A TREND ANALYSIS OF RAINFALL IN KHULNA DISTRICT OF BANGLADESH

Bangladesh, despite having a subtropical monsoon climate characterized by a waterless winter and warm summer, is one of the peak susceptible countries to climate change. Recently, climate change has garnered significant attention from academics, researchers, and policymakers globally. This study examines the trends in annual as well as monthly rainfall in the Khulna district of Bangladesh over a 20-year period (2003-2022). The aim is to provide current insights into weather patterns, particularly rainfall, in the Khulna district. Secondary data on rainfall were obtained from the Regional Inspection Center (RIC), Bangladesh Meteorological Department in Gallamari, Khulna. Descriptive statistics i.e., mean, standard deviation, and coefficient of variation were estimated to describe the annual and monthly distribution of rainfall. Trend analyses were conducted using bivariate analysis, and simple regression was engaged to assess the relationship between years with rainfall data. The results revealed that monthly rainfall did not follow a consistent pattern, with both increasing and declining trends were detected over the years. When annual rainfall was plotted against years, a negative relationship was identified (y= -12.877x + 27742, R2 = 0.0489). Similarly, mean monthly rainfall showed a declining trend over time (y= -1.0731x + 2311.9, R2 = 0.0489). However, these relationships were not statistically significant. The study underscores the need to implement various adaptation strategies to ensure sustainable agricultural production in the Khulna region. It also suggests the necessity of enhanced monitoring methods due to the instability of temperature and rainfall patterns.

Authors

Institutions

Publication Details

Journal
Big Data In Water Resources Engineering (BDWRE)
Published
2024-09-27
DOI
https://doi.org/10.26480/bdwre.02.2024.30.37
Citations
4
Primary Topic
Agricultural Economics and Practices
Type
article
Field-Weighted Citation Impact
5.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A TREND ANALYSIS OF RAINFALL IN KHULNA DISTRICT OF BANGLADESH

M. Sarwar Jahan, S.M. Abdullah Al Mamun, Sanjida Akter Nishita, Afifa Tamim
4 citations
Big Data In Water Resources Engineering (BDWRE)
Agricultural Economics and Practices
5.37
article

A TREND ANALYSIS OF RAINFALL IN KHULNA DISTRICT OF BANGLADESH

M. Sarwar Jahan, S.M. Abdullah Al Mamun, Sanjida Akter Nishita, Afifa Tamim
article en
4 citations

Abstract

Bangladesh, despite having a subtropical monsoon climate characterized by a waterless winter and warm summer, is one of the peak susceptible countries to climate change. Recently, climate change has garnered significant attention from academics, researchers, and policymakers globally. This study examines the trends in annual as well as monthly rainfall in the Khulna district of Bangladesh over a 20-year period (2003-2022). The aim is to provide current insights into weather patterns, particularly rainfall, in the Khulna district. Secondary data on rainfall were obtained from the Regional Inspection Center (RIC), Bangladesh Meteorological Department in Gallamari, Khulna. Descriptive statistics i.e., mean, standard deviation, and coefficient of variation were estimated to describe the annual and monthly distribution of rainfall. Trend analyses were conducted using bivariate analysis, and simple regression was engaged to assess the relationship between years with rainfall data. The results revealed that monthly rainfall did not follow a consistent pattern, with both increasing and declining trends were detected over the years. When annual rainfall was plotted against years, a negative relationship was identified (y= -12.877x + 27742, R2 = 0.0489). Similarly, mean monthly rainfall showed a declining trend over time (y= -1.0731x + 2311.9, R2 = 0.0489). However, these relationships were not statistically significant. The study underscores the need to implement various adaptation strategies to ensure sustainable agricultural production in the Khulna region. It also suggests the necessity of enhanced monitoring methods due to the instability of temperature and rainfall patterns.

Big Data In Water Resources Engineering (BDWRE)Vol. 5(2)
Khulna University (BD)
Openalex Percentile: Top 4%
Agricultural Economics and Practices
5.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.