Hydrodynamic Flood Modelling of Large Regions Under Data-Poor Situations

IF 0.5 Q4 BUSINESS International Journal of Business Pub Date : 2021-04-01 DOI:10.4018/IJBAN.2021040101
M. Mohanty, S. Karmakar
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引用次数: 1

Abstract

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.
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数据贫乏情况下大区域水动力洪水模拟
印度洪水易发地区的数据供应严重受限,限制了开展水动力洪水模拟研究的潜力。由于缺乏高分辨率的地形和河流断面数据,以及足够和准确的校准和验证数据集,因此遇到了这些困难。本研究解决了在印度奥里萨邦Jagatsinghpur洪水灾害地区进行全面的1D-2D耦合洪水建模所面临的问题。研究了水力参数(如水位、流量)和几何参数(如河流几何)所面临的约束。该模拟是针对2011年给该地区造成严重社会经济损失的严重洪水事件进行的。洪水模拟建模平台的建立,需要阐明在这些数据匮乏的洪水易发地区进行水动力建模所面临的主要制约因素。
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