Hydrodynamic flow modelling and effect of roughness on river stage forecasting

A. Kambekar, Shweta Patil
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Abstract

In recent times, undesirable climatic conditions have been attributed to climate change. The intensity of rainfall has amplified extremely, causing floods in many areas worldwide. It is desirable to regulate and minimize the consequences of floods and excess downpour. Using geospatial data for the development of hydraulic models and mapping of simulation results has become standard practice for floodplain assessment. The objective of the current investigation is to use one-dimensional floodplain modeling of the Bhima River between Lonikand and Rahu using the RAS-mapper tool (HEC-RAS). The modeled river reach is about 67 km long, near the Pune administrative division of Maharashtra, India. The hydrodynamic flow computations were carried out for the years 2005 and 2017. A total of 595 cross sections along the main river was employed for hydrodynamic flow simulations. In this study, cross-sections and past observed flood data have been used to develop a 1-D integrated hydraulic model of the Bhima River. The simulated water levels are also validated with observed water levels and found to be reasonably correlated.
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水动力流模拟及粗糙度对河段预报的影响
近年来,恶劣的气候条件被归因于气候变化。降雨强度大大增加,在全球许多地区造成洪水。调节和减少洪水和过量暴雨的后果是可取的。利用地理空间数据建立水工模型和绘制模拟结果已成为河漫滩评估的标准做法。当前调查的目的是使用ras - ras工具(HEC-RAS)对Lonikand和Rahu之间的Bhima河进行一维洪泛平原建模。模拟的河流长度约为67公里,靠近印度马哈拉施特拉邦的浦那行政区划。2005年和2017年进行了水动力流量计算。主要河流共595个断面进行了水动力流模拟。在本研究中,利用断面和过去观测到的洪水数据,建立了比马河的一维综合水力模型。模拟水位与观测水位也进行了验证,发现两者之间存在一定的相关性。
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