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    黄土高塬沟壑区塬面分布特征及产沙情势

    Distribution characteristics of tableland and sediment yield in the loess tableland-gully area

    • 摘要:
      目的 黄河泥沙主要源自黄土高塬沟壑区与黄土丘陵沟壑区,两者减沙机制与效果存在显著差异。目前针对塬区缺乏适用的产沙模型与未来产沙情势评价方法,难以支撑该区域水土流失的精准治理与成效评估。
      方法 选取塬面集中分布的20个水文站控制单元为研究区,基于遥感影像与DEM数据,采用ArcGIS人机交互方法识别塬面;引入破碎度指数(Meff)评价塬面破碎化水平,分析Meff与产沙量的关系;基于实际产沙量与黄土丘陵沟壑区模型计算产沙量的对比关系,引入Meff 构建黄土高塬沟壑区产沙模型,并采用未来治理情景预测产沙变化,评价其产沙情势。
      结果 1) 研究区共识别塬面3524个,总面积约8120.26 km2。根据Meff 将塬面划分为完整(Meff ≥ 100 km2)、较破碎(50 ≤ Meff < 100 km2)和破碎(Meff < 50 km2)3类。2)Meff与实际产沙量/丘陵区模型计算产沙量呈线性高度负相关,决定系数R2为0.96,据此建立塬区产沙模型。模型预测表明,在Meff值 ≥ 50 km2的塬面,2025、2030、2035和2050年产沙量较2018年,减幅分别为8.38%、14.66%、19.85%和31.44%,相同规模梯田林草若布设在丘陵区,产沙量减幅可分别达13.20%、22.30%、29.65%和45.08%,表明塬区梯田林草措施减沙效果低于丘陵区。
      结论 黄土高塬沟壑区产沙情势可通过引入破碎度指数的模型有效评估,其梯田林草措施的减沙潜力有限。未来治理可转向塬面保护、阻控径流集中下沟及雨洪高效利用等方向。

       

      Abstract:
      Objective The sediment in the Yellow River primarily originates from the loess hilly-gully area and the loess tableland-gully area, where significant differences exist in sediment reduction mechanisms and effectiveness. Currently, the lack of applicable sediment yield models and future scenario assessment methods for the loess tableland-gully area hinders the precise management and effectiveness evaluation of soil and water loss in this area.
      Methods The 20 hydrological station control units concentrated on the loess tableland-gully area were selected as the study area. Based on remote sensing images and DEM data, the tablelands were identified using the human-computer interactive method in ArcGIS. The fragmentation index (Meff) was introduced to evaluate the degree of tableland fragmentation, and the relationship between Meff and sediment yield was analyzed. Based on the comparative relationship between the actual sediment yield and the sediment yield calculated by the model for the loess hilly-gully area, Meff was incorporated to construct a sediment yield model for the loess tableland-gully area. Future sediment yield changes were then predicted and the sediment yield situation was evaluated using future management scenarios.
      Results 1) The total number of tablelands in the loess tableland-gully area was 3 524, covering an area of about 8 120.26 km2. Tablelands were classified based on the Meff value. Those of Meff ≥ 100 km2 were considered as intact tablelands, those of 50 km2Meff < 100 km2 were considered as slightly fragmented tablelands, and those of Meff < 50 km2 were considered as fragmented tablelands. 2) Meff was highly negatively correlated with the actual measured sediment yield and the sediment yield calculated using sediment yield model for the loess hilly-gully area, with a coefficient of determination R2 of 0.96. Based on this, a sediment yield model for the loess tableland-gully area was established. Model predictions indicated that for tablelands with Meff ≥ 50 km2, sediment yields in 2025, 2030, 2035, and 2050 will decrease by 8.38%, 14.66%, 19.85%, and 31.44%, respectively, compared to 2018. However, if the same scale terraced fields and forests and grasslands were deployed in the loess hilly-gully area, the reduction in sediment yield will be as high as 13.20%, 22.30%, 29.65%, and 45.08%, respectively, indicating that the sediment reduction effectiveness of terraced fields and vegetation measures in the tableland area will be significantly lower than that in the hilly area.
      Conclusions The sediment yield situation in the loess tableland-gully area can be effectively assessed using a model incorporating Meff, though the sediment reduction potential of terraced fields and vegetation measures remains limited. Future management should shift toward tableland protection, controlling concentrated runoff into gullies, and efficient utilization of rainfall and flood resources.

       

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