首页> 外文期刊>Journal of Hydrology >Estimation of sediment yield during storms based on soil and watershed geomorphology characteristics
【24h】

Estimation of sediment yield during storms based on soil and watershed geomorphology characteristics

机译:基于土壤和流域地貌特征的暴风雨泥沙产量估算

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Concentrated rainfall usually results in serious soil erosion on steep hillslopes. Since the itinerary of the eroded sediment is complicated, estimating watershed erosion during storms is practically difficult. A physically-based approach for sediment yield estimation during storms was proposed in this study. By using soil and watershed geomorphologic information, analytical solutions for sediment travel time in different orders of overland areas and channels were derived to develop a geomorphologic instantaneous unit sedimentgraph (GIUS) which showed the temporal distribution of sediment discharge resulting from an instantaneous rainfall excess input. The resultant GIUS was a function of the rainfall excess intensity and sediment delivery ratio. The linearity restriction of the unit hydrograph theory was relaxed. Sediment yields during storm events were calculated by convoluting rainfall intensities with the proposed GIUS, which had been verified by using data from the Goodwin Creek Experimental Watershed in Mississippi, the United States. The simulated and the measured sediment yields were in good agreement for the test storms. Sensitivity of the sedimentgraph to the model parameters was also investigated. The proposed model was considered a promising application for sediment yield estimation in the field of water resources design.
机译:集中的降雨通常会导致陡峭的山坡上严重的土壤侵蚀。由于被侵蚀的沉积物的行程很复杂,因此估计风暴期间流域的侵蚀实际上是困难的。这项研究提出了一种基于物理的方法来估计暴风雨期间的泥沙产量。利用土壤和流域的地貌信息,得出了陆上地区和河道不同阶段的泥沙运移时间的解析解,以建立一个地貌瞬时单位沉积图(GIUS),该图显示了瞬时降雨过量输入导致的泥沙流量的时间分布。所得的GIUS是降雨过量强度和泥沙输送比的函数。单位水位线图理论的线性限制得到了缓解。风暴事件期间的泥沙产量是通过使用拟议的GIUS来计算降雨强度来计算的,而GIUS已使用来自美国密西西比州的Goodwin Creek实验流域的数据进行了验证。模拟和测得的沉积物产量与试验风暴吻合良好。还研究了沉积物对模型参数的敏感性。该模型被认为是在水资源设计领域中泥沙产量估算的有前途的应用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号