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Modeling of Discharge Distribution in Bend of Ganga River at Varanasi

机译:瓦拉纳西恒河折弯流量分布模型

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Dynamics of river behavior plays a great role in meandering, sediment transporting, scouring, etc. of river at bend, which solely depends on hydraulics properties such as horizontal and vertical stress, spatial and temporal variation of discharge. Therefore understanding of discharge distribution of river Ganga is essential to apprehend the behavior of river cross section at bend particularly. The measurement of discharge is not very simple as there is no instrument that can measure the discharge directly, but velocity measurement at a section can be made. Velocity distribution at different cross sections at a time is also not easy with single measurement with the help of any instrument and method, so it required repetitions of the measurement. Velocity near the end of bank, top and bottom layer of natural streams is difficult to be measured, yet velocity distribution at these regions plays important role in characterizing the behavior of river. This paper deals with the new advanced discharge measurement technique and measured discharge data has been used for modelling at river bend. To carry out the distribution of discharge and velocity with depth in river Ganga, the length of river in study area was distributed into 14 different cross sections, M-1 to M-14, measured downstream to upstream and the measurement was done by using of ADCP (Acoustic Doppler Current Profiler). At each cross section, profiles were measured independently by an ADCP and data acquired from ADCP were further used for the regression modeling. A multiple linear regression model was developed, which showed a high correlation among the discharge, depth and velocity parameters with the root mean square error (R2) value of 0.8624.
机译:河流行为的动力学在弯曲河道的曲折,泥沙输送,冲刷等方面起着重要作用,这完全取决于水力特性,例如水平和垂直应力,流量的时空变化。因此,了解冈加河的流量分布对于理解弯头河道横截面的行为至关重要。排放的测量不是很简单,因为没有可以直接测量排放的仪器,但是可以进行截面速度的测量。在任何仪器和方法的帮助下,一次测量一次在不同横截面上的速度分布也不容易,因此需要重复进行测量。很难测量天然河岸末端,顶层和底层附近的速度,但是这些区域的速度分布在表征河流行为方面起着重要作用。本文介绍了新的先进流量测量技术,并将测得的流量数据用于河弯建模。为了对恒河中的流量和流速进行深度分布,将研究区的河段分布在M-1至M-14这14个不同的横截面中,从下游到上游进行测量,并使用ADCP(声学多普勒电流分析仪)。在每个横截面上,通过ADCP独立测量轮廓,并且将从ADCP获得的数据进一步用于回归建模。建立了多元线性回归模型,该模型显示出流量,深度和速度参数之间的高度相关性,均方根误差(R2)值为0.8624。

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