2022.213
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