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Hydrodynamic Flood Modelling of Large Regions Under Data-Poor Situations: A Case Study of Jagatsinghpur District, Odisha

机译:在数据贫困情况下大型地区的流体动力洪水建模:奥里萨邦Jagatsinghpur区的案例研究

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摘要

A serious constraint of data availability over flood-prone areas in India limits the potential of carrying out hydrodynamic flood modelling studies. Such difficulties are encountered because of a lack of high-resolution topography, cross-section data of the rivers, and sufficient and accurate calibration and validation data sets. The present study addresses the problems faced in performing a comprehensive 1D-2D coupled flood modelling over a flood disastrous region Jagatsinghpur, Odisha, India. The constraints faced in terms of hydraulic parameters such as water level, discharge, and geometric parameters such as river geometry are investigated. The simulations were performed for a severe flood event in 2011 that incurred heavy socio-economic losses in the district. The establishment of a modelling platform for flood simulation shall elucidate the major constraints faced in hydrodynamic modelling for such flood-prone areas with poor data availability.
机译:对印度容易洪水的地区的数据可用性严重限制限制了进行流体动力洪水建模研究的潜力。 由于缺乏高分辨率地形,河流的横截面数据以及足够,准确的校准和验证数据集,因此遇到了此类困难。 本研究解决了印度奥里萨邦奥里萨邦的洪水灾难性地区Jagatsinghpur进行全面的1D-2D耦合洪水建模所面临的问题。 研究了诸如水位,排放和几何参数(例如河流几何形状)等液压参数所面临的约束。 对2011年严重洪水事件进行了模拟,该事件损失了该地区的重大社会经济损失。 建立用于洪水模拟的建模平台应阐明该易于数据可用性的洪水动力学模型中所面临的主要限制。

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