...
首页> 外文期刊>Entropy >Conventional Point-Velocity Records and Surface Velocity Observations for Estimating High Flow Discharge
【24h】

Conventional Point-Velocity Records and Surface Velocity Observations for Estimating High Flow Discharge

机译:常规点速记录和表面速度观测,用于估算高流量流量

获取原文
   

获取外文期刊封面封底 >>

       

摘要

Flow velocity measurements using point-velocity meters are normally obtained by sampling one, two or three velocity points per vertical profile. During high floods their use is inhibited due to the difficulty of sampling in lower portions of the flow area. Nevertheless, the application of standard methods allows estimation of a parameter, α, which depends on the energy slope and the Manning roughness coefficient. During high floods, monitoring of velocity can be accomplished by sampling the maximum velocity, umax, only, which can be used to estimate the mean flow velocity, um, by applying the linear entropy relationship depending on the parameter, M, estimated on the basis of historical observed pairs (um, umax). In this context, this work attempts to analyze if a correlation between α and M holds, so that the monitoring for high flows can be addressed by exploiting information from standard methods. A methodology is proposed to estimate M from α, by coupling the “historical” information derived by standard methods, and “new” information from the measurement of umax surmised at later times. Results from four gauged river sites of different hydraulic and geometric characteristics have shown the robust estimation of M based on α.
机译:通常,通过对每个垂直轮廓采样一个,两个或三个速度点来获得使用点速度计的流速测量值。在高洪灾期间,由于难以在流量区域的下部进行采样,因此无法使用它们。然而,标准方法的应用允许估计参数α,该参数取决于能量斜率和曼宁粗糙度系数。在大洪水期间,仅通过采样最大速度u max 即可完成对速度的监控,最大速度可用于估计平均流速u m 。根据历史观测对(u m ,u max )估算的参数M应用线性熵关系。在这种情况下,这项工作试图分析α和M之间的相关性是否成立,以便可以通过利用标准方法中的信息来解决对高流量的监视。提出了一种方法,该方法通过结合标准方法得出的“历史”信息和稍后推测的u max 测量值中的“新”信息,从α估算M。来自四个具有不同水力和几何特性的规范河流站点的结果表明,基于α的M的可靠估计。

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