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Long-term trends and spatial variability in rainfall in the southeast region of Bangladesh: implication for sustainable water resources management
by
Islam, Abu Reza Md. Towfiqul
, Khedher, Khaled Mohamed
, Kafy, Abdulla - Al
, Nath, Hrithik
, Nath, Srijan
, Shohan, Ahmed Ali A.
, Adhikary, Sajal Kumar
, Alsulamy, Saleh
in
Analysis
/ Annual
/ Annual precipitation
/ Annual rainfall
/ Aquatic Pollution
/ Aquatic resources
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Atmospheric Sciences
/ Bangladesh
/ Breakpoints
/ Climate
/ Climatology
/ data collection
/ Disaster management
/ disaster preparedness
/ Drought
/ Droughts
/ Earth and Environmental Science
/ Earth Sciences
/ Emergency management
/ Emergency preparedness
/ Homogeneity
/ Hydrologic data
/ Management
/ meteorological data
/ Monsoon rainfall
/ monsoon season
/ Monthly rainfall
/ Monthly rainfall data
/ Precipitation
/ Precipitation variability
/ rain
/ Rain and rainfall
/ Rainfall
/ Rainfall anomalies
/ Rainfall trends
/ Rainfall variability
/ Seasonal rainfall
/ Seasonal variability
/ Spatial variability
/ Spatial variations
/ Sustainability
/ Trend analysis
/ Trends
/ Waste Water Technology
/ Water
/ Water depth
/ Water in agriculture
/ Water Management
/ Water Pollution Control
/ Water resources
/ Water resources management
/ Water-supply, Agricultural
2024
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Long-term trends and spatial variability in rainfall in the southeast region of Bangladesh: implication for sustainable water resources management
by
Islam, Abu Reza Md. Towfiqul
, Khedher, Khaled Mohamed
, Kafy, Abdulla - Al
, Nath, Hrithik
, Nath, Srijan
, Shohan, Ahmed Ali A.
, Adhikary, Sajal Kumar
, Alsulamy, Saleh
in
Analysis
/ Annual
/ Annual precipitation
/ Annual rainfall
/ Aquatic Pollution
/ Aquatic resources
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Atmospheric Sciences
/ Bangladesh
/ Breakpoints
/ Climate
/ Climatology
/ data collection
/ Disaster management
/ disaster preparedness
/ Drought
/ Droughts
/ Earth and Environmental Science
/ Earth Sciences
/ Emergency management
/ Emergency preparedness
/ Homogeneity
/ Hydrologic data
/ Management
/ meteorological data
/ Monsoon rainfall
/ monsoon season
/ Monthly rainfall
/ Monthly rainfall data
/ Precipitation
/ Precipitation variability
/ rain
/ Rain and rainfall
/ Rainfall
/ Rainfall anomalies
/ Rainfall trends
/ Rainfall variability
/ Seasonal rainfall
/ Seasonal variability
/ Spatial variability
/ Spatial variations
/ Sustainability
/ Trend analysis
/ Trends
/ Waste Water Technology
/ Water
/ Water depth
/ Water in agriculture
/ Water Management
/ Water Pollution Control
/ Water resources
/ Water resources management
/ Water-supply, Agricultural
2024
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Long-term trends and spatial variability in rainfall in the southeast region of Bangladesh: implication for sustainable water resources management
by
Islam, Abu Reza Md. Towfiqul
, Khedher, Khaled Mohamed
, Kafy, Abdulla - Al
, Nath, Hrithik
, Nath, Srijan
, Shohan, Ahmed Ali A.
, Adhikary, Sajal Kumar
, Alsulamy, Saleh
in
Analysis
/ Annual
/ Annual precipitation
/ Annual rainfall
/ Aquatic Pollution
/ Aquatic resources
/ Atmospheric Protection/Air Quality Control/Air Pollution
/ Atmospheric Sciences
/ Bangladesh
/ Breakpoints
/ Climate
/ Climatology
/ data collection
/ Disaster management
/ disaster preparedness
/ Drought
/ Droughts
/ Earth and Environmental Science
/ Earth Sciences
/ Emergency management
/ Emergency preparedness
/ Homogeneity
/ Hydrologic data
/ Management
/ meteorological data
/ Monsoon rainfall
/ monsoon season
/ Monthly rainfall
/ Monthly rainfall data
/ Precipitation
/ Precipitation variability
/ rain
/ Rain and rainfall
/ Rainfall
/ Rainfall anomalies
/ Rainfall trends
/ Rainfall variability
/ Seasonal rainfall
/ Seasonal variability
/ Spatial variability
/ Spatial variations
/ Sustainability
/ Trend analysis
/ Trends
/ Waste Water Technology
/ Water
/ Water depth
/ Water in agriculture
/ Water Management
/ Water Pollution Control
/ Water resources
/ Water resources management
/ Water-supply, Agricultural
2024
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Long-term trends and spatial variability in rainfall in the southeast region of Bangladesh: implication for sustainable water resources management
Journal Article
Long-term trends and spatial variability in rainfall in the southeast region of Bangladesh: implication for sustainable water resources management
2024
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Overview
Accurate and in-depth rainfall studies are crucial for understanding and assessing precipitation events’ patterns, intensities, and impacts, enabling effective planning and management of water resources, agriculture, and disaster preparedness. Despite many rainfall studies in Bangladesh at the national and regional scales, study on the spatiotemporal rainfall variability is still rare at the local scale. The current study aims to apply Mann–Kendall (MK), Modified Mann–Kendall (MMK), and Innovative Trend Analysis (ITA) techniques to assess the long-term annual and seasonal rainfall trends and variability over the southeast region of Bangladesh. Monthly rainfall data from ten Bangladesh Meteorological Department climate stations between 1981 and 2022 was used for the analysis on annual and four seasonal scales. The precipitation concentration index results showed significant variations in annual rainfall across the study area, whereas seasonal PCIs were consistent with moderate rainfall. According to standardized rainfall anomaly findings, each station experienced at least one severe to extremely severe drought episode during the 42-year study period. Homogeneity tests revealed significant breakpoints in some rainfall datasets, while 78% were declared homogeneous. MK, MMK, and ITA techniques revealed similar increasing and decreasing trend patterns throughout the study area. Annual rainfall showed an upward trend in the coastal part and a downward trend in the northern part of the study area, with monsoon rainfall exhibiting a similar trend pattern. The ITA technique outperformed the MK and MMK techniques in detecting trends, identifying significant increasing and decreasing trends in 76% (38 out of 50) of the observations, while the MK and MMK techniques detected trends in only 8% and 44% of the total observations, respectively. The outcome of the current study is expected to be helpful for the sustainable planning and management of water resources in the southeast region of Bangladesh.
Publisher
Springer Vienna,Springer,Springer Nature B.V
Subject
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