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采用 HEC-RAS 模型对佩里亚尔河进行水力建模:揭示水流动力学。

Hydraulic modeling of the Periyar River using HEC-RAS: unraveling flow dynamics.

机构信息

Division of Civil Engineering, School of Engineering, Cochin University of Science and Technology, Kochi, Kerala 682022, India E-mail:

Division of Civil Engineering, School of Engineering, Cochin University of Science and Technology, Kochi, Kerala 682022, India.

出版信息

Water Sci Technol. 2024 May;89(10):2676-2684. doi: 10.2166/wst.2024.138. Epub 2024 Apr 27.

DOI:10.2166/wst.2024.138
PMID:38822607
Abstract

The Periyar River, a vital component of Kerala's ecosystem in India, serves as a lifeline supporting agriculture, hydropower generation, and ecological equilibrium. This study adopts a multifaceted approach to address critical challenges in the Periyar basin, with a primary focus on flood mitigation due to the region's susceptibility to devastating floods. Covering a length of 67.85 km, the study intricately segments the Periyar River into distinct reaches for a comprehensive steady flow analysis, considering factors such as seasonal monsoon fluctuations, diverse catchment topography, and human-induced alterations. Utilizing advanced modeling techniques, particularly HEC-RAS software, the study effectively predicts and simulates shifts in hydraulic behavior. The results, including velocity plots and cross-sectional maps, offer accurate insights into critical parameters, enabling the identification of areas with high velocity occurrence. This information proves instrumental in making informed decisions for the construction of river restoration structures, crucial for mitigating the impact of floods. The study's findings contribute valuable tools for future forecasting and sustainable management of the Periyar River, addressing the complex interplay of natural and anthropogenic factors.

摘要

印度喀拉拉邦的皮里雅尔河是其生态系统的重要组成部分,为农业、水力发电和生态平衡提供了生命线。本研究采用多方面的方法来解决皮里雅尔河流域的关键挑战,主要侧重于减轻该地区易受毁灭性洪水影响的洪水问题。该研究涵盖了 67.85 公里的长度,将皮里雅尔河分为不同的河段,进行全面的稳定流分析,考虑了季节性季风波动、不同的集水地形和人为引起的变化等因素。该研究利用先进的建模技术,特别是 HEC-RAS 软件,有效地预测和模拟水力行为的变化。结果包括速度图和横断面图,提供了对关键参数的准确了解,有助于确定高速度发生的区域。这些信息对于构建河流恢复结构至关重要,对于减轻洪水的影响具有重要意义。该研究的结果为皮里雅尔河的未来预测和可持续管理提供了有价值的工具,解决了自然和人为因素的复杂相互作用。

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本文引用的文献

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Drinking water quality assessment of river Ganga in West Bengal, India through integrated statistical and GIS techniques.运用综合统计和地理信息系统技术对印度西孟加拉邦恒河的饮用水水质进行评估。
Water Sci Technol. 2021 Nov;84(10-11):2997-3017. doi: 10.2166/wst.2021.293.