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Stochastic response of storage function runoff model to mutually dependent rainfall inputs

机译:存储函数径流模型对相互依赖的降雨输入的随机响应

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摘要

It is well known that the rainfall runoff phenomenon is more or less stochastic. If the runoff system is linear, it is easy to estimate the stochastic response by using, for example, the spectrum theory. However, the rainfall runoff phenomenon is a nonstationary random process. Thus, the spectrum theory cannot provide sufficient solutions to describe the stochastic property of the runoff system.rnIn this paper, we adopt the Kinematic Wave model and the storage function runoff model derived from the Kinematic Wave model as the runoff system, and we propose differential equations whose solutions provide a variance of discharge even if the runoff system is nonlinear.
机译:众所周知,降雨径流现象或多或少是随机的。如果径流系统是线性的,则很容易通过使用例如频谱理论来估计随机响应。但是,降雨径流现象是一个不稳定的随机过程。因此,频谱理论不能提供足够的解决方案来描述径流系统的随机性。rn本文采用运动波模型和由运动波模型推导的存储函数径流模型作为径流系统,并提出微分法。即使径流系统是非线性的,其解也可提供流量变化的方程。

著录项

  • 来源
    《Hydraulic engineering software VII》|1998年|413-423|共11页
  • 会议地点 Villa Olmo(IT);Villa Olmo(IT)
  • 作者单位

    Division of Environment and Resource Engineering, Graduate School of Hokkaido University, N13 W8, Northward, Sapporo 060-8628, Japan;

    Division of Environment and Resource Engineering, Graduate School of Hokkaido University, N13 W8, Northward, Sapporo 060-8628, Japan;

    Division of Environment and Resource Engineering, Graduate School of Hokkaido University, N13 W8, Northward, Sapporo 060-8628, Japan;

    Division of Environment and Resource Engineering, Graduate School of Hokkaido University, N13 W8, Northward, Sapporo 060-8628, Japan;

    Division of Environment and Resource Engineering, Graduate School of Hokkaido University, N13 W8, Northward, Sapporo 060-8628, Japan;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 TP399:TV;
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