文章基本信息

标题：Modeling of Discharge Distribution in Bend of Ganga River at Varanasi
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作者：Manvendra Singh Chauhan * , Prabhat Kumar Singh Dikshit , Shyam Bihari Dwivedi
期刊名称：Computational Water, Energy, and Environmental Engineering
印刷版ISSN：2168-1562
电子版ISSN：2168-1570
出版年度：2015
卷号：04
期号：03
页码：25-37
DOI：10.4236/cweee.2015.43004
语种：English
出版社：Scientific Research Publishing
摘要：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.
关键词：ADCP; Discharge; Linear Regression; River; RMS