纵断面单程距离的概率论研究

Seongryul Kim, Ji-hyun Moon, Hae-Sung Jeon, J. Sue, Y. Choo
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引用次数: 0

摘要

为了有效地利用水工设施,必须详细地知道河流的流速。在现实中,由于成本高,速度测量没有得到充分的实施。计算河流流量和流速的公式通常被称为曼宁公式和Chezy公式,它们是应用于均匀流量的经验方程。本研究以Chiu(1987)的论文为基础,利用熵理论解决了现有速度公式和分布的局限性,提出了由信息熵推导出的速度和距离公式。利用有点速度记录的通道数据验证了推导公式的实用性,距离R值为0.9993,速度R值为0.8051~0.9483。利用一些水流信息,计算出一个移动点随水流移动的距离和速度,解决了在需要时频繁进行洪水测量的困难。这可以用来制作一条由水平距离和海拔组成的河流的纵剖面。此外,地理信息系统使获得准确的信息成为可能,例如河流的特征。将流量信息与GIS模型相结合,可作为洪水预警和预测系统。
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A Study on the One-Way Distance in the Longitudinal Section Using Probabilistic Theory
To use a hydraulic structure effectively, the velocity of a river should be known in detail. In reality, velocity measurements are not conducted sufficiently because of their high cost. The formulae to yield the flux and velocity of the river are commonly called the Manning and Chezy formulae, which are empirical equations applied to uniform flow. This study is based on Chiu (1987)'s paper using entropy theory to solve the limits of the existing velocity formula and distribution and suggests the velocity and distance formula derived from information entropy. The data of a channel having records of a spot's velocity was used to verify the derived formula's utility and showed R values of distance and velocity of 0.9993 and 0.8051~0.9483, respectively. The travel distance and velocity of a moving spot following the streamflow were calculated using some flow information, which solves the difficulty in frequent flood measurements when it is needed. This can be used to make a longitudinal section of a river composed of a horizontal distance and elevation. Moreover, GIS makes it possible to obtain accurate information, such as the characteristics of a river. The connection with flow information and GIS model can be used as alarming and expecting flood systems.
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