Publication Date: 2023/11/09
Abstract: Floods are recurring natural disasters, especially in the flood-prone region of northern Bangladesh, where flash floods regularly affect communities living along rivers like the Teesta. This study employs flood frequency analysis to understand the occurrence and characteristics of these floods. Hydrological data spanning 32 years (1979-2021) from the Teesta River in Bangladesh is analyzed to determine flood frequency, particularly focusing on return periods of 5, 10, 50, and 100 years. The results reveal that the Teesta River basin experienced its highest annual flow in 2003, with 1998 recording the second-highest flow. The Gumbel's Extreme Value Distribution and Log Pearson Type III Distribution methods are both used for flood frequency analysis. The study calculates peak discharges for various return periods, demonstrating that Gumbel's method provides more accurate estimates compared to the Log Pearson method for the Teesta River. These findings are vital for flood risk assessment, disaster preparedness, and infrastructure development in flood-prone areas, contributing to informed decision-making and improved flood management strategies. Understanding flood frequency and characteristics is crucial in a region where flooding is a recurring and challenging issue.
Keywords: Flood, Flood Frequency Analysis, Return periods, Gumble'sMethod ,Pearson Method.
DOI: https://doi.org/10.5281/zenodo.10153027
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT23OCT1864.pdf
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