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.