首页> 外文期刊>Journal of the American Water Resources Association >Channel Evolution Models as Predictors of Sediment Yield
【24h】

Channel Evolution Models as Predictors of Sediment Yield

机译:渠道演变模型作为泥沙产量的预测因子

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

This paper recounts our predictions of channel evolution of the Black Vermillion River (BVR) and sediment yields associated with the evolutionary sequence. Channel design parameters allowed for the prediction of stable channel form and coincident sediment yields. Measured erosion rates and basin-specific bank erosion curves aided in prediction of the stream channel succession time frame. This understanding is critical in determining how and when to mitigate a myriad of instability consequences. The BVR drains approximately 1,062km(2) in the glaciated region of Northeast Kansas. Once tallgrass prairie, the basin has been modified extensively for agricultural production. As such, channelization has shortened the river by nearly 26km from pre-European dimensions; shortening combined with the construction of numerous flow-through structures have produced dramatic impacts on discharge and sediment dynamics. Nine stream reaches were established within three main tributaries of the BVR in 2007. Reaches averaged 490m in length, were surveyed, and assessed for channel stability, while resurveys were conducted annually through 2010 to monitor change. This work illustrates the association of current stream state, in-channel sediment contributions, and prediction of future erosion rates based on stream evolution informed by multiple models. Our findings suggest greater and more rapid sedimentation of a federal reservoir than has been predicted using standard sediment prediction methods.
机译:本文叙述了我们对黑朱砂河(BVR)河道演变以及与演化序列相关的沉积物产量的预测。渠道设计参数可以预测稳定的渠道形式和一致的沉积物产量。测得的侵蚀速率和特定盆地的侵蚀曲线有助于预测河道演替时间框架。这种理解对于确定如何以及何时减轻各种不稳定后果至关重要。 BVR在堪萨斯州东北部的冰川地区排水约1,062 km(2)。曾经是高草草原的地区,该流域已经进行了大规模改建,以用于农业生产。因此,河道化已使河流比欧洲前时期缩短了近26公里。起酥油的缩短与大量流通结构的构造相结合,对排放和泥沙动力学产生了巨大影响。 2007年,在BVR的三个主要支流中建立了9条河流。河段的平均长度为490m,进行了勘测并评估了河道的稳定性,同时每年进行一次调查,直至2010年,以监测变化。这项工作说明了当前河流状态,河道内沉积物贡献以及基于多种模型提供的河流演变预测未来侵蚀速率的关联。我们的发现表明,与使用标准沉积物预测方法所预测的结果相比,联邦水库的沉积更加迅速。

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