Flood frequency and flood forecasting analysis of Krishna basin Andhra Pradesh

Q4 Engineering
Sanjeet Kumar, Madhusudhan M. Reddy, Meena Isukapatla, Mara Suneel Kumar Reddy
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引用次数: 0

Abstract

Floods are occurrences of natural hazards, frequent during the year in many rivers across the globe. Every year, several rivers in India are vulnerable to flooding, causing loss of property and life. Krishna is one of the major rivers in India which is vulnerable to flooding in every monsoon. In this study, flood analysis was conducted for the year 2019. Rainfall data from AWS was used to estimate discharge levels in dams during the monsoon of 2019. It was observed that moderate rainfall occurred in the months of August and September, corresponding to low rainfall and that extreme flooding occurred in the same month. Compared to the flood inundation map of the satellite, it shows a close relationship with the flood map of 2019 and the affected area. The study shows that proper analysis of rainfall will be helpful in predicting downstream floods. To evaluate the flood control situation with appropriate data management in the Krishna basin, the usage of flood water is strong. Such types of studies would help to provide reliable and prompt flood forecasts and advance warning to redirect the main river flow to small canals, which will help to mitigate, excavate and remediate flooding in any area.
安得拉邦克里希纳盆地洪水频率及洪水预报分析
洪水是一种自然灾害,每年在全球许多河流中频繁发生。每年,印度的几条河流都容易遭受洪水的侵袭,造成财产和生命的损失。克里希纳河是印度的主要河流之一,在每个季风季节都容易发生洪水。在本研究中,对2019年的洪水进行了分析。AWS的降雨数据被用来估计2019年季风期间大坝的流量水平。据观察,8月和9月出现了中等降雨,与低降雨量相对应,同月发生了极端洪水。与卫星的洪水淹没图相比,它与2019年的洪水图和受影响区域关系密切。研究表明,适当的降水分析将有助于预测下游洪水。通过合理的数据管理,对克里希纳流域的防洪情况进行评价。这种类型的研究将有助于提供可靠和及时的洪水预报和预警,以使主要河流流向小运河,这将有助于减轻、挖掘和修复任何地区的洪水。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Disaster Advances
Disaster Advances 地学-地球科学综合
CiteScore
0.70
自引率
0.00%
发文量
57
审稿时长
3.5 months
期刊介绍: Information not localized
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